docs: Update configuration.md (#782)

Version Packages

.changeset/all-parks-sort.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-- Fix expand-all command bugs that caused NaN errors with --all option and JSON formatting errors with research enabled. Improved error handling to provide clear feedback when subtask generation fails, including task IDs and actionable suggestions.

.changeset/brave-doors-open.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-Ensures add-task also has manual creation flags like --title/-t, --description/-d etc.

.changeset/fifty-squids-wear.md

@@ -1,5 +0,0 @@
----
-"task-master-ai": patch
----
-
-Add CI for testing

.changeset/happy-snails-train.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-fix threshold parameter validation and testing for analyze-complexity.

.changeset/red-lights-mix.md

@@ -1,5 +0,0 @@
----
-"task-master-ai": patch
----
-
-Fix github actions creating npm releases on next branch push

.changeset/rotten-months-brake.md

@@ -0,0 +1,5 @@
+---
+"task-master-ai": patch
+---
+
+Fix contextGatherer bug when adding a task `Cannot read properties of undefined (reading 'forEach')`

.changeset/silly-horses-grin.md

@@ -1,5 +0,0 @@
----
-'task-master-ai': patch
----
-
-Adjusts the taskmaster.mdc rules for init and parse-prd so the LLM correctly reaches for the next steps rather than trying to reinitialize or access tasks not yet created until PRD has been parsed."

.changeset/thirty-items-kiss.md

@@ -1,11 +0,0 @@
----
-'task-master-ai': patch
----
-
-Two improvements to MCP tools:
-
-1. Adjusts the response sent to the MCP client for `initialize-project` tool so it includes an explicit `next_steps` object. This is in an effort to reduce variability in what the LLM chooses to do as soon as the confirmation of initialized project. Instead of arbitrarily looking for tasks, it will know that a PRD is required next and will steer the user towards that before reaching for the parse-prd command.
-
-2. Updates the `parse_prd` tool parameter description to explicitly mention support for .md file formats, clarifying that users can provide PRD documents in various text formats including Markdown.
-
-3. Updates the `parse_prd` tool `numTasks` param description to encourage the LLM agent to use a number of tasks to break down the PRD into that is logical relative to project complexity.

.changeset/two-bats-smoke.md

@@ -1,332 +0,0 @@
----
-"task-master-ai": patch
----
-
-- **Major Usability & Stability Enhancements:**
-  - Taskmaster can now be seamlessly used either via the globally installed `task-master` CLI (npm package) or directly via the MCP server (e.g., within Cursor). Onboarding/initialization is supported through both methods.
-  - MCP implementation is now complete and stable, making it the preferred method for integrated environments.
-- **Bug Fixes & Reliability:**
-  - Fixed MCP server invocation issue in `mcp.json` shipped with `task-master init`.
-  - Resolved issues with CLI error messages for flags and unknown commands, added confirmation prompts for destructive actions (e.g., `remove-task`).
-  - Numerous other CLI and MCP tool bugs fixed across the suite (details may be in other changesets like `@all-parks-sort.md`).
-- **Core Functionality & Commands:**
-  - Added complete `remove-task` functionality for permanent task deletion.
-  - Implemented `initialize_project` MCP tool for easier setup in integrated environments.
-  - Introduced AsyncOperationManager for handling long-running operations (e.g., `expand`, `analyze`) in the background via MCP, with status checking.
-- **Interface & Configuration:**
-  - Renamed MCP tools for intuitive usage (`list-tasks` → `get-tasks`, `show-task` → `get-task`).
-  - Added binary alias `task-master-mcp-server`.
-  - Clarified environment configuration: `.env` for npm package, `.cursor/mcp.json` for MCP.
-  - Updated model configurations (context window, temperature, defaults) for improved performance/consistency.
-- **Internal Refinements & Fixes:**
-  - Refactored AI tool patterns, implemented Logger Wrapper, fixed critical issues in `analyze-project-complexity`, `update-task`, `update-subtask`, `set-task-status`, `update`, `expand-task`, `parse-prd`, `expand-all`.
-  - Standardized and improved silent mode implementation across MCP tools to prevent JSON response issues.
-  - Improved parameter handling and project root detection for MCP tools.
-  - Centralized AI client utilities and refactored AI services.
-  - Optimized `get-task` MCP response payload.
-- **Dependency & Licensing:**
-  - Removed dependency on non-existent package `@model-context-protocol/sdk`.
-  - Updated license to MIT + Commons Clause v1.0.
-- **Documentation & UI:**
-  - Added comprehensive `taskmaster.mdc` command/tool reference and other rule updates (specific rule adjustments may be in other changesets like `@silly-horses-grin.md`).
-  - Enhanced CLI progress bars and status displays. Added "cancelled" status.
-  - Updated README, added tutorial/examples guide, supported client list documentation.
-
-- Adjusts the MCP server invokation in the mcp.json we ship with `task-master init`. Fully functional now.
-- Rename the npx -y command. It's now `npx -y task-master-ai task-master-mcp`
-- Add additional binary alias: `task-master-mcp-server` pointing to the same MCP server script
-
-- **Significant improvements to model configuration:**
-  - Increase context window from 64k to 128k tokens (MAX_TOKENS=128000) for handling larger codebases
-  - Reduce temperature from 0.4 to 0.2 for more consistent, deterministic outputs
-  - Set default model to "claude-3-7-sonnet-20250219" in configuration
-  - Update Perplexity model to "sonar-pro" for research operations
-  - Increase default subtasks generation from 4 to 5 for more granular task breakdown
-  - Set consistent default priority to "medium" for all new tasks
-
-- **Clarify environment configuration approaches:**
-  - For direct MCP usage: Configure API keys directly in `.cursor/mcp.json`
-  - For npm package usage: Configure API keys in `.env` file
-  - Update templates with clearer placeholder values and formatting
-  - Provide explicit documentation about configuration methods in both environments
-  - Use consistent placeholder format "YOUR_ANTHROPIC_API_KEY_HERE" in mcp.json
-
-- Rename MCP tools to better align with API conventions and natural language in client chat:
-  - Rename `list-tasks` to `get-tasks` for more intuitive client requests like "get my tasks"
-  - Rename `show-task` to `get-task` for consistency with GET-based API naming conventions
-
-- **Refine AI-based MCP tool implementation patterns:**
-  - Establish clear responsibilities for direct functions vs MCP tools when handling AI operations
-  - Update MCP direct function signatures to expect `context = { session }` for AI-based tools, without `reportProgress`
-  - Clarify that AI client initialization, API calls, and response parsing should be handled within the direct function
-  - Define standard error codes for AI operations (`AI_CLIENT_ERROR`, `RESPONSE_PARSING_ERROR`, etc.)
-  - Document that `reportProgress` should not be used within direct functions due to client validation issues
-  - Establish that progress indication within direct functions should use standard logging (`log.info()`)
-  - Clarify that `AsyncOperationManager` should manage progress reporting at the MCP tool layer, not in direct functions
-  - Update `mcp.mdc` rule to reflect the refined patterns for AI-based MCP tools
-  - **Document and implement the Logger Wrapper Pattern:**
-    - Add comprehensive documentation in `mcp.mdc` and `utilities.mdc` on the Logger Wrapper Pattern
-    - Explain the dual purpose of the wrapper: preventing runtime errors and controlling output format
-    - Include implementation examples with detailed explanations of why and when to use this pattern
-    - Clearly document that this pattern has proven successful in resolving issues in multiple MCP tools
-    - Cross-reference between rule files to ensure consistent guidance
-  - **Fix critical issue in `analyze-project-complexity` MCP tool:**
-    - Implement proper logger wrapper in `analyzeTaskComplexityDirect` to fix `mcpLog[level] is not a function` errors
-    - Update direct function to handle both Perplexity and Claude AI properly for research-backed analysis
-    - Improve silent mode handling with proper wasSilent state tracking
-    - Add comprehensive error handling for AI client errors and report file parsing
-    - Ensure proper report format detection and analysis with fallbacks
-    - Fix variable name conflicts between the `report` logging function and data structures in `analyzeTaskComplexity`
-  - **Fix critical issue in `update-task` MCP tool:**
-    - Implement proper logger wrapper in `updateTaskByIdDirect` to ensure mcpLog[level] calls work correctly
-    - Update Zod schema in `update-task.js` to accept both string and number type IDs
-    - Fix silent mode implementation with proper try/finally blocks
-    - Add comprehensive error handling for missing parameters, invalid task IDs, and failed updates
-  - **Refactor `update-subtask` MCP tool to follow established patterns:**
-    - Update `updateSubtaskByIdDirect` function to accept `context = { session }` parameter
-    - Add proper AI client initialization with error handling for both Anthropic and Perplexity
-    - Implement the Logger Wrapper Pattern to prevent mcpLog[level] errors
-    - Support both string and number subtask IDs with appropriate validation
-    - Update MCP tool to pass session to direct function but not reportProgress
-    - Remove commented-out calls to reportProgress for cleaner code
-    - Add comprehensive error handling for various failure scenarios
-    - Implement proper silent mode with try/finally blocks
-    - Ensure detailed successful update response information
-  - **Fix issues in `set-task-status` MCP tool:**
-    - Remove reportProgress parameter as it's not needed
-    - Improve project root handling for better session awareness
-    - Reorganize function call arguments for setTaskStatusDirect
-    - Add proper silent mode handling with try/catch/finally blocks
-    - Enhance logging for both success and error cases
-  - **Refactor `update` MCP tool to follow established patterns:**
-    - Update `updateTasksDirect` function to accept `context = { session }` parameter
-    - Add proper AI client initialization with error handling
-    - Update MCP tool to pass session to direct function but not reportProgress
-    - Simplify parameter validation using string type for 'from' parameter
-    - Improve error handling for AI client errors
-    - Implement proper silent mode handling with try/finally blocks
-    - Use `isSilentMode()` function instead of accessing global variables directly
-  - **Refactor `expand-task` MCP tool to follow established patterns:**
-    - Update `expandTaskDirect` function to accept `context = { session }` parameter
-    - Add proper AI client initialization with error handling
-    - Update MCP tool to pass session to direct function but not reportProgress
-    - Add comprehensive tests for the refactored implementation
-    - Improve error handling for AI client errors
-    - Remove non-existent 'force' parameter from direct function implementation
-    - Ensure direct function parameters match core function parameters
-    - Implement proper silent mode handling with try/finally blocks
-    - Use `isSilentMode()` function instead of accessing global variables directly
-  - **Refactor `parse-prd` MCP tool to follow established patterns:**
-    - Update `parsePRDDirect` function to accept `context = { session }` parameter for proper AI initialization
-    - Implement AI client initialization with proper error handling using `getAnthropicClientForMCP`
-    - Add the Logger Wrapper Pattern to ensure proper logging via `mcpLog`
-    - Update the core `parsePRD` function to accept an AI client parameter
-    - Implement proper silent mode handling with try/finally blocks
-    - Remove `reportProgress` usage from MCP tool for better client compatibility
-    - Fix console output that was breaking the JSON response format
-    - Improve error handling with specific error codes
-    - Pass session object to the direct function correctly
-    - Update task-manager-core.js to export AI client utilities for better organization
-    - Ensure proper option passing between functions to maintain logging context
-
-- **Update MCP Logger to respect silent mode:**
-  - Import and check `isSilentMode()` function in logger implementation
-  - Skip all logging when silent mode is enabled
-  - Prevent console output from interfering with JSON responses
-  - Fix "Unexpected token 'I', "[INFO] Gene"... is not valid JSON" errors by suppressing log output during silent mode
-
-- **Refactor `expand-all` MCP tool to follow established patterns:**
-    - Update `expandAllTasksDirect` function to accept `context = { session }` parameter
-    - Add proper AI client initialization with error handling for research-backed expansion
-    - Pass session to direct function but not reportProgress in the MCP tool
-    - Implement directory switching to work around core function limitations
-    - Add comprehensive error handling with specific error codes
-    - Ensure proper restoration of working directory after execution
-    - Use try/finally pattern for both silent mode and directory management
-    - Add comprehensive tests for the refactored implementation
-
-- **Standardize and improve silent mode implementation across MCP direct functions:**
-  - Add proper import of all silent mode utilities: `import { enableSilentMode, disableSilentMode, isSilentMode } from 'utils.js'`
-  - Replace direct access to global silentMode variable with `isSilentMode()` function calls
-  - Implement consistent try/finally pattern to ensure silent mode is always properly disabled
-  - Add error handling with finally blocks to prevent silent mode from remaining enabled after errors
-  - Create proper mixed parameter/global silent mode check pattern: `const isSilent = options.silentMode || (typeof options.silentMode === 'undefined' && isSilentMode())`
-  - Update all direct functions to follow the new implementation pattern
-  - Fix issues with silent mode not being properly disabled when errors occur
-
-- **Improve parameter handling between direct functions and core functions:**
-  - Verify direct function parameters match core function signatures
-  - Remove extraction and use of parameters that don't exist in core functions (e.g., 'force')
-  - Implement appropriate type conversion for parameters (e.g., `parseInt(args.id, 10)`)
-  - Set defaults that match core function expectations
-  - Add detailed documentation on parameter matching in guidelines
-  - Add explicit examples of correct parameter handling patterns
-
-- **Create standardized MCP direct function implementation checklist:**
-  - Comprehensive imports and dependencies section
-  - Parameter validation and matching guidelines
-  - Silent mode implementation best practices
-  - Error handling and response format patterns
-  - Path resolution and core function call guidelines
-  - Function export and testing verification steps
-  - Specific issues to watch for related to silent mode, parameters, and error cases
-  - Add checklist to subtasks for uniform implementation across all direct functions
-
-- **Implement centralized AI client utilities for MCP tools:**
-  - Create new `ai-client-utils.js` module with standardized client initialization functions
-  - Implement session-aware AI client initialization for both Anthropic and Perplexity
-  - Add comprehensive error handling with user-friendly error messages
-  - Create intelligent AI model selection based on task requirements
-  - Implement model configuration utilities that respect session environment variables
-  - Add extensive unit tests for all utility functions
-  - Significantly improve MCP tool reliability for AI operations
-  - **Specific implementations include:**
-    - `getAnthropicClientForMCP`: Initializes Anthropic client with session environment variables
-    - `getPerplexityClientForMCP`: Initializes Perplexity client with session environment variables
-    - `getModelConfig`: Retrieves model parameters from session or fallbacks to defaults
-    - `getBestAvailableAIModel`: Selects the best available model based on requirements
-    - `handleClaudeError`: Processes Claude API errors into user-friendly messages
-  - **Updated direct functions to use centralized AI utilities:**
-    - Refactored `addTaskDirect` to use the new AI client utilities with proper AsyncOperationManager integration
-    - Implemented comprehensive error handling for API key validation, AI processing, and response parsing
-    - Added session-aware parameter handling with proper propagation of context to AI streaming functions
-    - Ensured proper fallback to process.env when session variables aren't available
-
-- **Refine AI services for reusable operations:**
-  - Refactor `ai-services.js` to support consistent AI operations across CLI and MCP
-  - Implement shared helpers for streaming responses, prompt building, and response parsing
-  - Standardize client initialization patterns with proper session parameter handling
-  - Enhance error handling and loading indicator management
-  - Fix process exit issues to prevent MCP server termination on API errors
-  - Ensure proper resource cleanup in all execution paths
-  - Add comprehensive test coverage for AI service functions
-  - **Key improvements include:**
-    - Stream processing safety with explicit completion detection
-    - Standardized function parameter patterns
-    - Session-aware parameter extraction with sensible defaults
-    - Proper cleanup using try/catch/finally patterns
-
-- **Optimize MCP response payloads:**
-  - Add custom `processTaskResponse` function to `get-task` MCP tool to filter out unnecessary `allTasks` array data
-  - Significantly reduce response size by returning only the specific requested task instead of all tasks
-  - Preserve dependency status relationships for the UI/CLI while keeping MCP responses lean and efficient
-
-- **Implement complete remove-task functionality:**
-  - Add `removeTask` core function to permanently delete tasks or subtasks from tasks.json
-  - Implement CLI command `remove-task` with confirmation prompt and force flag support
-  - Create MCP `remove_task` tool for AI-assisted task removal
-  - Automatically handle dependency cleanup by removing references to deleted tasks
-  - Update task files after removal to maintain consistency
-  - Provide robust error handling and detailed feedback messages
-
-- **Update Cursor rules and documentation:**
-  - Enhance `new_features.mdc` with comprehensive guidelines for implementing removal commands
-  - Update `commands.mdc` with best practices for confirmation flows and cleanup procedures
-  - Expand `mcp.mdc` with detailed instructions for MCP tool implementation patterns
-  - Add examples of proper error handling and parameter validation to all relevant rules
-  - Include new sections about handling dependencies during task removal operations
-  - Document naming conventions and implementation patterns for destructive operations
-  - Update silent mode implementation documentation with proper examples
-  - Add parameter handling guidelines emphasizing matching with core functions
-  - Update architecture documentation with dedicated section on silent mode implementation
-
-- **Implement silent mode across all direct functions:**
-  - Add `enableSilentMode` and `disableSilentMode` utility imports to all direct function files
-  - Wrap all core function calls with silent mode to prevent console logs from interfering with JSON responses
-  - Add comprehensive error handling to ensure silent mode is disabled even when errors occur
-  - Fix "Unexpected token 'I', "[INFO] Gene"... is not valid JSON" errors by suppressing log output
-  - Apply consistent silent mode pattern across all MCP direct functions
-  - Maintain clean JSON responses for better integration with client tools
-
-- **Implement AsyncOperationManager for background task processing:**
-  - Add new `async-manager.js` module to handle long-running operations asynchronously
-  - Support background execution of computationally intensive tasks like expansion and analysis
-  - Implement unique operation IDs with UUID generation for reliable tracking
-  - Add operation status tracking (pending, running, completed, failed)
-  - Create `get_operation_status` MCP tool to check on background task progress
-  - Forward progress reporting from background tasks to the client
-  - Implement operation history with automatic cleanup of completed operations
-  - Support proper error handling in background tasks with detailed status reporting
-  - Maintain context (log, session) for background operations ensuring consistent behavior
-
-- **Implement initialize_project command:**
-  - Add new MCP tool to allow project setup via integrated MCP clients
-  - Create `initialize_project` direct function with proper parameter handling
-  - Improve onboarding experience by adding to mcp.json configuration
-  - Support project-specific metadata like name, description, and version
-  - Handle shell alias creation with proper confirmation
-  - Improve first-time user experience in AI environments
-
-- **Refactor project root handling for MCP Server:**
-  - **Prioritize Session Roots**: MCP tools now extract the project root path directly from `session.roots[0].uri` provided by the client (e.g., Cursor).
-  - **New Utility `getProjectRootFromSession`**: Added to `mcp-server/src/tools/utils.js` to encapsulate session root extraction and decoding. **Further refined for more reliable detection, especially in integrated environments, including deriving root from script path and avoiding fallback to '/'.**
-  - **Simplify `findTasksJsonPath`**: The core path finding utility in `mcp-server/src/core/utils/path-utils.js` now prioritizes the `projectRoot` passed in `args` (originating from the session). Removed checks for `TASK_MASTER_PROJECT_ROOT` env var (we do not use this anymore) and package directory fallback. **Enhanced error handling to include detailed debug information (paths searched, CWD, server dir, etc.) and clearer potential solutions when `tasks.json` is not found.**
-  - **Retain CLI Fallbacks**: Kept `lastFoundProjectRoot` cache check and CWD search in `findTasksJsonPath` for compatibility with direct CLI usage.
-
-- Updated all MCP tools to use the new project root handling:
-  - Tools now call `getProjectRootFromSession` to determine the root.
-  - This root is passed explicitly as `projectRoot` in the `args` object to the corresponding `*Direct` function.
-  - Direct functions continue to use the (now simplified) `findTasksJsonPath` to locate `tasks.json` within the provided root.
-  - This ensures tools work reliably in integrated environments without requiring the user to specify `--project-root`.
-
-- Add comprehensive PROJECT_MARKERS array for detecting common project files (used in CLI fallback logic).
-- Improved error messages with specific troubleshooting guidance.
-- **Enhanced logging:**
-    - Indicate the source of project root selection more clearly.
-    - **Add verbose logging in `get-task.js` to trace session object content and resolved project root path, aiding debugging.**
-
-- DRY refactoring by centralizing path utilities in `core/utils/path-utils.js` and session handling in `tools/utils.js`.
-- Keep caching of `lastFoundProjectRoot` for CLI performance.
-
-- Split monolithic task-master-core.js into separate function files within direct-functions directory.
-- Implement update-task MCP command for updating a single task by ID.
-- Implement update-subtask MCP command for appending information to specific subtasks.
-- Implement generate MCP command for creating individual task files from tasks.json.
-- Implement set-status MCP command for updating task status.
-- Implement get-task MCP command for displaying detailed task information (renamed from show-task).
-- Implement next-task MCP command for finding the next task to work on.
-- Implement expand-task MCP command for breaking down tasks into subtasks.
-- Implement add-task MCP command for creating new tasks using AI assistance.
-- Implement add-subtask MCP command for adding subtasks to existing tasks.
-- Implement remove-subtask MCP command for removing subtasks from parent tasks.
-- Implement expand-all MCP command for expanding all tasks into subtasks.
-- Implement analyze-complexity MCP command for analyzing task complexity.
-- Implement clear-subtasks MCP command for clearing subtasks from parent tasks.
-- Implement remove-dependency MCP command for removing dependencies from tasks.
-- Implement validate-dependencies MCP command for checking validity of task dependencies.
-- Implement fix-dependencies MCP command for automatically fixing invalid dependencies.
-- Implement complexity-report MCP command for displaying task complexity analysis reports.
-- Implement add-dependency MCP command for creating dependency relationships between tasks.
-- Implement get-tasks MCP command for listing all tasks (renamed from list-tasks).
-- Implement `initialize_project` MCP tool to allow project setup via MCP client and radically improve and simplify onboarding by adding to mcp.json (e.g., Cursor).
-
-- Enhance documentation and tool descriptions:
-  - Create new `taskmaster.mdc` Cursor rule for comprehensive MCP tool and CLI command reference.
-  - Bundle taskmaster.mdc with npm package and include in project initialization.
-  - Add detailed descriptions for each tool's purpose, parameters, and common use cases.
-  - Include natural language patterns and keywords for better intent recognition.
-  - Document parameter descriptions with clear examples and default values.
-  - Add usage examples and context for each command/tool.
-  - **Update documentation (`mcp.mdc`, `utilities.mdc`, `architecture.mdc`, `new_features.mdc`, `commands.mdc`) to reflect the new session-based project root handling and the preferred MCP vs. CLI interaction model.**
-  - Improve clarity around project root auto-detection in tool documentation.
-  - Update tool descriptions to better reflect their actual behavior and capabilities.
-  - Add cross-references between related tools and commands.
-  - Include troubleshooting guidance in tool descriptions.
-  - **Add default values for `DEFAULT_SUBTASKS` and `DEFAULT_PRIORITY` to the example `.cursor/mcp.json` configuration.**
-
-- Document MCP server naming conventions in architecture.mdc and mcp.mdc files (file names use kebab-case, direct functions use camelCase with Direct suffix, tool registration functions use camelCase with Tool suffix, and MCP tool names use snake_case).
-- Update MCP tool naming to follow more intuitive conventions that better align with natural language requests in client chat applications.
-- Enhance task show view with a color-coded progress bar for visualizing subtask completion percentage.
-- Add "cancelled" status to UI module status configurations for marking tasks as cancelled without deletion.
-- Improve MCP server resource documentation with comprehensive implementation examples and best practices.
-- Enhance progress bars with status breakdown visualization showing proportional sections for different task statuses.
-- Add improved status tracking for both tasks and subtasks with detailed counts by status.
-- Optimize progress bar display with width constraints to prevent UI overflow on smaller terminals.
-- Improve status counts display with clear text labels beside status icons for better readability.
-- Treat deferred and cancelled tasks as effectively complete for progress calculation while maintaining visual distinction.
-- **Fix `reportProgress` calls** to use the correct `{ progress, total? }` format.
-- **Standardize logging in core task-manager functions (`expandTask`, `expandAllTasks`, `updateTasks`, `updateTaskById`, `updateSubtaskById`, `parsePRD`, `analyzeTaskComplexity`):**
-  - Implement a local `report` function in each to handle context-aware logging.
-  - Use `report` to choose between `mcpLog` (if available) and global `log` (from `utils.js`).
-  - Only call global `log` when `outputFormat` is 'text' and silent mode is off.
-  - Wrap CLI UI elements (tables, boxes, spinners) in `outputFormat === 'text'` checks.

.cursor/mcp.json

@@ -1,17 +1,19 @@
 {
 	"mcpServers": {
-		"taskmaster-ai": {
+		"task-master-ai": {
 			"command": "node",
 			"args": ["./mcp-server/server.js"],
 			"env": {
-				"ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
-				"PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
-				"MODEL": "claude-3-7-sonnet-20250219",
-				"PERPLEXITY_MODEL": "sonar-pro",
-				"MAX_TOKENS": 64000,
-				"TEMPERATURE": 0.2,
-				"DEFAULT_SUBTASKS": 5,
-				"DEFAULT_PRIORITY": "medium"
+				"ANTHROPIC_API_KEY": "ANTHROPIC_API_KEY_HERE",
+				"PERPLEXITY_API_KEY": "PERPLEXITY_API_KEY_HERE",
+				"OPENAI_API_KEY": "OPENAI_API_KEY_HERE",
+				"GOOGLE_API_KEY": "GOOGLE_API_KEY_HERE",
+				"XAI_API_KEY": "XAI_API_KEY_HERE",
+				"OPENROUTER_API_KEY": "OPENROUTER_API_KEY_HERE",
+				"MISTRAL_API_KEY": "MISTRAL_API_KEY_HERE",
+				"AZURE_OPENAI_API_KEY": "AZURE_OPENAI_API_KEY_HERE",
+				"OLLAMA_API_KEY": "OLLAMA_API_KEY_HERE",
+				"GITHUB_API_KEY": "GITHUB_API_KEY_HERE"
 			}
 		}
 	}

.cursor/rules/ai_providers.mdc

@@ -0,0 +1,155 @@
+---
+description: Guidelines for managing Task Master AI providers and models.
+globs: 
+alwaysApply: false
+---
+# Task Master AI Provider Management
+
+This rule guides AI assistants on how to view, configure, and interact with the different AI providers and models supported by Task Master. For internal implementation details of the service layer, see [`ai_services.mdc`](mdc:.cursor/rules/ai_services.mdc).
+
+-   **Primary Interaction:**
+    -   Use the `models` MCP tool or the `task-master models` CLI command to manage AI configurations. See [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc) for detailed command/tool usage.
+
+-   **Configuration Roles:**
+    -   Task Master uses three roles for AI models:
+        -   `main`: Primary model for general tasks (generation, updates).
+        -   `research`: Model used when the `--research` flag or `research: true` parameter is used (typically models with web access or specialized knowledge).
+        -   `fallback`: Model used if the primary (`main`) model fails.
+    -   Each role is configured with a specific `provider:modelId` pair (e.g., `openai:gpt-4o`).
+
+-   **Viewing Configuration & Available Models:**
+    -   To see the current model assignments for each role and list all models available for assignment:
+        -   **MCP Tool:** `models` (call with no arguments or `listAvailableModels: true`)
+        -   **CLI Command:** `task-master models`
+    -   The output will show currently assigned models and a list of others, prefixed with their provider (e.g., `google:gemini-2.5-pro-exp-03-25`).
+
+-   **Setting Models for Roles:**
+    -   To assign a model to a role:
+        -   **MCP Tool:** `models` with `setMain`, `setResearch`, or `setFallback` parameters.
+        -   **CLI Command:** `task-master models` with `--set-main`, `--set-research`, or `--set-fallback` flags.
+    -   **Crucially:** When providing the model ID to *set*, **DO NOT include the `provider:` prefix**. Use only the model ID itself.
+        -   ✅ **DO:** `models(setMain='gpt-4o')` or `task-master models --set-main=gpt-4o`
+        -   ❌ **DON'T:** `models(setMain='openai:gpt-4o')` or `task-master models --set-main=openai:gpt-4o`
+    -   The tool/command will automatically determine the provider based on the model ID.
+
+-   **Setting Custom Models (Ollama/OpenRouter):**
+    -   To set a model ID not in the internal list for Ollama or OpenRouter:
+        -   **MCP Tool:** Use `models` with `set<Role>` and **also** `ollama: true` or `openrouter: true`.
+            -   Example: `models(setMain='my-custom-ollama-model', ollama=true)`
+            -   Example: `models(setMain='some-openrouter-model', openrouter=true)`
+        -   **CLI Command:** Use `task-master models` with `--set-<role>` and **also** `--ollama` or `--openrouter`.
+            -   Example: `task-master models --set-main=my-custom-ollama-model --ollama`
+            -   Example: `task-master models --set-main=some-openrouter-model --openrouter`
+        -   **Interactive Setup:** Use `task-master models --setup` and select the `Ollama (Enter Custom ID)` or `OpenRouter (Enter Custom ID)` options.
+    -   **OpenRouter Validation:** When setting a custom OpenRouter model, Taskmaster attempts to validate the ID against the live OpenRouter API.
+    -   **Ollama:** No live validation occurs for custom Ollama models; ensure the model is available on your Ollama server.
+
+-   **Supported Providers & Required API Keys:**
+    -   Task Master integrates with various providers via the Vercel AI SDK.
+    -   **API keys are essential** for most providers and must be configured correctly.
+    -   **Key Locations** (See [`dev_workflow.mdc`](mdc:.cursor/rules/dev_workflow.mdc) - Configuration Management):
+        -   **MCP/Cursor:** Set keys in the `env` section of `.cursor/mcp.json`.
+        -   **CLI:** Set keys in a `.env` file in the project root.
+    -   **Provider List & Keys:**
+        -   **`anthropic`**: Requires `ANTHROPIC_API_KEY`.
+        -   **`google`**: Requires `GOOGLE_API_KEY`.
+        -   **`openai`**: Requires `OPENAI_API_KEY`.
+        -   **`perplexity`**: Requires `PERPLEXITY_API_KEY`.
+        -   **`xai`**: Requires `XAI_API_KEY`.
+        -   **`mistral`**: Requires `MISTRAL_API_KEY`.
+        -   **`azure`**: Requires `AZURE_OPENAI_API_KEY` and `AZURE_OPENAI_ENDPOINT`.
+        -   **`openrouter`**: Requires `OPENROUTER_API_KEY`.
+        -   **`ollama`**: Might require `OLLAMA_API_KEY` (not currently supported) *and* `OLLAMA_BASE_URL` (default: `http://localhost:11434/api`). *Check specific setup.*
+
+-   **Troubleshooting:**
+    -   If AI commands fail (especially in MCP context):
+        1.  **Verify API Key:** Ensure the correct API key for the *selected provider* (check `models` output) exists in the appropriate location (`.cursor/mcp.json` env or `.env`).
+        2.  **Check Model ID:** Ensure the model ID set for the role is valid (use `models` listAvailableModels/`task-master models`).
+        3.  **Provider Status:** Check the status of the external AI provider's service.
+        4.  **Restart MCP:** If changes were made to configuration or provider code, restart the MCP server.
+
+## Adding a New AI Provider (Vercel AI SDK Method)
+
+Follow these steps to integrate a new AI provider that has an official Vercel AI SDK adapter (`@ai-sdk/<provider>`):
+
+1.  **Install Dependency:**
+    -   Install the provider-specific package:
+        ```bash
+        npm install @ai-sdk/<provider-name>
+        ```
+
+2.  **Create Provider Module:**
+    -   Create a new file in `src/ai-providers/` named `<provider-name>.js`.
+    -   Use existing modules (`openai.js`, `anthropic.js`, etc.) as a template.
+    -   **Import:**
+        -   Import the provider's `create<ProviderName>` function from `@ai-sdk/<provider-name>`.
+        -   Import `generateText`, `streamText`, `generateObject` from the core `ai` package.
+        -   Import the `log` utility from `../../scripts/modules/utils.js`.
+    -   **Implement Core Functions:**
+        -   `generate<ProviderName>Text(params)`:
+            -   Accepts `params` (apiKey, modelId, messages, etc.).
+            -   Instantiate the client: `const client = create<ProviderName>({ apiKey });`
+            -   Call `generateText({ model: client(modelId), ... })`.
+            -   Return `result.text`.
+            -   Include basic validation and try/catch error handling.
+        -   `stream<ProviderName>Text(params)`:
+            -   Similar structure to `generateText`.
+            -   Call `streamText({ model: client(modelId), ... })`.
+            -   Return the full stream result object.
+            -   Include basic validation and try/catch.
+        -   `generate<ProviderName>Object(params)`:
+            -   Similar structure.
+            -   Call `generateObject({ model: client(modelId), schema, messages, ... })`.
+            -   Return `result.object`.
+            -   Include basic validation and try/catch.
+    -   **Export Functions:** Export the three implemented functions (`generate<ProviderName>Text`, `stream<ProviderName>Text`, `generate<ProviderName>Object`).
+
+3.  **Integrate with Unified Service:**
+    -   Open `scripts/modules/ai-services-unified.js`.
+    -   **Import:** Add `import * as <providerName> from '../../src/ai-providers/<provider-name>.js';`
+    -   **Map:** Add an entry to the `PROVIDER_FUNCTIONS` map:
+        ```javascript
+        '<provider-name>': {
+            generateText: <providerName>.generate<ProviderName>Text,
+            streamText: <providerName>.stream<ProviderName>Text,
+            generateObject: <providerName>.generate<ProviderName>Object
+        },
+        ```
+
+4.  **Update Configuration Management:**
+    -   Open `scripts/modules/config-manager.js`.
+    -   **`MODEL_MAP`:** Add the new `<provider-name>` key to the `MODEL_MAP` loaded from `supported-models.json` (or ensure the loading handles new providers dynamically if `supported-models.json` is updated first).
+    -   **`VALID_PROVIDERS`:** Ensure the new `<provider-name>` is included in the `VALID_PROVIDERS` array (this should happen automatically if derived from `MODEL_MAP` keys).
+    -   **API Key Handling:**
+        -   Update the `keyMap` in `_resolveApiKey` and `isApiKeySet` with the correct environment variable name (e.g., `PROVIDER_API_KEY`).
+        -   Update the `switch` statement in `getMcpApiKeyStatus` to check the corresponding key in `mcp.json` and its placeholder value.
+        -   Add a case to the `switch` statement in `getMcpApiKeyStatus` for the new provider, including its placeholder string if applicable.
+    -   **Ollama Exception:** If adding Ollama or another provider *not* requiring an API key, add a specific check at the beginning of `isApiKeySet` and `getMcpApiKeyStatus` to return `true` immediately for that provider.
+
+5.  **Update Supported Models List:**
+    -   Edit `scripts/modules/supported-models.json`.
+    -   Add a new key for the `<provider-name>`.
+    -   Add an array of model objects under the provider key, each including:
+        -   `id`: The specific model identifier (e.g., `claude-3-opus-20240229`).
+        -   `name`: A user-friendly name (optional).
+        -   `swe_score`, `cost_per_1m_tokens`: (Optional) Add performance/cost data if available.
+        -   `allowed_roles`: An array of roles (`"main"`, `"research"`, `"fallback"`) the model is suitable for.
+        -   `max_tokens`: (Optional but recommended) The maximum token limit for the model.
+
+6.  **Update Environment Examples:**
+    -   Add the new `PROVIDER_API_KEY` to `.env.example`.
+    -   Add the new `PROVIDER_API_KEY` with its placeholder (`YOUR_PROVIDER_API_KEY_HERE`) to the `env` section for `taskmaster-ai` in `.cursor/mcp.json.example` (if it exists) or update instructions.
+
+7.  **Add Unit Tests:**
+    -   Create `tests/unit/ai-providers/<provider-name>.test.js`.
+    -   Mock the `@ai-sdk/<provider-name>` module and the core `ai` module functions (`generateText`, `streamText`, `generateObject`).
+    -   Write tests for each exported function (`generate<ProviderName>Text`, etc.) to verify:
+        -   Correct client instantiation.
+        -   Correct parameters passed to the mocked Vercel AI SDK functions.
+        -   Correct handling of results.
+        -   Error handling (missing API key, SDK errors).
+
+8.  **Documentation:**
+    -   Update any relevant documentation (like `README.md` or other rules) mentioning supported providers or configuration.
+
+*(Note: For providers **without** an official Vercel AI SDK adapter, the process would involve directly using the provider's own SDK or API within the `src/ai-providers/<provider-name>.js` module and manually constructing responses compatible with the unified service layer, which is significantly more complex.)*

.cursor/rules/ai_services.mdc

@@ -0,0 +1,102 @@
+---
+description: Guidelines for interacting with the unified AI service layer.
+globs: scripts/modules/ai-services-unified.js, scripts/modules/task-manager/*.js, scripts/modules/commands.js
+---
+
+# AI Services Layer Guidelines
+
+This document outlines the architecture and usage patterns for interacting with Large Language Models (LLMs) via Task Master's unified AI service layer (`ai-services-unified.js`). The goal is to centralize configuration, provider selection, API key management, fallback logic, and error handling.
+
+**Core Components:**
+
+*   **Configuration (`.taskmasterconfig` & [`config-manager.js`](mdc:scripts/modules/config-manager.js)):**
+    *   Defines the AI provider and model ID for different **roles** (`main`, `research`, `fallback`).
+    *   Stores parameters like `maxTokens` and `temperature` per role.
+    *   Managed via the `task-master models --setup` CLI command.
+    *   [`config-manager.js`](mdc:scripts/modules/config-manager.js) provides **getters** (e.g., `getMainProvider()`, `getParametersForRole()`) to access these settings. Core logic should **only** use these getters for *non-AI related application logic* (e.g., `getDefaultSubtasks`). The unified service fetches necessary AI parameters internally based on the `role`.
+    *   **API keys** are **NOT** stored here; they are resolved via `resolveEnvVariable` (in [`utils.js`](mdc:scripts/modules/utils.js)) from `.env` (for CLI) or the MCP `session.env` object (for MCP calls). See [`utilities.mdc`](mdc:.cursor/rules/utilities.mdc) and [`dev_workflow.mdc`](mdc:.cursor/rules/dev_workflow.mdc).
+
+*   **Unified Service (`ai-services-unified.js`):**
+    *   Exports primary interaction functions: `generateTextService`, `generateObjectService`. (Note: `streamTextService` exists but has known reliability issues with some providers/payloads).
+    *   Contains the core `_unifiedServiceRunner` logic.
+    *   Internally uses `config-manager.js` getters to determine the provider/model/parameters based on the requested `role`.
+    *   Implements the **fallback sequence** (e.g., main -> fallback -> research) if the primary provider/model fails.
+    *   Constructs the `messages` array required by the Vercel AI SDK.
+    *   Implements **retry logic** for specific API errors (`_attemptProviderCallWithRetries`).
+    *   Resolves API keys automatically via `_resolveApiKey` (using `resolveEnvVariable`).
+    *   Maps requests to the correct provider implementation (in `src/ai-providers/`) via `PROVIDER_FUNCTIONS`.
+    *   Returns a structured object containing the primary AI result (`mainResult`) and telemetry data (`telemetryData`). See [`telemetry.mdc`](mdc:.cursor/rules/telemetry.mdc) for details on how this telemetry data is propagated and handled.
+
+*   **Provider Implementations (`src/ai-providers/*.js`):**
+    *   Contain provider-specific wrappers around Vercel AI SDK functions (`generateText`, `generateObject`).
+
+**Usage Pattern (from Core Logic like `task-manager/*.js`):**
+
+1.  **Import Service:** Import `generateTextService` or `generateObjectService` from `../ai-services-unified.js`.
+    ```javascript
+    // Preferred for most tasks (especially with complex JSON)
+    import { generateTextService } from '../ai-services-unified.js';
+
+    // Use if structured output is reliable for the specific use case
+    // import { generateObjectService } from '../ai-services-unified.js';
+    ```
+
+2.  **Prepare Parameters:** Construct the parameters object for the service call.
+    *   `role`: **Required.** `'main'`, `'research'`, or `'fallback'`. Determines the initial provider/model/parameters used by the unified service.
+    *   `session`: **Required if called from MCP context.** Pass the `session` object received by the direct function wrapper. The unified service uses `session.env` to find API keys.
+    *   `systemPrompt`: Your system instruction string.
+    *   `prompt`: The user message string (can be long, include stringified data, etc.).
+    *   (For `generateObjectService` only): `schema` (Zod schema), `objectName`.
+
+3.  **Call Service:** Use `await` to call the service function.
+    ```javascript
+    // Example using generateTextService (most common)
+    try {
+        const resultText = await generateTextService({
+            role: useResearch ? 'research' : 'main', // Determine role based on logic
+            session: context.session, // Pass session from context object
+            systemPrompt: "You are...",
+            prompt: userMessageContent
+        });
+        // Process the raw text response (e.g., parse JSON, use directly)
+        // ...
+    } catch (error) {
+        // Handle errors thrown by the unified service (if all fallbacks/retries fail)
+        report('error', `Unified AI service call failed: ${error.message}`);
+        throw error;
+    }
+
+    // Example using generateObjectService (use cautiously)
+    try {
+        const resultObject = await generateObjectService({
+            role: 'main',
+            session: context.session,
+            schema: myZodSchema,
+            objectName: 'myDataObject',
+            systemPrompt: "You are...",
+            prompt: userMessageContent
+        });
+        // resultObject is already a validated JS object
+        // ...
+    } catch (error) {
+        report('error', `Unified AI service call failed: ${error.message}`);
+        throw error;
+    }
+    ```
+
+4.  **Handle Results/Errors:** Process the returned text/object or handle errors thrown by the unified service layer.
+
+**Key Implementation Rules & Gotchas:**
+
+*   ✅ **DO**: Centralize **all** LLM calls through `generateTextService` or `generateObjectService`.
+*   ✅ **DO**: Determine the appropriate `role` (`main`, `research`, `fallback`) in your core logic and pass it to the service.
+*   ✅ **DO**: Pass the `session` object (received in the `context` parameter, especially from direct function wrappers) to the service call when in MCP context.
+*   ✅ **DO**: Ensure API keys are correctly configured in `.env` (for CLI) or `.cursor/mcp.json` (for MCP).
+*   ✅ **DO**: Ensure `.taskmasterconfig` exists and has valid provider/model IDs for the roles you intend to use (manage via `task-master models --setup`).
+*   ✅ **DO**: Use `generateTextService` and implement robust manual JSON parsing (with Zod validation *after* parsing) when structured output is needed, as `generateObjectService` has shown unreliability with some providers/schemas.
+*   ❌ **DON'T**: Import or call anything from the old `ai-services.js`, `ai-client-factory.js`, or `ai-client-utils.js` files.
+*   ❌ **DON'T**: Initialize AI clients (Anthropic, Perplexity, etc.) directly within core logic (`task-manager/`) or MCP direct functions.
+*   ❌ **DON'T**: Fetch AI-specific parameters (model ID, max tokens, temp) using `config-manager.js` getters *for the AI call*. Pass the `role` instead.
+*   ❌ **DON'T**: Implement fallback or retry logic outside `ai-services-unified.js`.
+*   ❌ **DON'T**: Handle API key resolution outside the service layer (it uses `utils.js` internally).
+*   ⚠️ **generateObjectService Caution**: Be aware of potential reliability issues with `generateObjectService` across different providers and complex schemas. Prefer `generateTextService` + manual parsing as a more robust alternative for structured data needs.

.cursor/rules/architecture.mdc

@@ -3,7 +3,6 @@ description: Describes the high-level architecture of the Task Master CLI applic
 globs: scripts/modules/*.js
 alwaysApply: false
 ---
-
 # Application Architecture Overview
 
 - **Modular Structure**: The Task Master CLI is built using a modular architecture, with distinct modules responsible for different aspects of the application. This promotes separation of concerns, maintainability, and testability.
@@ -14,161 +13,106 @@ alwaysApply: false
     - **Purpose**: Defines and registers all CLI commands using Commander.js.
     - **Responsibilities** (See also: [`commands.mdc`](mdc:.cursor/rules/commands.mdc)):
       - Parses command-line arguments and options.
-      - Invokes appropriate functions from other modules to execute commands (e.g., calls `initializeProject` from `init.js` for the `init` command).
-      - Handles user input and output related to command execution.
-      - Implements input validation and error handling for CLI commands.
-    - **Key Components**:
-      - `programInstance` (Commander.js `Command` instance): Manages command definitions.
-      - `registerCommands(programInstance)`: Function to register all application commands.
-      - Command action handlers: Functions executed when a specific command is invoked, delegating to core modules.
+      - Invokes appropriate core logic functions from `scripts/modules/`.
+      - Handles user input/output for CLI.
+      - Implements CLI-specific validation.
 
-  - **[`task-manager.js`](mdc:scripts/modules/task-manager.js): Task Data Management**
-    - **Purpose**: Manages task data, including loading, saving, creating, updating, deleting, and querying tasks.
+  - **[`task-manager.js`](mdc:scripts/modules/task-manager.js) & `task-manager/` directory: Task Data & Core Logic**
+    - **Purpose**: Contains core functions for task data manipulation (CRUD), AI interactions, and related logic.
     - **Responsibilities**:
-      - Reads and writes task data to `tasks.json` file.
-      - Implements functions for task CRUD operations (Create, Read, Update, Delete).
-      - Handles task parsing from PRD documents using AI.
-      - Manages task expansion and subtask generation.
-      - Updates task statuses and properties.
-      - Implements task listing and display logic.
-      - Performs task complexity analysis using AI.
-    - **Key Functions**:
-      - `readTasks(tasksPath)` / `writeTasks(tasksPath, tasksData)`: Load and save task data.
-      - `parsePRD(prdFilePath, outputPath, numTasks)`: Parses PRD document to create tasks.
-      - `expandTask(taskId, numSubtasks, useResearch, prompt, force)`: Expands a task into subtasks.
-      - `setTaskStatus(tasksPath, taskIdInput, newStatus)`: Updates task status.
-      - `listTasks(tasksPath, statusFilter, withSubtasks)`: Lists tasks with filtering and subtask display options.
-      - `analyzeComplexity(tasksPath, reportPath, useResearch, thresholdScore)`: Analyzes task complexity.
+      - Reading/writing `tasks.json` with tagged task lists support.
+      - Implementing functions for task CRUD, parsing PRDs, expanding tasks, updating status, etc.
+      - **Tagged Task Lists**: Handles task organization across multiple contexts (tags) like "master", branch names, or project phases.
+      - **Tag Resolution**: Provides backward compatibility by resolving tagged format to legacy format transparently.
+      - **Delegating AI interactions** to the `ai-services-unified.js` layer.
+      - Accessing non-AI configuration via `config-manager.js` getters.
+    - **Key Files**: Individual files within `scripts/modules/task-manager/` handle specific actions (e.g., `add-task.js`, `expand-task.js`).
 
   - **[`dependency-manager.js`](mdc:scripts/modules/dependency-manager.js): Dependency Management**
-    - **Purpose**: Manages task dependencies, including adding, removing, validating, and fixing dependency relationships.
-    - **Responsibilities**:
-      - Adds and removes task dependencies.
-      - Validates dependency relationships to prevent circular dependencies and invalid references.
-      - Fixes invalid dependencies by removing non-existent or self-referential dependencies.
-      - Provides functions to check for circular dependencies.
-    - **Key Functions**:
-      - `addDependency(tasksPath, taskId, dependencyId)`: Adds a dependency between tasks.
-      - `removeDependency(tasksPath, taskId, dependencyId)`: Removes a dependency.
-      - `validateDependencies(tasksPath)`: Validates task dependencies.
-      - `fixDependencies(tasksPath)`: Fixes invalid task dependencies.
-      - `isCircularDependency(tasks, taskId, dependencyChain)`: Detects circular dependencies.
+    - **Purpose**: Manages task dependencies.
+    - **Responsibilities**: Add/remove/validate/fix dependencies across tagged task contexts.
 
   - **[`ui.js`](mdc:scripts/modules/ui.js): User Interface Components**
-    - **Purpose**: Handles all user interface elements, including displaying information, formatting output, and providing user feedback.
-    - **Responsibilities**:
-      - Displays task lists, task details, and command outputs in a formatted way.
-      - Uses `chalk` for colored output and `boxen` for boxed messages.
-      - Implements table display using `cli-table3`.
-      - Shows loading indicators using `ora`.
-      - Provides helper functions for status formatting, dependency display, and progress reporting.
-      - Suggests next actions to the user after command execution.
-    - **Key Functions**:
-      - `displayTaskList(tasks, statusFilter, withSubtasks)`: Displays a list of tasks in a table.
-      - `displayTaskDetails(task)`: Displays detailed information for a single task.
-      - `displayComplexityReport(reportPath)`: Displays the task complexity report.
-      - `startLoadingIndicator(message)` / `stopLoadingIndicator(indicator)`: Manages loading indicators.
-      - `getStatusWithColor(status)`: Returns status string with color formatting.
-      - `formatDependenciesWithStatus(dependencies, allTasks, inTable)`: Formats dependency list with status indicators.
+    - **Purpose**: Handles CLI output formatting (tables, colors, boxes, spinners).
+    - **Responsibilities**: Displaying tasks, reports, progress, suggestions, and migration notices for tagged systems.
 
-  - **[`ai-services.js`](mdc:scripts/modules/ai-services.js) (Conceptual): AI Integration**
-    - **Purpose**:  Abstracts interactions with AI models (like Anthropic Claude and Perplexity AI) for various features. *Note: This module might be implicitly implemented within `task-manager.js` and `utils.js` or could be explicitly created for better organization as the project evolves.*
-    - **Responsibilities**:
-      - Handles API calls to AI services.
-      - Manages prompts and parameters for AI requests.
-      - Parses AI responses and extracts relevant information.
-      - Implements logic for task complexity analysis, task expansion, and PRD parsing using AI.
-    - **Potential Functions**:
-      - `getAIResponse(prompt, model, maxTokens, temperature)`: Generic function to interact with AI model.
-      - `analyzeTaskComplexityWithAI(taskDescription)`: Sends task description to AI for complexity analysis.
-      - `expandTaskWithAI(taskDescription, numSubtasks, researchContext)`: Generates subtasks using AI.
-      - `parsePRDWithAI(prdContent)`: Extracts tasks from PRD content using AI.
+  - **[`ai-services-unified.js`](mdc:scripts/modules/ai-services-unified.js): Unified AI Service Layer**
+    - **Purpose**: Centralized interface for all LLM interactions using Vercel AI SDK.
+    - **Responsibilities** (See also: [`ai_services.mdc`](mdc:.cursor/rules/ai_services.mdc)):
+      - Exports `generateTextService`, `generateObjectService`.
+      - Handles provider/model selection based on `role` and `.taskmasterconfig`.
+      - Resolves API keys (from `.env` or `session.env`).
+      - Implements fallback and retry logic.
+      - Orchestrates calls to provider-specific implementations (`src/ai-providers/`).
+    - Telemetry data generated by the AI service layer is propagated upwards through core logic, direct functions, and MCP tools. See [`telemetry.mdc`](mdc:.cursor/rules/telemetry.mdc) for the detailed integration pattern.
 
-  - **[`utils.js`](mdc:scripts/modules/utils.js): Utility Functions and Configuration**
-    - **Purpose**: Provides reusable utility functions and global configuration settings used across the **CLI application**.
+  - **[`src/ai-providers/*.js`](mdc:src/ai-providers/): Provider-Specific Implementations**
+    - **Purpose**: Provider-specific wrappers for Vercel AI SDK functions.
+    - **Responsibilities**: Interact directly with Vercel AI SDK adapters.
+
+  - **[`config-manager.js`](mdc:scripts/modules/config-manager.js): Configuration Management**
+    - **Purpose**: Loads, validates, and provides access to configuration.
     - **Responsibilities** (See also: [`utilities.mdc`](mdc:.cursor/rules/utilities.mdc)):
-      - Manages global configuration settings loaded from environment variables and defaults.
-      - Implements logging utility with different log levels and output formatting.
-      - Provides file system operation utilities (read/write JSON files).
-      - Includes string manipulation utilities (e.g., `truncate`, `sanitizePrompt`).
-      - Offers task-specific utility functions (e.g., `formatTaskId`, `findTaskById`, `taskExists`).
-      - Implements graph algorithms like cycle detection for dependency management.
-      - **Silent Mode Control**: Provides `enableSilentMode` and `disableSilentMode` functions to control log output.
-    - **Key Components**:
-      - `CONFIG`: Global configuration object.
-      - `log(level, ...args)`: Logging function.
-      - `readJSON(filepath)` / `writeJSON(filepath, data)`: File I/O utilities for JSON files.
-      - `truncate(text, maxLength)`: String truncation utility.
-      - `formatTaskId(id)` / `findTaskById(tasks, taskId)`: Task ID and search utilities.
-      - `findCycles(subtaskId, dependencyMap)`: Cycle detection algorithm.
-      - `enableSilentMode()` / `disableSilentMode()`: Control console logging output.
+      - Reads and merges `.taskmasterconfig` with defaults.
+      - Provides getters (e.g., `getMainProvider`, `getLogLevel`, `getDefaultSubtasks`) for accessing settings.
+      - **Tag Configuration**: Manages `global.defaultTag` and `tags` section for tag system settings.
+      - **Note**: Does **not** store or directly handle API keys (keys are in `.env` or MCP `session.env`).
+
+  - **[`utils.js`](mdc:scripts/modules/utils.js): Core Utility Functions**
+    - **Purpose**: Low-level, reusable CLI utilities.
+    - **Responsibilities** (See also: [`utilities.mdc`](mdc:.cursor/rules/utilities.mdc)):
+      - Logging (`log` function), File I/O (`readJSON`, `writeJSON`), String utils (`truncate`).
+      - Task utils (`findTaskById`), Dependency utils (`findCycles`).
+      - API Key Resolution (`resolveEnvVariable`).
+      - Silent Mode Control (`enableSilentMode`, `disableSilentMode`).
+      - **Tagged Task Lists**: Silent migration system, tag resolution, current tag management.
+      - **Migration System**: `performCompleteTagMigration`, `migrateConfigJson`, `createStateJson`.
 
   - **[`mcp-server/`](mdc:mcp-server/): MCP Server Integration**
-    - **Purpose**: Provides an MCP (Model Context Protocol) interface for Task Master, allowing integration with external tools like Cursor. Uses FastMCP framework.
+    - **Purpose**: Provides MCP interface using FastMCP.
     - **Responsibilities** (See also: [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc)):
-      - Registers Task Master functionalities as tools consumable via MCP.
-      - Handles MCP requests via tool `execute` methods defined in `mcp-server/src/tools/*.js`.
-      - Tool `execute` methods call corresponding **direct function wrappers**.
-      - Tool `execute` methods use `getProjectRootFromSession` (from [`tools/utils.js`](mdc:mcp-server/src/tools/utils.js)) to determine the project root from the client session and pass it to the direct function.
-      - **Direct function wrappers (`*Direct` functions in `mcp-server/src/core/direct-functions/*.js`) contain the main logic for handling MCP requests**, including path resolution, argument validation, caching, and calling core Task Master functions.
-      - Direct functions use `findTasksJsonPath` (from [`core/utils/path-utils.js`](mdc:mcp-server/src/core/utils/path-utils.js)) to locate `tasks.json` based on the provided `projectRoot`.
-      - **Silent Mode Implementation**: Direct functions use `enableSilentMode` and `disableSilentMode` to prevent logs from interfering with JSON responses.
-      - **Async Operations**: Uses `AsyncOperationManager` to handle long-running operations in the background.
-      - **Project Initialization**: Provides `initialize_project` command for setting up new projects from within integrated clients.
-      - Tool `execute` methods use `handleApiResult` from [`tools/utils.js`](mdc:mcp-server/src/tools/utils.js) to process the result from the direct function and format the final MCP response.
-      - Uses CLI execution via `executeTaskMasterCommand` as a fallback only when necessary.
-      - **Implements Robust Path Finding**: The utility [`tools/utils.js`](mdc:mcp-server/src/tools/utils.js) (specifically `getProjectRootFromSession`) and [`core/utils/path-utils.js`](mdc:mcp-server/src/core/utils/path-utils.js) (specifically `findTasksJsonPath`) work together. The tool gets the root via session, passes it to the direct function, which uses `findTasksJsonPath` to locate the specific `tasks.json` file within that root.
-      - **Implements Caching**: Utilizes a caching layer (`ContextManager` with `lru-cache`). Caching logic is invoked *within* the direct function wrappers using the `getCachedOrExecute` utility for performance-sensitive read operations.
-      - Standardizes response formatting and data filtering using utilities in [`tools/utils.js`](mdc:mcp-server/src/tools/utils.js).
-      - **Resource Management**: Provides access to static and dynamic resources.
-    - **Key Components**:
-      - `mcp-server/src/index.js`: Main server class definition with FastMCP initialization, resource registration, and server lifecycle management.
-      - `mcp-server/src/server.js`: Main server setup and initialization.
-      - `mcp-server/src/tools/`: Directory containing individual tool definitions. Each tool's `execute` method orchestrates the call to core logic and handles the response.
-      - `mcp-server/src/tools/utils.js`: Provides MCP-specific utilities like `handleApiResult`, `processMCPResponseData`, `getCachedOrExecute`, and **`getProjectRootFromSession`**.
-      - `mcp-server/src/core/utils/`: Directory containing utility functions specific to the MCP server, like **`path-utils.js` for resolving `tasks.json` within a given root** and **`async-manager.js` for handling background operations**.
-      - `mcp-server/src/core/direct-functions/`: Directory containing individual files for each **direct function wrapper (`*Direct`)**. These files contain the primary logic for MCP tool execution.
-      - `mcp-server/src/core/resources/`: Directory containing resource handlers for task templates, workflow definitions, and other static/dynamic data exposed to LLM clients.
-      - [`task-master-core.js`](mdc:mcp-server/src/core/task-master-core.js): Acts as an import/export hub, collecting and exporting direct functions from the `direct-functions` directory and MCP utility functions.
-    - **Naming Conventions**:
-      - **Files** use **kebab-case**: `list-tasks.js`, `set-task-status.js`, `parse-prd.js`
-      - **Direct Functions** use **camelCase** with `Direct` suffix: `listTasksDirect`, `setTaskStatusDirect`, `parsePRDDirect`
-      - **Tool Registration Functions** use **camelCase** with `Tool` suffix: `registerListTasksTool`, `registerSetTaskStatusTool`
-      - **MCP Tool Names** use **snake_case**: `list_tasks`, `set_task_status`, `parse_prd_document`
-      - **Resource Handlers** use **camelCase** with pattern URI: `@mcp.resource("tasks://templates/{template_id}")`
-    - **AsyncOperationManager**:
-      - **Purpose**: Manages background execution of long-running operations.
-      - **Location**: `mcp-server/src/core/utils/async-manager.js`
-      - **Key Features**:
-        - Operation tracking with unique IDs using UUID
-        - Status management (pending, running, completed, failed)
-        - Progress reporting forwarded from background tasks
-        - Operation history with automatic cleanup of completed operations
-        - Context preservation (log, session, reportProgress)
-        - Robust error handling for background tasks
-      - **Usage**: Used for CPU-intensive operations like task expansion and PRD parsing
+      - Registers tools (`mcp-server/src/tools/*.js`). Tool `execute` methods **should be wrapped** with the `withNormalizedProjectRoot` HOF (from `tools/utils.js`) to ensure consistent path handling.
+      - The HOF provides a normalized `args.projectRoot` to the `execute` method.
+      - Tool `execute` methods call **direct function wrappers** (`mcp-server/src/core/direct-functions/*.js`), passing the normalized `projectRoot` and other args.
+      - Direct functions use path utilities (`mcp-server/src/core/utils/`) to resolve paths based on `projectRoot` from session.
+      - Direct functions implement silent mode, logger wrappers, and call core logic functions from `scripts/modules/`.
+      - **Tagged Task Lists**: MCP tools fully support the tagged format with complete tag management capabilities.
+      - Manages MCP caching and response formatting.
 
   - **[`init.js`](mdc:scripts/init.js): Project Initialization Logic**
-    - **Purpose**: Contains the core logic for setting up a new Task Master project structure.
-    - **Responsibilities**:
-      - Creates necessary directories (`.cursor/rules`, `scripts`, `tasks`).
-      - Copies template files (`.env.example`, `.gitignore`, rule files, `dev.js`, etc.).
-      - Creates or merges `package.json` with required dependencies and scripts.
-      - Sets up MCP configuration (`.cursor/mcp.json`).
-      - Optionally initializes a git repository and installs dependencies.
-      - Handles user prompts for project details *if* called without skip flags (`-y`).
-    - **Key Function**:
-      - `initializeProject(options)`: The main function exported and called by the `init` command's action handler in [`commands.js`](mdc:scripts/modules/commands.js). It receives parsed options directly.
-    - **Note**: This script is used as a module and no longer handles its own argument parsing or direct execution via a separate `bin` file.
+    - **Purpose**: Sets up new Task Master project structure.
+    - **Responsibilities**: Creates directories, copies templates, manages `package.json`, sets up `.cursor/mcp.json`, initializes state.json for tagged system.
 
-- **Data Flow and Module Dependencies**:
+## Tagged Task Lists System Architecture
 
-  - **Commands Initiate Actions**: User commands entered via the CLI (parsed by `commander` based on definitions in [`commands.js`](mdc:scripts/modules/commands.js)) are the entry points for most operations.
-  - **Command Handlers Delegate to Core Logic**: Action handlers within [`commands.js`](mdc:scripts/modules/commands.js) call functions in core modules like [`task-manager.js`](mdc:scripts/modules/task-manager.js), [`dependency-manager.js`](mdc:scripts/modules/dependency-manager.js), and [`init.js`](mdc:scripts/init.js) (for the `init` command) to perform the actual work.
-  - **UI for Presentation**:  [`ui.js`](mdc:scripts/modules/ui.js) is used by command handlers and task/dependency managers to display information to the user. UI functions primarily consume data and format it for output, without modifying core application state.
-  - **Utilities for Common Tasks**: [`utils.js`](mdc:scripts/modules/utils.js) provides helper functions used by all other modules for configuration, logging, file operations, and common data manipulations.
-  - **AI Services Integration**: AI functionalities (complexity analysis, task expansion, PRD parsing) are invoked from [`task-manager.js`](mdc:scripts/modules/task-manager.js) and potentially [`commands.js`](mdc:scripts/modules/commands.js), likely using functions that would reside in a dedicated `ai-services.js` module or be integrated within `utils.js` or `task-manager.js`.
-  - **MCP Server Interaction**: External tools interact with the `mcp-server`. MCP Tool `execute` methods use `getProjectRootFromSession` to find the project root, then call direct function wrappers (in `mcp-server/src/core/direct-functions/`) passing the root in `args`. These wrappers handle path finding for `tasks.json` (using `path-utils.js`), validation, caching, call the core logic from `scripts/modules/` (passing logging context via the standard wrapper pattern detailed in mcp.mdc), and return a standardized result. The final MCP response is formatted by `mcp-server/src/tools/utils.js`. See [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc) for details.
+**Data Structure**: Task Master now uses a tagged task lists system where the `tasks.json` file contains multiple named task lists as top-level keys:
+
+```json
+{
+  "master": {
+    "tasks": [/* standard task objects */]
+  },
+  "feature-branch": {
+    "tasks": [/* separate task context */]
+  }
+}
+```
+
+**Key Components:**
+
+- **Silent Migration**: Automatically transforms legacy `{"tasks": [...]}` format to tagged format `{"master": {"tasks": [...]}}` on first read
+- **Tag Resolution Layer**: Provides 100% backward compatibility by intercepting tagged format and returning legacy format to existing code
+- **Configuration Integration**: `global.defaultTag` and `tags` section in config.json manage tag system settings
+- **State Management**: `.taskmaster/state.json` tracks current tag, migration status, and tag-branch mappings
+- **Migration Notice**: User-friendly notification system for seamless migration experience
+
+**Backward Compatibility**: All existing CLI commands and MCP tools continue to work unchanged. The tag resolution layer ensures that existing code receives the expected legacy format while the underlying storage uses the new tagged structure.
+
+- **Data Flow and Module Dependencies (Updated)**:
+
+  - **CLI**: `bin/task-master.js` -> `scripts/dev.js` (loads `.env`) -> `scripts/modules/commands.js` -> Core Logic (`scripts/modules/*`) -> **Tag Resolution Layer** -> Unified AI Service (`ai-services-unified.js`) -> Provider Adapters -> LLM API.
+  - **MCP**: External Tool -> `mcp-server/server.js` -> Tool (`mcp-server/src/tools/*`) -> Direct Function (`mcp-server/src/core/direct-functions/*`) -> Core Logic (`scripts/modules/*`) -> **Tag Resolution Layer** -> Unified AI Service (`ai-services-unified.js`) -> Provider Adapters -> LLM API.
+  - **Configuration**: Core logic needing non-AI settings calls `config-manager.js` getters (passing `session.env` via `explicitRoot` if from MCP). Unified AI Service internally calls `config-manager.js` getters (using `role`) for AI params and `utils.js` (`resolveEnvVariable` with `session.env`) for API keys.
 
 ## Silent Mode Implementation Pattern in MCP Direct Functions
 
@@ -284,6 +228,7 @@ By following these patterns consistently, direct functions will properly manage
     - **Integration Tests**: Located in `tests/integration/`, test interactions between modules
     - **End-to-End Tests**: Located in `tests/e2e/`, test complete workflows from a user perspective
     - **Test Fixtures**: Located in `tests/fixtures/`, provide reusable test data
+    - **Tagged System Tests**: Test migration, tag resolution, and multi-context functionality
 
   - **Module Design for Testability**:
     - **Explicit Dependencies**: Functions accept their dependencies as parameters rather than using globals
@@ -292,12 +237,14 @@ By following these patterns consistently, direct functions will properly manage
     - **Clear Module Interfaces**: Each module has well-defined exports that can be mocked in tests
     - **Callback Isolation**: Callbacks are defined as separate functions for easier testing
     - **Stateless Design**: Modules avoid maintaining internal state where possible
+    - **Tag Resolution Testing**: Test both tagged and legacy format handling
 
   - **Mock Integration Patterns**:
     - **External Libraries**: Libraries like `fs`, `commander`, and `@anthropic-ai/sdk` are mocked at module level
     - **Internal Modules**: Application modules are mocked with appropriate spy functions
     - **Testing Function Callbacks**: Callbacks are extracted from mock call arguments and tested in isolation
     - **UI Elements**: Output functions from `ui.js` are mocked to verify display calls
+    - **Tagged Data Mocking**: Test both legacy and tagged task data structures
 
   - **Testing Flow**:
     - Module dependencies are mocked (following Jest's hoisting behavior)
@@ -305,6 +252,7 @@ By following these patterns consistently, direct functions will properly manage
     - Spy functions are set up on module methods
     - Tests call the functions under test and verify behavior
     - Mocks are reset between test cases to maintain isolation
+    - Tagged system behavior is tested for both migration and normal operation
 
 - **Benefits of this Architecture**:
 
@@ -313,8 +261,11 @@ By following these patterns consistently, direct functions will properly manage
     - **Mocking Support**: The clear dependency boundaries make mocking straightforward
     - **Test Isolation**: Each component can be tested without affecting others
     - **Callback Testing**: Function callbacks can be extracted and tested independently
+    - **Multi-Context Testing**: Tagged system enables testing different task contexts independently
   - **Reusability**: Utility functions and UI components can be reused across different parts of the application.
   - **Scalability**:  New features can be added as new modules or by extending existing ones without significantly impacting other parts of the application.
+  - **Multi-Context Support**: Tagged task lists enable working across different contexts (branches, environments, phases) without conflicts.
+  - **Backward Compatibility**: Seamless migration and tag resolution ensure existing workflows continue unchanged.
   - **Clarity**: The modular structure provides a clear separation of concerns, making the codebase easier to navigate and understand for developers.
 
 This architectural overview should help AI models understand the structure and organization of the Task Master CLI codebase, enabling them to more effectively assist with code generation, modification, and understanding.
@@ -336,6 +287,7 @@ Follow these steps to add MCP support for an existing Task Master command (see [
         - Call core logic.
         - Return `{ success: true/false, data/error, fromCache: boolean }`.
     - Export the wrapper function.
+    - **Note**: Tag-aware MCP tools are fully implemented with complete tag management support.
 
 3.  **Update `task-master-core.js` with Import/Export**: Add imports/exports for the new `*Direct` function.
 
@@ -362,23 +314,8 @@ The `initialize_project` command provides a way to set up a new Task Master proj
 - **MCP Tool**: `initialize_project`
 - **Functionality**:
   - Creates necessary directories and files for a new project
-  - Sets up `tasks.json` and initial task files
+  - Sets up `tasks.json` with tagged structure and initial task files
   - Configures project metadata (name, description, version)
+  - Initializes state.json for tag system
   - Handles shell alias creation if requested
-  - Works in both interactive and non-interactive modes
-
-## Async Operation Management
-
-The AsyncOperationManager provides background task execution capabilities:
-
-- **Location**: `mcp-server/src/core/utils/async-manager.js`
-- **Key Components**:
-  - `asyncOperationManager` singleton instance
-  - `addOperation(operationFn, args, context)` method
-  - `getStatus(operationId)` method
-- **Usage Flow**:
-  1. Client calls an MCP tool that may take time to complete
-  2. Tool uses AsyncOperationManager to run the operation in background
-  3. Tool returns immediate response with operation ID
-  4. Client polls `get_operation_status` tool with the ID
-  5. Once completed, client can access operation results
+  - Works in both interactive and non-interactive modes

.cursor/rules/commands.mdc

@@ -34,8 +34,8 @@ While this document details the implementation of Task Master's **CLI commands**
 - **Command Handler Organization**:
   - ✅ DO: Keep action handlers concise and focused
   - ✅ DO: Extract core functionality to appropriate modules
-  - ✅ DO: Have the action handler import and call the relevant function(s) from core modules (e.g., `task-manager.js`, `init.js`), passing the parsed `options`.
-  - ✅ DO: Perform basic parameter validation (e.g., checking for required options) within the action handler or at the start of the called core function.
+  - ✅ DO: Have the action handler import and call the relevant functions from core modules, like `task-manager.js` or `init.js`, passing the parsed `options`.
+  - ✅ DO: Perform basic parameter validation, such as checking for required options, within the action handler or at the start of the called core function.
   - ❌ DON'T: Implement business logic in command handlers
 
 ## Best Practices for Removal/Delete Commands
@@ -44,7 +44,7 @@ When implementing commands that delete or remove data (like `remove-task` or `re
 
 - **Confirmation Prompts**:
   - ✅ **DO**: Include a confirmation prompt by default for destructive operations
-  - ✅ **DO**: Provide a `--yes` or `-y` flag to skip confirmation for scripting/automation
+  - ✅ **DO**: Provide a `--yes` or `-y` flag to skip confirmation, useful for scripting or automation
   - ✅ **DO**: Show what will be deleted in the confirmation message
   - ❌ **DON'T**: Perform destructive operations without user confirmation unless explicitly overridden
 
@@ -78,7 +78,7 @@ When implementing commands that delete or remove data (like `remove-task` or `re
 
 - **File Path Handling**:
   - ✅ **DO**: Use `path.join()` to construct file paths
-  - ✅ **DO**: Follow established naming conventions for tasks (e.g., `task_001.txt`)
+  - ✅ **DO**: Follow established naming conventions for tasks, like `task_001.txt`
   - ✅ **DO**: Check if files exist before attempting to delete them
   - ✅ **DO**: Handle file deletion errors gracefully
   - ❌ **DON'T**: Construct paths with string concatenation
@@ -166,10 +166,10 @@ When implementing commands that delete or remove data (like `remove-task` or `re
   - ✅ DO: Use descriptive, action-oriented names
 
 - **Option Names**:
-  - ✅ DO: Use kebab-case for long-form option names (`--output-format`)
-  - ✅ DO: Provide single-letter shortcuts when appropriate (`-f, --file`)
+  - ✅ DO: Use kebab-case for long-form option names, like `--output-format`
+  - ✅ DO: Provide single-letter shortcuts when appropriate, like `-f, --file`
   - ✅ DO: Use consistent option names across similar commands
-  - ❌ DON'T: Use different names for the same concept (`--file` in one command, `--path` in another)
+  - ❌ DON'T: Use different names for the same concept, such as `--file` in one command and `--path` in another
 
   ```javascript
   // ✅ DO: Use consistent option naming
@@ -181,7 +181,7 @@ When implementing commands that delete or remove data (like `remove-task` or `re
   .option('-p, --path <dir>', 'Output directory') // Should be --output
   ```
 
-  > **Note**: Although options are defined with kebab-case (`--num-tasks`), Commander.js stores them internally as camelCase properties. Access them in code as `options.numTasks`, not `options['num-tasks']`.
+  > **Note**: Although options are defined with kebab-case, like `--num-tasks`, Commander.js stores them internally as camelCase properties. Access them in code as `options.numTasks`, not `options['num-tasks']`.
 
 - **Boolean Flag Conventions**:
   - ✅ DO: Use positive flags with `--skip-` prefix for disabling behavior
@@ -210,7 +210,7 @@ When implementing commands that delete or remove data (like `remove-task` or `re
 - **Required Parameters**:
   - ✅ DO: Check that required parameters are provided
   - ✅ DO: Provide clear error messages when parameters are missing
-  - ✅ DO: Use early returns with process.exit(1) for validation failures
+  - ✅ DO: Use early returns with `process.exit(1)` for validation failures
 
   ```javascript
   // ✅ DO: Validate required parameters early
@@ -221,7 +221,7 @@ When implementing commands that delete or remove data (like `remove-task` or `re
   ```
 
 - **Parameter Type Conversion**:
-  - ✅ DO: Convert string inputs to appropriate types (numbers, booleans)
+  - ✅ DO: Convert string inputs to appropriate types, such as numbers or booleans
   - ✅ DO: Handle conversion errors gracefully
 
   ```javascript
@@ -254,7 +254,7 @@ When implementing commands that delete or remove data (like `remove-task` or `re
   const taskId = parseInt(options.id, 10);
   if (isNaN(taskId) || taskId <= 0) {
     console.error(chalk.red(`Error: Invalid task ID: ${options.id}. Task ID must be a positive integer.`));
-    console.log(chalk.yellow('Usage example: task-master update-task --id=\'23\' --prompt=\'Update with new information.\nEnsure proper error handling.\''));
+    console.log(chalk.yellow("Usage example: task-master update-task --id='23' --prompt='Update with new information.\\nEnsure proper error handling.'"));
     process.exit(1);
   }
   
@@ -329,6 +329,60 @@ When implementing commands that delete or remove data (like `remove-task` or `re
   };
   ```
 
+## Context-Aware Command Pattern
+
+For AI-powered commands that benefit from project context, follow the research command pattern:
+
+- **Context Integration**:
+  - ✅ DO: Use `ContextGatherer` utility for multi-source context extraction
+  - ✅ DO: Support task IDs, file paths, custom context, and project tree
+  - ✅ DO: Implement fuzzy search for automatic task discovery
+  - ✅ DO: Display detailed token breakdown for transparency
+
+  ```javascript
+  // ✅ DO: Follow this pattern for context-aware commands
+  programInstance
+    .command('research')
+    .description('Perform AI-powered research queries with project context')
+    .argument('<prompt>', 'Research prompt to investigate')
+    .option('-i, --id <ids>', 'Comma-separated task/subtask IDs to include as context')
+    .option('-f, --files <paths>', 'Comma-separated file paths to include as context')
+    .option('-c, --context <text>', 'Additional custom context')
+    .option('--tree', 'Include project file tree structure')
+    .option('-d, --detail <level>', 'Output detail level: low, medium, high', 'medium')
+    .action(async (prompt, options) => {
+      // 1. Parameter validation and parsing
+      const taskIds = options.id ? parseTaskIds(options.id) : [];
+      const filePaths = options.files ? parseFilePaths(options.files) : [];
+      
+      // 2. Initialize context gatherer
+      const projectRoot = findProjectRoot() || '.';
+      const gatherer = new ContextGatherer(projectRoot, tasksPath);
+      
+      // 3. Auto-discover relevant tasks if none specified
+      if (taskIds.length === 0) {
+        const fuzzySearch = new FuzzyTaskSearch(tasksData.tasks, 'research');
+        const discoveredIds = fuzzySearch.getTaskIds(
+          fuzzySearch.findRelevantTasks(prompt)
+        );
+        taskIds.push(...discoveredIds);
+      }
+      
+      // 4. Gather context with token breakdown
+      const contextResult = await gatherer.gather({
+        tasks: taskIds,
+        files: filePaths,
+        customContext: options.context,
+        includeProjectTree: options.projectTree,
+        format: 'research',
+        includeTokenCounts: true
+      });
+      
+      // 5. Display token breakdown and execute AI call
+      // Implementation continues...
+    });
+  ```
+
 ## Error Handling
 
 - **Exception Management**:
@@ -392,9 +446,9 @@ When implementing commands that delete or remove data (like `remove-task` or `re
   process.on('uncaughtException', (err) => {
     // Handle Commander-specific errors
     if (err.code === 'commander.unknownOption') {
-      const option = err.message.match(/'([^']+)'/)?.[1];
+      const option = err.message.match(/'([^']+)'/)?.[1]; // Safely extract option name
       console.error(chalk.red(`Error: Unknown option '${option}'`));
-      console.error(chalk.yellow(`Run 'task-master <command> --help' to see available options`));
+      console.error(chalk.yellow("Run 'task-master <command> --help' to see available options"));
       process.exit(1);
     }
     
@@ -464,9 +518,9 @@ When implementing commands that delete or remove data (like `remove-task` or `re
     .option('-f, --file <path>', 'Path to the tasks file', 'tasks/tasks.json')
     .option('-p, --parent <id>', 'ID of the parent task (required)')
     .option('-i, --task-id <id>', 'Existing task ID to convert to subtask')
-    .option('-t, --title <title>', 'Title for the new subtask (when not converting)')
-    .option('-d, --description <description>', 'Description for the new subtask (when not converting)')
-    .option('--details <details>', 'Implementation details for the new subtask (when not converting)')
+    .option('-t, --title <title>', 'Title for the new subtask, required if not converting')
+    .option('-d, --description <description>', 'Description for the new subtask, optional')
+    .option('--details <details>', 'Implementation details for the new subtask, optional')
     .option('--dependencies <ids>', 'Comma-separated list of subtask IDs this subtask depends on')
     .option('--status <status>', 'Initial status for the subtask', 'pending')
     .option('--skip-generate', 'Skip regenerating task files')
@@ -489,8 +543,8 @@ When implementing commands that delete or remove data (like `remove-task` or `re
     .command('remove-subtask')
     .description('Remove a subtask from its parent task, optionally converting it to a standalone task')
     .option('-f, --file <path>', 'Path to the tasks file', 'tasks/tasks.json')
-    .option('-i, --id <id>', 'ID of the subtask to remove in format "parentId.subtaskId" (required)')
-    .option('-c, --convert', 'Convert the subtask to a standalone task')
+    .option('-i, --id <id>', 'ID of the subtask to remove in format parentId.subtaskId, required')
+    .option('-c, --convert', 'Convert the subtask to a standalone task instead of deleting')
     .option('--skip-generate', 'Skip regenerating task files')
     .action(async (options) => {
       // Implementation with detailed error handling
@@ -513,7 +567,8 @@ When implementing commands that delete or remove data (like `remove-task` or `re
   // ✅ DO: Implement version checking function
   async function checkForUpdate() {
     // Implementation details...
-    return { currentVersion, latestVersion, needsUpdate };
+    // Example return structure:
+    return { currentVersion, latestVersion, updateAvailable };
   }
   
   // ✅ DO: Implement semantic version comparison
@@ -553,7 +608,7 @@ When implementing commands that delete or remove data (like `remove-task` or `re
       
       // After command execution, check if an update is available
       const updateInfo = await updateCheckPromise;
-      if (updateInfo.needsUpdate) {
+      if (updateInfo.updateAvailable) {
         displayUpgradeNotification(updateInfo.currentVersion, updateInfo.latestVersion);
       }
     } catch (error) {

.cursor/rules/context_gathering.mdc

@@ -0,0 +1,268 @@
+---
+description: Standardized patterns for gathering and processing context from multiple sources in Task Master commands, particularly for AI-powered features.
+globs: 
+alwaysApply: false
+---
+# Context Gathering Patterns and Utilities
+
+This document outlines the standardized patterns for gathering and processing context from multiple sources in Task Master commands, particularly for AI-powered features.
+
+## Core Context Gathering Utility
+
+The `ContextGatherer` class (`scripts/modules/utils/contextGatherer.js`) provides a centralized, reusable utility for extracting context from multiple sources:
+
+### **Key Features**
+- **Multi-source Context**: Tasks, files, custom text, project file tree
+- **Token Counting**: Detailed breakdown using `gpt-tokens` library
+- **Format Support**: Different output formats (research, chat, system-prompt)
+- **Error Handling**: Graceful handling of missing files, invalid task IDs
+- **Performance**: File size limits, depth limits for tree generation
+
+### **Usage Pattern**
+```javascript
+import { ContextGatherer } from '../utils/contextGatherer.js';
+
+// Initialize with project paths
+const gatherer = new ContextGatherer(projectRoot, tasksPath);
+
+// Gather context with detailed token breakdown
+const result = await gatherer.gather({
+    tasks: ['15', '16.2'],           // Task and subtask IDs
+    files: ['src/api.js', 'README.md'], // File paths
+    customContext: 'Additional context text',
+    includeProjectTree: true,        // Include file tree
+    format: 'research',              // Output format
+    includeTokenCounts: true         // Get detailed token breakdown
+});
+
+// Access results
+const contextString = result.context;
+const tokenBreakdown = result.tokenBreakdown;
+```
+
+### **Token Breakdown Structure**
+```javascript
+{
+    customContext: { tokens: 150, characters: 800 },
+    tasks: [
+        { id: '15', type: 'task', title: 'Task Title', tokens: 245, characters: 1200 },
+        { id: '16.2', type: 'subtask', title: 'Subtask Title', tokens: 180, characters: 900 }
+    ],
+    files: [
+        { path: 'src/api.js', tokens: 890, characters: 4500, size: '4.5 KB' }
+    ],
+    projectTree: { tokens: 320, characters: 1600 },
+    total: { tokens: 1785, characters: 8000 }
+}
+```
+
+## Fuzzy Search Integration
+
+The `FuzzyTaskSearch` class (`scripts/modules/utils/fuzzyTaskSearch.js`) provides intelligent task discovery:
+
+### **Key Features**
+- **Semantic Matching**: Uses Fuse.js for similarity scoring
+- **Purpose Categories**: Pattern-based task categorization
+- **Relevance Scoring**: High/medium/low relevance thresholds
+- **Context-Aware**: Different search configurations for different use cases
+
+### **Usage Pattern**
+```javascript
+import { FuzzyTaskSearch } from '../utils/fuzzyTaskSearch.js';
+
+// Initialize with tasks data and context
+const fuzzySearch = new FuzzyTaskSearch(tasksData.tasks, 'research');
+
+// Find relevant tasks
+const searchResults = fuzzySearch.findRelevantTasks(query, {
+    maxResults: 8,
+    includeRecent: true,
+    includeCategoryMatches: true
+});
+
+// Get task IDs for context gathering
+const taskIds = fuzzySearch.getTaskIds(searchResults);
+```
+
+## Implementation Patterns for Commands
+
+### **1. Context-Aware Command Structure**
+```javascript
+// In command action handler
+async function commandAction(prompt, options) {
+    // 1. Parameter validation and parsing
+    const taskIds = options.id ? parseTaskIds(options.id) : [];
+    const filePaths = options.files ? parseFilePaths(options.files) : [];
+    
+    // 2. Initialize context gatherer
+    const projectRoot = findProjectRoot() || '.';
+    const tasksPath = path.join(projectRoot, 'tasks', 'tasks.json');
+    const gatherer = new ContextGatherer(projectRoot, tasksPath);
+    
+    // 3. Auto-discover relevant tasks if none specified
+    if (taskIds.length === 0) {
+        const fuzzySearch = new FuzzyTaskSearch(tasksData.tasks, 'research');
+        const discoveredIds = fuzzySearch.getTaskIds(
+            fuzzySearch.findRelevantTasks(prompt)
+        );
+        taskIds.push(...discoveredIds);
+    }
+    
+    // 4. Gather context with token breakdown
+    const contextResult = await gatherer.gather({
+        tasks: taskIds,
+        files: filePaths,
+        customContext: options.context,
+        includeProjectTree: options.projectTree,
+        format: 'research',
+        includeTokenCounts: true
+    });
+    
+    // 5. Display token breakdown (for CLI)
+    if (outputFormat === 'text') {
+        displayDetailedTokenBreakdown(contextResult.tokenBreakdown);
+    }
+    
+    // 6. Use context in AI call
+    const aiResult = await generateTextService(role, session, systemPrompt, userPrompt);
+    
+    // 7. Display results with enhanced formatting
+    displayResults(aiResult, contextResult.tokenBreakdown);
+}
+```
+
+### **2. Token Display Pattern**
+```javascript
+function displayDetailedTokenBreakdown(tokenBreakdown, systemTokens, userTokens) {
+    const sections = [];
+    
+    // Build context breakdown
+    if (tokenBreakdown.tasks?.length > 0) {
+        const taskDetails = tokenBreakdown.tasks.map(task => 
+            `${task.type === 'subtask' ? '  ' : ''}${task.id}: ${task.tokens.toLocaleString()}`
+        ).join('\n');
+        sections.push(`Tasks (${tokenBreakdown.tasks.reduce((sum, t) => sum + t.tokens, 0).toLocaleString()}):\n${taskDetails}`);
+    }
+    
+    if (tokenBreakdown.files?.length > 0) {
+        const fileDetails = tokenBreakdown.files.map(file =>
+            `  ${file.path}: ${file.tokens.toLocaleString()} (${file.size})`
+        ).join('\n');
+        sections.push(`Files (${tokenBreakdown.files.reduce((sum, f) => sum + f.tokens, 0).toLocaleString()}):\n${fileDetails}`);
+    }
+    
+    // Add prompts breakdown
+    sections.push(`Prompts: system ${systemTokens.toLocaleString()}, user ${userTokens.toLocaleString()}`);
+    
+    // Display in clean box
+    const content = sections.join('\n\n');
+    console.log(boxen(content, {
+        title: chalk.cyan('Token Usage'),
+        padding: { top: 1, bottom: 1, left: 2, right: 2 },
+        borderStyle: 'round',
+        borderColor: 'cyan'
+    }));
+}
+```
+
+### **3. Enhanced Result Display Pattern**
+```javascript
+function displayResults(result, query, detailLevel, tokenBreakdown) {
+    // Header with query info
+    const header = boxen(
+        chalk.green.bold('Research Results') + '\n\n' +
+        chalk.gray('Query: ') + chalk.white(query) + '\n' +
+        chalk.gray('Detail Level: ') + chalk.cyan(detailLevel),
+        {
+            padding: { top: 1, bottom: 1, left: 2, right: 2 },
+            margin: { top: 1, bottom: 0 },
+            borderStyle: 'round',
+            borderColor: 'green'
+        }
+    );
+    console.log(header);
+    
+    // Process and highlight code blocks
+    const processedResult = processCodeBlocks(result);
+    
+    // Main content in clean box
+    const contentBox = boxen(processedResult, {
+        padding: { top: 1, bottom: 1, left: 2, right: 2 },
+        margin: { top: 0, bottom: 1 },
+        borderStyle: 'single',
+        borderColor: 'gray'
+    });
+    console.log(contentBox);
+    
+    console.log(chalk.green('✓ Research complete'));
+}
+```
+
+## Code Block Enhancement
+
+### **Syntax Highlighting Pattern**
+```javascript
+import { highlight } from 'cli-highlight';
+
+function processCodeBlocks(text) {
+    return text.replace(/```(\w+)?\n([\s\S]*?)```/g, (match, language, code) => {
+        try {
+            const highlighted = highlight(code.trim(), { 
+                language: language || 'javascript',
+                theme: 'default'
+            });
+            return `\n${highlighted}\n`;
+        } catch (error) {
+            return `\n${code.trim()}\n`;
+        }
+    });
+}
+```
+
+## Integration Guidelines
+
+### **When to Use Context Gathering**
+- ✅ **DO**: Use for AI-powered commands that benefit from project context
+- ✅ **DO**: Use when users might want to reference specific tasks or files
+- ✅ **DO**: Use for research, analysis, or generation commands
+- ❌ **DON'T**: Use for simple CRUD operations that don't need AI context
+
+### **Performance Considerations**
+- ✅ **DO**: Set reasonable file size limits (50KB default)
+- ✅ **DO**: Limit project tree depth (3-5 levels)
+- ✅ **DO**: Provide token counts to help users understand context size
+- ✅ **DO**: Allow users to control what context is included
+
+### **Error Handling**
+- ✅ **DO**: Gracefully handle missing files with warnings
+- ✅ **DO**: Validate task IDs and provide helpful error messages
+- ✅ **DO**: Continue processing even if some context sources fail
+- ✅ **DO**: Provide fallback behavior when context gathering fails
+
+### **Future Command Integration**
+Commands that should consider adopting this pattern:
+- `analyze-complexity` - Could benefit from file context
+- `expand-task` - Could use related task context
+- `update-task` - Could reference similar tasks for consistency
+- `add-task` - Could use project context for better task generation
+
+## Export Patterns
+
+### **Context Gatherer Module**
+```javascript
+export {
+    ContextGatherer,
+    createContextGatherer  // Factory function
+};
+```
+
+### **Fuzzy Search Module**
+```javascript
+export {
+    FuzzyTaskSearch,
+    PURPOSE_CATEGORIES,
+    RELEVANCE_THRESHOLDS
+};
+```
+
+This context gathering system provides a foundation for building more intelligent, context-aware commands that can leverage project knowledge to provide better AI-powered assistance.

.cursor/rules/dev_workflow.mdc

@@ -1,24 +1,204 @@
 ---
-description: Guide for using Task Master to manage task-driven development workflows
+description: Guide for using Taskmaster to manage task-driven development workflows
 globs: **/*
 alwaysApply: true
 ---
 
-# Task Master Development Workflow
+# Taskmaster Development Workflow
 
-This guide outlines the typical process for using Task Master to manage software development projects.
+This guide outlines the standard process for using Taskmaster to manage software development projects. It is written as a set of instructions for you, the AI agent.
+
+- **Your Default Stance**: For most projects, the user can work directly within the `master` task context. Your initial actions should operate on this default context unless a clear pattern for multi-context work emerges.
+- **Your Goal**: Your role is to elevate the user's workflow by intelligently introducing advanced features like **Tagged Task Lists** when you detect the appropriate context. Do not force tags on the user; suggest them as a helpful solution to a specific need.
+
+## The Basic Loop
+The fundamental development cycle you will facilitate is:
+1.  **`list`**: Show the user what needs to be done.
+2.  **`next`**: Help the user decide what to work on.
+3.  **`show <id>`**: Provide details for a specific task.
+4.  **`expand <id>`**: Break down a complex task into smaller, manageable subtasks.
+5.  **Implement**: The user writes the code and tests.
+6.  **`update-subtask`**: Log progress and findings on behalf of the user.
+7.  **`set-status`**: Mark tasks and subtasks as `done` as work is completed.
+8.  **Repeat**.
+
+All your standard command executions should operate on the user's current task context, which defaults to `master`.
+
+---
+
+## Standard Development Workflow Process
+
+### Simple Workflow (Default Starting Point)
+
+For new projects or when users are getting started, operate within the `master` tag context:
+
+-   Start new projects by running `initialize_project` tool / `task-master init` or `parse_prd` / `task-master parse-prd --input='<prd-file.txt>'` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to generate initial tasks.json with tagged structure
+-   Begin coding sessions with `get_tasks` / `task-master list` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to see current tasks, status, and IDs
+-   Determine the next task to work on using `next_task` / `task-master next` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc))
+-   Analyze task complexity with `analyze_project_complexity` / `task-master analyze-complexity --research` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) before breaking down tasks
+-   Review complexity report using `complexity_report` / `task-master complexity-report` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc))
+-   Select tasks based on dependencies (all marked 'done'), priority level, and ID order
+-   View specific task details using `get_task` / `task-master show <id>` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to understand implementation requirements
+-   Break down complex tasks using `expand_task` / `task-master expand --id=<id> --force --research` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) with appropriate flags like `--force` (to replace existing subtasks) and `--research`
+-   Implement code following task details, dependencies, and project standards
+-   Mark completed tasks with `set_task_status` / `task-master set-status --id=<id> --status=done` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc))
+-   Update dependent tasks when implementation differs from original plan using `update` / `task-master update --from=<id> --prompt="..."` or `update_task` / `task-master update-task --id=<id> --prompt="..."` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc))
+
+---
+
+## Leveling Up: Agent-Led Multi-Context Workflows
+
+While the basic workflow is powerful, your primary opportunity to add value is by identifying when to introduce **Tagged Task Lists**. These patterns are your tools for creating a more organized and efficient development environment for the user, especially if you detect agentic or parallel development happening across the same session.
+
+**Critical Principle**: Most users should never see a difference in their experience. Only introduce advanced workflows when you detect clear indicators that the project has evolved beyond simple task management.
+
+### When to Introduce Tags: Your Decision Patterns
+
+Here are the patterns to look for. When you detect one, you should propose the corresponding workflow to the user.
+
+#### Pattern 1: Simple Git Feature Branching
+This is the most common and direct use case for tags.
+
+- **Trigger**: The user creates a new git branch (e.g., `git checkout -b feature/user-auth`).
+- **Your Action**: Propose creating a new tag that mirrors the branch name to isolate the feature's tasks from `master`.
+- **Your Suggested Prompt**: *"I see you've created a new branch named 'feature/user-auth'. To keep all related tasks neatly organized and separate from your main list, I can create a corresponding task tag for you. This helps prevent merge conflicts in your `tasks.json` file later. Shall I create the 'feature-user-auth' tag?"*
+- **Tool to Use**: `task-master add-tag --from-branch`
+
+#### Pattern 2: Team Collaboration
+- **Trigger**: The user mentions working with teammates (e.g., "My teammate Alice is handling the database schema," or "I need to review Bob's work on the API.").
+- **Your Action**: Suggest creating a separate tag for the user's work to prevent conflicts with shared master context.
+- **Your Suggested Prompt**: *"Since you're working with Alice, I can create a separate task context for your work to avoid conflicts. This way, Alice can continue working with the master list while you have your own isolated context. When you're ready to merge your work, we can coordinate the tasks back to master. Shall I create a tag for your current work?"*
+- **Tool to Use**: `task-master add-tag my-work --copy-from-current --description="My tasks while collaborating with Alice"`
+
+#### Pattern 3: Experiments or Risky Refactors
+- **Trigger**: The user wants to try something that might not be kept (e.g., "I want to experiment with switching our state management library," or "Let's refactor the old API module, but I want to keep the current tasks as a reference.").
+- **Your Action**: Propose creating a sandboxed tag for the experimental work.
+- **Your Suggested Prompt**: *"This sounds like a great experiment. To keep these new tasks separate from our main plan, I can create a temporary 'experiment-zustand' tag for this work. If we decide not to proceed, we can simply delete the tag without affecting the main task list. Sound good?"*
+- **Tool to Use**: `task-master add-tag experiment-zustand --description="Exploring Zustand migration"`
+
+#### Pattern 4: Large Feature Initiatives (PRD-Driven)
+This is a more structured approach for significant new features or epics.
+
+- **Trigger**: The user describes a large, multi-step feature that would benefit from a formal plan.
+- **Your Action**: Propose a comprehensive, PRD-driven workflow.
+- **Your Suggested Prompt**: *"This sounds like a significant new feature. To manage this effectively, I suggest we create a dedicated task context for it. Here's the plan: I'll create a new tag called 'feature-xyz', then we can draft a Product Requirements Document (PRD) together to scope the work. Once the PRD is ready, I'll automatically generate all the necessary tasks within that new tag. How does that sound?"*
+- **Your Implementation Flow**:
+    1.  **Create an empty tag**: `task-master add-tag feature-xyz --description "Tasks for the new XYZ feature"`. You can also start by creating a git branch if applicable, and then create the tag from that branch.
+    2.  **Collaborate & Create PRD**: Work with the user to create a detailed PRD file (e.g., `.taskmaster/docs/feature-xyz-prd.txt`).
+    3.  **Parse PRD into the new tag**: `task-master parse-prd .taskmaster/docs/feature-xyz-prd.txt --tag feature-xyz`
+    4.  **Prepare the new task list**: Follow up by suggesting `analyze-complexity` and `expand-all` for the newly created tasks within the `feature-xyz` tag.
+
+#### Pattern 5: Version-Based Development
+Tailor your approach based on the project maturity indicated by tag names.
+
+- **Prototype/MVP Tags** (`prototype`, `mvp`, `poc`, `v0.x`):
+  - **Your Approach**: Focus on speed and functionality over perfection
+  - **Task Generation**: Create tasks that emphasize "get it working" over "get it perfect"
+  - **Complexity Level**: Lower complexity, fewer subtasks, more direct implementation paths
+  - **Research Prompts**: Include context like "This is a prototype - prioritize speed and basic functionality over optimization"
+  - **Example Prompt Addition**: *"Since this is for the MVP, I'll focus on tasks that get core functionality working quickly rather than over-engineering."*
+
+- **Production/Mature Tags** (`v1.0+`, `production`, `stable`):
+  - **Your Approach**: Emphasize robustness, testing, and maintainability
+  - **Task Generation**: Include comprehensive error handling, testing, documentation, and optimization
+  - **Complexity Level**: Higher complexity, more detailed subtasks, thorough implementation paths
+  - **Research Prompts**: Include context like "This is for production - prioritize reliability, performance, and maintainability"
+  - **Example Prompt Addition**: *"Since this is for production, I'll ensure tasks include proper error handling, testing, and documentation."*
+
+### Advanced Workflow (Tag-Based & PRD-Driven)
+
+**When to Transition**: Recognize when the project has evolved (or has initiated a project which existing code) beyond simple task management. Look for these indicators:
+- User mentions teammates or collaboration needs
+- Project has grown to 15+ tasks with mixed priorities
+- User creates feature branches or mentions major initiatives
+- User initializes Taskmaster on an existing, complex codebase
+- User describes large features that would benefit from dedicated planning
+
+**Your Role in Transition**: Guide the user to a more sophisticated workflow that leverages tags for organization and PRDs for comprehensive planning.
+
+#### Master List Strategy (High-Value Focus)
+Once you transition to tag-based workflows, the `master` tag should ideally contain only:
+- **High-level deliverables** that provide significant business value
+- **Major milestones** and epic-level features
+- **Critical infrastructure** work that affects the entire project
+- **Release-blocking** items
+
+**What NOT to put in master**:
+- Detailed implementation subtasks (these go in feature-specific tags' parent tasks)
+- Refactoring work (create dedicated tags like `refactor-auth`)
+- Experimental features (use `experiment-*` tags)
+- Team member-specific tasks (use person-specific tags)
+
+#### PRD-Driven Feature Development
+
+**For New Major Features**:
+1. **Identify the Initiative**: When user describes a significant feature
+2. **Create Dedicated Tag**: `add_tag feature-[name] --description="[Feature description]"`
+3. **Collaborative PRD Creation**: Work with user to create comprehensive PRD in `.taskmaster/docs/feature-[name]-prd.txt`
+4. **Parse & Prepare**: 
+   - `parse_prd .taskmaster/docs/feature-[name]-prd.txt --tag=feature-[name]`
+   - `analyze_project_complexity --tag=feature-[name] --research`
+   - `expand_all --tag=feature-[name] --research`
+5. **Add Master Reference**: Create a high-level task in `master` that references the feature tag
+
+**For Existing Codebase Analysis**:
+When users initialize Taskmaster on existing projects:
+1. **Codebase Discovery**: Use your native tools for producing deep context about the code base. You may use `research` tool with `--tree` and `--files` to collect up to date information using the existing architecture as context.
+2. **Collaborative Assessment**: Work with user to identify improvement areas, technical debt, or new features
+3. **Strategic PRD Creation**: Co-author PRDs that include:
+   - Current state analysis (based on your codebase research)
+   - Proposed improvements or new features
+   - Implementation strategy considering existing code
+4. **Tag-Based Organization**: Parse PRDs into appropriate tags (`refactor-api`, `feature-dashboard`, `tech-debt`, etc.)
+5. **Master List Curation**: Keep only the most valuable initiatives in master
+
+The parse-prd's `--append` flag enables the user to parse multple PRDs within tags or across tags. PRDs should be focused and the number of tasks they are parsed into should be strategically chosen relative to the PRD's complexity and level of detail.
+
+### Workflow Transition Examples
+
+**Example 1: Simple → Team-Based**
+```
+User: "Alice is going to help with the API work"
+Your Response: "Great! To avoid conflicts, I'll create a separate task context for your work. Alice can continue with the master list while you work in your own context. When you're ready to merge, we can coordinate the tasks back together."
+Action: add_tag my-api-work --copy-from-current --description="My API tasks while collaborating with Alice"
+```
+
+**Example 2: Simple → PRD-Driven**
+```
+User: "I want to add a complete user dashboard with analytics, user management, and reporting"
+Your Response: "This sounds like a major feature that would benefit from detailed planning. Let me create a dedicated context for this work and we can draft a PRD together to ensure we capture all requirements."
+Actions: 
+1. add_tag feature-dashboard --description="User dashboard with analytics and management"
+2. Collaborate on PRD creation
+3. parse_prd dashboard-prd.txt --tag=feature-dashboard
+4. Add high-level "User Dashboard" task to master
+```
+
+**Example 3: Existing Project → Strategic Planning**
+```
+User: "I just initialized Taskmaster on my existing React app. It's getting messy and I want to improve it."
+Your Response: "Let me research your codebase to understand the current architecture, then we can create a strategic plan for improvements."
+Actions:
+1. research "Current React app architecture and improvement opportunities" --tree --files=src/
+2. Collaborate on improvement PRD based on findings
+3. Create tags for different improvement areas (refactor-components, improve-state-management, etc.)
+4. Keep only major improvement initiatives in master
+```
+
+---
 
 ## Primary Interaction: MCP Server vs. CLI
 
-Task Master offers two primary ways to interact:
+Taskmaster offers two primary ways to interact:
 
 1.  **MCP Server (Recommended for Integrated Tools)**:
     - For AI agents and integrated development environments (like Cursor), interacting via the **MCP server is the preferred method**.
-    - The MCP server exposes Task Master functionality through a set of tools (e.g., `get_tasks`, `add_subtask`).
+    - The MCP server exposes Taskmaster functionality through a set of tools (e.g., `get_tasks`, `add_subtask`).
     - This method offers better performance, structured data exchange, and richer error handling compared to CLI parsing.
     - Refer to [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc) for details on the MCP architecture and available tools.
     - A comprehensive list and description of MCP tools and their corresponding CLI commands can be found in [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc).
     - **Restart the MCP server** if core logic in `scripts/modules` or MCP tool/direct function definitions change.
+    - **Note**: MCP tools fully support tagged task lists with complete tag management capabilities.
 
 2.  **`task-master` CLI (For Users & Fallback)**:
     - The global `task-master` command provides a user-friendly interface for direct terminal interaction.
@@ -26,56 +206,44 @@ Task Master offers two primary ways to interact:
     - Install globally with `npm install -g task-master-ai` or use locally via `npx task-master-ai ...`.
     - The CLI commands often mirror the MCP tools (e.g., `task-master list` corresponds to `get_tasks`).
     - Refer to [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc) for a detailed command reference.
+    - **Tagged Task Lists**: CLI fully supports the new tagged system with seamless migration.
 
-## Standard Development Workflow Process
+## How the Tag System Works (For Your Reference)
 
--   Start new projects by running `init` tool / `task-master init` or `parse_prd` / `task-master parse-prd --input='<prd-file.txt>'` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to generate initial tasks.json
--   Begin coding sessions with `get_tasks` / `task-master list` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to see current tasks, status, and IDs
--   Determine the next task to work on using `next_task` / `task-master next` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)).
--   Analyze task complexity with `analyze_complexity` / `task-master analyze-complexity --research` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) before breaking down tasks
--   Review complexity report using `complexity_report` / `task-master complexity-report` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)).
--   Select tasks based on dependencies (all marked 'done'), priority level, and ID order
--   Clarify tasks by checking task files in tasks/ directory or asking for user input
--   View specific task details using `get_task` / `task-master show <id>` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to understand implementation requirements
--   Break down complex tasks using `expand_task` / `task-master expand --id=<id>` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) with appropriate flags
--   Clear existing subtasks if needed using `clear_subtasks` / `task-master clear-subtasks --id=<id>` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) before regenerating
--   Implement code following task details, dependencies, and project standards
--   Verify tasks according to test strategies before marking as complete (See [`tests.mdc`](mdc:.cursor/rules/tests.mdc))
--   Mark completed tasks with `set_task_status` / `task-master set-status --id=<id> --status=done` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc))
--   Update dependent tasks when implementation differs from original plan using `update` / `task-master update --from=<id> --prompt="..."` or `update_task` / `task-master update-task --id=<id> --prompt="..."` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc))
--   Add new tasks discovered during implementation using `add_task` / `task-master add-task --prompt="..."` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)).
--   Add new subtasks as needed using `add_subtask` / `task-master add-subtask --parent=<id> --title="..."` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)).
--   Append notes or details to subtasks using `update_subtask` / `task-master update-subtask --id=<subtaskId> --prompt='Add implementation notes here...\nMore details...'` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)).
--   Generate task files with `generate` / `task-master generate` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) after updating tasks.json
--   Maintain valid dependency structure with `add_dependency`/`remove_dependency` tools or `task-master add-dependency`/`remove-dependency` commands, `validate_dependencies` / `task-master validate-dependencies`, and `fix_dependencies` / `task-master fix-dependencies` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) when needed
--   Respect dependency chains and task priorities when selecting work
--   Report progress regularly using `get_tasks` / `task-master list`
+- **Data Structure**: Tasks are organized into separate contexts (tags) like "master", "feature-branch", or "v2.0".
+- **Silent Migration**: Existing projects automatically migrate to use a "master" tag with zero disruption.
+- **Context Isolation**: Tasks in different tags are completely separate. Changes in one tag do not affect any other tag.
+- **Manual Control**: The user is always in control. There is no automatic switching. You facilitate switching by using `use-tag <name>`.
+- **Full CLI & MCP Support**: All tag management commands are available through both the CLI and MCP tools for you to use. Refer to [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc) for a full command list.
+
+---
 
 ## Task Complexity Analysis
 
--   Run `analyze_complexity` / `task-master analyze-complexity --research` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) for comprehensive analysis
+-   Run `analyze_project_complexity` / `task-master analyze-complexity --research` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) for comprehensive analysis
 -   Review complexity report via `complexity_report` / `task-master complexity-report` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) for a formatted, readable version.
 -   Focus on tasks with highest complexity scores (8-10) for detailed breakdown
 -   Use analysis results to determine appropriate subtask allocation
--   Note that reports are automatically used by the `expand` tool/command
+-   Note that reports are automatically used by the `expand_task` tool/command
 
 ## Task Breakdown Process
 
--   For tasks with complexity analysis, use `expand_task` / `task-master expand --id=<id>` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc))
--   Otherwise use `expand_task` / `task-master expand --id=<id> --num=<number>`
--   Add `--research` flag to leverage Perplexity AI for research-backed expansion
--   Use `--prompt="<context>"` to provide additional context when needed
--   Review and adjust generated subtasks as necessary
--   Use `--all` flag with `expand` or `expand_all` to expand multiple pending tasks at once
--   If subtasks need regeneration, clear them first with `clear_subtasks` / `task-master clear-subtasks` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)).
+-   Use `expand_task` / `task-master expand --id=<id>`. It automatically uses the complexity report if found, otherwise generates default number of subtasks.
+-   Use `--num=<number>` to specify an explicit number of subtasks, overriding defaults or complexity report recommendations.
+-   Add `--research` flag to leverage Perplexity AI for research-backed expansion.
+-   Add `--force` flag to clear existing subtasks before generating new ones (default is to append).
+-   Use `--prompt="<context>"` to provide additional context when needed.
+-   Review and adjust generated subtasks as necessary.
+-   Use `expand_all` tool or `task-master expand --all` to expand multiple pending tasks at once, respecting flags like `--force` and `--research`.
+-   If subtasks need complete replacement (regardless of the `--force` flag on `expand`), clear them first with `clear_subtasks` / `task-master clear-subtasks --id=<id>`.
 
 ## Implementation Drift Handling
 
 -   When implementation differs significantly from planned approach
 -   When future tasks need modification due to current implementation choices
 -   When new dependencies or requirements emerge
--   Use `update` / `task-master update --from=<futureTaskId> --prompt='<explanation>\nUpdate context...'` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to update multiple future tasks.
--   Use `update_task` / `task-master update-task --id=<taskId> --prompt='<explanation>\nUpdate context...'` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to update a single specific task.
+-   Use `update` / `task-master update --from=<futureTaskId> --prompt='<explanation>\nUpdate context...' --research` to update multiple future tasks.
+-   Use `update_task` / `task-master update-task --id=<taskId> --prompt='<explanation>\nUpdate context...' --research` to update a single specific task.
 
 ## Task Status Management
 
@@ -97,28 +265,38 @@ Task Master offers two primary ways to interact:
 - **details**: In-depth implementation instructions (Example: `"Use GitHub client ID/secret, handle callback, set session token."`) 
 - **testStrategy**: Verification approach (Example: `"Deploy and call endpoint to confirm 'Hello World' response."`) 
 - **subtasks**: List of smaller, more specific tasks (Example: `[{"id": 1, "title": "Configure OAuth", ...}]`) 
-- Refer to [`tasks.mdc`](mdc:.cursor/rules/tasks.mdc) for more details on the task data structure.
+- Refer to task structure details (previously linked to `tasks.mdc`).
 
-## Environment Variables Configuration
+## Configuration Management (Updated)
 
-- Task Master behavior is configured via environment variables:
-  - **ANTHROPIC_API_KEY** (Required): Your Anthropic API key for Claude.
-  - **MODEL**: Claude model to use (e.g., `claude-3-opus-20240229`).
-  - **MAX_TOKENS**: Maximum tokens for AI responses.
-  - **TEMPERATURE**: Temperature for AI model responses.
-  - **DEBUG**: Enable debug logging (`true`/`false`).
-  - **LOG_LEVEL**: Console output level (`debug`, `info`, `warn`, `error`).
-  - **DEFAULT_SUBTASKS**: Default number of subtasks for `expand`.
-  - **DEFAULT_PRIORITY**: Default priority for new tasks.
-  - **PROJECT_NAME**: Project name used in metadata.
-  - **PROJECT_VERSION**: Project version used in metadata.
-  - **PERPLEXITY_API_KEY**: API key for Perplexity AI (for `--research` flags).
-  - **PERPLEXITY_MODEL**: Perplexity model to use (e.g., `sonar-medium-online`).
-- See [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc) for default values and examples.
+Taskmaster configuration is managed through two main mechanisms:
+
+1.  **`.taskmaster/config.json` File (Primary):**
+    *   Located in the project root directory.
+    *   Stores most configuration settings: AI model selections (main, research, fallback), parameters (max tokens, temperature), logging level, default subtasks/priority, project name, etc.
+    *   **Tagged System Settings**: Includes `global.defaultTag` (defaults to "master") and `tags` section for tag management configuration.
+    *   **Managed via `task-master models --setup` command.** Do not edit manually unless you know what you are doing.
+    *   **View/Set specific models via `task-master models` command or `models` MCP tool.**
+    *   Created automatically when you run `task-master models --setup` for the first time or during tagged system migration.
+
+2.  **Environment Variables (`.env` / `mcp.json`):**
+    *   Used **only** for sensitive API keys and specific endpoint URLs.
+    *   Place API keys (one per provider) in a `.env` file in the project root for CLI usage.
+    *   For MCP/Cursor integration, configure these keys in the `env` section of `.cursor/mcp.json`.
+    *   Available keys/variables: See `assets/env.example` or the Configuration section in the command reference (previously linked to `taskmaster.mdc`).
+
+3.  **`.taskmaster/state.json` File (Tagged System State):**
+    *   Tracks current tag context and migration status.
+    *   Automatically created during tagged system migration.
+    *   Contains: `currentTag`, `lastSwitched`, `migrationNoticeShown`.
+
+**Important:** Non-API key settings (like model selections, `MAX_TOKENS`, `TASKMASTER_LOG_LEVEL`) are **no longer configured via environment variables**. Use the `task-master models` command (or `--setup` for interactive configuration) or the `models` MCP tool.
+**If AI commands FAIL in MCP** verify that the API key for the selected provider is present in the `env` section of `.cursor/mcp.json`.
+**If AI commands FAIL in CLI** verify that the API key for the selected provider is present in the `.env` file in the root of the project.
 
 ## Determining the Next Task
 
-- Run `next_task` / `task-master next` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to show the next task to work on
+- Run `next_task` / `task-master next` to show the next task to work on.
 - The command identifies tasks with all dependencies satisfied
 - Tasks are prioritized by priority level, dependency count, and ID
 - The command shows comprehensive task information including:
@@ -133,7 +311,7 @@ Task Master offers two primary ways to interact:
 
 ## Viewing Specific Task Details
 
-- Run `get_task` / `task-master show <id>` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to view a specific task
+- Run `get_task` / `task-master show <id>` to view a specific task.
 - Use dot notation for subtasks: `task-master show 1.2` (shows subtask 2 of task 1)
 - Displays comprehensive information similar to the next command, but for a specific task
 - For parent tasks, shows all subtasks and their current status
@@ -143,13 +321,32 @@ Task Master offers two primary ways to interact:
 
 ## Managing Task Dependencies
 
-- Use `add_dependency` / `task-master add-dependency --id=<id> --depends-on=<id>` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to add a dependency
-- Use `remove_dependency` / `task-master remove-dependency --id=<id> --depends-on=<id>` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to remove a dependency
+- Use `add_dependency` / `task-master add-dependency --id=<id> --depends-on=<id>` to add a dependency.
+- Use `remove_dependency` / `task-master remove-dependency --id=<id> --depends-on=<id>` to remove a dependency.
 - The system prevents circular dependencies and duplicate dependency entries
 - Dependencies are checked for existence before being added or removed
 - Task files are automatically regenerated after dependency changes
 - Dependencies are visualized with status indicators in task listings and files
 
+## Task Reorganization
+
+- Use `move_task` / `task-master move --from=<id> --to=<id>` to move tasks or subtasks within the hierarchy
+- This command supports several use cases:
+  - Moving a standalone task to become a subtask (e.g., `--from=5 --to=7`)
+  - Moving a subtask to become a standalone task (e.g., `--from=5.2 --to=7`) 
+  - Moving a subtask to a different parent (e.g., `--from=5.2 --to=7.3`)
+  - Reordering subtasks within the same parent (e.g., `--from=5.2 --to=5.4`)
+  - Moving a task to a new, non-existent ID position (e.g., `--from=5 --to=25`)
+  - Moving multiple tasks at once using comma-separated IDs (e.g., `--from=10,11,12 --to=16,17,18`)
+- The system includes validation to prevent data loss:
+  - Allows moving to non-existent IDs by creating placeholder tasks
+  - Prevents moving to existing task IDs that have content (to avoid overwriting)
+  - Validates source tasks exist before attempting to move them
+- The system maintains proper parent-child relationships and dependency integrity
+- Task files are automatically regenerated after the move operation
+- This provides greater flexibility in organizing and refining your task structure as project understanding evolves
+- This is especially useful when dealing with potential merge conflicts arising from teams creating tasks on separate branches. Solve these conflicts very easily by moving your tasks and keeping theirs.
+
 ## Iterative Subtask Implementation
 
 Once a task has been broken down into subtasks using `expand_task` or similar methods, follow this iterative process for implementation:
@@ -164,14 +361,14 @@ Once a task has been broken down into subtasks using `expand_task` or similar me
     *   Gather *all* relevant details from this exploration phase.
 
 3.  **Log the Plan:**
-    *   Run `update_subtask` / `task-master update-subtask --id=<subtaskId> --prompt='<detailed plan>'` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)).
+    *   Run `update_subtask` / `task-master update-subtask --id=<subtaskId> --prompt='<detailed plan>'`.
     *   Provide the *complete and detailed* findings from the exploration phase in the prompt. Include file paths, line numbers, proposed diffs, reasoning, and any potential challenges identified. Do not omit details. The goal is to create a rich, timestamped log within the subtask's `details`.
 
 4.  **Verify the Plan:**
     *   Run `get_task` / `task-master show <subtaskId>` again to confirm that the detailed implementation plan has been successfully appended to the subtask's details.
 
 5.  **Begin Implementation:**
-    *   Set the subtask status using `set_task_status` / `task-master set-status --id=<subtaskId> --status=in-progress` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)).
+    *   Set the subtask status using `set_task_status` / `task-master set-status --id=<subtaskId> --status=in-progress`.
     *   Start coding based on the logged plan.
 
 6.  **Refine and Log Progress (Iteration 2+):**
@@ -189,7 +386,7 @@ Once a task has been broken down into subtasks using `expand_task` or similar me
 7.  **Review & Update Rules (Post-Implementation):**
     *   Once the implementation for the subtask is functionally complete, review all code changes and the relevant chat history.
     *   Identify any new or modified code patterns, conventions, or best practices established during the implementation.
-    *   Create new or update existing Cursor rules in the `.cursor/rules/` directory to capture these patterns, following the guidelines in [`cursor_rules.mdc`](mdc:.cursor/rules/cursor_rules.mdc) and [`self_improve.mdc`](mdc:.cursor/rules/self_improve.mdc).
+    *   Create new or update existing rules following internal guidelines (previously linked to `cursor_rules.mdc` and `self_improve.mdc`).
 
 8.  **Mark Task Complete:**
     *   After verifying the implementation and updating any necessary rules, mark the subtask as completed: `set_task_status` / `task-master set-status --id=<subtaskId> --status=done`.
@@ -198,10 +395,10 @@ Once a task has been broken down into subtasks using `expand_task` or similar me
     *   Stage the relevant code changes and any updated/new rule files (`git add .`).
     *   Craft a comprehensive Git commit message summarizing the work done for the subtask, including both code implementation and any rule adjustments.
     *   Execute the commit command directly in the terminal (e.g., `git commit -m 'feat(module): Implement feature X for subtask <subtaskId>\n\n- Details about changes...\n- Updated rule Y for pattern Z'`).
-    *   Consider if a Changeset is needed according to [`changeset.mdc`](mdc:.cursor/rules/changeset.mdc). If so, run `npm run changeset`, stage the generated file, and amend the commit or create a new one.
+    *   Consider if a Changeset is needed according to internal versioning guidelines (previously linked to `changeset.mdc`). If so, run `npm run changeset`, stage the generated file, and amend the commit or create a new one.
 
 10. **Proceed to Next Subtask:**
-    *   Identify the next subtask in the dependency chain (e.g., using `next_task` / `task-master next`) and repeat this iterative process starting from step 1.
+    *   Identify the next subtask (e.g., using `next_task` / `task-master next`).
 
 ## Code Analysis & Refactoring Techniques
 

.cursor/rules/git_workflow.mdc

@@ -0,0 +1,404 @@
+---
+description: Git workflow integrated with Task Master for feature development and collaboration
+globs: "**/*"
+alwaysApply: true
+---
+# Git Workflow with Task Master Integration
+
+## **Branch Strategy**
+
+### **Main Branch Protection**
+- **main** branch contains production-ready code
+- All feature development happens on task-specific branches
+- Direct commits to main are prohibited
+- All changes merge via Pull Requests
+
+### **Task Branch Naming**
+```bash
+# ✅ DO: Use consistent task branch naming
+task-001  # For Task 1
+task-004  # For Task 4
+task-015  # For Task 15
+
+# ❌ DON'T: Use inconsistent naming
+feature/user-auth
+fix-database-issue
+random-branch-name
+```
+
+## **Tagged Task Lists Integration**
+
+Task Master's **tagged task lists system** provides significant benefits for Git workflows:
+
+### **Multi-Context Development**
+- **Branch-Specific Tasks**: Each branch can have its own task context using tags
+- **Merge Conflict Prevention**: Tasks in different tags are completely isolated
+- **Context Switching**: Seamlessly switch between different development contexts
+- **Parallel Development**: Multiple team members can work on separate task contexts
+
+### **Migration and Compatibility**
+- **Seamless Migration**: Existing projects automatically migrate to use a "master" tag
+- **Zero Disruption**: All existing Git workflows continue unchanged
+- **Backward Compatibility**: Legacy projects work exactly as before
+
+### **Manual Git Integration**
+- **Manual Tag Creation**: Use `--from-branch` option to create tags from current git branch
+- **Manual Context Switching**: Explicitly switch tag contexts as needed for different branches
+- **Simplified Integration**: Focused on manual control rather than automatic workflows
+
+## **Workflow Overview**
+
+```mermaid
+flowchart TD
+    A[Start: On main branch] --> B[Pull latest changes]
+    B --> C[Create task branch<br/>git checkout -b task-XXX]
+    C --> D[Set task status: in-progress]
+    D --> E[Get task context & expand if needed<br/>Tasks automatically use current tag]
+    E --> F[Identify next subtask]
+    
+    F --> G[Set subtask: in-progress]
+    G --> H[Research & collect context<br/>update_subtask with findings]
+    H --> I[Implement subtask]
+    I --> J[Update subtask with completion]
+    J --> K[Set subtask: done]
+    K --> L[Git commit subtask]
+    
+    L --> M{More subtasks?}
+    M -->|Yes| F
+    M -->|No| N[Run final tests]
+    
+    N --> O[Commit tests if added]
+    O --> P[Push task branch]
+    P --> Q[Create Pull Request]
+    Q --> R[Human review & merge]
+    R --> S[Switch to main & pull]
+    S --> T[Delete task branch]
+    T --> U[Ready for next task]
+    
+    style A fill:#e1f5fe
+    style C fill:#f3e5f5
+    style G fill:#fff3e0
+    style L fill:#e8f5e8
+    style Q fill:#fce4ec
+    style R fill:#f1f8e9
+    style U fill:#e1f5fe
+```
+
+## **Complete Task Development Workflow**
+
+### **Phase 1: Task Preparation**
+```bash
+# 1. Ensure you're on main branch and pull latest
+git checkout main
+git pull origin main
+
+# 2. Check current branch status
+git branch  # Verify you're on main
+
+# 3. Create task-specific branch
+git checkout -b task-004  # For Task 4
+
+# 4. Set task status in Task Master (tasks automatically use current tag context)
+# Use: set_task_status tool or `task-master set-status --id=4 --status=in-progress`
+```
+
+### **Phase 2: Task Analysis & Planning**
+```bash
+# 5. Get task context and expand if needed (uses current tag automatically)
+# Use: get_task tool or `task-master show 4`
+# Use: expand_task tool or `task-master expand --id=4 --research --force` (if complex)
+
+# 6. Identify next subtask to work on
+# Use: next_task tool or `task-master next`
+```
+
+### **Phase 3: Subtask Implementation Loop**
+For each subtask, follow this pattern:
+
+```bash
+# 7. Mark subtask as in-progress
+# Use: set_task_status tool or `task-master set-status --id=4.1 --status=in-progress`
+
+# 8. Gather context and research (if needed)
+# Use: update_subtask tool with research flag or:
+# `task-master update-subtask --id=4.1 --prompt="Research findings..." --research`
+
+# 9. Collect code context through AI exploration
+# Document findings in subtask using update_subtask
+
+# 10. Implement the subtask
+# Write code, tests, documentation
+
+# 11. Update subtask with completion details
+# Use: update_subtask tool or:
+# `task-master update-subtask --id=4.1 --prompt="Implementation complete..."`
+
+# 12. Mark subtask as done
+# Use: set_task_status tool or `task-master set-status --id=4.1 --status=done`
+
+# 13. Commit the subtask implementation
+git add .
+git commit -m "feat(task-4): Complete subtask 4.1 - [Subtask Title]
+
+- Implementation details
+- Key changes made
+- Any important notes
+
+Subtask 4.1: [Brief description of what was accomplished]
+Relates to Task 4: [Main task title]"
+```
+
+### **Phase 4: Task Completion**
+```bash
+# 14. When all subtasks are complete, run final testing
+# Create test file if needed, ensure all tests pass
+npm test  # or jest, or manual testing
+
+# 15. If tests were added/modified, commit them
+git add .
+git commit -m "test(task-4): Add comprehensive tests for Task 4
+
+- Unit tests for core functionality
+- Integration tests for API endpoints
+- All tests passing
+
+Task 4: [Main task title] - Testing complete"
+
+# 16. Push the task branch
+git push origin task-004
+
+# 17. Create Pull Request
+# Title: "Task 4: [Task Title]"
+# Description should include:
+# - Task overview
+# - Subtasks completed
+# - Testing approach
+# - Any breaking changes or considerations
+```
+
+### **Phase 5: PR Merge & Cleanup**
+```bash
+# 18. Human reviews and merges PR into main
+
+# 19. Switch back to main and pull merged changes
+git checkout main
+git pull origin main
+
+# 20. Delete the feature branch (optional cleanup)
+git branch -d task-004
+git push origin --delete task-004
+```
+
+## **Commit Message Standards**
+
+### **Subtask Commits**
+```bash
+# ✅ DO: Consistent subtask commit format
+git commit -m "feat(task-4): Complete subtask 4.1 - Initialize Express server
+
+- Set up Express.js with TypeScript configuration
+- Added CORS and body parsing middleware
+- Implemented health check endpoints
+- Basic error handling middleware
+
+Subtask 4.1: Initialize project with npm and install dependencies
+Relates to Task 4: Setup Express.js Server Project"
+
+# ❌ DON'T: Vague or inconsistent commits
+git commit -m "fixed stuff"
+git commit -m "working on task"
+```
+
+### **Test Commits**
+```bash
+# ✅ DO: Separate test commits when substantial
+git commit -m "test(task-4): Add comprehensive tests for Express server setup
+
+- Unit tests for middleware configuration
+- Integration tests for health check endpoints
+- Mock tests for database connection
+- All tests passing with 95% coverage
+
+Task 4: Setup Express.js Server Project - Testing complete"
+```
+
+### **Commit Type Prefixes**
+- `feat(task-X):` - New feature implementation
+- `fix(task-X):` - Bug fixes
+- `test(task-X):` - Test additions/modifications
+- `docs(task-X):` - Documentation updates
+- `refactor(task-X):` - Code refactoring
+- `chore(task-X):` - Build/tooling changes
+
+## **Task Master Commands Integration**
+
+### **Essential Commands for Git Workflow**
+```bash
+# Task management (uses current tag context automatically)
+task-master show <id>           # Get task/subtask details
+task-master next                # Find next task to work on
+task-master set-status --id=<id> --status=<status>
+task-master update-subtask --id=<id> --prompt="..." --research
+
+# Task expansion (for complex tasks)
+task-master expand --id=<id> --research --force
+
+# Progress tracking
+task-master list                # View all tasks and status
+task-master list --status=in-progress  # View active tasks
+```
+
+### **MCP Tool Equivalents**
+When using Cursor or other MCP-integrated tools:
+- `get_task` instead of `task-master show`
+- `next_task` instead of `task-master next`
+- `set_task_status` instead of `task-master set-status`
+- `update_subtask` instead of `task-master update-subtask`
+
+## **Branch Management Rules**
+
+### **Branch Protection**
+```bash
+# ✅ DO: Always work on task branches
+git checkout -b task-005
+# Make changes
+git commit -m "..."
+git push origin task-005
+
+# ❌ DON'T: Commit directly to main
+git checkout main
+git commit -m "..."  # NEVER do this
+```
+
+### **Keeping Branches Updated**
+```bash
+# ✅ DO: Regularly sync with main (for long-running tasks)
+git checkout task-005
+git fetch origin
+git rebase origin/main  # or merge if preferred
+
+# Resolve any conflicts and continue
+```
+
+## **Pull Request Guidelines**
+
+### **PR Title Format**
+```
+Task <ID>: <Task Title>
+
+Examples:
+Task 4: Setup Express.js Server Project
+Task 7: Implement User Authentication
+Task 12: Add Stripe Payment Integration
+```
+
+### **PR Description Template**
+```markdown
+## Task Overview
+Brief description of the main task objective.
+
+## Subtasks Completed
+- [x] 4.1: Initialize project with npm and install dependencies
+- [x] 4.2: Configure TypeScript, ESLint and Prettier  
+- [x] 4.3: Create basic Express app with middleware and health check route
+
+## Implementation Details
+- Key architectural decisions made
+- Important code changes
+- Any deviations from original plan
+
+## Testing
+- [ ] Unit tests added/updated
+- [ ] Integration tests passing
+- [ ] Manual testing completed
+
+## Breaking Changes
+List any breaking changes or migration requirements.
+
+## Related Tasks
+Mention any dependent tasks or follow-up work needed.
+```
+
+## **Conflict Resolution**
+
+### **Task Conflicts with Tagged System**
+```bash
+# With tagged task lists, merge conflicts are significantly reduced:
+# 1. Different branches can use different tag contexts
+# 2. Tasks in separate tags are completely isolated
+# 3. Use Task Master's move functionality to reorganize if needed
+
+# Manual git integration available:
+# - Use `task-master add-tag --from-branch` to create tags from current branch
+# - Manually switch contexts with `task-master use-tag <name>`
+# - Simple, predictable workflow without automatic behavior
+```
+
+### **Code Conflicts**
+```bash
+# Standard Git conflict resolution
+git fetch origin
+git rebase origin/main
+# Resolve conflicts in files
+git add .
+git rebase --continue
+```
+
+## **Emergency Procedures**
+
+### **Hotfixes**
+```bash
+# For urgent production fixes:
+git checkout main
+git pull origin main
+git checkout -b hotfix-urgent-issue
+
+# Make minimal fix
+git commit -m "hotfix: Fix critical production issue
+
+- Specific fix description
+- Minimal impact change
+- Requires immediate deployment"
+
+git push origin hotfix-urgent-issue
+# Create emergency PR for immediate review
+```
+
+### **Task Abandonment**
+```bash
+# If task needs to be abandoned or significantly changed:
+# 1. Update task status
+task-master set-status --id=<id> --status=cancelled
+
+# 2. Clean up branch
+git checkout main
+git branch -D task-<id>
+git push origin --delete task-<id>
+
+# 3. Document reasoning in task
+task-master update-task --id=<id> --prompt="Task cancelled due to..."
+```
+
+## **Tagged System Benefits for Git Workflows**
+
+### **Multi-Team Development**
+- **Isolated Contexts**: Different teams can work on separate tag contexts without conflicts
+- **Feature Branches**: Each feature branch can have its own task context
+- **Release Management**: Separate tags for different release versions or environments
+
+### **Merge Conflict Prevention**
+- **Context Separation**: Tasks in different tags don't interfere with each other
+- **Clean Merges**: Reduced likelihood of task-related merge conflicts
+- **Parallel Development**: Multiple developers can work simultaneously without task conflicts
+
+### **Manual Git Integration**
+- **Branch-Based Tag Creation**: Use `--from-branch` option to create tags from current git branch
+- **Manual Context Management**: Explicitly switch tag contexts as needed
+- **Predictable Workflow**: Simple, manual control without automatic behavior
+
+---
+
+**References:**
+- [Task Master Workflow](mdc:.cursor/rules/dev_workflow.mdc)
+- [Architecture Guidelines](mdc:.cursor/rules/architecture.mdc)
+- [Task Master Commands](mdc:.cursor/rules/taskmaster.mdc)

.cursor/rules/glossary.mdc

@@ -3,24 +3,24 @@ description: Glossary of other Cursor rules
 globs: **/*
 alwaysApply: true
 ---
-
 # Glossary of Task Master Cursor Rules
 
 This file provides a quick reference to the purpose of each rule file located in the `.cursor/rules` directory.
 
-- **[`architecture.mdc`](mdc:.cursor/rules/architecture.mdc)**: Describes the high-level architecture of the Task Master CLI application.
+- **[`architecture.mdc`](mdc:.cursor/rules/architecture.mdc)**: Describes the high-level architecture of the Task Master CLI application, including the new tagged task lists system.
 - **[`changeset.mdc`](mdc:.cursor/rules/changeset.mdc)**: Guidelines for using Changesets (npm run changeset) to manage versioning and changelogs.
 - **[`commands.mdc`](mdc:.cursor/rules/commands.mdc)**: Guidelines for implementing CLI commands using Commander.js.
 - **[`cursor_rules.mdc`](mdc:.cursor/rules/cursor_rules.mdc)**: Guidelines for creating and maintaining Cursor rules to ensure consistency and effectiveness.
-- **[`dependencies.mdc`](mdc:.cursor/rules/dependencies.mdc)**: Guidelines for managing task dependencies and relationships.
-- **[`dev_workflow.mdc`](mdc:.cursor/rules/dev_workflow.mdc)**: Guide for using Task Master to manage task-driven development workflows.
+- **[`dependencies.mdc`](mdc:.cursor/rules/dependencies.mdc)**: Guidelines for managing task dependencies and relationships across tagged task contexts.
+- **[`dev_workflow.mdc`](mdc:.cursor/rules/dev_workflow.mdc)**: Guide for using Task Master to manage task-driven development workflows with tagged task lists support.
 - **[`glossary.mdc`](mdc:.cursor/rules/glossary.mdc)**: This file; provides a glossary of other Cursor rules.
 - **[`mcp.mdc`](mdc:.cursor/rules/mcp.mdc)**: Guidelines for implementing and interacting with the Task Master MCP Server.
-- **[`new_features.mdc`](mdc:.cursor/rules/new_features.mdc)**: Guidelines for integrating new features into the Task Master CLI.
+- **[`new_features.mdc`](mdc:.cursor/rules/new_features.mdc)**: Guidelines for integrating new features into the Task Master CLI with tagged system considerations.
 - **[`self_improve.mdc`](mdc:.cursor/rules/self_improve.mdc)**: Guidelines for continuously improving Cursor rules based on emerging code patterns and best practices.
-- **[`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)**: Comprehensive reference for Taskmaster MCP tools and CLI commands.
-- **[`tasks.mdc`](mdc:.cursor/rules/tasks.mdc)**: Guidelines for implementing task management operations.
+- **[`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)**: Comprehensive reference for Taskmaster MCP tools and CLI commands with tagged task lists information.
+- **[`tasks.mdc`](mdc:.cursor/rules/tasks.mdc)**: Guidelines for implementing task management operations with tagged task lists system support.
 - **[`tests.mdc`](mdc:.cursor/rules/tests.mdc)**: Guidelines for implementing and maintaining tests for Task Master CLI.
 - **[`ui.mdc`](mdc:.cursor/rules/ui.mdc)**: Guidelines for implementing and maintaining user interface components.
-- **[`utilities.mdc`](mdc:.cursor/rules/utilities.mdc)**: Guidelines for implementing utility functions.
+- **[`utilities.mdc`](mdc:.cursor/rules/utilities.mdc)**: Guidelines for implementing utility functions including tagged task lists utilities.
+- **[`telemetry.mdc`](mdc:.cursor/rules/telemetry.mdc)**: Guidelines for integrating AI usage telemetry across Task Master.
 

.cursor/rules/mcp.mdc

@@ -3,7 +3,6 @@ description: Guidelines for implementing and interacting with the Task Master MC
 globs: mcp-server/src/**/*, scripts/modules/**/*
 alwaysApply: false
 ---
-
 # Task Master MCP Server Guidelines
 
 This document outlines the architecture and implementation patterns for the Task Master Model Context Protocol (MCP) server, designed for integration with tools like Cursor.
@@ -90,69 +89,54 @@ When implementing a new direct function in `mcp-server/src/core/direct-functions
      ```
 
 5. **Handling Logging Context (`mcpLog`)**:
-   - **Requirement**: Core functions that use the internal `report` helper function (common in `task-manager.js`, `dependency-manager.js`, etc.) expect the `options` object to potentially contain an `mcpLog` property. This `mcpLog` object **must** have callable methods for each log level (e.g., `mcpLog.info(...)`, `mcpLog.error(...)`).
-   - **Challenge**: The `log` object provided by FastMCP to the direct function's context, while functional, might not perfectly match this expected structure or could change in the future. Passing it directly can lead to runtime errors like `mcpLog[level] is not a function`.
-   - **Solution: The Logger Wrapper Pattern**: To reliably bridge the FastMCP `log` object and the core function's `mcpLog` expectation, use a simple wrapper object within the direct function:
+   - **Requirement**: Core functions (like those in `task-manager.js`) may accept an `options` object containing an optional `mcpLog` property. If provided, the core function expects this object to have methods like `mcpLog.info(...)`, `mcpLog.error(...)`.
+   - **Solution: The Logger Wrapper Pattern**: When calling a core function from a direct function, pass the `log` object provided by FastMCP *wrapped* in the standard `logWrapper` object. This ensures the core function receives a logger with the expected method structure.
      ```javascript
      // Standard logWrapper pattern within a Direct Function
      const logWrapper = {
        info: (message, ...args) => log.info(message, ...args),
        warn: (message, ...args) => log.warn(message, ...args),
        error: (message, ...args) => log.error(message, ...args),
-       debug: (message, ...args) => log.debug && log.debug(message, ...args), // Handle optional debug
-       success: (message, ...args) => log.info(message, ...args) // Map success to info if needed
+       debug: (message, ...args) => log.debug && log.debug(message, ...args),
+       success: (message, ...args) => log.info(message, ...args)
      };
 
      // ... later when calling the core function ...
      await coreFunction(
        // ... other arguments ...
-       tasksPath, 
-       taskId,
        { 
          mcpLog: logWrapper, // Pass the wrapper object
-         session 
+         session // Also pass session if needed by core logic or AI service
        },
        'json' // Pass 'json' output format if supported by core function
      );
      ```
-   - **Critical For JSON Output Format**: Passing the `logWrapper` as `mcpLog` serves a dual purpose:
-     1. **Prevents Runtime Errors**: It ensures the `mcpLog[level](...)` calls within the core function succeed
-     2. **Controls Output Format**: In functions like `updateTaskById` and `updateSubtaskById`, the presence of `mcpLog` in the options triggers setting `outputFormat = 'json'` (instead of 'text'). This prevents UI elements (spinners, boxes) from being generated, which would break the JSON response.
-   - **Proven Solution**: This pattern has successfully fixed multiple issues in our MCP tools (including `update-task` and `update-subtask`), where direct passing of the `log` object or omitting `mcpLog` led to either runtime errors or JSON parsing failures from UI output.
-   - **When To Use**: Implement this wrapper in any direct function that calls a core function with an `options` object that might use `mcpLog` for logging or output format control.
-   - **Why it Works**: The `logWrapper` explicitly defines the `.info()`, `.warn()`, `.error()`, etc., methods that the core function's `report` helper needs, ensuring the `mcpLog[level](...)` call succeeds. It simply forwards the logging calls to the actual FastMCP `log` object.
-   - **Combined with Silent Mode**: Remember that using the `logWrapper` for `mcpLog` is **necessary *in addition* to using `enableSilentMode()` / `disableSilentMode()`** (see next point). The wrapper handles structured logging *within* the core function, while silent mode suppresses direct `console.log` and UI elements (spinners, boxes) that would break the MCP JSON response.
+   - **JSON Output**: Passing `mcpLog` (via the wrapper) often triggers the core function to use a JSON-friendly output format, suppressing spinners/boxes.
+   - ✅ **DO**: Implement this pattern in direct functions calling core functions that might use `mcpLog`.
 
 6. **Silent Mode Implementation**:
-    - ✅ **DO**: Import silent mode utilities at the top: `import { enableSilentMode, disableSilentMode, isSilentMode } from '../../../../scripts/modules/utils.js';`
-    - ✅ **DO**: Ensure core Task Master functions called from direct functions do **not** pollute `stdout` with console output (banners, spinners, logs) that would break MCP's JSON communication.
-      - **Preferred**: Modify the core function to accept an `outputFormat: 'json'` parameter and check it internally before printing UI elements. Pass `'json'` from the direct function.
-      - **Required Fallback/Guarantee**: If the core function cannot be modified or its output suppression is unreliable, **wrap the core function call** within the direct function using `enableSilentMode()` / `disableSilentMode()` in a `try/finally` block. This guarantees no console output interferes with the MCP response.
-    - ✅ **DO**: Use `isSilentMode()` function to check global silent mode status if needed (rare in direct functions), NEVER access the global `silentMode` variable directly.
-    - ❌ **DON'T**: Wrap AI client initialization or AI API calls in `enable/disableSilentMode`; their logging is controlled via the `log` object (passed potentially within the `logWrapper` for core functions).
-    - ❌ **DON'T**: Assume a core function is silent just because it *should* be. Verify or use the `enable/disableSilentMode` wrapper.
-    - **Example (Direct Function Guaranteeing Silence and using Log Wrapper)**:
+    - ✅ **DO**: Import silent mode utilities: `import { enableSilentMode, disableSilentMode, isSilentMode } from '../../../../scripts/modules/utils.js';`
+    - ✅ **DO**: Wrap core function calls *within direct functions* using `enableSilentMode()` / `disableSilentMode()` in a `try/finally` block if the core function might produce console output (spinners, boxes, direct `console.log`) that isn't reliably controlled by passing `{ mcpLog }` or an `outputFormat` parameter.
+    - ✅ **DO**: Always disable silent mode in the `finally` block.
+    - ❌ **DON'T**: Wrap calls to the unified AI service (`generateTextService`, `generateObjectService`) in silent mode; their logging is handled internally.
+    - **Example (Direct Function Guaranteeing Silence & using Log Wrapper)**:
       ```javascript
       export async function coreWrapperDirect(args, log, context = {}) {
         const { session } = context;
         const tasksPath = findTasksJsonPath(args, log);
-        
-        // Create the logger wrapper
-        const logWrapper = { /* ... as defined above ... */ };
+        const logWrapper = { /* ... */ };
 
         enableSilentMode(); // Ensure silence for direct console output
         try {
-          // Call core function, passing wrapper and 'json' format
           const result = await coreFunction(
-             tasksPath, 
-             args.param1, 
-             { mcpLog: logWrapper, session }, 
-             'json' // Explicitly request JSON format if supported
-          ); 
+             tasksPath,
+             args.param1,
+             { mcpLog: logWrapper, session }, // Pass context
+             'json' // Request JSON format if supported
+          );
           return { success: true, data: result };
         } catch (error) {
            log.error(`Error: ${error.message}`);
-           // Return standardized error object
            return { success: false, error: { /* ... */ } };
         } finally {
            disableSilentMode(); // Critical: Always disable in finally
@@ -163,32 +147,6 @@ When implementing a new direct function in `mcp-server/src/core/direct-functions
 7. **Debugging MCP/Core Logic Interaction**:
     - ✅ **DO**: If an MCP tool fails with unclear errors (like JSON parsing failures), run the equivalent `task-master` CLI command in the terminal. The CLI often provides more detailed error messages originating from the core logic (e.g., `ReferenceError`, stack traces) that are obscured by the MCP layer.
 
-### Specific Guidelines for AI-Based Direct Functions
-
-Direct functions that interact with AI (e.g., `addTaskDirect`, `expandTaskDirect`) have additional responsibilities:
-
-- **Context Parameter**: These functions receive an additional `context` object as their third parameter. **Critically, this object should only contain `{ session }`**. Do NOT expect or use `reportProgress` from this context.
-  ```javascript
-  export async function yourAIDirect(args, log, context = {}) {
-    const { session } = context; // Only expect session
-    // ...
-  }
-  ```
-- **AI Client Initialization**:
-  - ✅ **DO**: Use the utilities from [`mcp-server/src/core/utils/ai-client-utils.js`](mdc:mcp-server/src/core/utils/ai-client-utils.js) (e.g., `getAnthropicClientForMCP(session, log)`) to get AI client instances. These correctly use the `session` object to resolve API keys.
-  - ✅ **DO**: Wrap client initialization in a try/catch block and return a specific `AI_CLIENT_ERROR` on failure.
-- **AI Interaction**:
-  - ✅ **DO**: Build prompts using helper functions where appropriate (e.g., from `ai-prompt-helpers.js`).
-  - ✅ **DO**: Make the AI API call using appropriate helpers (e.g., `_handleAnthropicStream`). Pass the `log` object to these helpers for internal logging. **Do NOT pass `reportProgress`**.
-  - ✅ **DO**: Parse the AI response using helpers (e.g., `parseTaskJsonResponse`) and handle parsing errors with a specific code (e.g., `RESPONSE_PARSING_ERROR`).
-- **Calling Core Logic**:
-  - ✅ **DO**: After successful AI interaction, call the relevant core Task Master function (from `scripts/modules/`) if needed (e.g., `addTaskDirect` calls `addTask`).
-  - ✅ **DO**: Pass necessary data, including potentially the parsed AI results, to the core function.
-  - ✅ **DO**: If the core function can produce console output, call it with an `outputFormat: 'json'` argument (or similar, depending on the function) to suppress CLI output. Ensure the core function is updated to respect this. Use `enableSilentMode/disableSilentMode` around the core function call as a fallback if `outputFormat` is not supported or insufficient.
-- **Progress Indication**:
-  - ❌ **DON'T**: Call `reportProgress` within the direct function.
-  - ✅ **DO**: If intermediate progress status is needed *within* the long-running direct function, use standard logging: `log.info('Progress: Processing AI response...')`.
-
 ## Tool Definition and Execution
 
 ### Tool Structure
@@ -221,151 +179,78 @@ server.addTool({
 The `execute` function receives validated arguments and the FastMCP context:
 
 ```javascript
-// Standard signature
-execute: async (args, context) => {
-  // Tool implementation
-}
-
 // Destructured signature (recommended)
-execute: async (args, { log, reportProgress, session }) => {
+execute: async (args, { log, session }) => {
   // Tool implementation
 }
 ```
 
-- **args**: The first parameter contains all the validated parameters defined in the tool's schema.
-- **context**: The second parameter is an object containing `{ log, reportProgress, session }` provided by FastMCP.
-  - ✅ **DO**: Use `{ log, session }` when calling direct functions.
-  - ⚠️ **WARNING**: Avoid passing `reportProgress` down to direct functions due to client compatibility issues. See Progress Reporting Convention below.
+- **args**: Validated parameters.
+- **context**: Contains `{ log, session }` from FastMCP. (Removed `reportProgress`).
 
-### Standard Tool Execution Pattern
+### Standard Tool Execution Pattern with Path Normalization (Updated)
 
-The `execute` method within each MCP tool (in `mcp-server/src/tools/*.js`) should follow this standard pattern:
+To ensure consistent handling of project paths across different client environments (Windows, macOS, Linux, WSL) and input formats (e.g., `file:///...`, URI encoded paths), all MCP tool `execute` methods that require access to the project root **MUST** be wrapped with the `withNormalizedProjectRoot` Higher-Order Function (HOF).
 
-1.  **Log Entry**: Log the start of the tool execution with relevant arguments.
-2.  **Get Project Root**: Use the `getProjectRootFromSession(session, log)` utility (from [`tools/utils.js`](mdc:mcp-server/src/tools/utils.js)) to extract the project root path from the client session. Fall back to `args.projectRoot` if the session doesn't provide a root.
-3.  **Call Direct Function**: Invoke the corresponding `*Direct` function wrapper (e.g., `listTasksDirect` from [`task-master-core.js`](mdc:mcp-server/src/core/task-master-core.js)), passing an updated `args` object that includes the resolved `projectRoot`. Crucially, the third argument (context) passed to the direct function should **only include `{ log, session }`**. **Do NOT pass `reportProgress`**.
-    ```javascript
-    // Example call to a non-AI direct function
-    const result = await someDirectFunction({ ...args, projectRoot }, log); 
-    
-    // Example call to an AI-based direct function
-    const resultAI = await someAIDirect({ ...args, projectRoot }, log, { session }); 
-    ```
-4.  **Handle Result**: Receive the result object (`{ success, data/error, fromCache }`) from the `*Direct` function.
-5.  **Format Response**: Pass this result object to the `handleApiResult` utility (from [`tools/utils.js`](mdc:mcp-server/src/tools/utils.js)) for standardized MCP response formatting and error handling.
-6.  **Return**: Return the formatted response object provided by `handleApiResult`.
+This HOF, defined in [`mcp-server/src/tools/utils.js`](mdc:mcp-server/src/tools/utils.js), performs the following before calling the tool's core logic:
+
+1.  **Determines the Raw Root:** It prioritizes `args.projectRoot` if provided by the client, otherwise it calls `getRawProjectRootFromSession` to extract the path from the session.
+2.  **Normalizes the Path:** It uses the `normalizeProjectRoot` helper to decode URIs, strip `file://` prefixes, fix potential Windows drive letter prefixes (e.g., `/C:/`), convert backslashes (`\`) to forward slashes (`/`), and resolve the path to an absolute path suitable for the server's OS.
+3.  **Injects Normalized Path:** It updates the `args` object by replacing the original `projectRoot` (or adding it) with the normalized, absolute path.
+4.  **Executes Original Logic:** It calls the original `execute` function body, passing the updated `args` object.
+
+**Implementation Example:**
 
 ```javascript
-// Example execute method structure for a tool calling an AI-based direct function
-import { getProjectRootFromSession, handleApiResult, createErrorResponse } from './utils.js';
-import { someAIDirectFunction } from '../core/task-master-core.js';
+// In mcp-server/src/tools/your-tool.js
+import {
+    handleApiResult,
+    createErrorResponse,
+    withNormalizedProjectRoot // <<< Import HOF
+} from './utils.js';
+import { yourDirectFunction } from '../core/task-master-core.js';
+import { findTasksJsonPath } from '../core/utils/path-utils.js'; // If needed
 
-// ... inside server.addTool({...})
-execute: async (args, { log, session }) => { // Note: reportProgress is omitted here
-  try {
-    log.info(`Starting AI tool execution with args: ${JSON.stringify(args)}`);
+export function registerYourTool(server) {
+    server.addTool({
+        name: "your_tool",
+        description: "...".
+        parameters: z.object({
+            // ... other parameters ...
+            projectRoot: z.string().optional().describe('...') // projectRoot is optional here, HOF handles fallback
+        }),
+        // Wrap the entire execute function
+        execute: withNormalizedProjectRoot(async (args, { log, session }) => {
+            // args.projectRoot is now guaranteed to be normalized and absolute
+            const { /* other args */, projectRoot } = args;
 
-    // 1. Get Project Root
-    let rootFolder = getProjectRootFromSession(session, log);
-    if (!rootFolder && args.projectRoot) { // Fallback if needed
-      rootFolder = args.projectRoot;
-      log.info(`Using project root from args as fallback: ${rootFolder}`);
-    }
+            try {
+                log.info(`Executing your_tool with normalized root: ${projectRoot}`);
 
-    // 2. Call AI-Based Direct Function (passing only log and session in context)
-    const result = await someAIDirectFunction({
-      ...args,
-      projectRoot: rootFolder // Ensure projectRoot is explicitly passed
-    }, log, { session }); // Pass session here, NO reportProgress
+                // Resolve paths using the normalized projectRoot
+                let tasksPath = findTasksJsonPath({ projectRoot, file: args.file }, log);
 
-    // 3. Handle and Format Response
-    return handleApiResult(result, log);
+                // Call direct function, passing normalized projectRoot if needed by direct func
+                const result = await yourDirectFunction(
+                    {
+                        /* other args */,
+                        projectRoot // Pass it if direct function needs it
+                    },
+                    log,
+                    { session }
+                );
 
-  } catch (error) {
-    log.error(`Error during AI tool execution: ${error.message}`);
-    return createErrorResponse(error.message);
-  }
+                return handleApiResult(result, log);
+            } catch (error) {
+                log.error(`Error in your_tool: ${error.message}`);
+                return createErrorResponse(error.message);
+            }
+        }) // End HOF wrap
+    });
 }
 ```
 
-### Using AsyncOperationManager for Background Tasks
-
-For tools that execute potentially long-running operations *where the AI call is just one part* (e.g., `expand-task`, `update`), use the AsyncOperationManager. The `add-task` command, as refactored, does *not* require this in the MCP tool layer because the direct function handles the primary AI work and returns the final result synchronously from the perspective of the MCP tool.
-
-For tools that *do* use `AsyncOperationManager`:
-
-```javascript
-import { AsyncOperationManager } from '../utils/async-operation-manager.js'; // Correct path assuming utils location
-import { getProjectRootFromSession, createContentResponse, createErrorResponse } from './utils.js';
-import { someIntensiveDirect } from '../core/task-master-core.js';
-
-// ... inside server.addTool({...})
-execute: async (args, { log, session }) => { // Note: reportProgress omitted
-  try {
-    log.info(`Starting background operation with args: ${JSON.stringify(args)}`);
-
-    // 1. Get Project Root
-    let rootFolder = getProjectRootFromSession(session, log);
-    if (!rootFolder && args.projectRoot) {
-      rootFolder = args.projectRoot;
-      log.info(`Using project root from args as fallback: ${rootFolder}`);
-    }
-    
-    // Create operation description
-    const operationDescription = `Expanding task ${args.id}...`; // Example
-
-    // 2. Start async operation using AsyncOperationManager
-    const operation = AsyncOperationManager.createOperation(
-      operationDescription,
-      async (reportProgressCallback) => { // This callback is provided by AsyncOperationManager
-        // This runs in the background
-        try {
-          // Report initial progress *from the manager's callback*
-          reportProgressCallback({ progress: 0, status: 'Starting operation...' });
-
-          // Call the direct function (passing only session context)
-          const result = await someIntensiveDirect(
-            { ...args, projectRoot: rootFolder }, 
-            log, 
-            { session } // Pass session, NO reportProgress
-          );
-
-          // Report final progress *from the manager's callback*
-          reportProgressCallback({
-            progress: 100,
-            status: result.success ? 'Operation completed' : 'Operation failed',
-            result: result.data, // Include final data if successful
-            error: result.error   // Include error object if failed
-          });
-
-          return result; // Return the direct function's result
-        } catch (error) {
-          // Handle errors within the async task
-           reportProgressCallback({
-            progress: 100,
-            status: 'Operation failed critically',
-            error: { message: error.message, code: error.code || 'ASYNC_OPERATION_FAILED' }
-          });
-          throw error; // Re-throw for the manager to catch
-        }
-      }
-    );
-
-    // 3. Return immediate response with operation ID
-    return {
-        status: 202, // StatusCodes.ACCEPTED
-        body: {
-            success: true,
-            message: 'Operation started',
-            operationId: operation.id
-        }
-    };
-  } catch (error) {
-    log.error(`Error starting background operation: ${error.message}`);
-    return createErrorResponse(`Failed to start operation: ${error.message}`); // Use standard error response
-  }
-}
-```
+By using this HOF, the core logic within the `execute` method and any downstream functions (like `findTasksJsonPath` or direct functions) can reliably expect `args.projectRoot` to be a clean, absolute path suitable for the server environment.
 
 ### Project Initialization Tool
 
@@ -417,19 +302,13 @@ log.error(`Error occurred: ${error.message}`, { stack: error.stack });
 log.info('Progress: 50% - AI call initiated...'); // Example progress logging
 ```
 
-### Progress Reporting Convention
-
-- ⚠️ **DEPRECATED within Direct Functions**: The `reportProgress` function passed in the `context` object should **NOT** be called from within `*Direct` functions. Doing so can cause client-side validation errors due to missing/incorrect `progressToken` handling.
-- ✅ **DO**: For tools using `AsyncOperationManager`, use the `reportProgressCallback` function *provided by the manager* within the background task definition (as shown in the `AsyncOperationManager` example above) to report progress updates for the *overall operation*.
-- ✅ **DO**: If finer-grained progress needs to be indicated *during* the execution of a `*Direct` function (whether called directly or via `AsyncOperationManager`), use `log.info()` statements (e.g., `log.info('Progress: Parsing AI response...')`).
-
-### Session Usage Convention
+## Session Usage Convention
 
 The `session` object (destructured from `context`) contains authenticated session data and client information.
 
 - **Authentication**: Access user-specific data (`session.userId`, etc.) if authentication is implemented.
 - **Project Root**: The primary use in Task Master is accessing `session.roots` to determine the client's project root directory via the `getProjectRootFromSession` utility (from [`tools/utils.js`](mdc:mcp-server/src/tools/utils.js)). See the Standard Tool Execution Pattern above.
-- **Environment Variables**: The `session.env` object is critical for AI tools. Pass the `session` object to the `*Direct` function's context, and then to AI client utility functions (like `getAnthropicClientForMCP`) which will extract API keys and other relevant environment settings (e.g., `MODEL`, `MAX_TOKENS`) from `session.env`.
+- **Environment Variables**: The `session.env` object provides access to environment variables set in the MCP client configuration (e.g., `.cursor/mcp.json`). This is the **primary mechanism** for the unified AI service layer (`ai-services-unified.js`) to securely access **API keys** when called from MCP context.
 - **Capabilities**: Can be used to check client capabilities (`session.clientCapabilities`).
 
 ## Direct Function Wrappers (`*Direct`)
@@ -438,24 +317,25 @@ These functions, located in `mcp-server/src/core/direct-functions/`, form the co
 
 - **Purpose**: Bridge MCP tools and core Task Master modules (`scripts/modules/*`). Handle AI interactions if applicable.
 - **Responsibilities**:
-  - Receive `args` (including the `projectRoot` determined by the tool), `log` object, and optionally a `context` object (containing **only `{ session }` if needed).
-  - **Find `tasks.json`**: Use `findTasksJsonPath(args, log)` from [`core/utils/path-utils.js`](mdc:mcp-server/src/core/utils/path-utils.js).
-  - Validate arguments specific to the core logic.
-  - **Handle AI Logic (if applicable)**: Initialize AI clients (using `session` from context), build prompts, make AI calls, parse responses.
-  - **Implement Caching (if applicable)**: Use `getCachedOrExecute` from [`tools/utils.js`](mdc:mcp-server/src/tools/utils.js) for read operations.
-  - **Call Core Logic**: Call the underlying function from the core Task Master modules, passing necessary data (including AI results if applicable).
-    - ✅ **DO**: Pass `outputFormat: 'json'` (or similar) to the core function if it might produce console output.
-    - ✅ **DO**: Wrap the core function call with `enableSilentMode/disableSilentMode` if necessary.
-  - Handle errors gracefully (AI errors, core logic errors, file errors).
-  - Return a standardized result object: `{ success: boolean, data?: any, error?: { code: string, message: string }, fromCache?: boolean }`.
-  - ❌ **DON'T**: Call `reportProgress`. Use `log.info` for progress indication if needed.
+  - Receive `args` (including `projectRoot`), `log`, and optionally `{ session }` context.
+  - Find `tasks.json` using `findTasksJsonPath`.
+  - Validate arguments.
+  - **Implement Caching (if applicable)**: Use `getCachedOrExecute`.
+  - **Call Core Logic**: Invoke function from `scripts/modules/*`.
+    - Pass `outputFormat: 'json'` if applicable.
+    - Wrap with `enableSilentMode/disableSilentMode` if needed.
+    - Pass `{ mcpLog: logWrapper, session }` context if core logic needs it.
+  - Handle errors.
+  - Return standardized result object.
+  - ❌ **DON'T**: Call `reportProgress`.
+  - ❌ **DON'T**: Initialize AI clients or call AI services directly.
 
 ## Key Principles
 
 - **Prefer Direct Function Calls**: MCP tools should always call `*Direct` wrappers instead of `executeTaskMasterCommand`.
 - **Standardized Execution Flow**: Follow the pattern: MCP Tool -> `getProjectRootFromSession` -> `*Direct` Function -> Core Logic / AI Logic.
 - **Path Resolution via Direct Functions**: The `*Direct` function is responsible for finding the exact `tasks.json` path using `findTasksJsonPath`, relying on the `projectRoot` passed in `args`.
-- **AI Logic in Direct Functions**: For AI-based tools, the `*Direct` function handles AI client initialization, calls, and parsing, using the `session` object passed in its context.
+- **AI Logic in Core Modules**: AI interactions (prompt building, calling unified service) reside within the core logic functions (`scripts/modules/*`), not direct functions.
 - **Silent Mode in Direct Functions**: Wrap *core function* calls (from `scripts/modules`) with `enableSilentMode()` and `disableSilentMode()` if they produce console output not handled by `outputFormat`. Do not wrap AI calls.
 - **Selective Async Processing**: Use `AsyncOperationManager` in the *MCP Tool layer* for operations involving multiple steps or long waits beyond a single AI call (e.g., file processing + AI call + file writing). Simple AI calls handled entirely within the `*Direct` function (like `addTaskDirect`) may not need it at the tool layer.
 - **No `reportProgress` in Direct Functions**: Do not pass or use `reportProgress` within `*Direct` functions. Use `log.info()` for internal progress or report progress from the `AsyncOperationManager` callback in the MCP tool layer.
@@ -480,7 +360,7 @@ Follow these steps to add MCP support for an existing Task Master command (see [
 
 1.  **Ensure Core Logic Exists**: Verify the core functionality is implemented and exported from the relevant module in `scripts/modules/`. Ensure the core function can suppress console output (e.g., via an `outputFormat` parameter).
 
-2.  **Create Direct Function File in `mcp-server/src/core/direct-functions/`**:
+2. **Create Direct Function File in `mcp-server/src/core/direct-functions/`**:
     - Create a new file (e.g., `your-command.js`) using **kebab-case** naming.
     - Import necessary core functions, `findTasksJsonPath`, silent mode utilities, and potentially AI client/prompt utilities.
     - Implement `async function yourCommandDirect(args, log, context = {})` using **camelCase** with `Direct` suffix. **Remember `context` should only contain `{ session }` if needed (for AI keys/config).**
@@ -642,3 +522,8 @@ Follow these steps to add MCP support for an existing Task Master command (see [
       // Add more functions as implemented
     };
     ```
+
+## Telemetry Integration
+
+- Direct functions calling core logic that involves AI should receive and pass through `telemetryData` within their successful `data` payload. See [`telemetry.mdc`](mdc:.cursor/rules/telemetry.mdc) for the standard pattern.
+- MCP tools use `handleApiResult`, which ensures the `data` object (potentially including `telemetryData`) from the direct function is correctly included in the final response.

.cursor/rules/new_features.mdc

@@ -3,7 +3,6 @@ description: Guidelines for integrating new features into the Task Master CLI
 globs: scripts/modules/*.js
 alwaysApply: false
 ---
-
 # Task Master Feature Integration Guidelines
 
 ## Feature Placement Decision Process
@@ -25,11 +24,22 @@ alwaysApply: false
 The standard pattern for adding a feature follows this workflow:
 
 1. **Core Logic**: Implement the business logic in the appropriate module (e.g., [`task-manager.js`](mdc:scripts/modules/task-manager.js)).
-2. **UI Components**: Add any display functions to [`ui.js`](mdc:scripts/modules/ui.js) following [`ui.mdc`](mdc:.cursor/rules/ui.mdc).
-3. **Command Integration**: Add the CLI command to [`commands.js`](mdc:scripts/modules/commands.js) following [`commands.mdc`](mdc:.cursor/rules/commands.mdc).
-4. **Testing**: Write tests for all components of the feature (following [`tests.mdc`](mdc:.cursor/rules/tests.mdc))
-5. **Configuration**: Update any configuration in [`utils.js`](mdc:scripts/modules/utils.js) if needed, following [`utilities.mdc`](mdc:.cursor/rules/utilities.mdc).
-6. **Documentation**: Update help text and documentation in [dev_workflow.mdc](mdc:scripts/modules/dev_workflow.mdc)
+2. **Context Gathering (If Applicable)**: 
+   - For AI-powered commands that benefit from project context, use the standardized context gathering patterns from [`context_gathering.mdc`](mdc:.cursor/rules/context_gathering.mdc).
+   - Import `ContextGatherer` and `FuzzyTaskSearch` utilities for reusable context extraction.
+   - Support multiple context types: tasks, files, custom text, project tree.
+   - Implement detailed token breakdown display for transparency.
+3. **AI Integration (If Applicable)**: 
+   - Import necessary service functions (e.g., `generateTextService`, `streamTextService`) from [`ai-services-unified.js`](mdc:scripts/modules/ai-services-unified.js).
+   - Prepare parameters (`role`, `session`, `systemPrompt`, `prompt`).
+   - Call the service function.
+   - Handle the response (direct text or stream object).
+   - **Important**: Prefer `generateTextService` for calls sending large context (like stringified JSON) where incremental display is not needed. See [`ai_services.mdc`](mdc:.cursor/rules/ai_services.mdc) for detailed usage patterns and cautions.
+4. **UI Components**: Add any display functions to [`ui.js`](mdc:scripts/modules/ui.js) following [`ui.mdc`](mdc:.cursor/rules/ui.mdc). Consider enhanced formatting with syntax highlighting for code blocks.
+5. **Command Integration**: Add the CLI command to [`commands.js`](mdc:scripts/modules/commands.js) following [`commands.mdc`](mdc:.cursor/rules/commands.mdc).
+6. **Testing**: Write tests for all components of the feature (following [`tests.mdc`](mdc:.cursor/rules/tests.mdc))
+7. **Configuration**: Update configuration settings or add new ones in [`config-manager.js`](mdc:scripts/modules/config-manager.js) and ensure getters/setters are appropriate. Update documentation in [`utilities.mdc`](mdc:.cursor/rules/utilities.mdc) and [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc). Update the `.taskmasterconfig` structure if needed.
+8. **Documentation**: Update help text and documentation in [`dev_workflow.mdc`](mdc:.cursor/rules/dev_workflow.mdc) and [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc).
 
 ## Critical Checklist for New Features
 
@@ -190,6 +200,8 @@ The standard pattern for adding a feature follows this workflow:
   - ✅ **DO**: If an MCP tool fails with vague errors (e.g., JSON parsing issues like `Unexpected token ... is not valid JSON`), **try running the equivalent CLI command directly in the terminal** (e.g., `task-master expand --all`). CLI output often provides much more specific error messages (like missing function definitions or stack traces from the core logic) that pinpoint the root cause.
   - ❌ **DON'T**: Rely solely on MCP logs if the error is unclear; use the CLI as a complementary debugging tool for core logic issues.
 
+- **Telemetry Integration**: Ensure AI calls correctly handle and propagate `telemetryData` as described in [`telemetry.mdc`](mdc:.cursor/rules/telemetry.mdc).
+
 ```javascript
 // 1. CORE LOGIC: Add function to appropriate module (example in task-manager.js)
 /**
@@ -211,7 +223,29 @@ export {
 ```
 
 ```javascript
-// 2. UI COMPONENTS: Add display function to ui.js
+// 2. AI Integration: Add import and use necessary service functions
+import { generateTextService } from './ai-services-unified.js';
+
+// Example usage:
+async function handleAIInteraction() {
+  const role = 'user';
+  const session = 'exampleSession';
+  const systemPrompt = 'You are a helpful assistant.';
+  const prompt = 'What is the capital of France?';
+
+  const result = await generateTextService(role, session, systemPrompt, prompt);
+  console.log(result);
+}
+
+// Export from the module
+export {
+  // ... existing exports ...
+  handleAIInteraction,
+};
+```
+
+```javascript
+// 3. UI COMPONENTS: Add display function to ui.js
 /**
  * Display archive operation results
  * @param {string} archivePath - Path to the archive file
@@ -232,7 +266,7 @@ export {
 ```
 
 ```javascript
-// 3. COMMAND INTEGRATION: Add to commands.js
+// 4. COMMAND INTEGRATION: Add to commands.js
 import { archiveTasks } from './task-manager.js';
 import { displayArchiveResults } from './ui.js';
 
@@ -452,7 +486,7 @@ npm test
 For each new feature:
 
 1. Add help text to the command definition
-2. Update [`dev_workflow.mdc`](mdc:scripts/modules/dev_workflow.mdc) with command reference
+2. Update [`dev_workflow.mdc`](mdc:.cursor/rules/dev_workflow.mdc) with command reference
 3. Consider updating [`architecture.mdc`](mdc:.cursor/rules/architecture.mdc) if the feature significantly changes module responsibilities.
 
 Follow the existing command reference format:
@@ -495,14 +529,24 @@ Integrating Task Master commands with the MCP server (for use by tools like Curs
 
 4.  **Create MCP Tool (`mcp-server/src/tools/`)**:
     - Create a new file (e.g., `your-command.js`) using **kebab-case**.
-    - Import `zod`, `handleApiResult`, `createErrorResponse`, **`getProjectRootFromSession`**, and your `yourCommandDirect` function.
+    - Import `zod`, `handleApiResult`, **`withNormalizedProjectRoot` HOF**, and your `yourCommandDirect` function.
     - Implement `registerYourCommandTool(server)`.
-    - Define the tool `name` using **snake_case** (e.g., `your_command`).
-    - Define the `parameters` using `zod`. **Crucially, define `projectRoot` as optional**: `projectRoot: z.string().optional().describe(...)`. Include `file` if applicable.
-    - Implement the standard `async execute(args, { log, reportProgress, session })` method:
-      - Get `rootFolder` using `getProjectRootFromSession` (with fallback to `args.projectRoot`).
-      - Call `yourCommandDirect({ ...args, projectRoot: rootFolder }, log)`. 
-      - Pass the result to `handleApiResult(result, log, 'Error Message')`.
+    - **Define parameters**: Make `projectRoot` optional (`z.string().optional().describe(...)`) as the HOF handles fallback.
+    - Consider if this operation should run in the background using `AsyncOperationManager`.
+    - Implement the standard `execute` method **wrapped with `withNormalizedProjectRoot`**:
+      ```javascript
+      execute: withNormalizedProjectRoot(async (args, { log, session }) => {
+          // args.projectRoot is now normalized
+          const { projectRoot /*, other args */ } = args;
+          // ... resolve tasks path if needed using normalized projectRoot ...
+          const result = await yourCommandDirect(
+              { /* other args */, projectRoot /* if needed by direct func */ }, 
+              log, 
+              { session }
+          );
+          return handleApiResult(result, log);
+      })
+      ```
 
 5.  **Register Tool**: Import and call `registerYourCommandTool` in `mcp-server/src/tools/index.js`.
 
@@ -590,3 +634,287 @@ When implementing project initialization commands:
      });
    }
    ```
+
+## Feature Planning
+
+- **Core Logic First**:
+  - ✅ DO: Implement core logic in `scripts/modules/` before CLI or MCP interfaces
+  - ✅ DO: Consider tagged task lists system compatibility from the start
+  - ✅ DO: Design functions to work with both legacy and tagged data formats
+  - ✅ DO: Use tag resolution functions (`getTasksForTag`, `setTasksForTag`) for task data access
+  - ❌ DON'T: Directly manipulate tagged data structure in new features
+
+  ```javascript
+  // ✅ DO: Design tagged-aware core functions
+  async function newFeatureCore(tasksPath, featureParams, options = {}) {
+    const tasksData = readJSON(tasksPath);
+    const currentTag = getCurrentTag() || 'master';
+    const tasks = getTasksForTag(tasksData, currentTag);
+    
+    // Perform feature logic on tasks array
+    const result = performFeatureLogic(tasks, featureParams);
+    
+    // Save back using tag resolution
+    setTasksForTag(tasksData, currentTag, tasks);
+    writeJSON(tasksPath, tasksData);
+    
+    return result;
+  }
+  ```
+
+- **Backward Compatibility**:
+  - ✅ DO: Ensure new features work with existing projects seamlessly
+  - ✅ DO: Test with both legacy and tagged task data formats
+  - ✅ DO: Support silent migration during feature usage
+  - ❌ DON'T: Break existing workflows when adding tagged system features
+
+## CLI Command Implementation
+
+- **Command Structure**:
+  - ✅ DO: Follow the established pattern in [`commands.js`](mdc:scripts/modules/commands.js)
+  - ✅ DO: Use Commander.js for argument parsing
+  - ✅ DO: Include comprehensive help text and examples
+  - ✅ DO: Support tagged task context awareness
+
+  ```javascript
+  // ✅ DO: Implement CLI commands with tagged system awareness
+  program
+    .command('new-feature')
+    .description('Description of the new feature with tagged task lists support')
+    .option('-t, --tag <tag>', 'Specify tag context (defaults to current tag)')
+    .option('-p, --param <value>', 'Feature-specific parameter')
+    .option('--force', 'Force operation without confirmation')
+    .action(async (options) => {
+      try {
+        const projectRoot = findProjectRoot();
+        if (!projectRoot) {
+          console.error('Not in a Task Master project directory');
+          process.exit(1);
+        }
+        
+        // Use specified tag or current tag
+        const targetTag = options.tag || getCurrentTag() || 'master';
+        
+        const result = await newFeatureCore(
+          path.join(projectRoot, '.taskmaster', 'tasks', 'tasks.json'),
+          { param: options.param },
+          { 
+            force: options.force,
+            targetTag: targetTag,
+            outputFormat: 'text'
+          }
+        );
+        
+        console.log('Feature executed successfully');
+      } catch (error) {
+        console.error(`Error: ${error.message}`);
+        process.exit(1);
+      }
+    });
+  ```
+
+- **Error Handling**:
+  - ✅ DO: Provide clear error messages for common failures
+  - ✅ DO: Handle tagged system migration errors gracefully
+  - ✅ DO: Include suggestion for resolution when possible
+  - ✅ DO: Exit with appropriate codes for scripting
+
+## MCP Tool Implementation
+
+- **Direct Function Pattern**:
+  - ✅ DO: Create direct function wrappers in `mcp-server/src/core/direct-functions/`
+  - ✅ DO: Follow silent mode patterns to prevent console output interference
+  - ✅ DO: Use `findTasksJsonPath` for consistent path resolution
+  - ✅ DO: Ensure tagged system compatibility
+
+  ```javascript
+  // ✅ DO: Implement MCP direct functions with tagged awareness
+  export async function newFeatureDirect(args, log, context = {}) {
+    try {
+      const tasksPath = findTasksJsonPath(args, log);
+      
+      // Enable silent mode for clean MCP responses
+      enableSilentMode();
+      
+      try {
+        const result = await newFeatureCore(
+          tasksPath,
+          { param: args.param },
+          { 
+            force: args.force,
+            targetTag: args.tag || 'master', // Support tag specification
+            mcpLog: log,
+            session: context.session,
+            outputFormat: 'json'
+          }
+        );
+        
+        return {
+          success: true,
+          data: result,
+          fromCache: false
+        };
+      } finally {
+        disableSilentMode();
+      }
+    } catch (error) {
+      log.error(`Error in newFeatureDirect: ${error.message}`);
+      return {
+        success: false,
+        error: { code: 'FEATURE_ERROR', message: error.message },
+        fromCache: false
+      };
+    }
+  }
+  ```
+
+- **Tool Registration**:
+  - ✅ DO: Create tool definitions in `mcp-server/src/tools/`
+  - ✅ DO: Use Zod for parameter validation
+  - ✅ DO: Include optional tag parameter for multi-context support
+  - ✅ DO: Follow established naming conventions
+
+  ```javascript
+  // ✅ DO: Register MCP tools with tagged system support
+  export function registerNewFeatureTool(server) {
+    server.addTool({
+      name: "new_feature",
+      description: "Description of the new feature with tagged task lists support",
+      inputSchema: z.object({
+        param: z.string().describe("Feature-specific parameter"),
+        tag: z.string().optional().describe("Target tag context (defaults to current tag)"),
+        force: z.boolean().optional().describe("Force operation without confirmation"),
+        projectRoot: z.string().optional().describe("Project root directory")
+      }),
+      execute: withNormalizedProjectRoot(async (args, { log, session }) => {
+        try {
+          const result = await newFeatureDirect(
+            { ...args, projectRoot: args.projectRoot },
+            log,
+            { session }
+          );
+          return handleApiResult(result, log);
+        } catch (error) {
+          return handleApiResult({
+            success: false,
+            error: { code: 'EXECUTION_ERROR', message: error.message }
+          }, log);
+        }
+      })
+    });
+  }
+  ```
+
+## Testing Strategy
+
+- **Unit Tests**:
+  - ✅ DO: Test core logic independently with both data formats
+  - ✅ DO: Mock file system operations appropriately
+  - ✅ DO: Test tag resolution behavior
+  - ✅ DO: Verify migration compatibility
+
+  ```javascript
+  // ✅ DO: Test new features with tagged system awareness
+  describe('newFeature', () => {
+    beforeEach(() => {
+      jest.clearAllMocks();
+    });
+    
+    it('should work with legacy task format', async () => {
+      const legacyData = { tasks: [/* test data */] };
+      fs.readFileSync.mockReturnValue(JSON.stringify(legacyData));
+      
+      const result = await newFeatureCore('/test/tasks.json', { param: 'test' });
+      
+      expect(result).toBeDefined();
+      // Test legacy format handling
+    });
+    
+    it('should work with tagged task format', async () => {
+      const taggedData = { 
+        master: { tasks: [/* test data */] },
+        feature: { tasks: [/* test data */] }
+      };
+      fs.readFileSync.mockReturnValue(JSON.stringify(taggedData));
+      
+      const result = await newFeatureCore('/test/tasks.json', { param: 'test' });
+      
+      expect(result).toBeDefined();
+      // Test tagged format handling
+    });
+    
+    it('should handle tag migration during feature usage', async () => {
+      const legacyData = { tasks: [/* test data */] };
+      fs.readFileSync.mockReturnValue(JSON.stringify(legacyData));
+      
+      await newFeatureCore('/test/tasks.json', { param: 'test' });
+      
+      // Verify migration occurred
+      expect(fs.writeFileSync).toHaveBeenCalledWith(
+        '/test/tasks.json',
+        expect.stringContaining('"master"')
+      );
+    });
+  });
+  ```
+
+- **Integration Tests**:
+  - ✅ DO: Test CLI and MCP interfaces with real task data
+  - ✅ DO: Verify end-to-end workflows across tag contexts
+  - ✅ DO: Test error scenarios and recovery
+
+## Documentation Updates
+
+- **Rule Updates**:
+  - ✅ DO: Update relevant `.cursor/rules/*.mdc` files
+  - ✅ DO: Include tagged system considerations in architecture docs
+  - ✅ DO: Add examples showing multi-context usage
+  - ✅ DO: Update workflow documentation as needed
+
+- **User Documentation**:
+  - ✅ DO: Add feature documentation to `/docs` folder
+  - ✅ DO: Include tagged system usage examples
+  - ✅ DO: Update command reference documentation
+  - ✅ DO: Provide migration notes if relevant
+
+## Migration Considerations
+
+- **Silent Migration Support**:
+  - ✅ DO: Ensure new features trigger migration when needed
+  - ✅ DO: Handle migration errors gracefully in feature code
+  - ✅ DO: Test feature behavior with pre-migration projects
+  - ❌ DON'T: Assume projects are already migrated
+
+- **Tag Context Handling**:
+  - ✅ DO: Default to current tag when not specified
+  - ✅ DO: Support explicit tag selection in advanced features
+  - ✅ DO: Validate tag existence before operations
+  - ✅ DO: Provide clear messaging about tag context
+
+## Performance Considerations
+
+- **Efficient Tag Operations**:
+  - ✅ DO: Minimize file I/O operations per feature execution
+  - ✅ DO: Cache tag resolution results when appropriate
+  - ✅ DO: Use streaming for large task datasets
+  - ❌ DON'T: Load all tags when only one is needed
+
+- **Memory Management**:
+  - ✅ DO: Process large task lists efficiently
+  - ✅ DO: Clean up temporary data structures
+  - ✅ DO: Avoid keeping all tag data in memory simultaneously
+
+## Deployment and Versioning
+
+- **Changesets**:
+  - ✅ DO: Create appropriate changesets for new features
+  - ✅ DO: Use semantic versioning (minor for new features)
+  - ✅ DO: Include tagged system information in release notes
+  - ✅ DO: Document breaking changes if any
+
+- **Feature Flags**:
+  - ✅ DO: Consider feature flags for experimental functionality
+  - ✅ DO: Ensure tagged system features work with flags
+  - ✅ DO: Provide clear documentation about flag usage
+
+By following these guidelines, new features will integrate smoothly with the Task Master ecosystem while supporting the enhanced tagged task lists system for multi-context development workflows.

.cursor/rules/self_improve.mdc

@@ -69,5 +69,4 @@ alwaysApply: true
   - Update references to external docs
   - Maintain links between related rules
   - Document breaking changes
-
-Follow [cursor_rules.mdc](mdc:.cursor/rules/cursor_rules.mdc) for proper rule formatting and structure.
+Follow [cursor_rules.mdc](mdc:.cursor/rules/cursor_rules.mdc) for proper rule formatting and structure.

.cursor/rules/tags.mdc

@@ -0,0 +1,229 @@
+---
+description: 
+globs: scripts/modules/*
+alwaysApply: false
+---
+# Tagged Task Lists Command Patterns
+
+This document outlines the standardized patterns that **ALL** Task Master commands must follow to properly support the tagged task lists system.
+
+## Core Principles
+
+- **Every command** that reads or writes tasks.json must be tag-aware
+- **Consistent tag resolution** across all commands using `getCurrentTag(projectRoot)`
+- **Proper context passing** to core functions with `{ projectRoot, tag }`
+- **Standardized CLI options** with `--tag <tag>` flag
+
+## Required Imports
+
+All command files must import `getCurrentTag`:
+
+```javascript
+// ✅ DO: Import getCurrentTag in commands.js
+import { 
+  log, 
+  readJSON, 
+  writeJSON, 
+  findProjectRoot, 
+  getCurrentTag 
+} from './utils.js';
+
+// ✅ DO: Import getCurrentTag in task-manager files
+import { 
+  readJSON, 
+  writeJSON, 
+  getCurrentTag 
+} from '../utils.js';
+```
+
+## CLI Command Pattern
+
+Every CLI command that operates on tasks must follow this exact pattern:
+
+```javascript
+// ✅ DO: Standard tag-aware CLI command pattern
+programInstance
+  .command('command-name')
+  .description('Command description')
+  .option('-f, --file <file>', 'Path to the tasks file', TASKMASTER_TASKS_FILE)
+  .option('--tag <tag>', 'Specify tag context for task operations') // REQUIRED
+  .action(async (options) => {
+    // 1. Find project root
+    const projectRoot = findProjectRoot();
+    if (!projectRoot) {
+      console.error(chalk.red('Error: Could not find project root.'));
+      process.exit(1);
+    }
+
+    // 2. Resolve tag using standard pattern
+    const tag = options.tag || getCurrentTag(projectRoot) || 'master';
+
+    // 3. Call core function with proper context
+    await coreFunction(
+      tasksPath,
+      // ... other parameters ...
+      { projectRoot, tag } // REQUIRED context object
+    );
+  });
+```
+
+## Core Function Pattern
+
+All core functions in `scripts/modules/task-manager/` must follow this pattern:
+
+```javascript
+// ✅ DO: Standard tag-aware core function pattern
+async function coreFunction(
+  tasksPath,
+  // ... other parameters ...
+  context = {} // REQUIRED context parameter
+) {
+  const { projectRoot, tag } = context;
+  
+  // Use tag-aware readJSON/writeJSON
+  const data = readJSON(tasksPath, projectRoot, tag);
+  
+  // ... function logic ...
+  
+  writeJSON(tasksPath, data, projectRoot, tag);
+}
+```
+
+## Tag Resolution Priority
+
+The tag resolution follows this exact priority order:
+
+1. **Explicit `--tag` flag**: `options.tag`
+2. **Current active tag**: `getCurrentTag(projectRoot)`  
+3. **Default fallback**: `'master'`
+
+```javascript
+// ✅ DO: Standard tag resolution pattern
+const tag = options.tag || getCurrentTag(projectRoot) || 'master';
+```
+
+## Commands Requiring Updates
+
+### High Priority (Core Task Operations)
+- [x] `add-task` - ✅ Fixed
+- [x] `list` - ✅ Fixed  
+- [x] `update-task` - ✅ Fixed
+- [x] `update-subtask` - ✅ Fixed
+- [x] `set-status` - ✅ Already correct
+- [x] `remove-task` - ✅ Already correct
+- [x] `remove-subtask` - ✅ Fixed
+- [x] `add-subtask` - ✅ Already correct
+- [x] `clear-subtasks` - ✅ Fixed
+- [x] `move-task` - ✅ Already correct
+
+### Medium Priority (Analysis & Expansion)
+- [x] `expand` - ✅ Fixed
+- [ ] `next` - ✅ Fixed
+- [ ] `show` (get-task) - Needs checking
+- [ ] `analyze-complexity` - Needs checking
+- [ ] `generate` - ✅ Fixed
+
+### Lower Priority (Utilities)
+- [ ] `research` - Needs checking
+- [ ] `complexity-report` - Needs checking
+- [ ] `validate-dependencies` - ✅ Fixed
+- [ ] `fix-dependencies` - ✅ Fixed
+- [ ] `add-dependency` - ✅ Fixed
+- [ ] `remove-dependency` - ✅ Fixed
+
+## MCP Integration Pattern
+
+MCP direct functions must also follow the tag-aware pattern:
+
+```javascript
+// ✅ DO: Tag-aware MCP direct function
+export async function coreActionDirect(args, log, context = {}) {
+  const { session } = context;
+  const { projectRoot, tag } = args; // MCP passes these in args
+  
+  try {
+    const result = await coreAction(
+      tasksPath,
+      // ... other parameters ...
+      { projectRoot, tag, session, mcpLog: logWrapper }
+    );
+    
+    return { success: true, data: result };
+  } catch (error) {
+    return { success: false, error: { code: 'ERROR_CODE', message: error.message } };
+  }
+}
+```
+
+## File Generation Tag-Aware Naming
+
+The `generate` command must use tag-aware file naming:
+
+```javascript
+// ✅ DO: Tag-aware file naming
+const taskFileName = targetTag === 'master' 
+  ? `task_${task.id.toString().padStart(3, '0')}.txt`
+  : `task_${task.id.toString().padStart(3, '0')}_${targetTag}.txt`;
+```
+
+**Examples:**
+- Master tag: `task_001.txt`, `task_002.txt`
+- Other tags: `task_001_feature.txt`, `task_002_feature.txt`
+
+## Common Anti-Patterns
+
+```javascript
+// ❌ DON'T: Missing getCurrentTag import
+import { readJSON, writeJSON } from '../utils.js'; // Missing getCurrentTag
+
+// ❌ DON'T: Hard-coded tag resolution
+const tag = options.tag || 'master'; // Missing getCurrentTag
+
+// ❌ DON'T: Missing --tag option
+.option('-f, --file <file>', 'Path to tasks file') // Missing --tag option
+
+// ❌ DON'T: Missing context parameter
+await coreFunction(tasksPath, param1, param2); // Missing { projectRoot, tag }
+
+// ❌ DON'T: Incorrect readJSON/writeJSON calls
+const data = readJSON(tasksPath); // Missing projectRoot and tag
+writeJSON(tasksPath, data); // Missing projectRoot and tag
+```
+
+## Validation Checklist
+
+For each command, verify:
+
+- [ ] Imports `getCurrentTag` from utils.js
+- [ ] Has `--tag <tag>` CLI option
+- [ ] Uses standard tag resolution: `options.tag || getCurrentTag(projectRoot) || 'master'`
+- [ ] Finds `projectRoot` with error handling
+- [ ] Passes `{ projectRoot, tag }` context to core functions
+- [ ] Core functions accept and use context parameter
+- [ ] Uses `readJSON(tasksPath, projectRoot, tag)` and `writeJSON(tasksPath, data, projectRoot, tag)`
+
+## Testing Tag Resolution
+
+Test each command with:
+
+```bash
+# Test with explicit tag
+node bin/task-master command-name --tag test-tag
+
+# Test with active tag (should use current active tag)
+node bin/task-master use-tag test-tag
+node bin/task-master command-name
+
+# Test with master tag (default)
+node bin/task-master use-tag master  
+node bin/task-master command-name
+```
+
+## Migration Strategy
+
+1. **Audit Phase**: Systematically check each command against the checklist
+2. **Fix Phase**: Apply the standard patterns to non-compliant commands
+3. **Test Phase**: Verify tag resolution works correctly
+4. **Document Phase**: Update command documentation with tag support
+
+This ensures consistent, predictable behavior across all Task Master commands and prevents tag deletion bugs.

.cursor/rules/taskmaster.mdc

@@ -3,14 +3,15 @@ description: Comprehensive reference for Taskmaster MCP tools and CLI commands.
 globs: **/*
 alwaysApply: true
 ---
-
 # Taskmaster Tool & Command Reference
 
-This document provides a detailed reference for interacting with Taskmaster, covering both the recommended MCP tools (for integrations like Cursor) and the corresponding `task-master` CLI commands (for direct user interaction or fallback).
+This document provides a detailed reference for interacting with Taskmaster, covering both the recommended MCP tools, suitable for integrations like Cursor, and the corresponding `task-master` CLI commands, designed for direct user interaction or fallback.
 
-**Note:** For interacting with Taskmaster programmatically or via integrated tools, using the **MCP tools is strongly recommended** due to better performance, structured data, and error handling. The CLI commands serve as a user-friendly alternative and fallback. See [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc) for MCP implementation details and [`commands.mdc`](mdc:.cursor/rules/commands.mdc) for CLI implementation guidelines.
+**Note:** For interacting with Taskmaster programmatically or via integrated tools, using the **MCP tools is strongly recommended** due to better performance, structured data, and error handling. The CLI commands serve as a user-friendly alternative and fallback. 
 
-**Important:** Several MCP tools involve AI processing and are long-running operations that may take up to a minute to complete. When using these tools, always inform users that the operation is in progress and to wait patiently for results. The AI-powered tools include: `parse_prd`, `analyze_project_complexity`, `update_subtask`, `update_task`, `update`, `expand_all`, `expand_task`, and `add_task`.
+**Important:** Several MCP tools involve AI processing... The AI-powered tools include `parse_prd`, `analyze_project_complexity`, `update_subtask`, `update_task`, `update`, `expand_all`, `expand_task`, and `add_task`.
+
+**🏷️ Tagged Task Lists System:** Task Master now supports **tagged task lists** for multi-context task management. This allows you to maintain separate, isolated lists of tasks for different features, branches, or experiments. Existing projects are seamlessly migrated to use a default "master" tag. Most commands now support a `--tag <name>` flag to specify which context to operate on. If omitted, commands use the currently active tag.
 
 ---
 
@@ -24,34 +25,66 @@ This document provides a detailed reference for interacting with Taskmaster, cov
 *   **Key CLI Options:**
     *   `--name <name>`: `Set the name for your project in Taskmaster's configuration.`
     *   `--description <text>`: `Provide a brief description for your project.`
-    *   `--version <version>`: `Set the initial version for your project (e.g., '0.1.0').`
+    *   `--version <version>`: `Set the initial version for your project, e.g., '0.1.0'.`
     *   `-y, --yes`: `Initialize Taskmaster quickly using default settings without interactive prompts.`
 *   **Usage:** Run this once at the beginning of a new project.
 *   **MCP Variant Description:** `Set up the basic Taskmaster file structure and configuration in the current directory for a new project by running the 'task-master init' command.`
 *   **Key MCP Parameters/Options:**
     *   `projectName`: `Set the name for your project.` (CLI: `--name <name>`)
     *   `projectDescription`: `Provide a brief description for your project.` (CLI: `--description <text>`)
-    *   `projectVersion`: `Set the initial version for your project (e.g., '0.1.0').` (CLI: `--version <version>`)
+    *   `projectVersion`: `Set the initial version for your project, e.g., '0.1.0'.` (CLI: `--version <version>`)
     *   `authorName`: `Author name.` (CLI: `--author <author>`)
-    *   `skipInstall`: `Skip installing dependencies (default: false).` (CLI: `--skip-install`)
-    *   `addAliases`: `Add shell aliases (tm, taskmaster) (default: false).` (CLI: `--aliases`)
-    *   `yes`: `Skip prompts and use defaults/provided arguments (default: false).` (CLI: `-y, --yes`)
+    *   `skipInstall`: `Skip installing dependencies. Default is false.` (CLI: `--skip-install`)
+    *   `addAliases`: `Add shell aliases tm and taskmaster. Default is false.` (CLI: `--aliases`)
+    *   `yes`: `Skip prompts and use defaults/provided arguments. Default is false.` (CLI: `-y, --yes`)
 *   **Usage:** Run this once at the beginning of a new project, typically via an integrated tool like Cursor. Operates on the current working directory of the MCP server. 
-*   **Important:** Once complete, you *MUST* parse a prd in order to generate tasks. There will be no tasks files until then. The next step after initializing should be to create a PRD using the example PRD in scripts/example_prd.txt. 
+*   **Important:** Once complete, you *MUST* parse a prd in order to generate tasks. There will be no tasks files until then. The next step after initializing should be to create a PRD using the example PRD in .taskmaster/templates/example_prd.txt. 
+*   **Tagging:** Use the `--tag` option to parse the PRD into a specific, non-default tag context. If the tag doesn't exist, it will be created automatically. Example: `task-master parse-prd spec.txt --tag=new-feature`.
 
 ### 2. Parse PRD (`parse_prd`)
 
 *   **MCP Tool:** `parse_prd`
 *   **CLI Command:** `task-master parse-prd [file] [options]`
-*   **Description:** `Parse a Product Requirements Document (PRD) or text file with Taskmaster to automatically generate an initial set of tasks in tasks.json.`
+*   **Description:** `Parse a Product Requirements Document, PRD, or text file with Taskmaster to automatically generate an initial set of tasks in tasks.json.`
 *   **Key Parameters/Options:**
     *   `input`: `Path to your PRD or requirements text file that Taskmaster should parse for tasks.` (CLI: `[file]` positional or `-i, --input <file>`)
-    *   `output`: `Specify where Taskmaster should save the generated 'tasks.json' file (default: 'tasks/tasks.json').` (CLI: `-o, --output <file>`)
+    *   `output`: `Specify where Taskmaster should save the generated 'tasks.json' file. Defaults to '.taskmaster/tasks/tasks.json'.` (CLI: `-o, --output <file>`)
     *   `numTasks`: `Approximate number of top-level tasks Taskmaster should aim to generate from the document.` (CLI: `-n, --num-tasks <number>`)
     *   `force`: `Use this to allow Taskmaster to overwrite an existing 'tasks.json' without asking for confirmation.` (CLI: `-f, --force`)
 *   **Usage:** Useful for bootstrapping a project from an existing requirements document.
-*   **Notes:** Task Master will strictly adhere to any specific requirements mentioned in the PRD (libraries, database schemas, frameworks, tech stacks, etc.) while filling in any gaps where the PRD isn't fully specified. Tasks are designed to provide the most direct implementation path while avoiding over-engineering.
-*   **Important:** This MCP tool makes AI calls and can take up to a minute to complete. Please inform users to hang tight while the operation is in progress. If the user does not have a PRD, suggest discussing their idea and then use the example PRD in scripts/example_prd.txt as a template for creating the PRD based on their idea, for use with parse-prd.
+*   **Notes:** Task Master will strictly adhere to any specific requirements mentioned in the PRD, such as libraries, database schemas, frameworks, tech stacks, etc., while filling in any gaps where the PRD isn't fully specified. Tasks are designed to provide the most direct implementation path while avoiding over-engineering.
+*   **Important:** This MCP tool makes AI calls and can take up to a minute to complete. Please inform users to hang tight while the operation is in progress. If the user does not have a PRD, suggest discussing their idea and then use the example PRD in `.taskmaster/templates/example_prd.txt` as a template for creating the PRD based on their idea, for use with `parse-prd`.
+
+---
+
+## AI Model Configuration
+
+### 2. Manage Models (`models`)
+*   **MCP Tool:** `models`
+*   **CLI Command:** `task-master models [options]`
+*   **Description:** `View the current AI model configuration or set specific models for different roles (main, research, fallback). Allows setting custom model IDs for Ollama and OpenRouter.`
+*   **Key MCP Parameters/Options:**
+    *   `setMain <model_id>`: `Set the primary model ID for task generation/updates.` (CLI: `--set-main <model_id>`)
+    *   `setResearch <model_id>`: `Set the model ID for research-backed operations.` (CLI: `--set-research <model_id>`)
+    *   `setFallback <model_id>`: `Set the model ID to use if the primary fails.` (CLI: `--set-fallback <model_id>`)
+    *   `ollama <boolean>`: `Indicates the set model ID is a custom Ollama model.` (CLI: `--ollama`)
+    *   `openrouter <boolean>`: `Indicates the set model ID is a custom OpenRouter model.` (CLI: `--openrouter`)
+    *   `listAvailableModels <boolean>`: `If true, lists available models not currently assigned to a role.` (CLI: No direct equivalent; CLI lists available automatically)
+    *   `projectRoot <string>`: `Optional. Absolute path to the project root directory.` (CLI: Determined automatically)
+*   **Key CLI Options:**
+    *   `--set-main <model_id>`: `Set the primary model.`
+    *   `--set-research <model_id>`: `Set the research model.`
+    *   `--set-fallback <model_id>`: `Set the fallback model.`
+    *   `--ollama`: `Specify that the provided model ID is for Ollama (use with --set-*).`
+    *   `--openrouter`: `Specify that the provided model ID is for OpenRouter (use with --set-*). Validates against OpenRouter API.`
+    *   `--bedrock`: `Specify that the provided model ID is for AWS Bedrock (use with --set-*).`
+    *   `--setup`: `Run interactive setup to configure models, including custom Ollama/OpenRouter IDs.`
+*   **Usage (MCP):** Call without set flags to get current config. Use `setMain`, `setResearch`, or `setFallback` with a valid model ID to update the configuration. Use `listAvailableModels: true` to get a list of unassigned models. To set a custom model, provide the model ID and set `ollama: true` or `openrouter: true`.
+*   **Usage (CLI):** Run without flags to view current configuration and available models. Use set flags to update specific roles. Use `--setup` for guided configuration, including custom models. To set a custom model via flags, use `--set-<role>=<model_id>` along with either `--ollama` or `--openrouter`.
+*   **Notes:** Configuration is stored in `.taskmaster/config.json` in the project root. This command/tool modifies that file. Use `listAvailableModels` or `task-master models` to see internally supported models. OpenRouter custom models are validated against their live API. Ollama custom models are not validated live.
+*   **API note:** API keys for selected AI providers (based on their model) need to exist in the mcp.json file to be accessible in MCP context. The API keys must be present in the local .env file for the CLI to be able to read them.
+*   **Model costs:** The costs in supported models are expressed in dollars. An input/output value of 3 is $3.00. A value of 0.8 is $0.80. 
+*   **Warning:** DO NOT MANUALLY EDIT THE .taskmaster/config.json FILE. Use the included commands either in the MCP or CLI format as needed. Always prioritize MCP tools when available and use the CLI as a fallback.
 
 ---
 
@@ -63,9 +96,10 @@ This document provides a detailed reference for interacting with Taskmaster, cov
 *   **CLI Command:** `task-master list [options]`
 *   **Description:** `List your Taskmaster tasks, optionally filtering by status and showing subtasks.`
 *   **Key Parameters/Options:**
-    *   `status`: `Show only Taskmaster tasks matching this status (e.g., 'pending', 'done').` (CLI: `-s, --status <status>`)
+    *   `status`: `Show only Taskmaster tasks matching this status (or multiple statuses, comma-separated), e.g., 'pending' or 'done,in-progress'.` (CLI: `-s, --status <status>`)
     *   `withSubtasks`: `Include subtasks indented under their parent tasks in the list.` (CLI: `--with-subtasks`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
+    *   `tag`: `Specify which tag context to list tasks from. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
 *   **Usage:** Get an overview of the project status, often used at the start of a work session.
 
 ### 4. Get Next Task (`next_task`)
@@ -74,18 +108,21 @@ This document provides a detailed reference for interacting with Taskmaster, cov
 *   **CLI Command:** `task-master next [options]`
 *   **Description:** `Ask Taskmaster to show the next available task you can work on, based on status and completed dependencies.`
 *   **Key Parameters/Options:**
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
+    *   `tag`: `Specify which tag context to use. Defaults to the current active tag.` (CLI: `--tag <name>`)
 *   **Usage:** Identify what to work on next according to the plan.
 
 ### 5. Get Task Details (`get_task`)
 
 *   **MCP Tool:** `get_task`
 *   **CLI Command:** `task-master show [id] [options]`
-*   **Description:** `Display detailed information for a specific Taskmaster task or subtask by its ID.`
+*   **Description:** `Display detailed information for one or more specific Taskmaster tasks or subtasks by ID.`
 *   **Key Parameters/Options:**
-    *   `id`: `Required. The ID of the Taskmaster task (e.g., '15') or subtask (e.g., '15.2') you want to view.` (CLI: `[id]` positional or `-i, --id <id>`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
-*   **Usage:** Understand the full details, implementation notes, and test strategy for a specific task before starting work.
+    *   `id`: `Required. The ID of the Taskmaster task (e.g., '15'), subtask (e.g., '15.2'), or a comma-separated list of IDs ('1,5,10.2') you want to view.` (CLI: `[id]` positional or `-i, --id <id>`)
+    *   `tag`: `Specify which tag context to get the task(s) from. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
+*   **Usage:** Understand the full details for a specific task. When multiple IDs are provided, a summary table is shown.
+*   **CRITICAL INFORMATION** If you need to collect information from multiple tasks, use comma-separated IDs (i.e. 1,2,3) to receive an array of tasks. Do not needlessly get tasks one at a time if you need to get many as that is wasteful.
 
 ---
 
@@ -97,10 +134,12 @@ This document provides a detailed reference for interacting with Taskmaster, cov
 *   **CLI Command:** `task-master add-task [options]`
 *   **Description:** `Add a new task to Taskmaster by describing it; AI will structure it.`
 *   **Key Parameters/Options:**
-    *   `prompt`: `Required. Describe the new task you want Taskmaster to create (e.g., "Implement user authentication using JWT").` (CLI: `-p, --prompt <text>`)
-    *   `dependencies`: `Specify the IDs of any Taskmaster tasks that must be completed before this new one can start (e.g., '12,14').` (CLI: `-d, --dependencies <ids>`)
-    *   `priority`: `Set the priority for the new task ('high', 'medium', 'low'; default: 'medium').` (CLI: `--priority <priority>`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
+    *   `prompt`: `Required. Describe the new task you want Taskmaster to create, e.g., "Implement user authentication using JWT".` (CLI: `-p, --prompt <text>`)
+    *   `dependencies`: `Specify the IDs of any Taskmaster tasks that must be completed before this new one can start, e.g., '12,14'.` (CLI: `-d, --dependencies <ids>`)
+    *   `priority`: `Set the priority for the new task: 'high', 'medium', or 'low'. Default is 'medium'.` (CLI: `--priority <priority>`)
+    *   `research`: `Enable Taskmaster to use the research role for potentially more informed task creation.` (CLI: `-r, --research`)
+    *   `tag`: `Specify which tag context to add the task to. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
 *   **Usage:** Quickly add newly identified tasks during development.
 *   **Important:** This MCP tool makes AI calls and can take up to a minute to complete. Please inform users to hang tight while the operation is in progress.
 
@@ -112,13 +151,14 @@ This document provides a detailed reference for interacting with Taskmaster, cov
 *   **Key Parameters/Options:**
     *   `id` / `parent`: `Required. The ID of the Taskmaster task that will be the parent.` (MCP: `id`, CLI: `-p, --parent <id>`)
     *   `taskId`: `Use this if you want to convert an existing top-level Taskmaster task into a subtask of the specified parent.` (CLI: `-i, --task-id <id>`)
-    *   `title`: `Required (if not using taskId). The title for the new subtask Taskmaster should create.` (CLI: `-t, --title <title>`)
+    *   `title`: `Required if not using taskId. The title for the new subtask Taskmaster should create.` (CLI: `-t, --title <title>`)
     *   `description`: `A brief description for the new subtask.` (CLI: `-d, --description <text>`)
     *   `details`: `Provide implementation notes or details for the new subtask.` (CLI: `--details <text>`)
-    *   `dependencies`: `Specify IDs of other tasks or subtasks (e.g., '15', '16.1') that must be done before this new subtask.` (CLI: `--dependencies <ids>`)
-    *   `status`: `Set the initial status for the new subtask (default: 'pending').` (CLI: `-s, --status <status>`)
+    *   `dependencies`: `Specify IDs of other tasks or subtasks, e.g., '15' or '16.1', that must be done before this new subtask.` (CLI: `--dependencies <ids>`)
+    *   `status`: `Set the initial status for the new subtask. Default is 'pending'.` (CLI: `-s, --status <status>`)
     *   `skipGenerate`: `Prevent Taskmaster from automatically regenerating markdown task files after adding the subtask.` (CLI: `--skip-generate`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
+    *   `tag`: `Specify which tag context to operate on. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
 *   **Usage:** Break down tasks manually or reorganize existing tasks.
 
 ### 8. Update Tasks (`update`)
@@ -127,10 +167,11 @@ This document provides a detailed reference for interacting with Taskmaster, cov
 *   **CLI Command:** `task-master update [options]`
 *   **Description:** `Update multiple upcoming tasks in Taskmaster based on new context or changes, starting from a specific task ID.`
 *   **Key Parameters/Options:**
-    *   `from`: `Required. The ID of the first task Taskmaster should update. All tasks with this ID or higher (and not 'done') will be considered.` (CLI: `--from <id>`)
-    *   `prompt`: `Required. Explain the change or new context for Taskmaster to apply to the tasks (e.g., "We are now using React Query instead of Redux Toolkit for data fetching").` (CLI: `-p, --prompt <text>`)
-    *   `research`: `Enable Taskmaster to use Perplexity AI for more informed updates based on external knowledge (requires PERPLEXITY_API_KEY).` (CLI: `-r, --research`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
+    *   `from`: `Required. The ID of the first task Taskmaster should update. All tasks with this ID or higher that are not 'done' will be considered.` (CLI: `--from <id>`)
+    *   `prompt`: `Required. Explain the change or new context for Taskmaster to apply to the tasks, e.g., "We are now using React Query instead of Redux Toolkit for data fetching".` (CLI: `-p, --prompt <text>`)
+    *   `research`: `Enable Taskmaster to use the research role for more informed updates. Requires appropriate API key.` (CLI: `-r, --research`)
+    *   `tag`: `Specify which tag context to operate on. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
 *   **Usage:** Handle significant implementation changes or pivots that affect multiple future tasks. Example CLI: `task-master update --from='18' --prompt='Switching to React Query.\nNeed to refactor data fetching...'`
 *   **Important:** This MCP tool makes AI calls and can take up to a minute to complete. Please inform users to hang tight while the operation is in progress.
 
@@ -138,13 +179,15 @@ This document provides a detailed reference for interacting with Taskmaster, cov
 
 *   **MCP Tool:** `update_task`
 *   **CLI Command:** `task-master update-task [options]`
-*   **Description:** `Modify a specific Taskmaster task (or subtask) by its ID, incorporating new information or changes.`
+*   **Description:** `Modify a specific Taskmaster task by ID, incorporating new information or changes. By default, this replaces the existing task details.`
 *   **Key Parameters/Options:**
-    *   `id`: `Required. The specific ID of the Taskmaster task (e.g., '15') or subtask (e.g., '15.2') you want to update.` (CLI: `-i, --id <id>`)
+    *   `id`: `Required. The specific ID of the Taskmaster task, e.g., '15', you want to update.` (CLI: `-i, --id <id>`)
     *   `prompt`: `Required. Explain the specific changes or provide the new information Taskmaster should incorporate into this task.` (CLI: `-p, --prompt <text>`)
-    *   `research`: `Enable Taskmaster to use Perplexity AI for more informed updates (requires PERPLEXITY_API_KEY).` (CLI: `-r, --research`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
-*   **Usage:** Refine a specific task based on new understanding or feedback. Example CLI: `task-master update-task --id='15' --prompt='Clarification: Use PostgreSQL instead of MySQL.\nUpdate schema details...'`
+    *   `append`: `If true, appends the prompt content to the task's details with a timestamp, rather than replacing them. Behaves like update-subtask.` (CLI: `--append`)
+    *   `research`: `Enable Taskmaster to use the research role for more informed updates. Requires appropriate API key.` (CLI: `-r, --research`)
+    *   `tag`: `Specify which tag context the task belongs to. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
+*   **Usage:** Refine a specific task based on new understanding. Use `--append` to log progress without creating subtasks.
 *   **Important:** This MCP tool makes AI calls and can take up to a minute to complete. Please inform users to hang tight while the operation is in progress.
 
 ### 10. Update Subtask (`update_subtask`)
@@ -153,22 +196,24 @@ This document provides a detailed reference for interacting with Taskmaster, cov
 *   **CLI Command:** `task-master update-subtask [options]`
 *   **Description:** `Append timestamped notes or details to a specific Taskmaster subtask without overwriting existing content. Intended for iterative implementation logging.`
 *   **Key Parameters/Options:**
-    *   `id`: `Required. The specific ID of the Taskmaster subtask (e.g., '15.2') you want to add information to.` (CLI: `-i, --id <id>`)
-    *   `prompt`: `Required. Provide the information or notes Taskmaster should append to the subtask's details. Ensure this adds *new* information not already present.` (CLI: `-p, --prompt <text>`)
-    *   `research`: `Enable Taskmaster to use Perplexity AI for more informed updates (requires PERPLEXITY_API_KEY).` (CLI: `-r, --research`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
-*   **Usage:** Add implementation notes, code snippets, or clarifications to a subtask during development. Before calling, review the subtask's current details to append only fresh insights, helping to build a detailed log of the implementation journey and avoid redundancy. Example CLI: `task-master update-subtask --id='15.2' --prompt='Discovered that the API requires header X.\nImplementation needs adjustment...'`
+    *   `id`: `Required. The ID of the Taskmaster subtask, e.g., '5.2', to update with new information.` (CLI: `-i, --id <id>`)
+    *   `prompt`: `Required. The information, findings, or progress notes to append to the subtask's details with a timestamp.` (CLI: `-p, --prompt <text>`)
+    *   `research`: `Enable Taskmaster to use the research role for more informed updates. Requires appropriate API key.` (CLI: `-r, --research`)
+    *   `tag`: `Specify which tag context the subtask belongs to. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
+*   **Usage:** Log implementation progress, findings, and discoveries during subtask development. Each update is timestamped and appended to preserve the implementation journey.
 *   **Important:** This MCP tool makes AI calls and can take up to a minute to complete. Please inform users to hang tight while the operation is in progress.
 
 ### 11. Set Task Status (`set_task_status`)
 
 *   **MCP Tool:** `set_task_status`
 *   **CLI Command:** `task-master set-status [options]`
-*   **Description:** `Update the status of one or more Taskmaster tasks or subtasks (e.g., 'pending', 'in-progress', 'done').`
+*   **Description:** `Update the status of one or more Taskmaster tasks or subtasks, e.g., 'pending', 'in-progress', 'done'.`
 *   **Key Parameters/Options:**
-    *   `id`: `Required. The ID(s) of the Taskmaster task(s) or subtask(s) (e.g., '15', '15.2', '16,17.1') to update.` (CLI: `-i, --id <id>`)
-    *   `status`: `Required. The new status to set (e.g., 'done', 'pending', 'in-progress', 'review', 'cancelled').` (CLI: `-s, --status <status>`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
+    *   `id`: `Required. The ID(s) of the Taskmaster task(s) or subtask(s), e.g., '15', '15.2', or '16,17.1', to update.` (CLI: `-i, --id <id>`)
+    *   `status`: `Required. The new status to set, e.g., 'done', 'pending', 'in-progress', 'review', 'cancelled'.` (CLI: `-s, --status <status>`)
+    *   `tag`: `Specify which tag context to operate on. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
 *   **Usage:** Mark progress as tasks move through the development cycle.
 
 ### 12. Remove Task (`remove_task`)
@@ -177,9 +222,10 @@ This document provides a detailed reference for interacting with Taskmaster, cov
 *   **CLI Command:** `task-master remove-task [options]`
 *   **Description:** `Permanently remove a task or subtask from the Taskmaster tasks list.`
 *   **Key Parameters/Options:**
-    *   `id`: `Required. The ID of the Taskmaster task (e.g., '5') or subtask (e.g., '5.2') to permanently remove.` (CLI: `-i, --id <id>`)
+    *   `id`: `Required. The ID of the Taskmaster task, e.g., '5', or subtask, e.g., '5.2', to permanently remove.` (CLI: `-i, --id <id>`)
     *   `yes`: `Skip the confirmation prompt and immediately delete the task.` (CLI: `-y, --yes`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
+    *   `tag`: `Specify which tag context to operate on. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
 *   **Usage:** Permanently delete tasks or subtasks that are no longer needed in the project.
 *   **Notes:** Use with caution as this operation cannot be undone. Consider using 'blocked', 'cancelled', or 'deferred' status instead if you just want to exclude a task from active planning but keep it for reference. The command automatically cleans up dependency references in other tasks.
 
@@ -191,28 +237,30 @@ This document provides a detailed reference for interacting with Taskmaster, cov
 
 *   **MCP Tool:** `expand_task`
 *   **CLI Command:** `task-master expand [options]`
-*   **Description:** `Use Taskmaster's AI to break down a complex task (or all tasks) into smaller, manageable subtasks.`
+*   **Description:** `Use Taskmaster's AI to break down a complex task into smaller, manageable subtasks. Appends subtasks by default.`
 *   **Key Parameters/Options:**
     *   `id`: `The ID of the specific Taskmaster task you want to break down into subtasks.` (CLI: `-i, --id <id>`)
-    *   `num`: `Suggests how many subtasks Taskmaster should aim to create (uses complexity analysis by default).` (CLI: `-n, --num <number>`)
-    *   `research`: `Enable Taskmaster to use Perplexity AI for more informed subtask generation (requires PERPLEXITY_API_KEY).` (CLI: `-r, --research`)
-    *   `prompt`: `Provide extra context or specific instructions to Taskmaster for generating the subtasks.` (CLI: `-p, --prompt <text>`)
-    *   `force`: `Use this to make Taskmaster replace existing subtasks with newly generated ones.` (CLI: `--force`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
-*   **Usage:** Generate a detailed implementation plan for a complex task before starting coding.
+    *   `num`: `Optional: Suggests how many subtasks Taskmaster should aim to create. Uses complexity analysis/defaults otherwise.` (CLI: `-n, --num <number>`)
+    *   `research`: `Enable Taskmaster to use the research role for more informed subtask generation. Requires appropriate API key.` (CLI: `-r, --research`)
+    *   `prompt`: `Optional: Provide extra context or specific instructions to Taskmaster for generating the subtasks.` (CLI: `-p, --prompt <text>`)
+    *   `force`: `Optional: If true, clear existing subtasks before generating new ones. Default is false (append).` (CLI: `--force`)
+    *   `tag`: `Specify which tag context the task belongs to. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
+*   **Usage:** Generate a detailed implementation plan for a complex task before starting coding. Automatically uses complexity report recommendations if available and `num` is not specified.
 *   **Important:** This MCP tool makes AI calls and can take up to a minute to complete. Please inform users to hang tight while the operation is in progress.
 
 ### 14. Expand All Tasks (`expand_all`)
 
 *   **MCP Tool:** `expand_all`
 *   **CLI Command:** `task-master expand --all [options]` (Note: CLI uses the `expand` command with the `--all` flag)
-*   **Description:** `Tell Taskmaster to automatically expand all 'pending' tasks based on complexity analysis.`
+*   **Description:** `Tell Taskmaster to automatically expand all eligible pending/in-progress tasks based on complexity analysis or defaults. Appends subtasks by default.`
 *   **Key Parameters/Options:**
-    *   `num`: `Suggests how many subtasks Taskmaster should aim to create per task.` (CLI: `-n, --num <number>`)
-    *   `research`: `Enable Perplexity AI for more informed subtask generation (requires PERPLEXITY_API_KEY).` (CLI: `-r, --research`)
-    *   `prompt`: `Provide extra context for Taskmaster to apply generally during expansion.` (CLI: `-p, --prompt <text>`)
-    *   `force`: `Make Taskmaster replace existing subtasks.` (CLI: `--force`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
+    *   `num`: `Optional: Suggests how many subtasks Taskmaster should aim to create per task.` (CLI: `-n, --num <number>`)
+    *   `research`: `Enable research role for more informed subtask generation. Requires appropriate API key.` (CLI: `-r, --research`)
+    *   `prompt`: `Optional: Provide extra context for Taskmaster to apply generally during expansion.` (CLI: `-p, --prompt <text>`)
+    *   `force`: `Optional: If true, clear existing subtasks before generating new ones for each eligible task. Default is false (append).` (CLI: `--force`)
+    *   `tag`: `Specify which tag context to expand. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
 *   **Usage:** Useful after initial task generation or complexity analysis to break down multiple tasks at once.
 *   **Important:** This MCP tool makes AI calls and can take up to a minute to complete. Please inform users to hang tight while the operation is in progress.
 
@@ -222,9 +270,10 @@ This document provides a detailed reference for interacting with Taskmaster, cov
 *   **CLI Command:** `task-master clear-subtasks [options]`
 *   **Description:** `Remove all subtasks from one or more specified Taskmaster parent tasks.`
 *   **Key Parameters/Options:**
-    *   `id`: `The ID(s) of the Taskmaster parent task(s) whose subtasks you want to remove (e.g., '15', '16,18').` (Required unless using `all`) (CLI: `-i, --id <ids>`)
+    *   `id`: `The ID(s) of the Taskmaster parent task(s) whose subtasks you want to remove, e.g., '15' or '16,18'. Required unless using `all`.) (CLI: `-i, --id <ids>`)
     *   `all`: `Tell Taskmaster to remove subtasks from all parent tasks.` (CLI: `--all`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
+    *   `tag`: `Specify which tag context to operate on. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
 *   **Usage:** Used before regenerating subtasks with `expand_task` if the previous breakdown needs replacement.
 
 ### 16. Remove Subtask (`remove_subtask`)
@@ -233,28 +282,56 @@ This document provides a detailed reference for interacting with Taskmaster, cov
 *   **CLI Command:** `task-master remove-subtask [options]`
 *   **Description:** `Remove a subtask from its Taskmaster parent, optionally converting it into a standalone task.`
 *   **Key Parameters/Options:**
-    *   `id`: `Required. The ID(s) of the Taskmaster subtask(s) to remove (e.g., '15.2', '16.1,16.3').` (CLI: `-i, --id <id>`)
+    *   `id`: `Required. The ID(s) of the Taskmaster subtask(s) to remove, e.g., '15.2' or '16.1,16.3'.` (CLI: `-i, --id <id>`)
     *   `convert`: `If used, Taskmaster will turn the subtask into a regular top-level task instead of deleting it.` (CLI: `-c, --convert`)
     *   `skipGenerate`: `Prevent Taskmaster from automatically regenerating markdown task files after removing the subtask.` (CLI: `--skip-generate`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
+    *   `tag`: `Specify which tag context to operate on. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
 *   **Usage:** Delete unnecessary subtasks or promote a subtask to a top-level task.
 
+### 17. Move Task (`move_task`)
+
+*   **MCP Tool:** `move_task`
+*   **CLI Command:** `task-master move [options]`
+*   **Description:** `Move a task or subtask to a new position within the task hierarchy.`
+*   **Key Parameters/Options:**
+    *   `from`: `Required. ID of the task/subtask to move (e.g., "5" or "5.2"). Can be comma-separated for multiple tasks.` (CLI: `--from <id>`)
+    *   `to`: `Required. ID of the destination (e.g., "7" or "7.3"). Must match the number of source IDs if comma-separated.` (CLI: `--to <id>`)
+    *   `tag`: `Specify which tag context to operate on. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
+*   **Usage:** Reorganize tasks by moving them within the hierarchy. Supports various scenarios like:
+    *   Moving a task to become a subtask
+    *   Moving a subtask to become a standalone task
+    *   Moving a subtask to a different parent
+    *   Reordering subtasks within the same parent
+    *   Moving a task to a new, non-existent ID (automatically creates placeholders)
+    *   Moving multiple tasks at once with comma-separated IDs
+*   **Validation Features:**
+    *   Allows moving tasks to non-existent destination IDs (creates placeholder tasks)
+    *   Prevents moving to existing task IDs that already have content (to avoid overwriting)
+    *   Validates that source tasks exist before attempting to move them
+    *   Maintains proper parent-child relationships
+*   **Example CLI:** `task-master move --from=5.2 --to=7.3` to move subtask 5.2 to become subtask 7.3.
+*   **Example Multi-Move:** `task-master move --from=10,11,12 --to=16,17,18` to move multiple tasks to new positions.
+*   **Common Use:** Resolving merge conflicts in tasks.json when multiple team members create tasks on different branches.
+
 ---
 
 ## Dependency Management
 
-### 17. Add Dependency (`add_dependency`)
+### 18. Add Dependency (`add_dependency`)
 
 *   **MCP Tool:** `add_dependency`
 *   **CLI Command:** `task-master add-dependency [options]`
 *   **Description:** `Define a dependency in Taskmaster, making one task a prerequisite for another.`
 *   **Key Parameters/Options:**
     *   `id`: `Required. The ID of the Taskmaster task that will depend on another.` (CLI: `-i, --id <id>`)
-    *   `dependsOn`: `Required. The ID of the Taskmaster task that must be completed first (the prerequisite).` (CLI: `-d, --depends-on <id>`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
+    *   `dependsOn`: `Required. The ID of the Taskmaster task that must be completed first, the prerequisite.` (CLI: `-d, --depends-on <id>`)
+    *   `tag`: `Specify which tag context to operate on. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <path>`)
 *   **Usage:** Establish the correct order of execution between tasks.
 
-### 18. Remove Dependency (`remove_dependency`)
+### 19. Remove Dependency (`remove_dependency`)
 
 *   **MCP Tool:** `remove_dependency`
 *   **CLI Command:** `task-master remove-dependency [options]`
@@ -262,92 +339,219 @@ This document provides a detailed reference for interacting with Taskmaster, cov
 *   **Key Parameters/Options:**
     *   `id`: `Required. The ID of the Taskmaster task you want to remove a prerequisite from.` (CLI: `-i, --id <id>`)
     *   `dependsOn`: `Required. The ID of the Taskmaster task that should no longer be a prerequisite.` (CLI: `-d, --depends-on <id>`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
+    *   `tag`: `Specify which tag context to operate on. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
 *   **Usage:** Update task relationships when the order of execution changes.
 
-### 19. Validate Dependencies (`validate_dependencies`)
+### 20. Validate Dependencies (`validate_dependencies`)
 
 *   **MCP Tool:** `validate_dependencies`
 *   **CLI Command:** `task-master validate-dependencies [options]`
 *   **Description:** `Check your Taskmaster tasks for dependency issues (like circular references or links to non-existent tasks) without making changes.`
 *   **Key Parameters/Options:**
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
+    *   `tag`: `Specify which tag context to validate. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
 *   **Usage:** Audit the integrity of your task dependencies.
 
-### 20. Fix Dependencies (`fix_dependencies`)
+### 21. Fix Dependencies (`fix_dependencies`)
 
 *   **MCP Tool:** `fix_dependencies`
 *   **CLI Command:** `task-master fix-dependencies [options]`
 *   **Description:** `Automatically fix dependency issues (like circular references or links to non-existent tasks) in your Taskmaster tasks.`
 *   **Key Parameters/Options:**
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
+    *   `tag`: `Specify which tag context to fix dependencies in. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
 *   **Usage:** Clean up dependency errors automatically.
 
 ---
 
 ## Analysis & Reporting
 
-### 21. Analyze Project Complexity (`analyze_project_complexity`)
+### 22. Analyze Project Complexity (`analyze_project_complexity`)
 
 *   **MCP Tool:** `analyze_project_complexity`
 *   **CLI Command:** `task-master analyze-complexity [options]`
 *   **Description:** `Have Taskmaster analyze your tasks to determine their complexity and suggest which ones need to be broken down further.`
 *   **Key Parameters/Options:**
-    *   `output`: `Where to save the complexity analysis report (default: 'scripts/task-complexity-report.json').` (CLI: `-o, --output <file>`)
+    *   `output`: `Where to save the complexity analysis report. Default is '.taskmaster/reports/task-complexity-report.json' (or '..._tagname.json' if a tag is used).` (CLI: `-o, --output <file>`)
     *   `threshold`: `The minimum complexity score (1-10) that should trigger a recommendation to expand a task.` (CLI: `-t, --threshold <number>`)
-    *   `research`: `Enable Perplexity AI for more accurate complexity analysis (requires PERPLEXITY_API_KEY).` (CLI: `-r, --research`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
+    *   `research`: `Enable research role for more accurate complexity analysis. Requires appropriate API key.` (CLI: `-r, --research`)
+    *   `tag`: `Specify which tag context to analyze. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
 *   **Usage:** Used before breaking down tasks to identify which ones need the most attention.
 *   **Important:** This MCP tool makes AI calls and can take up to a minute to complete. Please inform users to hang tight while the operation is in progress.
 
-### 22. View Complexity Report (`complexity_report`)
+### 23. View Complexity Report (`complexity_report`)
 
 *   **MCP Tool:** `complexity_report`
 *   **CLI Command:** `task-master complexity-report [options]`
 *   **Description:** `Display the task complexity analysis report in a readable format.`
 *   **Key Parameters/Options:**
-    *   `file`: `Path to the complexity report (default: 'scripts/task-complexity-report.json').` (CLI: `-f, --file <file>`)
+    *   `tag`: `Specify which tag context to show the report for. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to the complexity report (default: '.taskmaster/reports/task-complexity-report.json').` (CLI: `-f, --file <file>`)
 *   **Usage:** Review and understand the complexity analysis results after running analyze-complexity.
 
 ---
 
 ## File Management
 
-### 23. Generate Task Files (`generate`)
+### 24. Generate Task Files (`generate`)
 
 *   **MCP Tool:** `generate`
 *   **CLI Command:** `task-master generate [options]`
 *   **Description:** `Create or update individual Markdown files for each task based on your tasks.json.`
 *   **Key Parameters/Options:**
     *   `output`: `The directory where Taskmaster should save the task files (default: in a 'tasks' directory).` (CLI: `-o, --output <directory>`)
-    *   `file`: `Path to your Taskmaster 'tasks.json' file (default relies on auto-detection).` (CLI: `-f, --file <file>`)
-*   **Usage:** Run this after making changes to tasks.json to keep individual task files up to date.
+    *   `tag`: `Specify which tag context to generate files for. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
+*   **Usage:** Run this after making changes to tasks.json to keep individual task files up to date. This command is now manual and no longer runs automatically.
 
 ---
 
-## Environment Variables Configuration
+## AI-Powered Research
 
-Taskmaster's behavior can be customized via environment variables. These affect both CLI and MCP server operation:
+### 25. Research (`research`)
 
-*   **ANTHROPIC_API_KEY** (Required): Your Anthropic API key for Claude.
-*   **MODEL**: Claude model to use (default: `claude-3-opus-20240229`). 
-*   **MAX_TOKENS**: Maximum tokens for AI responses (default: 8192).
-*   **TEMPERATURE**: Temperature for AI model responses (default: 0.7).
-*   **DEBUG**: Enable debug logging (`true`/`false`, default: `false`).
-*   **LOG_LEVEL**: Console output level (`debug`, `info`, `warn`, `error`, default: `info`).
-*   **DEFAULT_SUBTASKS**: Default number of subtasks for `expand` (default: 5).
-*   **DEFAULT_PRIORITY**: Default priority for new tasks (default: `medium`).
-*   **PROJECT_NAME**: Project name used in metadata.
-*   **PROJECT_VERSION**: Project version used in metadata.
-*   **PERPLEXITY_API_KEY**: API key for Perplexity AI (for `--research` flags).
-*   **PERPLEXITY_MODEL**: Perplexity model to use (default: `sonar-medium-online`).
-
-Set these in your `.env` file in the project root or in your environment before running Taskmaster.
+*   **MCP Tool:** `research`
+*   **CLI Command:** `task-master research [options]`
+*   **Description:** `Perform AI-powered research queries with project context to get fresh, up-to-date information beyond the AI's knowledge cutoff.`
+*   **Key Parameters/Options:**
+    *   `query`: `Required. Research query/prompt (e.g., "What are the latest best practices for React Query v5?").` (CLI: `[query]` positional or `-q, --query <text>`)
+    *   `taskIds`: `Comma-separated list of task/subtask IDs from the current tag context (e.g., "15,16.2,17").` (CLI: `-i, --id <ids>`)
+    *   `filePaths`: `Comma-separated list of file paths for context (e.g., "src/api.js,docs/readme.md").` (CLI: `-f, --files <paths>`)
+    *   `customContext`: `Additional custom context text to include in the research.` (CLI: `-c, --context <text>`)
+    *   `includeProjectTree`: `Include project file tree structure in context (default: false).` (CLI: `--tree`)
+    *   `detailLevel`: `Detail level for the research response: 'low', 'medium', 'high' (default: medium).` (CLI: `--detail <level>`)
+    *   `saveTo`: `Task or subtask ID (e.g., "15", "15.2") to automatically save the research conversation to.` (CLI: `--save-to <id>`)
+    *   `saveFile`: `If true, saves the research conversation to a markdown file in '.taskmaster/docs/research/'.` (CLI: `--save-file`)
+    *   `noFollowup`: `Disables the interactive follow-up question menu in the CLI.` (CLI: `--no-followup`)
+    *   `tag`: `Specify which tag context to use for task-based context gathering. Defaults to the current active tag.` (CLI: `--tag <name>`)
+    *   `projectRoot`: `The directory of the project. Must be an absolute path.` (CLI: Determined automatically)
+*   **Usage:** **This is a POWERFUL tool that agents should use FREQUENTLY** to:
+    *   Get fresh information beyond knowledge cutoff dates
+    *   Research latest best practices, library updates, security patches
+    *   Find implementation examples for specific technologies
+    *   Validate approaches against current industry standards
+    *   Get contextual advice based on project files and tasks
+*   **When to Consider Using Research:**
+    *   **Before implementing any task** - Research current best practices
+    *   **When encountering new technologies** - Get up-to-date implementation guidance (libraries, apis, etc)
+    *   **For security-related tasks** - Find latest security recommendations
+    *   **When updating dependencies** - Research breaking changes and migration guides
+    *   **For performance optimization** - Get current performance best practices
+    *   **When debugging complex issues** - Research known solutions and workarounds
+*   **Research + Action Pattern:**
+    *   Use `research` to gather fresh information
+    *   Use `update_subtask` to commit findings with timestamps
+    *   Use `update_task` to incorporate research into task details
+    *   Use `add_task` with research flag for informed task creation
+*   **Important:** This MCP tool makes AI calls and can take up to a minute to complete. The research provides FRESH data beyond the AI's training cutoff, making it invaluable for current best practices and recent developments.
 
 ---
 
-For implementation details:
-*   CLI commands: See [`commands.mdc`](mdc:.cursor/rules/commands.mdc)
-*   MCP server: See [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc)
-*   Task structure: See [`tasks.mdc`](mdc:.cursor/rules/tasks.mdc)
-*   Workflow: See [`dev_workflow.mdc`](mdc:.cursor/rules/dev_workflow.mdc)
+## Tag Management
+
+This new suite of commands allows you to manage different task contexts (tags).
+
+### 26. List Tags (`tags`)
+
+*   **MCP Tool:** `list_tags`
+*   **CLI Command:** `task-master tags [options]`
+*   **Description:** `List all available tags with task counts, completion status, and other metadata.`
+*   **Key Parameters/Options:**
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
+    *   `--show-metadata`: `Include detailed metadata in the output (e.g., creation date, description).` (CLI: `--show-metadata`)
+
+### 27. Add Tag (`add_tag`)
+
+*   **MCP Tool:** `add_tag`
+*   **CLI Command:** `task-master add-tag <tagName> [options]`
+*   **Description:** `Create a new, empty tag context, or copy tasks from another tag.`
+*   **Key Parameters/Options:**
+    *   `tagName`: `Name of the new tag to create (alphanumeric, hyphens, underscores).` (CLI: `<tagName>` positional)
+    *   `--from-branch`: `Creates a tag with a name derived from the current git branch, ignoring the <tagName> argument.` (CLI: `--from-branch`)
+    *   `--copy-from-current`: `Copy tasks from the currently active tag to the new tag.` (CLI: `--copy-from-current`)
+    *   `--copy-from <tag>`: `Copy tasks from a specific source tag to the new tag.` (CLI: `--copy-from <tag>`)
+    *   `--description <text>`: `Provide an optional description for the new tag.` (CLI: `-d, --description <text>`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
+
+### 28. Delete Tag (`delete_tag`)
+
+*   **MCP Tool:** `delete_tag`
+*   **CLI Command:** `task-master delete-tag <tagName> [options]`
+*   **Description:** `Permanently delete a tag and all of its associated tasks.`
+*   **Key Parameters/Options:**
+    *   `tagName`: `Name of the tag to delete.` (CLI: `<tagName>` positional)
+    *   `--yes`: `Skip the confirmation prompt.` (CLI: `-y, --yes`)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
+
+### 29. Use Tag (`use_tag`)
+
+*   **MCP Tool:** `use_tag`
+*   **CLI Command:** `task-master use-tag <tagName>`
+*   **Description:** `Switch your active task context to a different tag.`
+*   **Key Parameters/Options:**
+    *   `tagName`: `Name of the tag to switch to.` (CLI: `<tagName>` positional)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
+
+### 30. Rename Tag (`rename_tag`)
+
+*   **MCP Tool:** `rename_tag`
+*   **CLI Command:** `task-master rename-tag <oldName> <newName>`
+*   **Description:** `Rename an existing tag.`
+*   **Key Parameters/Options:**
+    *   `oldName`: `The current name of the tag.` (CLI: `<oldName>` positional)
+    *   `newName`: `The new name for the tag.` (CLI: `<newName>` positional)
+    *   `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
+
+### 31. Copy Tag (`copy_tag`)
+
+*   **MCP Tool:** `copy_tag`
+*   **CLI Command:** `task-master copy-tag <sourceName> <targetName> [options]`
+*   **Description:** `Copy an entire tag context, including all its tasks and metadata, to a new tag.`
+*   **Key Parameters/Options:**
+    *   `sourceName`: `Name of the tag to copy from.` (CLI: `<sourceName>` positional)
+    *   `targetName`: `Name of the new tag to create.` (CLI: `<targetName>` positional)
+    *   `--description <text>`: `Optional description for the new tag.` (CLI: `-d, --description <text>`)
+
+---
+
+## Miscellaneous
+
+### 32. Sync Readme (`sync-readme`) -- experimental
+
+*   **MCP Tool:** N/A
+*   **CLI Command:** `task-master sync-readme [options]`
+*   **Description:** `Exports your task list to your project's README.md file, useful for showcasing progress.`
+*   **Key Parameters/Options:**
+    *   `status`: `Filter tasks by status (e.g., 'pending', 'done').` (CLI: `-s, --status <status>`)
+    *   `withSubtasks`: `Include subtasks in the export.` (CLI: `--with-subtasks`)
+    *   `tag`: `Specify which tag context to export from. Defaults to the current active tag.` (CLI: `--tag <name>`)
+
+---
+
+## Environment Variables Configuration (Updated)
+
+Taskmaster primarily uses the **`.taskmaster/config.json`** file (in project root) for configuration (models, parameters, logging level, etc.), managed via `task-master models --setup`.
+
+Environment variables are used **only** for sensitive API keys related to AI providers and specific overrides like the Ollama base URL:
+
+*   **API Keys (Required for corresponding provider):**
+    *   `ANTHROPIC_API_KEY`
+    *   `PERPLEXITY_API_KEY`
+    *   `OPENAI_API_KEY`
+    *   `GOOGLE_API_KEY`
+    *   `MISTRAL_API_KEY`
+    *   `AZURE_OPENAI_API_KEY` (Requires `AZURE_OPENAI_ENDPOINT` too)
+    *   `OPENROUTER_API_KEY`
+    *   `XAI_API_KEY`
+    *   `OLLAMA_API_KEY` (Requires `OLLAMA_BASE_URL` too)
+*   **Endpoints (Optional/Provider Specific inside .taskmaster/config.json):**
+    *   `AZURE_OPENAI_ENDPOINT`
+    *   `OLLAMA_BASE_URL` (Default: `http://localhost:11434/api`)
+
+**Set API keys** in your **`.env`** file in the project root (for CLI use) or within the `env` section of your **`.cursor/mcp.json`** file (for MCP/Cursor integration). All other settings (model choice, max tokens, temperature, log level, custom endpoints) are managed in `.taskmaster/config.json` via `task-master models` command or `models` MCP tool.
+
+---
+
+For details on how these commands fit into the development process, see the [Development Workflow Guide](mdc:.cursor/rules/dev_workflow.mdc).

.cursor/rules/tasks.mdc

@@ -3,9 +3,19 @@ description: Guidelines for implementing task management operations
 globs: scripts/modules/task-manager.js
 alwaysApply: false
 ---
-
 # Task Management Guidelines
 
+## Tagged Task Lists System
+
+Task Master now uses a **tagged task lists system** for multi-context task management:
+
+- **Data Structure**: Tasks are organized into separate contexts (tags) within `tasks.json`
+- **Legacy Format**: `{"tasks": [...]}`
+- **Tagged Format**: `{"master": {"tasks": [...]}, "feature-branch": {"tasks": [...]}}`
+- **Silent Migration**: Legacy format automatically converts to tagged format on first use
+- **Tag Resolution**: Core functions receive legacy format for 100% backward compatibility
+- **Default Tag**: "master" is used for all existing and new tasks unless otherwise specified
+
 ## Task Structure Standards
 
 - **Core Task Properties**:
@@ -28,6 +38,25 @@ alwaysApply: false
   };
   ```
 
+- **Tagged Data Structure**:
+  - ✅ DO: Access tasks through tag resolution layer
+  - ✅ DO: Use `getTasksForTag(data, tagName)` to retrieve tasks for a specific tag
+  - ✅ DO: Use `setTasksForTag(data, tagName, tasks)` to update tasks for a specific tag
+  - ❌ DON'T: Directly manipulate the tagged structure in core functions
+
+  ```javascript
+  // ✅ DO: Use tag resolution functions
+  const tasksData = readJSON(tasksPath);
+  const currentTag = getCurrentTag() || 'master';
+  const tasks = getTasksForTag(tasksData, currentTag);
+  
+  // Manipulate tasks as normal...
+  
+  // Save back to the tagged structure
+  setTasksForTag(tasksData, currentTag, tasks);
+  writeJSON(tasksPath, tasksData);
+  ```
+
 - **Subtask Structure**:
   - ✅ DO: Use consistent properties across subtasks
   - ✅ DO: Maintain simple numeric IDs within parent tasks
@@ -48,53 +77,56 @@ alwaysApply: false
 ## Task Creation and Parsing
 
 - **ID Management**:
-  - ✅ DO: Assign unique sequential IDs to tasks
-  - ✅ DO: Calculate the next ID based on existing tasks
-  - ❌ DON'T: Hardcode or reuse IDs
+  - ✅ DO: Assign unique sequential IDs to tasks within each tag context
+  - ✅ DO: Calculate the next ID based on existing tasks in the current tag
+  - ❌ DON'T: Hardcode or reuse IDs within the same tag
 
   ```javascript
-  // ✅ DO: Calculate the next available ID
-  const highestId = Math.max(...data.tasks.map(t => t.id));
+  // ✅ DO: Calculate the next available ID within the current tag
+  const tasksData = readJSON(tasksPath);
+  const currentTag = getCurrentTag() || 'master';
+  const tasks = getTasksForTag(tasksData, currentTag);
+  const highestId = Math.max(...tasks.map(t => t.id));
   const nextTaskId = highestId + 1;
   ```
 
 - **PRD Parsing**:
   - ✅ DO: Extract tasks from PRD documents using AI
+  - ✅ DO: Create tasks in the current tag context (defaults to "master")
   - ✅ DO: Provide clear prompts to guide AI task generation
   - ✅ DO: Validate and clean up AI-generated tasks
 
   ```javascript
-  // ✅ DO: Validate AI responses
-  try {
-    // Parse the JSON response
-    taskData = JSON.parse(jsonContent);
-    
-    // Check that we have the required fields
-    if (!taskData.title || !taskData.description) {
-      throw new Error("Missing required fields in the generated task");
-    }
-  } catch (error) {
-    log('error', "Failed to parse AI's response as valid task JSON:", error);
-    process.exit(1);
-  }
+  // ✅ DO: Parse into current tag context
+  const tasksData = readJSON(tasksPath) || {};
+  const currentTag = getCurrentTag() || 'master';
+  
+  // Parse tasks and add to current tag
+  const newTasks = await parseTasksFromPRD(prdContent);
+  setTasksForTag(tasksData, currentTag, newTasks);
+  writeJSON(tasksPath, tasksData);
   ```
 
 ## Task Updates and Modifications
 
 - **Status Management**:
-  - ✅ DO: Provide functions for updating task status
+  - ✅ DO: Provide functions for updating task status within current tag context
   - ✅ DO: Handle both individual tasks and subtasks
   - ✅ DO: Consider subtask status when updating parent tasks
 
   ```javascript
-  // ✅ DO: Handle status updates for both tasks and subtasks
+  // ✅ DO: Handle status updates within tagged context
   async function setTaskStatus(tasksPath, taskIdInput, newStatus) {
+    const tasksData = readJSON(tasksPath);
+    const currentTag = getCurrentTag() || 'master';
+    const tasks = getTasksForTag(tasksData, currentTag);
+    
     // Check if it's a subtask (e.g., "1.2")
     if (taskIdInput.includes('.')) {
       const [parentId, subtaskId] = taskIdInput.split('.').map(id => parseInt(id, 10));
       
       // Find the parent task and subtask
-      const parentTask = data.tasks.find(t => t.id === parentId);
+      const parentTask = tasks.find(t => t.id === parentId);
       const subtask = parentTask.subtasks.find(st => st.id === subtaskId);
       
       // Update subtask status
@@ -109,7 +141,7 @@ alwaysApply: false
       }
     } else {
       // Handle regular task
-      const task = data.tasks.find(t => t.id === parseInt(taskIdInput, 10));
+      const task = tasks.find(t => t.id === parseInt(taskIdInput, 10));
       task.status = newStatus;
       
       // If marking as done, also mark subtasks
@@ -119,16 +151,24 @@ alwaysApply: false
         });
       }
     }
+    
+    // Save updated tasks back to tagged structure
+    setTasksForTag(tasksData, currentTag, tasks);
+    writeJSON(tasksPath, tasksData);
   }
   ```
 
 - **Task Expansion**:
-  - ✅ DO: Use AI to generate detailed subtasks
+  - ✅ DO: Use AI to generate detailed subtasks within current tag context
   - ✅ DO: Consider complexity analysis for subtask counts
   - ✅ DO: Ensure proper IDs for newly created subtasks
 
   ```javascript
   // ✅ DO: Generate appropriate subtasks based on complexity
+  const tasksData = readJSON(tasksPath);
+  const currentTag = getCurrentTag() || 'master';
+  const tasks = getTasksForTag(tasksData, currentTag);
+  
   if (taskAnalysis) {
     log('info', `Found complexity analysis for task ${taskId}: Score ${taskAnalysis.complexityScore}/10`);
     
@@ -138,6 +178,11 @@ alwaysApply: false
       log('info', `Using recommended number of subtasks: ${numSubtasks}`);
     }
   }
+  
+  // Generate subtasks and save back
+  // ... subtask generation logic ...
+  setTasksForTag(tasksData, currentTag, tasks);
+  writeJSON(tasksPath, tasksData);
   ```
 
 ## Task File Generation
@@ -155,67 +200,65 @@ alwaysApply: false
   
   // Format dependencies with their status
   if (task.dependencies && task.dependencies.length > 0) {
-    content += `# Dependencies: ${formatDependenciesWithStatus(task.dependencies, data.tasks)}\n`;
+    content += `# Dependencies: ${formatDependenciesWithStatus(task.dependencies, tasks)}\n`;
   } else {
     content += '# Dependencies: None\n';
   }
   ```
 
-- **Subtask Inclusion**:
-  - ✅ DO: Include subtasks in parent task files
-  - ✅ DO: Use consistent indentation for subtask sections
-  - ✅ DO: Display subtask dependencies with proper formatting
+- **Tagged Context Awareness**:
+  - ✅ DO: Generate task files from current tag context
+  - ✅ DO: Include tag information in generated files
+  - ❌ DON'T: Mix tasks from different tags in file generation
 
   ```javascript
-  // ✅ DO: Format subtasks correctly in task files
-  if (task.subtasks && task.subtasks.length > 0) {
-    content += '\n# Subtasks:\n';
+  // ✅ DO: Generate files for current tag context
+  async function generateTaskFiles(tasksPath, outputDir) {
+    const tasksData = readJSON(tasksPath);
+    const currentTag = getCurrentTag() || 'master';
+    const tasks = getTasksForTag(tasksData, currentTag);
     
-    task.subtasks.forEach(subtask => {
-      content += `## ${subtask.id}. ${subtask.title} [${subtask.status || 'pending'}]\n`;
-      
-      // Format subtask dependencies
-      if (subtask.dependencies && subtask.dependencies.length > 0) {
-        // Format the dependencies
-        content += `### Dependencies: ${formattedDeps}\n`;
-      } else {
-        content += '### Dependencies: None\n';
-      }
-      
-      content += `### Description: ${subtask.description || ''}\n`;
-      content += '### Details:\n';
-      content += (subtask.details || '').split('\n').map(line => line).join('\n');
-      content += '\n\n';
-    });
+    // Add tag context to file header
+    let content = `# Tag Context: ${currentTag}\n`;
+    content += `# Task ID: ${task.id}\n`;
+    // ... rest of file generation
   }
   ```
 
 ## Task Listing and Display
 
 - **Filtering and Organization**:
-  - ✅ DO: Allow filtering tasks by status
+  - ✅ DO: Allow filtering tasks by status within current tag context
   - ✅ DO: Handle subtask display in lists
   - ✅ DO: Use consistent table formats
 
   ```javascript
-  // ✅ DO: Implement clear filtering and organization
+  // ✅ DO: Implement clear filtering within tag context
+  const tasksData = readJSON(tasksPath);
+  const currentTag = getCurrentTag() || 'master';
+  const tasks = getTasksForTag(tasksData, currentTag);
+  
   // Filter tasks by status if specified
   const filteredTasks = statusFilter 
-    ? data.tasks.filter(task => 
+    ? tasks.filter(task => 
         task.status && task.status.toLowerCase() === statusFilter.toLowerCase())
-    : data.tasks;
+    : tasks;
   ```
 
 - **Progress Tracking**:
-  - ✅ DO: Calculate and display completion statistics
+  - ✅ DO: Calculate and display completion statistics for current tag
   - ✅ DO: Track both task and subtask completion
   - ✅ DO: Use visual progress indicators
 
   ```javascript
-  // ✅ DO: Track and display progress
+  // ✅ DO: Track and display progress within tag context
+  const tasksData = readJSON(tasksPath);
+  const currentTag = getCurrentTag() || 'master';
+  const tasks = getTasksForTag(tasksData, currentTag);
+  
   // Calculate completion statistics
-  const totalTasks = data.tasks.length;
-  const completedTasks = data.tasks.filter(task => 
+  const totalTasks = tasks.length;
+  const completedTasks = tasks.filter(task => 
     task.status === 'done' || task.status === 'completed').length;
   const completionPercentage = totalTasks > 0 ? (completedTasks / totalTasks) * 100 : 0;
   
@@ -223,7 +266,7 @@ alwaysApply: false
   let totalSubtasks = 0;
   let completedSubtasks = 0;
   
-  data.tasks.forEach(task => {
+  tasks.forEach(task => {
     if (task.subtasks && task.subtasks.length > 0) {
       totalSubtasks += task.subtasks.length;
       completedSubtasks += task.subtasks.filter(st => 
@@ -232,99 +275,52 @@ alwaysApply: false
   });
   ```
 
-## Complexity Analysis
+## Migration and Compatibility
 
-- **Scoring System**:
-  - ✅ DO: Use AI to analyze task complexity
-  - ✅ DO: Include complexity scores (1-10)
-  - ✅ DO: Generate specific expansion recommendations
+- **Silent Migration Handling**:
+  - ✅ DO: Implement silent migration in `readJSON()` function
+  - ✅ DO: Detect legacy format and convert automatically
+  - ✅ DO: Preserve all existing task data during migration
 
   ```javascript
-  // ✅ DO: Handle complexity analysis properly
-  const report = {
-    meta: {
-      generatedAt: new Date().toISOString(),
-      tasksAnalyzed: tasksData.tasks.length,
-      thresholdScore: thresholdScore,
-      projectName: tasksData.meta?.projectName || 'Your Project Name',
-      usedResearch: useResearch
-    },
-    complexityAnalysis: complexityAnalysis
-  };
-  ```
-
-- **Analysis-Based Workflow**:
-  - ✅ DO: Use complexity reports to guide task expansion
-  - ✅ DO: Prioritize complex tasks for more detailed breakdown
-  - ✅ DO: Use expansion prompts from complexity analysis
-
-  ```javascript
-  // ✅ DO: Apply complexity analysis to workflow
-  // Sort tasks by complexity if report exists, otherwise by ID
-  if (complexityReport && complexityReport.complexityAnalysis) {
-    log('info', 'Sorting tasks by complexity...');
+  // ✅ DO: Handle silent migration (implemented in utils.js)
+  function readJSON(filepath) {
+    let data = JSON.parse(fs.readFileSync(filepath, 'utf8'));
     
-    // Create a map of task IDs to complexity scores
-    const complexityMap = new Map();
-    complexityReport.complexityAnalysis.forEach(analysis => {
-      complexityMap.set(analysis.taskId, analysis.complexityScore);
-    });
+    // Silent migration for tasks.json files
+    if (data.tasks && Array.isArray(data.tasks) && !data.master && isTasksFile) {
+      const migratedData = {
+        master: {
+          tasks: data.tasks
+        }
+      };
+      writeJSON(filepath, migratedData);
+      data = migratedData;
+    }
     
-    // Sort tasks by complexity score (high to low)
-    tasksToExpand.sort((a, b) => {
-      const scoreA = complexityMap.get(a.id) || 0;
-      const scoreB = complexityMap.get(b.id) || 0;
-      return scoreB - scoreA;
-    });
+    return data;
   }
   ```
 
-## Next Task Selection
-
-- **Eligibility Criteria**:
-  - ✅ DO: Consider dependencies when finding next tasks
-  - ✅ DO: Prioritize by task priority and dependency count
-  - ✅ DO: Skip completed tasks
+- **Tag Resolution**:
+  - ✅ DO: Use tag resolution functions to maintain backward compatibility
+  - ✅ DO: Return legacy format to core functions
+  - ❌ DON'T: Expose tagged structure to existing core logic
 
   ```javascript
-  // ✅ DO: Use proper task prioritization logic
-  function findNextTask(tasks) {
-    // Get all completed task IDs
-    const completedTaskIds = new Set(
-      tasks
-        .filter(t => t.status === 'done' || t.status === 'completed')
-        .map(t => t.id)
-    );
+  // ✅ DO: Use tag resolution layer
+  function getTasksForTag(data, tagName) {
+    if (data.tasks && Array.isArray(data.tasks)) {
+      // Legacy format - return as-is
+      return data.tasks;
+    }
     
-    // Filter for pending tasks whose dependencies are all satisfied
-    const eligibleTasks = tasks.filter(task => 
-      (task.status === 'pending' || task.status === 'in-progress') && 
-      task.dependencies && 
-      task.dependencies.every(depId => completedTaskIds.has(depId))
-    );
+    if (data[tagName] && data[tagName].tasks) {
+      // Tagged format - return tasks for specified tag
+      return data[tagName].tasks;
+    }
     
-    // Sort by priority, dependency count, and ID
-    const priorityValues = { 'high': 3, 'medium': 2, 'low': 1 };
-    
-    const nextTask = eligibleTasks.sort((a, b) => {
-      // Priority first
-      const priorityA = priorityValues[a.priority || 'medium'] || 2;
-      const priorityB = priorityValues[b.priority || 'medium'] || 2;
-      
-      if (priorityB !== priorityA) {
-        return priorityB - priorityA; // Higher priority first
-      }
-      
-      // Dependency count next
-      if (a.dependencies.length !== b.dependencies.length) {
-        return a.dependencies.length - b.dependencies.length; // Fewer dependencies first
-      }
-      
-      // ID last
-      return a.id - b.id; // Lower ID first
-    })[0];
-    
-    return nextTask;
+    return [];
   }
   ```
 

.cursor/rules/telemetry.mdc

@@ -0,0 +1,228 @@
+---
+description: Guidelines for integrating AI usage telemetry across Task Master.
+globs: scripts/modules/**/*.js,mcp-server/src/**/*.js
+alwaysApply: true
+---
+
+# AI Usage Telemetry Integration
+
+This document outlines the standard pattern for capturing, propagating, and handling AI usage telemetry data (cost, tokens, model, etc.) across the Task Master stack. This ensures consistent telemetry for both CLI and MCP interactions.
+
+## Overview
+
+Telemetry data is generated within the unified AI service layer ([`ai-services-unified.js`](mdc:scripts/modules/ai-services-unified.js)) and then passed upwards through the calling functions.
+
+- **Data Source**: [`ai-services-unified.js`](mdc:scripts/modules/ai-services-unified.js) (specifically its `generateTextService`, `generateObjectService`, etc.) returns an object like `{ mainResult: AI_CALL_OUTPUT, telemetryData: TELEMETRY_OBJECT }`.
+- **`telemetryData` Object Structure**:
+  ```json
+  {
+    "timestamp": "ISO_STRING_DATE",
+    "userId": "USER_ID_FROM_CONFIG",
+    "commandName": "invoking_command_or_tool_name",
+    "modelUsed": "ai_model_id",
+    "providerName": "ai_provider_name",
+    "inputTokens": NUMBER,
+    "outputTokens": NUMBER,
+    "totalTokens": NUMBER,
+    "totalCost": NUMBER, // e.g., 0.012414
+    "currency": "USD" // e.g., "USD"
+  }
+  ```
+
+## Integration Pattern by Layer
+
+The key principle is that each layer receives telemetry data from the layer below it (if applicable) and passes it to the layer above it, or handles it for display in the case of the CLI.
+
+### 1. Core Logic Functions (e.g., in `scripts/modules/task-manager/`)
+
+Functions in this layer that invoke AI services are responsible for handling the `telemetryData` they receive from [`ai-services-unified.js`](mdc:scripts/modules/ai-services-unified.js).
+
+- **Actions**:
+    1.  Call the appropriate AI service function (e.g., `generateObjectService`).
+        -   Pass `commandName` (e.g., `add-task`, `expand-task`) and `outputType` (e.g., `cli` or `mcp`) in the `params` object to the AI service. The `outputType` can be derived from context (e.g., presence of `mcpLog`).
+    2.  The AI service returns an object, e.g., `aiServiceResponse = { mainResult: {/*AI output*/}, telemetryData: {/*telemetry data*/} }`.
+    3.  Extract `aiServiceResponse.mainResult` for the core processing.
+    4.  **Must return an object that includes `aiServiceResponse.telemetryData`**.
+        Example: `return { operationSpecificData: /*...*/, telemetryData: aiServiceResponse.telemetryData };`
+
+- **CLI Output Handling (If Applicable)**:
+    -   If the core function also handles CLI output (e.g., it has an `outputFormat` parameter that can be `'text'` or `'cli'`):
+        1.  Check if `outputFormat === 'text'` (or `'cli'`).
+        2.  If so, and if `aiServiceResponse.telemetryData` is available, call `displayAiUsageSummary(aiServiceResponse.telemetryData, 'cli')` from [`scripts/modules/ui.js`](mdc:scripts/modules/ui.js).
+        - This ensures telemetry is displayed directly to CLI users after the main command output.
+
+- **Example Snippet (Core Logic in `scripts/modules/task-manager/someAiAction.js`)**:
+  ```javascript
+  import { generateObjectService } from '../ai-services-unified.js';
+  import { displayAiUsageSummary } from '../ui.js';
+
+  async function performAiRelatedAction(params, context, outputFormat = 'text') {
+    const { commandNameFromContext, /* other context vars */ } = context;
+    let aiServiceResponse = null;
+
+    try {
+      aiServiceResponse = await generateObjectService({
+        // ... other parameters for AI service ...
+        commandName: commandNameFromContext || 'default-action-name',
+        outputType: context.mcpLog ? 'mcp' : 'cli' // Derive outputType
+      });
+
+      const usefulAiOutput = aiServiceResponse.mainResult.object;
+      // ... do work with usefulAiOutput ...
+
+      if (outputFormat === 'text' && aiServiceResponse.telemetryData) {
+        displayAiUsageSummary(aiServiceResponse.telemetryData, 'cli');
+      }
+
+      return {
+        actionData: /* results of processing */,
+        telemetryData: aiServiceResponse.telemetryData
+      };
+    } catch (error) {
+      // ... handle error ...
+      throw error;
+    }
+  }
+  ```
+
+### 2. Direct Function Wrappers (in `mcp-server/src/core/direct-functions/`)
+
+These functions adapt core logic for the MCP server, ensuring structured responses.
+
+- **Actions**:
+    1.  Call the corresponding core logic function.
+        -   Pass necessary context (e.g., `session`, `mcpLog`, `projectRoot`).
+        -   Provide the `commandName` (typically derived from the MCP tool name) and `outputType: 'mcp'` in the context object passed to the core function.
+        -   If the core function supports an `outputFormat` parameter, pass `'json'` to suppress CLI-specific UI.
+    2.  The core logic function returns an object (e.g., `coreResult = { actionData: ..., telemetryData: ... }`).
+    3.  Include `coreResult.telemetryData` as a field within the `data` object of the successful response returned by the direct function.
+
+- **Example Snippet (Direct Function `someAiActionDirect.js`)**:
+  ```javascript
+  import { performAiRelatedAction } from '../../../../scripts/modules/task-manager/someAiAction.js'; // Core function
+  import { createLogWrapper } from '../../tools/utils.js'; // MCP Log wrapper
+
+  export async function someAiActionDirect(args, log, context = {}) {
+    const { session } = context;
+    // ... prepare arguments for core function from args, including args.projectRoot ...
+
+    try {
+      const coreResult = await performAiRelatedAction(
+        { /* parameters for core function */ },
+        { // Context for core function
+          session,
+          mcpLog: createLogWrapper(log),
+          projectRoot: args.projectRoot,
+          commandNameFromContext: 'mcp_tool_some_ai_action', // Example command name
+          outputType: 'mcp'
+        },
+        'json' // Request 'json' output format from core function
+      );
+
+      return {
+        success: true,
+        data: {
+          operationSpecificData: coreResult.actionData,
+          telemetryData: coreResult.telemetryData // Pass telemetry through
+        }
+      };
+    } catch (error) {
+      // ... error handling, return { success: false, error: ... } ...
+    }
+  }
+  ```
+
+### 3. MCP Tools (in `mcp-server/src/tools/`)
+
+These are the exposed endpoints for MCP clients.
+
+- **Actions**:
+    1.  Call the corresponding direct function wrapper.
+    2.  The direct function returns an object structured like `{ success: true, data: { operationSpecificData: ..., telemetryData: ... } }` (or an error object).
+    3.  Pass this entire result object to `handleApiResult(result, log)` from [`mcp-server/src/tools/utils.js`](mdc:mcp-server/src/tools/utils.js).
+    4.  `handleApiResult` ensures that the `data` field from the direct function's response (which correctly includes `telemetryData`) is part of the final MCP response.
+
+- **Example Snippet (MCP Tool `some_ai_action.js`)**:
+  ```javascript
+  import { someAiActionDirect } from '../core/task-master-core.js';
+  import { handleApiResult, withNormalizedProjectRoot } from './utils.js';
+  // ... zod for parameters ...
+
+  export function registerSomeAiActionTool(server) {
+    server.addTool({
+      name: "some_ai_action",
+      // ... description, parameters ...
+      execute: withNormalizedProjectRoot(async (args, { log, session }) => {
+        try {
+          const resultFromDirectFunction = await someAiActionDirect(
+            { /* args including projectRoot */ },
+            log,
+            { session }
+          );
+          return handleApiResult(resultFromDirectFunction, log); // This passes the nested telemetryData through
+        } catch (error) {
+          // ... error handling ...
+        }
+      })
+    });
+  }
+  ```
+
+### 4. CLI Commands (`scripts/modules/commands.js`)
+
+These define the command-line interface.
+
+- **Actions**:
+    1.  Call the appropriate core logic function.
+    2.  Pass `outputFormat: 'text'` (or ensure the core function defaults to text-based output for CLI).
+    3.  The core logic function (as per Section 1) is responsible for calling `displayAiUsageSummary` if telemetry data is available and it's in CLI mode.
+    4.  The command action itself **should not** call `displayAiUsageSummary` if the core logic function already handles this. This avoids duplicate display.
+
+- **Example Snippet (CLI Command in `commands.js`)**:
+  ```javascript
+  // In scripts/modules/commands.js
+  import { performAiRelatedAction } from './task-manager/someAiAction.js'; // Core function
+
+  programInstance
+    .command('some-cli-ai-action')
+    // ... .option() ...
+    .action(async (options) => {
+      try {
+        const projectRoot = findProjectRoot() || '.'; // Example root finding
+        // ... prepare parameters for core function from command options ...
+        await performAiRelatedAction(
+          { /* parameters for core function */ },
+          { // Context for core function
+            projectRoot,
+            commandNameFromContext: 'some-cli-ai-action',
+            outputType: 'cli'
+          },
+          'text' // Explicitly request text output format for CLI
+        );
+        // Core function handles displayAiUsageSummary internally for 'text' outputFormat
+      } catch (error) {
+        // ... error handling ...
+      }
+    });
+  ```
+
+## Summary Flow
+
+The telemetry data flows as follows:
+
+1.  **[`ai-services-unified.js`](mdc:scripts/modules/ai-services-unified.js)**: Generates `telemetryData` and returns `{ mainResult, telemetryData }`.
+2.  **Core Logic Function**:
+    *   Receives `{ mainResult, telemetryData }`.
+    *   Uses `mainResult`.
+    *   If CLI (`outputFormat: 'text'`), calls `displayAiUsageSummary(telemetryData)`.
+    *   Returns `{ operationSpecificData, telemetryData }`.
+3.  **Direct Function Wrapper**:
+    *   Receives `{ operationSpecificData, telemetryData }` from core logic.
+    *   Returns `{ success: true, data: { operationSpecificData, telemetryData } }`.
+4.  **MCP Tool**:
+    *   Receives direct function response.
+    *   `handleApiResult` ensures the final MCP response to the client is `{ success: true, data: { operationSpecificData, telemetryData } }`.
+5.  **CLI Command**:
+    *   Calls core logic with `outputFormat: 'text'`. Display is handled by core logic.
+
+This pattern ensures telemetry is captured and appropriately handled/exposed across all interaction modes.

.cursor/rules/tests.mdc

@@ -283,107 +283,97 @@ When testing ES modules (`"type": "module"` in package.json), traditional mockin
   - Imported functions may not use your mocked dependencies even with proper jest.mock() setup
   - ES module exports are read-only properties (cannot be reassigned during tests)
 
-- **Mocking Entire Modules**
+- **Mocking Modules Statically Imported**
+  - For modules imported with standard `import` statements at the top level:
+    - Use `jest.mock('path/to/module', factory)` **before** any imports.
+    - Jest hoists these mocks.
+    - Ensure the factory function returns the mocked structure correctly.
+
+- **Mocking Dependencies for Dynamically Imported Modules**
+  - **Problem**: Standard `jest.mock()` often fails for dependencies of modules loaded later using dynamic `import('path/to/module')`. The mocks aren't applied correctly when the dynamic import resolves.
+  - **Solution**: Use `jest.unstable_mockModule(modulePath, factory)` **before** the dynamic `import()` call.
   ```javascript
-  // Mock the entire module with custom implementation
-  jest.mock('../../scripts/modules/task-manager.js', () => {
-    // Get original implementation for functions you want to preserve
-    const originalModule = jest.requireActual('../../scripts/modules/task-manager.js');
-    
-    // Return mix of original and mocked functionality
-    return {
-      ...originalModule,
-      generateTaskFiles: jest.fn() // Replace specific functions
-    };
+  // 1. Define mock function instances
+  const mockExistsSync = jest.fn();
+  const mockReadFileSync = jest.fn();
+  // ... other mocks
+
+  // 2. Mock the dependency module *before* the dynamic import
+  jest.unstable_mockModule('fs', () => ({
+    __esModule: true, // Important for ES module mocks
+    // Mock named exports
+    existsSync: mockExistsSync,
+    readFileSync: mockReadFileSync,
+    // Mock default export if necessary
+    // default: { ... }
+  }));
+
+  // 3. Dynamically import the module under test (e.g., in beforeAll or test case)
+  let moduleUnderTest;
+  beforeAll(async () => {
+    // Ensure mocks are reset if needed before import
+    mockExistsSync.mockReset();
+    mockReadFileSync.mockReset();
+    // ... reset other mocks ...
+
+    // Import *after* unstable_mockModule is called
+    moduleUnderTest = await import('../../scripts/modules/module-using-fs.js');
   });
-  
-  // Import after mocks
-  import * as taskManager from '../../scripts/modules/task-manager.js';
-  
-  // Now you can use the mock directly
-  const { generateTaskFiles } = taskManager;
+
+  // 4. Now tests can use moduleUnderTest, and its 'fs' calls will hit the mocks
+  test('should use mocked fs.readFileSync', () => {
+    mockReadFileSync.mockReturnValue('mock data');
+    moduleUnderTest.readFileAndProcess();
+    expect(mockReadFileSync).toHaveBeenCalled();
+    // ... other assertions
+  });
+  ```
+  - ✅ **DO**: Call `jest.unstable_mockModule()` before `await import()`.
+  - ✅ **DO**: Include `__esModule: true` in the mock factory for ES modules.
+  - ✅ **DO**: Mock named and default exports as needed within the factory.
+  - ✅ **DO**: Reset mock functions (`mockFn.mockReset()`) before the dynamic import if they might have been called previously.
+
+- **Mocking Entire Modules (Static Import)**
+  ```javascript
+  // Mock the entire module with custom implementation for static imports
+  // ... (existing example remains valid) ...
   ```
 
 - **Direct Implementation Testing**
   - Instead of calling the actual function which may have module-scope reference issues:
   ```javascript
-  test('should perform expected actions', () => {
-    // Setup mocks for this specific test
-    mockReadJSON.mockImplementationOnce(() => sampleData);
-    
-    // Manually simulate the function's behavior
-    const data = mockReadJSON('path/file.json');
-    mockValidateAndFixDependencies(data, 'path/file.json');
-    
-    // Skip calling the actual function and verify mocks directly
-    expect(mockReadJSON).toHaveBeenCalledWith('path/file.json');
-    expect(mockValidateAndFixDependencies).toHaveBeenCalledWith(data, 'path/file.json');
-  });
+  // ... (existing example remains valid) ...
   ```
 
 - **Avoiding Module Property Assignment**
   ```javascript
-  // ❌ DON'T: This causes "Cannot assign to read only property" errors
-  const utils = await import('../../scripts/modules/utils.js');
-  utils.readJSON = mockReadJSON; // Error: read-only property
-  
-  // ✅ DO: Use the module factory pattern in jest.mock()
-  jest.mock('../../scripts/modules/utils.js', () => ({
-    readJSON: mockReadJSONFunc,
-    writeJSON: mockWriteJSONFunc
-  }));
+  // ... (existing example remains valid) ...
   ```
 
 - **Handling Mock Verification Failures**
   - If verification like `expect(mockFn).toHaveBeenCalled()` fails:
-    1. Check that your mock setup is before imports
-    2. Ensure you're using the right mock instance
-    3. Verify your test invokes behavior that would call the mock
-    4. Use `jest.clearAllMocks()` in beforeEach to reset mock state
-    5. Consider implementing a simpler test that directly verifies mock behavior
-
-- **Full Example Pattern**
-  ```javascript
-  // 1. Define mock implementations
-  const mockReadJSON = jest.fn();
-  const mockValidateAndFixDependencies = jest.fn();
-  
-  // 2. Mock modules
-  jest.mock('../../scripts/modules/utils.js', () => ({
-    readJSON: mockReadJSON,
-    // Include other functions as needed
-  }));
-  
-  jest.mock('../../scripts/modules/dependency-manager.js', () => ({
-    validateAndFixDependencies: mockValidateAndFixDependencies
-  }));
-  
-  // 3. Import after mocks
-  import * as taskManager from '../../scripts/modules/task-manager.js';
-  
-  describe('generateTaskFiles function', () => {
-    beforeEach(() => {
-      jest.clearAllMocks();
-    });
-    
-    test('should generate task files', () => {
-      // 4. Setup test-specific mock behavior
-      const sampleData = { tasks: [{ id: 1, title: 'Test' }] };
-      mockReadJSON.mockReturnValueOnce(sampleData);
-      
-      // 5. Create direct implementation test
-      // Instead of calling: taskManager.generateTaskFiles('path', 'dir')
-      
-      // Simulate reading data
-      const data = mockReadJSON('path');
-      expect(mockReadJSON).toHaveBeenCalledWith('path');
-      
-      // Simulate other operations the function would perform
-      mockValidateAndFixDependencies(data, 'path');
-      expect(mockValidateAndFixDependencies).toHaveBeenCalledWith(data, 'path');
-    });
-  });
-  ```
+    1.  Check that your mock setup (`jest.mock` or `jest.unstable_mockModule`) is correctly placed **before** imports (static or dynamic).
+    2.  Ensure you're using the right mock instance and it's properly passed to the module.
+    3.  Verify your test invokes behavior that *should* call the mock.
+    4.  Use `jest.clearAllMocks()` or specific `mockFn.mockReset()` in `beforeEach` to prevent state leakage between tests.
+    5.  **Check Console Assertions**: If verifying `console.log`, `console.warn`, or `console.error` calls, ensure your assertion matches the *actual* arguments passed. If the code logs a single formatted string, assert against that single string (using `expect.stringContaining` or exact match), not multiple `expect.stringContaining` arguments.
+        ```javascript
+        // Example: Code logs console.error(`Error: ${message}. Details: ${details}`)
+        // ❌ DON'T: Assert multiple arguments if only one is logged
+        // expect(console.error).toHaveBeenCalledWith(
+        //   expect.stringContaining('Error:'),
+        //   expect.stringContaining('Details:')
+        // );
+        // ✅ DO: Assert the single string argument
+        expect(console.error).toHaveBeenCalledWith(
+           expect.stringContaining('Error: Specific message. Details: More details')
+        );
+        // or for exact match:
+        expect(console.error).toHaveBeenCalledWith(
+           'Error: Specific message. Details: More details'
+        );
+        ```
+    6.  Consider implementing a simpler test that *only* verifies the mock behavior in isolation.
 
 ## Mocking Guidelines
 

.cursor/rules/ui.mdc

@@ -150,4 +150,91 @@ alwaysApply: false
   ));
   ```
 
-Refer to [`ui.js`](mdc:scripts/modules/ui.js) for implementation examples and [`new_features.mdc`](mdc:.cursor/rules/new_features.mdc) for integration guidelines. 
+## Enhanced Display Patterns
+
+### **Token Breakdown Display**
+- Use detailed, granular token breakdowns for AI-powered commands
+- Display context sources with individual token counts
+- Show both token count and character count for transparency
+
+  ```javascript
+  // ✅ DO: Display detailed token breakdown
+  function displayDetailedTokenBreakdown(tokenBreakdown, systemTokens, userTokens) {
+    const sections = [];
+    
+    if (tokenBreakdown.tasks?.length > 0) {
+      const taskDetails = tokenBreakdown.tasks.map(task => 
+        `${task.type === 'subtask' ? '  ' : ''}${task.id}: ${task.tokens.toLocaleString()}`
+      ).join('\n');
+      sections.push(`Tasks (${tokenBreakdown.tasks.reduce((sum, t) => sum + t.tokens, 0).toLocaleString()}):\n${taskDetails}`);
+    }
+    
+    const content = sections.join('\n\n');
+    console.log(boxen(content, {
+      title: chalk.cyan('Token Usage'),
+      padding: { top: 1, bottom: 1, left: 2, right: 2 },
+      borderStyle: 'round',
+      borderColor: 'cyan'
+    }));
+  }
+  ```
+
+### **Code Block Syntax Highlighting**
+- Use `cli-highlight` library for syntax highlighting in terminal output
+- Process code blocks in AI responses for better readability
+
+  ```javascript
+  // ✅ DO: Enhance code blocks with syntax highlighting
+  import { highlight } from 'cli-highlight';
+  
+  function processCodeBlocks(text) {
+    return text.replace(/```(\w+)?\n([\s\S]*?)```/g, (match, language, code) => {
+      try {
+        const highlighted = highlight(code.trim(), { 
+          language: language || 'javascript',
+          theme: 'default'
+        });
+        return `\n${highlighted}\n`;
+      } catch (error) {
+        return `\n${code.trim()}\n`;
+      }
+    });
+  }
+  ```
+
+### **Multi-Section Result Display**
+- Use separate boxes for headers, content, and metadata
+- Maintain consistent styling across different result types
+
+  ```javascript
+  // ✅ DO: Use structured result display
+  function displayResults(result, query, detailLevel) {
+    // Header with query info
+    const header = boxen(
+      chalk.green.bold('Research Results') + '\n\n' +
+      chalk.gray('Query: ') + chalk.white(query) + '\n' +
+      chalk.gray('Detail Level: ') + chalk.cyan(detailLevel),
+      {
+        padding: { top: 1, bottom: 1, left: 2, right: 2 },
+        margin: { top: 1, bottom: 0 },
+        borderStyle: 'round',
+        borderColor: 'green'
+      }
+    );
+    console.log(header);
+    
+    // Process and display main content
+    const processedResult = processCodeBlocks(result);
+    const contentBox = boxen(processedResult, {
+      padding: { top: 1, bottom: 1, left: 2, right: 2 },
+      margin: { top: 0, bottom: 1 },
+      borderStyle: 'single',
+      borderColor: 'gray'
+    });
+    console.log(contentBox);
+    
+    console.log(chalk.green('✓ Operation complete'));
+  }
+  ```
+
+Refer to [`ui.js`](mdc:scripts/modules/ui.js) for implementation examples, [`context_gathering.mdc`](mdc:.cursor/rules/context_gathering.mdc) for context display patterns, and [`new_features.mdc`](mdc:.cursor/rules/new_features.mdc) for integration guidelines. 

.cursor/rules/utilities.mdc

@@ -1,9 +1,8 @@
 ---
-description: Guidelines for implementing utility functions
-globs: scripts/modules/utils.js, mcp-server/src/**/*
+description: 
+globs: 
 alwaysApply: false
 ---
-
 # Utility Function Guidelines
 
 ## General Principles
@@ -47,7 +46,7 @@ alwaysApply: false
 - **Location**:
     - **Core CLI Utilities**: Place utilities used primarily by the core `task-master` CLI logic and command modules (`scripts/modules/*`) into [`scripts/modules/utils.js`](mdc:scripts/modules/utils.js).
     - **MCP Server Utilities**: Place utilities specifically designed to support the MCP server implementation into the appropriate subdirectories within `mcp-server/src/`.
-        - Path/Core Logic Helpers: [`mcp-server/src/core/utils/`](mdc:mcp-server/src/core/utils/) (e.g., `path-utils.js`).
+        - Path/Core Logic Helpers: [`mcp-server/src/core/utils/`](mdc:mcp-server/src/core/utils) (e.g., `path-utils.js`).
         - Tool Execution/Response Helpers: [`mcp-server/src/tools/utils.js`](mdc:mcp-server/src/tools/utils.js).
 
 ## Documentation Standards
@@ -79,28 +78,30 @@ alwaysApply: false
   }
   ```
 
-## Configuration Management (in `scripts/modules/utils.js`)
+## Configuration Management (via `config-manager.js`)
 
-- **Environment Variables**:
-  - ✅ DO: Provide default values for all configuration
-  - ✅ DO: Use environment variables for customization
-  - ✅ DO: Document available configuration options
-  - ❌ DON'T: Hardcode values that should be configurable
+Taskmaster configuration (excluding API keys) is primarily managed through the `.taskmasterconfig` file located in the project root and accessed via getters in [`scripts/modules/config-manager.js`](mdc:scripts/modules/config-manager.js).
 
-  ```javascript
-  // ✅ DO: Set up configuration with defaults and environment overrides
-  const CONFIG = {
-    model: process.env.MODEL || 'claude-3-opus-20240229', // Updated default model
-    maxTokens: parseInt(process.env.MAX_TOKENS || '4000'),
-    temperature: parseFloat(process.env.TEMPERATURE || '0.7'),
-    debug: process.env.DEBUG === "true",
-    logLevel: process.env.LOG_LEVEL || "info",
-    defaultSubtasks: parseInt(process.env.DEFAULT_SUBTASKS || "3"),
-    defaultPriority: process.env.DEFAULT_PRIORITY || "medium",
-    projectName: process.env.PROJECT_NAME || "Task Master Project", // Generic project name
-    projectVersion: "1.5.0" // Version should be updated via release process
-  };
-  ```
+- **`.taskmasterconfig` File**:
+  - ✅ DO: Use this JSON file to store settings like AI model selections (main, research, fallback), parameters (temperature, maxTokens), logging level, default priority/subtasks, etc.
+  - ✅ DO: Manage this file using the `task-master models --setup` CLI command or the `models` MCP tool.
+  - ✅ DO: Rely on [`config-manager.js`](mdc:scripts/modules/config-manager.js) to load this file (using the correct project root passed from MCP or found via CLI utils), merge with defaults, and provide validated settings.
+  - ❌ DON'T: Store API keys in this file.
+  - ❌ DON'T: Manually edit this file unless necessary.
+
+- **Configuration Getters (`config-manager.js`)**:
+  - ✅ DO: Import and use specific getters from `config-manager.js` (e.g., `getMainProvider()`, `getLogLevel()`, `getMainMaxTokens()`) to access configuration values *needed for application logic* (like `getDefaultSubtasks`).
+  - ✅ DO: Pass the `explicitRoot` parameter to getters if calling from MCP direct functions to ensure the correct project's config is loaded.
+  - ❌ DON'T: Call AI-specific getters (like `getMainModelId`, `getMainMaxTokens`) from core logic functions (`scripts/modules/task-manager/*`). Instead, pass the `role` to the unified AI service.
+  - ❌ DON'T: Access configuration values directly from environment variables (except API keys).
+
+- **API Key Handling (`utils.js` & `ai-services-unified.js`)**:
+  - ✅ DO: Store API keys **only** in `.env` (for CLI, loaded by `dotenv` in `scripts/dev.js`) or `.cursor/mcp.json` (for MCP, accessed via `session.env`).
+  - ✅ DO: Use `isApiKeySet(providerName, session)` from `config-manager.js` to check if a provider's key is available *before* potentially attempting an AI call if needed, but note the unified service performs its own internal check.
+  - ✅ DO: Understand that the unified service layer (`ai-services-unified.js`) internally resolves API keys using `resolveEnvVariable(key, session)` from `utils.js`.
+
+- **Error Handling**:
+  - ✅ DO: Handle potential `ConfigurationError` if the `.taskmasterconfig` file is missing or invalid when accessed via `getConfig` (e.g., in `commands.js` or direct functions).
 
 ## Logging Utilities (in `scripts/modules/utils.js`)
 
@@ -109,7 +110,7 @@ alwaysApply: false
   - ✅ DO: Use appropriate icons for different log levels
   - ✅ DO: Respect the configured log level
   - ❌ DON'T: Add direct console.log calls outside the logging utility
-  - **Note on Passed Loggers**: When a logger object (like the FastMCP `log` object) is passed *as a parameter* (e.g., as `mcpLog`) into core Task Master functions, the receiving function often expects specific methods (`.info`, `.warn`, `.error`, etc.) to be directly callable on that object (e.g., `mcpLog[level](...)`). If the passed logger doesn't have this exact structure, a wrapper object may be needed. See the **Handling Logging Context (`mcpLog`)** section in [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc) for the standard pattern used in direct functions.
+  - **Note on Passed Loggers**: When a logger object (like the FastMCP `log` object) is passed *as a parameter* (e.g., as `mcpLog`) into core Task Master functions, the receiving function often expects specific methods (`.info`, `.warn`, `.error`, etc.) to be directly callable on that object (e.g., `mcpLog[level](mdc:...)`). If the passed logger doesn't have this exact structure, a wrapper object may be needed. See the **Handling Logging Context (`mcpLog`)** section in [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc) for the standard pattern used in direct functions.
 
 - **Logger Wrapper Pattern**: 
   - ✅ DO: Use the logger wrapper pattern when passing loggers to prevent `mcpLog[level] is not a function` errors:
@@ -427,36 +428,69 @@ alwaysApply: false
 
 ## MCP Server Tool Utilities (`mcp-server/src/tools/utils.js`)
 
-- **Purpose**: These utilities specifically support the MCP server tools ([`mcp-server/src/tools/*.js`](mdc:mcp-server/src/tools/*.js)), handling MCP communication patterns, response formatting, caching integration, and the CLI fallback mechanism.
-- **Refer to [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc)** for detailed usage patterns within the MCP tool `execute` methods and direct function wrappers.
+These utilities specifically support the implementation and execution of MCP tools.
 
-- **`getProjectRootFromSession(session, log)`**: 
-    - ✅ **DO**: Call this utility **within the MCP tool's `execute` method** to extract the project root path from the `session` object.
-    - Decodes the `file://` URI and handles potential errors.
-    - Returns the project path string or `null`.
-    - The returned path should then be passed in the `args` object when calling the corresponding `*Direct` function (e.g., `yourDirectFunction({ ...args, projectRoot: rootFolder }, log)`).
+- **`normalizeProjectRoot(rawPath, log)`**:
+    - **Purpose**: Takes a raw project root path (potentially URI encoded, with `file://` prefix, Windows slashes) and returns a normalized, absolute path suitable for the server's OS.
+    - **Logic**: Decodes URI, strips `file://`, handles Windows drive prefix (`/C:/`), replaces `\` with `/`, uses `path.resolve()`.
+    - **Usage**: Used internally by `withNormalizedProjectRoot` HOF.
+
+- **`getRawProjectRootFromSession(session, log)`**:
+    - **Purpose**: Extracts the *raw* project root URI string from the session object (`session.roots[0].uri` or `session.roots.roots[0].uri`) without performing normalization.
+    - **Usage**: Used internally by `withNormalizedProjectRoot` HOF as a fallback if `args.projectRoot` isn't provided.
+
+- **`withNormalizedProjectRoot(executeFn)`**:
+    - **Purpose**: A Higher-Order Function (HOF) designed to wrap a tool's `execute` method.
+    - **Logic**: 
+        1. Determines the raw project root (from `args.projectRoot` or `getRawProjectRootFromSession`).
+        2. Normalizes the raw path using `normalizeProjectRoot`.
+        3. Injects the normalized, absolute path back into the `args` object as `args.projectRoot`.
+        4. Calls the original `executeFn` with the updated `args`.
+    - **Usage**: Should wrap the `execute` function of *every* MCP tool that needs a reliable, normalized project root path.
+    - **Example**:
+      ```javascript
+      // In mcp-server/src/tools/your-tool.js
+      import { withNormalizedProjectRoot } from './utils.js';
+      
+      export function registerYourTool(server) {
+          server.addTool({
+              // ... name, description, parameters ...
+              execute: withNormalizedProjectRoot(async (args, context) => {
+                  // args.projectRoot is now normalized here
+                  const { projectRoot /*, other args */ } = args;
+                  // ... rest of tool logic using normalized projectRoot ...
+              })
+          });
+      }
+      ```
 
 - **`handleApiResult(result, log, errorPrefix, processFunction)`**:
-    - ✅ **DO**: Call this from the MCP tool's `execute` method after receiving the result from the `*Direct` function wrapper.
-    - Takes the standard `{ success, data/error, fromCache }` object.
-    - Formats the standard MCP success or error response, including the `fromCache` flag.
-    - Uses `processMCPResponseData` by default to filter response data.
-
-- **`executeTaskMasterCommand(command, log, args, projectRootRaw)`**:
-    - Executes a Task Master CLI command as a child process.
-    - Handles fallback between global `task-master` and local `node scripts/dev.js`.
-    - ❌ **DON'T**: Use this as the primary method for MCP tools. Prefer direct function calls via `*Direct` wrappers.
-
-- **`processMCPResponseData(taskOrData, fieldsToRemove)`**:
-    - Filters task data (e.g., removing `details`, `testStrategy`) before sending to the MCP client. Called by `handleApiResult`.
+    - **Purpose**: Standardizes the formatting of responses returned by direct functions (`{ success, data/error, fromCache }`) into the MCP response format.
+    - **Usage**: Call this at the end of the tool's `execute` method, passing the result from the direct function call.
 
 - **`createContentResponse(content)` / `createErrorResponse(errorMessage)`**:
-    - Formatters for standard MCP success/error responses.
+    - **Purpose**: Helper functions to create the basic MCP response structure for success or error messages.
+    - **Usage**: Used internally by `handleApiResult` and potentially directly for simple responses.
+
+- **`createLogWrapper(log)`**:
+    - **Purpose**: Creates a logger object wrapper with standard methods (`info`, `warn`, `error`, `debug`, `success`) mapping to the passed MCP `log` object's methods. Ensures compatibility when passing loggers to core functions.
+    - **Usage**: Used within direct functions before passing the `log` object down to core logic that expects the standard method names.
 
 - **`getCachedOrExecute({ cacheKey, actionFn, log })`**:
-    - ✅ **DO**: Use this utility *inside direct function wrappers* to implement caching.
-    - Checks cache, executes `actionFn` on miss, stores result.
-    - Returns standard `{ success, data/error, fromCache: boolean }`.
+    - **Purpose**: Utility for implementing caching within direct functions. Checks cache for `cacheKey`; if miss, executes `actionFn`, caches successful result, and returns.
+    - **Usage**: Wrap the core logic execution within a direct function call.
+
+- **`processMCPResponseData(taskOrData, fieldsToRemove)`**:
+    - **Purpose**: Utility to filter potentially sensitive or large fields (like `details`, `testStrategy`) from task objects before sending the response back via MCP.
+    - **Usage**: Passed as the default `processFunction` to `handleApiResult`.
+
+- **`getProjectRootFromSession(session, log)`**:
+    - **Purpose**: Legacy function to extract *and normalize* the project root from the session. Replaced by the HOF pattern but potentially still used.
+    - **Recommendation**: Prefer using the `withNormalizedProjectRoot` HOF in tools instead of calling this directly.
+
+- **`executeTaskMasterCommand(...)`**: 
+    - **Purpose**: Executes `task-master` CLI command as a fallback. 
+    - **Recommendation**: Deprecated for most uses; prefer direct function calls.
 
 ## Export Organization
 
@@ -514,4 +548,628 @@ export {
 };
 ```
 
-Refer to [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc) and [`architecture.mdc`](mdc:.cursor/rules/architecture.mdc) for more context on MCP server architecture and integration. 
+## Context Gathering Utilities
+
+### **ContextGatherer** (`scripts/modules/utils/contextGatherer.js`)
+
+- **Multi-Source Context Extraction**:
+  - ✅ DO: Use for AI-powered commands that need project context
+  - ✅ DO: Support tasks, files, custom text, and project tree context
+  - ✅ DO: Implement detailed token counting with `gpt-tokens` library
+  - ✅ DO: Provide multiple output formats (research, chat, system-prompt)
+
+  ```javascript
+  // ✅ DO: Use ContextGatherer for consistent context extraction
+  import { ContextGatherer } from '../utils/contextGatherer.js';
+  
+  const gatherer = new ContextGatherer(projectRoot, tasksPath);
+  const result = await gatherer.gather({
+    tasks: ['15', '16.2'],
+    files: ['src/api.js'],
+    customContext: 'Additional context',
+    includeProjectTree: true,
+    format: 'research',
+    includeTokenCounts: true
+  });
+  ```
+
+### **FuzzyTaskSearch** (`scripts/modules/utils/fuzzyTaskSearch.js`)
+
+- **Intelligent Task Discovery**:
+  - ✅ DO: Use for automatic task relevance detection
+  - ✅ DO: Configure search parameters based on use case context
+  - ✅ DO: Implement purpose-based categorization for better matching
+  - ✅ DO: Sort results by relevance score and task ID
+
+  ```javascript
+  // ✅ DO: Use FuzzyTaskSearch for intelligent task discovery
+  import { FuzzyTaskSearch } from '../utils/fuzzyTaskSearch.js';
+  
+  const fuzzySearch = new FuzzyTaskSearch(tasksData.tasks, 'research');
+  const searchResults = fuzzySearch.findRelevantTasks(query, {
+    maxResults: 8,
+    includeRecent: true,
+    includeCategoryMatches: true
+  });
+  const taskIds = fuzzySearch.getTaskIds(searchResults);
+  ```
+
+- **Integration Guidelines**:
+  - ✅ DO: Use fuzzy search to supplement user-provided task IDs
+  - ✅ DO: Display discovered task IDs to users for transparency
+  - ✅ DO: Sort discovered task IDs numerically for better readability
+  - ❌ DON'T: Replace explicit user task selections with fuzzy results
+
+Refer to [`context_gathering.mdc`](mdc:.cursor/rules/context_gathering.mdc) for detailed implementation patterns, [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc) and [`architecture.mdc`](mdc:.cursor/rules/architecture.mdc) for more context on MCP server architecture and integration. 
+
+## File System Operations
+
+- **JSON File Handling**:
+  - ✅ DO: Use `readJSON` and `writeJSON` for all JSON operations
+  - ✅ DO: Include error handling for file operations
+  - ✅ DO: Validate JSON structure after reading
+  - ❌ DON'T: Use raw `fs.readFileSync` or `fs.writeFileSync` for JSON
+
+  ```javascript
+  // ✅ DO: Use utility functions with error handling
+  function readJSON(filepath) {
+    try {
+      if (!fs.existsSync(filepath)) {
+        return null; // or appropriate default
+      }
+      
+      let data = JSON.parse(fs.readFileSync(filepath, 'utf8'));
+      
+      // Silent migration for tasks.json files: Transform old format to tagged format
+      const isTasksFile = filepath.includes('tasks.json') || path.basename(filepath) === 'tasks.json';
+      
+      if (data && data.tasks && Array.isArray(data.tasks) && !data.master && isTasksFile) {
+        // Migrate from old format { "tasks": [...] } to new format { "master": { "tasks": [...] } }
+        const migratedData = {
+          master: {
+            tasks: data.tasks
+          }
+        };
+        
+        writeJSON(filepath, migratedData);
+        
+        // Set global flag for CLI notice and perform complete migration
+        global.taskMasterMigrationOccurred = true;
+        performCompleteTagMigration(filepath);
+        
+        data = migratedData;
+      }
+      
+      return data;
+    } catch (error) {
+      log('error', `Failed to read JSON from ${filepath}: ${error.message}`);
+      return null;
+    }
+  }
+  
+  function writeJSON(filepath, data) {
+    try {
+      const dirPath = path.dirname(filepath);
+      if (!fs.existsSync(dirPath)) {
+        fs.mkdirSync(dirPath, { recursive: true });
+      }
+      fs.writeFileSync(filepath, JSON.stringify(data, null, 2));
+    } catch (error) {
+      log('error', `Failed to write JSON to ${filepath}: ${error.message}`);
+      throw error;
+    }
+  }
+  ```
+
+- **Path Resolution**:
+  - ✅ DO: Use `path.join()` for cross-platform path construction
+  - ✅ DO: Use `path.resolve()` for absolute paths
+  - ✅ DO: Validate paths before file operations
+
+  ```javascript
+  // ✅ DO: Handle paths correctly
+  function findProjectRoot(startPath = process.cwd()) {
+    let currentPath = path.resolve(startPath);
+    const rootPath = path.parse(currentPath).root;
+    
+    while (currentPath !== rootPath) {
+      const taskMasterPath = path.join(currentPath, '.taskmaster');
+      if (fs.existsSync(taskMasterPath)) {
+        return currentPath;
+      }
+      currentPath = path.dirname(currentPath);
+    }
+    
+    return null; // Not found
+  }
+  ```
+
+## Tagged Task Lists System Utilities
+
+- **Tag Resolution Functions**:
+  - ✅ DO: Use tag resolution layer for all task data access
+  - ✅ DO: Provide backward compatibility with legacy format
+  - ✅ DO: Default to "master" tag when no tag is specified
+
+  ```javascript
+  // ✅ DO: Implement tag resolution functions
+  function getTasksForTag(data, tagName = 'master') {
+    if (!data) {
+      return [];
+    }
+    
+    // Handle legacy format - direct tasks array
+    if (data.tasks && Array.isArray(data.tasks)) {
+      return data.tasks;
+    }
+    
+    // Handle tagged format - tasks under specific tag
+    if (data[tagName] && data[tagName].tasks && Array.isArray(data[tagName].tasks)) {
+      return data[tagName].tasks;
+    }
+    
+    return [];
+  }
+  
+  function setTasksForTag(data, tagName = 'master', tasks) {
+    // Ensure data object exists
+    if (!data) {
+      data = {};
+    }
+    
+    // Create tag structure if it doesn't exist
+    if (!data[tagName]) {
+      data[tagName] = {};
+    }
+    
+    // Set tasks for the tag
+    data[tagName].tasks = tasks;
+    
+    return data;
+  }
+  
+  function getCurrentTag() {
+    // Get current tag from state.json or default to 'master'
+    try {
+      const projectRoot = findProjectRoot();
+      if (!projectRoot) return 'master';
+      
+      const statePath = path.join(projectRoot, '.taskmaster', 'state.json');
+      if (fs.existsSync(statePath)) {
+        const state = readJSON(statePath);
+        return state.currentTag || 'master';
+      }
+    } catch (error) {
+      log('debug', `Error reading current tag: ${error.message}`);
+    }
+    
+    return 'master';
+  }
+  ```
+
+- **Migration Functions**:
+  - ✅ DO: Implement complete migration for all related files
+  - ✅ DO: Handle configuration and state file creation
+  - ✅ DO: Provide migration status tracking
+
+  ```javascript
+  // ✅ DO: Implement complete migration system
+  function performCompleteTagMigration(tasksJsonPath) {
+    try {
+      // Derive project root from tasks.json path
+      const projectRoot = findProjectRoot(path.dirname(tasksJsonPath)) || path.dirname(tasksJsonPath);
+      
+      // 1. Migrate config.json - add defaultTag and tags section
+      const configPath = path.join(projectRoot, '.taskmaster', 'config.json');
+      if (fs.existsSync(configPath)) {
+        migrateConfigJson(configPath);
+      }
+      
+      // 2. Create state.json if it doesn't exist
+      const statePath = path.join(projectRoot, '.taskmaster', 'state.json');
+      if (!fs.existsSync(statePath)) {
+        createStateJson(statePath);
+      }
+      
+      if (getDebugFlag()) {
+        log('debug', 'Completed tagged task lists migration for project');
+      }
+    } catch (error) {
+      if (getDebugFlag()) {
+        log('warn', `Error during complete tag migration: ${error.message}`);
+      }
+    }
+  }
+  
+  function migrateConfigJson(configPath) {
+    try {
+      const config = readJSON(configPath);
+      if (!config) return;
+      
+      let modified = false;
+      
+      // Add global.defaultTag if missing
+      if (!config.global) {
+        config.global = {};
+      }
+      if (!config.global.defaultTag) {
+        config.global.defaultTag = 'master';
+        modified = true;
+      }
+      
+      // Add tags section if missing
+      if (!config.tags) {
+        config.tags = {
+                  // Git integration settings removed - now manual only
+        };
+        modified = true;
+      }
+      
+      if (modified) {
+        writeJSON(configPath, config);
+        if (getDebugFlag()) {
+          log('debug', 'Updated config.json with tagged task system settings');
+        }
+      }
+    } catch (error) {
+      if (getDebugFlag()) {
+        log('warn', `Error migrating config.json: ${error.message}`);
+      }
+    }
+  }
+  
+  function createStateJson(statePath) {
+    try {
+      const initialState = {
+        currentTag: 'master',
+        lastSwitched: new Date().toISOString(),
+        migrationNoticeShown: false
+      };
+      
+      writeJSON(statePath, initialState);
+      if (getDebugFlag()) {
+        log('debug', 'Created initial state.json for tagged task system');
+      }
+    } catch (error) {
+      if (getDebugFlag()) {
+        log('warn', `Error creating state.json: ${error.message}`);
+      }
+    }
+  }
+  
+  function markMigrationForNotice() {
+    try {
+      const projectRoot = findProjectRoot();
+      if (!projectRoot) return;
+      
+      const statePath = path.join(projectRoot, '.taskmaster', 'state.json');
+      const state = readJSON(statePath) || {};
+      
+      state.migrationNoticeShown = false; // Reset to show notice
+      writeJSON(statePath, state);
+    } catch (error) {
+      if (getDebugFlag()) {
+        log('warn', `Error marking migration for notice: ${error.message}`);
+      }
+    }
+  }
+  ```
+
+## Logging Functions
+
+- **Consistent Logging**:
+  - ✅ DO: Use the central `log` function for all output
+  - ✅ DO: Use appropriate log levels (info, warn, error, debug)
+  - ✅ DO: Support silent mode for programmatic usage
+
+  ```javascript
+  // ✅ DO: Implement consistent logging with silent mode
+  let silentMode = false;
+  
+  function log(level, ...messages) {
+    if (silentMode && level !== 'error') {
+      return; // Suppress non-error logs in silent mode
+    }
+    
+    const timestamp = new Date().toISOString();
+    const formattedMessage = messages.join(' ');
+    
+    switch (level) {
+      case 'error':
+        console.error(`[ERROR] ${formattedMessage}`);
+        break;
+      case 'warn':
+        console.warn(`[WARN] ${formattedMessage}`);
+        break;
+      case 'info':
+        console.log(`[INFO] ${formattedMessage}`);
+        break;
+      case 'debug':
+        if (getDebugFlag()) {
+          console.log(`[DEBUG] ${formattedMessage}`);
+        }
+        break;
+      default:
+        console.log(formattedMessage);
+    }
+  }
+  
+  function enableSilentMode() {
+    silentMode = true;
+  }
+  
+  function disableSilentMode() {
+    silentMode = false;
+  }
+  
+  function isSilentMode() {
+    return silentMode;
+  }
+  ```
+
+## Task Utilities
+
+- **Task Finding and Manipulation**:
+  - ✅ DO: Use tagged task system aware functions
+  - ✅ DO: Handle both task and subtask operations
+  - ✅ DO: Validate task IDs before operations
+
+  ```javascript
+  // ✅ DO: Implement tag-aware task utilities
+  function findTaskById(tasks, taskId) {
+    if (!Array.isArray(tasks)) {
+      return null;
+    }
+    return tasks.find(task => task.id === taskId) || null;
+  }
+  
+  function findSubtaskById(tasks, parentId, subtaskId) {
+    const parentTask = findTaskById(tasks, parentId);
+    if (!parentTask || !parentTask.subtasks) {
+      return null;
+    }
+    
+    return parentTask.subtasks.find(subtask => subtask.id === subtaskId) || null;
+  }
+  
+  function getNextTaskId(tasks) {
+    if (!Array.isArray(tasks) || tasks.length === 0) {
+      return 1;
+    }
+    
+    const maxId = Math.max(...tasks.map(task => task.id));
+    return maxId + 1;
+  }
+  
+  function getNextSubtaskId(parentTask) {
+    if (!parentTask.subtasks || parentTask.subtasks.length === 0) {
+      return 1;
+    }
+    
+    const maxId = Math.max(...parentTask.subtasks.map(subtask => subtask.id));
+    return maxId + 1;
+  }
+  ```
+
+## String Utilities
+
+- **Text Processing**:
+  - ✅ DO: Handle text truncation appropriately
+  - ✅ DO: Provide consistent formatting functions
+  - ✅ DO: Support different output formats
+
+  ```javascript
+  // ✅ DO: Implement useful string utilities
+  function truncate(str, maxLength = 50) {
+    if (!str || typeof str !== 'string') {
+      return '';
+    }
+    
+    if (str.length <= maxLength) {
+      return str;
+    }
+    
+    return str.substring(0, maxLength - 3) + '...';
+  }
+  
+  function formatDuration(ms) {
+    const seconds = Math.floor(ms / 1000);
+    const minutes = Math.floor(seconds / 60);
+    const hours = Math.floor(minutes / 60);
+    
+    if (hours > 0) {
+      return `${hours}h ${minutes % 60}m ${seconds % 60}s`;
+    } else if (minutes > 0) {
+      return `${minutes}m ${seconds % 60}s`;
+    } else {
+      return `${seconds}s`;
+    }
+  }
+  
+  function capitalizeFirst(str) {
+    if (!str || typeof str !== 'string') {
+      return '';
+    }
+    
+    return str.charAt(0).toUpperCase() + str.slice(1).toLowerCase();
+  }
+  ```
+
+## Dependency Management Utilities
+
+- **Dependency Analysis**:
+  - ✅ DO: Detect circular dependencies
+  - ✅ DO: Validate dependency references
+  - ✅ DO: Support cross-tag dependency checking (future enhancement)
+
+  ```javascript
+  // ✅ DO: Implement dependency utilities
+  function findCycles(tasks) {
+    const cycles = [];
+    const visited = new Set();
+    const recStack = new Set();
+    
+    function dfs(taskId, path = []) {
+      if (recStack.has(taskId)) {
+        // Found a cycle
+        const cycleStart = path.indexOf(taskId);
+        const cycle = path.slice(cycleStart).concat([taskId]);
+        cycles.push(cycle);
+        return;
+      }
+      
+      if (visited.has(taskId)) {
+        return;
+      }
+      
+      visited.add(taskId);
+      recStack.add(taskId);
+      
+      const task = findTaskById(tasks, taskId);
+      if (task && task.dependencies) {
+        task.dependencies.forEach(depId => {
+          dfs(depId, path.concat([taskId]));
+        });
+      }
+      
+      recStack.delete(taskId);
+    }
+    
+    tasks.forEach(task => {
+      if (!visited.has(task.id)) {
+        dfs(task.id);
+      }
+    });
+    
+    return cycles;
+  }
+  
+  function validateDependencies(tasks) {
+    const validationErrors = [];
+    const taskIds = new Set(tasks.map(task => task.id));
+    
+    tasks.forEach(task => {
+      if (task.dependencies) {
+        task.dependencies.forEach(depId => {
+          if (!taskIds.has(depId)) {
+            validationErrors.push({
+              taskId: task.id,
+              invalidDependency: depId,
+              message: `Task ${task.id} depends on non-existent task ${depId}`
+            });
+          }
+        });
+      }
+    });
+    
+    return validationErrors;
+  }
+  ```
+
+## Environment and Configuration Utilities
+
+- **Environment Variable Resolution**:
+  - ✅ DO: Support both `.env` files and MCP session environment
+  - ✅ DO: Provide fallbacks for missing values
+  - ✅ DO: Handle API key resolution correctly
+
+  ```javascript
+  // ✅ DO: Implement flexible environment resolution
+  function resolveEnvVariable(key, sessionEnv = null) {
+    // First check session environment (for MCP)
+    if (sessionEnv && sessionEnv[key]) {
+      return sessionEnv[key];
+    }
+    
+    // Then check process environment
+    if (process.env[key]) {
+      return process.env[key];
+    }
+    
+    // Finally try .env file if in project root
+    try {
+      const projectRoot = findProjectRoot();
+      if (projectRoot) {
+        const envPath = path.join(projectRoot, '.env');
+        if (fs.existsSync(envPath)) {
+          const envContent = fs.readFileSync(envPath, 'utf8');
+          const lines = envContent.split('\n');
+          
+          for (const line of lines) {
+            const [envKey, envValue] = line.split('=');
+            if (envKey && envKey.trim() === key) {
+              return envValue ? envValue.trim().replace(/^["']|["']$/g, '') : undefined;
+            }
+          }
+        }
+      }
+    } catch (error) {
+      log('debug', `Error reading .env file: ${error.message}`);
+    }
+    
+    return undefined;
+  }
+  
+  function getDebugFlag() {
+    const debugFlag = resolveEnvVariable('TASKMASTER_DEBUG') || 
+                     resolveEnvVariable('DEBUG') || 
+                     'false';
+    return debugFlag.toLowerCase() === 'true';
+  }
+  ```
+
+## Export Pattern
+
+- **Module Exports**:
+  - ✅ DO: Export all utility functions explicitly
+  - ✅ DO: Group related functions logically
+  - ✅ DO: Include new tagged system utilities
+
+  ```javascript
+  // ✅ DO: Export utilities in logical groups
+  module.exports = {
+    // File system utilities
+    readJSON,
+    writeJSON,
+    findProjectRoot,
+    
+    // Tagged task system utilities
+    getTasksForTag,
+    setTasksForTag,
+    getCurrentTag,
+    performCompleteTagMigration,
+    migrateConfigJson,
+    createStateJson,
+    markMigrationForNotice,
+    
+    // Logging utilities
+    log,
+    enableSilentMode,
+    disableSilentMode,
+    isSilentMode,
+    
+    // Task utilities
+    findTaskById,
+    findSubtaskById,
+    getNextTaskId,
+    getNextSubtaskId,
+    
+    // String utilities
+    truncate,
+    formatDuration,
+    capitalizeFirst,
+    
+    // Dependency utilities
+    findCycles,
+    validateDependencies,
+    
+    // Environment utilities
+    resolveEnvVariable,
+    getDebugFlag,
+    
+    // Legacy utilities (maintained for compatibility)
+    aggregateTelemetry
+  };
+  ```
+
+Refer to [`utils.js`](mdc:scripts/modules/utils.js) for implementation examples and [`architecture.mdc`](mdc:.cursor/rules/architecture.mdc) for integration patterns.

.env.example

@@ -1,20 +1,15 @@
-# API Keys (Required)
-ANTHROPIC_API_KEY=your_anthropic_api_key_here       # Format: sk-ant-api03-...
-PERPLEXITY_API_KEY=your_perplexity_api_key_here     # Format: pplx-...
+# API Keys (Required for using in any role i.e. main/research/fallback -- see `task-master models`)
+ANTHROPIC_API_KEY=YOUR_ANTHROPIC_KEY_HERE
+PERPLEXITY_API_KEY=YOUR_PERPLEXITY_KEY_HERE
+OPENAI_API_KEY=YOUR_OPENAI_KEY_HERE
+GOOGLE_API_KEY=YOUR_GOOGLE_KEY_HERE
+MISTRAL_API_KEY=YOUR_MISTRAL_KEY_HERE
+OPENROUTER_API_KEY=YOUR_OPENROUTER_KEY_HERE
+XAI_API_KEY=YOUR_XAI_KEY_HERE
+AZURE_OPENAI_API_KEY=YOUR_AZURE_KEY_HERE
 
-# Model Configuration
-MODEL=claude-3-7-sonnet-20250219                    # Recommended models: claude-3-7-sonnet-20250219, claude-3-opus-20240229
-PERPLEXITY_MODEL=sonar-pro                          # Perplexity model for research-backed subtasks
-MAX_TOKENS=128000                                   # Maximum tokens for model responses
-TEMPERATURE=0.2                                     # Temperature for model responses (0.0-1.0)
-
-# Logging Configuration
-DEBUG=false                                         # Enable debug logging (true/false)
-LOG_LEVEL=info                                      # Log level (debug, info, warn, error)
-
-# Task Generation Settings
-DEFAULT_SUBTASKS=5                                  # Default number of subtasks when expanding
-DEFAULT_PRIORITY=medium                             # Default priority for generated tasks (high, medium, low)
-
-# Project Metadata (Optional)
-    PROJECT_NAME=Your Project Name                  # Override default project name in tasks.json
+# Google Vertex AI Configuration
+VERTEX_PROJECT_ID=your-gcp-project-id
+VERTEX_LOCATION=us-central1
+# Optional: Path to service account credentials JSON file (alternative to API key)
+GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account-credentials.json

.github/workflows/pre-release.yml

@@ -0,0 +1,62 @@
+name: Pre-Release (RC)
+
+on:
+  workflow_dispatch: # Allows manual triggering from GitHub UI/API
+
+concurrency: pre-release-${{ github.ref }}
+
+jobs:
+  rc:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - uses: actions/setup-node@v4
+        with:
+          node-version: 20
+          cache: 'npm'
+
+      - name: Cache node_modules
+        uses: actions/cache@v4
+        with:
+          path: |
+            node_modules
+            */*/node_modules
+          key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
+          restore-keys: |
+            ${{ runner.os }}-node-
+
+      - name: Install dependencies
+        run: npm ci
+        timeout-minutes: 2
+
+      - name: Enter RC mode
+        run: |
+          npx changeset pre exit || true
+          npx changeset pre enter rc
+
+      - name: Version RC packages
+        run: npx changeset version
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
+
+      - name: Create Release Candidate Pull Request or Publish Release Candidate to npm
+        uses: changesets/action@v1
+        with:
+          publish: npm run release
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
+
+      - name: Exit RC mode
+        run: npx changeset pre exit
+
+      - name: Commit & Push changes
+        uses: actions-js/push@master
+        with:
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          branch: ${{ github.ref }}
+          message: 'chore: rc version bump'

.github/workflows/release.yml

@@ -3,6 +3,9 @@ on:
   push:
     branches:
       - main
+
+concurrency: ${{ github.workflow }}-${{ github.ref }}
+
 jobs:
   release:
     runs-on: ubuntu-latest
@@ -30,6 +33,9 @@ jobs:
         run: npm ci
         timeout-minutes: 2
 
+      - name: Exit pre-release mode (safety check)
+        run: npx changeset pre exit || true
+
       - name: Create Release Pull Request or Publish to npm
         uses: changesets/action@v1
         with:

.github/workflows/update-models-md.yml

@@ -0,0 +1,40 @@
+name: Update models.md from supported-models.json
+
+on:
+  push:
+    branches:
+      - main
+      - next
+    paths:
+      - 'scripts/modules/supported-models.json'
+      - 'docs/scripts/models-json-to-markdown.js'
+
+jobs:
+  update_markdown:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: 20
+
+      - name: Run transformation script
+        run: node docs/scripts/models-json-to-markdown.js
+
+      - name: Format Markdown with Prettier
+        run: npx prettier --write docs/models.md
+
+      - name: Stage docs/models.md
+        run: git add docs/models.md
+
+      - name: Commit & Push docs/models.md
+        uses: actions-js/push@master
+        with:
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          branch: ${{ github.ref_name }}
+          message: 'docs: Auto-update and format models.md'
+          author_name: 'github-actions[bot]'
+          author_email: 'github-actions[bot]@users.noreply.github.com'

.gitignore

@@ -21,9 +21,24 @@ yarn-error.log*
 lerna-debug.log*
 
 # Coverage directory used by tools like istanbul
-coverage
+coverage/
 *.lcov
 
+# Jest cache
+.jest/
+
+# Test temporary files and directories
+tests/temp/
+tests/e2e/_runs/
+tests/e2e/log/
+tests/**/*.log
+tests/**/coverage/
+
+# Test database files (if any)
+tests/**/*.db
+tests/**/*.sqlite
+tests/**/*.sqlite3
+
 # Optional npm cache directory
 .npm
 
@@ -58,4 +73,7 @@ dist
 # Debug files
 *.debug
 init-debug.log
-dev-debug.log
+dev-debug.log
+
+# NPMRC
+.npmrc

.nvmrc

@@ -0,0 +1 @@
+22 

.prettierignore

@@ -1,6 +0,0 @@
-# Ignore artifacts:
-build
-coverage
-.changeset
-tasks
-package-lock.json

.prettierrc

@@ -1,11 +0,0 @@
-{
-	"printWidth": 80,
-	"tabWidth": 2,
-	"useTabs": true,
-	"semi": true,
-	"singleQuote": true,
-	"trailingComma": "none",
-	"bracketSpacing": true,
-	"arrowParens": "always",
-	"endOfLine": "lf"
-}

.taskmaster/config.json

@@ -0,0 +1,34 @@
+{
+	"models": {
+		"main": {
+			"provider": "anthropic",
+			"modelId": "claude-sonnet-4-20250514",
+			"maxTokens": 50000,
+			"temperature": 0.2
+		},
+		"research": {
+			"provider": "perplexity",
+			"modelId": "sonar-pro",
+			"maxTokens": 8700,
+			"temperature": 0.1
+		},
+		"fallback": {
+			"provider": "anthropic",
+			"modelId": "claude-3-7-sonnet-20250219",
+			"maxTokens": 128000,
+			"temperature": 0.2
+		}
+	},
+	"global": {
+		"userId": "1234567890",
+		"logLevel": "info",
+		"debug": false,
+		"defaultSubtasks": 5,
+		"defaultPriority": "medium",
+		"projectName": "Taskmaster",
+		"ollamaBaseURL": "http://localhost:11434/api",
+		"bedrockBaseURL": "https://bedrock.us-east-1.amazonaws.com",
+		"azureBaseURL": "https://your-endpoint.azure.com/",
+		"defaultTag": "master"
+	}
+}

.taskmaster/docs/README.md

@@ -32,7 +32,7 @@ The script can be configured through environment variables in a `.env` file at t
 - `PERPLEXITY_API_KEY`: Your Perplexity API key for research-backed subtask generation
 - `PERPLEXITY_MODEL`: Specify which Perplexity model to use (default: "sonar-medium-online")
 - `DEBUG`: Enable debug logging (default: false)
-- `LOG_LEVEL`: Log level - debug, info, warn, error (default: info)
+- `TASKMASTER_LOG_LEVEL`: Log level - debug, info, warn, error (default: info)
 - `DEFAULT_SUBTASKS`: Default number of subtasks when expanding (default: 3)
 - `DEFAULT_PRIORITY`: Default priority for generated tasks (default: medium)
 - `PROJECT_NAME`: Override default project name in tasks.json
@@ -47,7 +47,7 @@ The script can be configured through environment variables in a `.env` file at t
    - Tasks can have `subtasks` for more detailed implementation steps.
    - Dependencies are displayed with status indicators (✅ for completed, ⏱️ for pending) to easily track progress.
 
-2. **Script Commands**  
+2. **Script Commands**
    You can run the script via:
 
    ```bash
@@ -225,7 +225,7 @@ To use the Perplexity integration:
 
 ## Logging
 
-The script supports different logging levels controlled by the `LOG_LEVEL` environment variable:
+The script supports different logging levels controlled by the `TASKMASTER_LOG_LEVEL` environment variable:
 
 - `debug`: Detailed information, typically useful for troubleshooting
 - `info`: Confirmation that things are working as expected (default)
@@ -382,25 +382,25 @@ The output report structure is:
 
 ```json
 {
-	"meta": {
-		"generatedAt": "2023-06-15T12:34:56.789Z",
-		"tasksAnalyzed": 20,
-		"thresholdScore": 5,
-		"projectName": "Your Project Name",
-		"usedResearch": true
-	},
-	"complexityAnalysis": [
-		{
-			"taskId": 8,
-			"taskTitle": "Develop Implementation Drift Handling",
-			"complexityScore": 9.5,
-			"recommendedSubtasks": 6,
-			"expansionPrompt": "Create subtasks that handle detecting...",
-			"reasoning": "This task requires sophisticated logic...",
-			"expansionCommand": "node scripts/dev.js expand --id=8 --num=6 --prompt=\"Create subtasks...\" --research"
-		}
-		// More tasks sorted by complexity score (highest first)
-	]
+ "meta": {
+  "generatedAt": "2023-06-15T12:34:56.789Z",
+  "tasksAnalyzed": 20,
+  "thresholdScore": 5,
+  "projectName": "Your Project Name",
+  "usedResearch": true
+ },
+ "complexityAnalysis": [
+  {
+   "taskId": 8,
+   "taskTitle": "Develop Implementation Drift Handling",
+   "complexityScore": 9.5,
+   "recommendedSubtasks": 6,
+   "expansionPrompt": "Create subtasks that handle detecting...",
+   "reasoning": "This task requires sophisticated logic...",
+   "expansionCommand": "node scripts/dev.js expand --id=8 --num=6 --prompt=\"Create subtasks...\" --research"
+  }
+  // More tasks sorted by complexity score (highest first)
+ ]
 }
 ```
 

.taskmaster/docs/research/2025-06-14_how-can-i-improve-the-scope-up-and-scope-down-comm.md

@@ -0,0 +1,128 @@
+---
+title: Research Session
+query: "how can i improve the scope-up and scope-down command"
+date: 6/14/2025
+time: 4:35:03 PM
+timestamp: 2025-06-14T20:35:03.231Z
+exchanges: 2
+---
+
+# Research Session
+
+## Initial Query
+
+**Question:** how can i improve the scope-up and scope-down command
+
+**Response:**
+
+## Improving the `scope-up` and `scope-down` Commands
+
+**Clarify Command Purpose and User Experience**
+
+- Ensure the commands have clear, intuitive behavior. For example, `scope-up` should consistently broaden the context or task view, while `scope-down` should reliably narrow it.
+- Provide immediate, user-friendly feedback after each command, indicating what changed (e.g., "Now viewing parent task and all subtasks" or "Focused on subtask: X").
+- Document the commands with examples in your `docs/command-reference.md` and `docs/examples.md` to help users understand their effects and use cases.
+
+**Enhance Context Awareness**
+
+- Make the commands context-sensitive: if the user is already at the top or bottom of the scope hierarchy, return a helpful message instead of failing silently.
+- Allow optional arguments to specify the exact level or target (e.g., `scope-up 2` to move up two levels, or `scope-down <subtask-id>` to jump directly to a subtask).
+
+**Robust Error Handling and Validation**
+
+- Implement checks to prevent invalid operations, such as attempting to scope up from the root or scope down when no subtasks exist.
+- Provide clear error messages and suggestions for next steps, improving user trust and reducing confusion[1][5].
+
+**Integrate with Task and Tag Systems**
+
+- Ensure `scope-up` and `scope-down` interact smoothly with your tagging and task hierarchy features. For example, scoping up from a subtask should show the parent task and its context, while scoping down should allow selection from available subtasks or related tags.
+- Consider supporting batch operations, such as scoping down into all subtasks and displaying them in a summarized view.
+
+**Improve Performance and Synchronization**
+
+- Optimize the underlying logic to minimize delays, especially in large task trees. Use asynchronous operations where possible to keep the UI responsive.
+- If the commands trigger data loading or context switching, ensure synchronization so that subsequent commands operate on the correct, updated context[2][4].
+
+**Testing and Stakeholder Feedback**
+
+- Add or expand unit and integration tests for these commands (see `tests/unit/commands.test.js` and `integration/cli/commands.test.js`) to cover edge cases and ensure reliability.
+- Gather feedback from users and stakeholders to identify pain points and desired enhancements, then iterate on the command design and implementation[1][5].
+
+**Example Improvements Table**
+
+| Area                | Current Issue                | Suggested Improvement                        |
+|---------------------|-----------------------------|----------------------------------------------|
+| User Feedback       | Minimal or unclear output    | Add explicit, contextual messages            |
+| Error Handling      | Silent failures              | Informative errors and recovery suggestions  |
+| Flexibility         | Only single-level movement   | Support multi-level and targeted navigation  |
+| Integration         | Limited context awareness    | Sync with tags, parent/child relationships   |
+| Performance         | Slow on large hierarchies    | Optimize data access and UI updates          |
+
+By focusing on these areas, you can make `scope-up` and `scope-down` more robust, user-friendly, and aligned with best practices in scope management and command design[1][5].
+
+---
+
+## Follow-up 1
+
+**Question:** how might i do this relative to the tag system?
+
+**Response:**
+
+## Integrating Scope-Up and Scope-Down with the Tag System
+
+**Conceptual Mapping**
+
+- In your project, *scope-up* and *scope-down* commands currently operate on the task hierarchy, broadening or narrowing the context by moving between parent and child tasks.
+- The tag system provides a parallel, orthogonal way to group and filter tasks—tags can represent categories, priorities, or any custom grouping, independent of strict parent/child relationships.
+
+**How to Make Scope Commands Tag-Aware**
+
+- **Scoping by Tag**: Allow users to "scope-down" into a tag, viewing only tasks associated with that tag. Conversely, "scope-up" could move from a specific tag context back to the broader task list or to a parent tag grouping if you support tag hierarchies.
+- **Tag-Scoped Views**: When a tag is active as the current scope, all navigation and operations (listing, editing, etc.) are limited to tasks with that tag. This is similar to how some systems let you set the "Tag Scope" to filter navigation and search to only tagged items[1][5].
+- **Combining Hierarchy and Tags**: Enable compound scoping, such as "all subtasks of Task X that also have Tag Y." This can be implemented by intersecting the results of hierarchical and tag-based queries.
+
+**Implementation Strategies**
+
+- **Scope Stack or Context Object**: Maintain a stack or context object that tracks both the current task scope and any active tag filters. Each scope change (up/down or tag in/out) updates this context.
+- **Commands**:
+  - `scope-down --tag <tag>`: Narrows the view to tasks with the specified tag.
+  - `scope-up --tag`: Removes the tag filter, broadening the view.
+  - `scope-down <subtask-id> --tag <tag>`: Narrows to a specific subtask *and* applies a tag filter.
+- **Tag Hierarchies (Optional)**: If your tag system supports parent/child tags or tag groups, allow "scope-up" to move from a specific tag to its parent tag or group, and "scope-down" to move into a child tag[4][5].
+
+**Example User Flows**
+
+- *Scoping Down by Tag*:  
+  User runs `scope-down --tag urgent` → Only tasks tagged "urgent" are shown.
+- *Combining Task and Tag*:  
+  User runs `scope-down <task-id> --tag frontend` → Only subtasks of `<task-id>` that are tagged "frontend" are shown.
+- *Scoping Up from Tag*:  
+  User runs `scope-up --tag` → Removes the tag filter, returning to the previous broader context.
+
+**Technical Considerations**
+
+- **Efficient Filtering**: Use indexed queries or in-memory filtering to efficiently combine tag and hierarchy filters, especially for large task sets.
+- **Feedback and UI**: Always display the current scope context (e.g., "Viewing tasks tagged 'urgent' under 'Feature X'") so users understand what they're seeing.
+- **Extensibility**: Design the scope system so new types of scopes (e.g., by status, assignee) can be added in the future, not just tags and hierarchy.
+
+**Relevant Precedents**
+
+- Tag-based file systems and management tools often implement "scopes" as dynamic groups defined by tag criteria, allowing users to build up complex views by combining tags and other filters[5].
+- Some systems allow scoping into tag management itself, where you can create, edit, or view tags and their associated objects, which could be mirrored in your CLI or UI[4].
+
+**Summary Table**
+
+| Command Example                  | Resulting Scope                                  |
+|----------------------------------|--------------------------------------------------|
+| `scope-down --tag bug`           | All tasks tagged "bug"                           |
+| `scope-down <task-id> --tag api` | Subtasks of `<task-id>` tagged "api"             |
+| `scope-up --tag`                 | Removes tag filter, returns to previous scope    |
+| `scope-down --tag frontend`      | All tasks tagged "frontend"                      |
+
+By integrating tag-based scoping, you make your scope commands more flexible and powerful, supporting both hierarchical and ad-hoc organizational strategies[1][5].
+
+
+---
+
+*Generated by Task Master Research Command*  
+*Timestamp: 2025-06-14T20:35:03.231Z*

.taskmaster/docs/research/2025-06-14_should-i-be-using-any-specific-libraries-for-this.md

@@ -0,0 +1,158 @@
+---
+title: Research Session
+query: "should i be using any specific libraries for this?"
+date: 6/14/2025
+time: 5:20:00 PM
+timestamp: 2025-06-14T21:20:00.561Z
+exchanges: 2
+---
+
+# Research Session
+
+## Initial Query
+
+**Question:** should i be using any specific libraries for this?
+
+**Response:**
+
+HELL YEAH PARTNER
+
+For implementing a GitHub Issue export feature with bidirectional linking in your project, you absolutely should use a dedicated library for interacting with the GitHub API. This will save you a ton of time, reduce boilerplate, and help you avoid common pitfalls with authentication, pagination, and error handling.
+
+## Recommended Library: PyGithub
+
+- **PyGithub** is the most widely used and well-documented Python library for accessing the GitHub REST API v3. It allows you to manage repositories, issues, user profiles, and more, all with a clean, object-oriented interface[1][2][3][5].
+- It supports all the operations you’ll need for your export feature, including creating issues, updating them, and managing references for bidirectional linking.
+
+### Key Features
+
+- **Authentication**: Easily authenticate with a personal access token.
+- **Issue Management**: Create, update, and link issues programmatically.
+- **Repository Access**: Fetch and manipulate repository data.
+- **User/Org Support**: Works for both user and organization repos.
+- **Pagination & Rate Limiting**: Handles these for you.
+
+### Example Usage
+
+```python
+from github import Github, Auth
+
+# Authenticate with a personal access token
+auth = Auth.Token("your_github_token")
+g = Github(auth=auth)
+
+# Get the repo
+repo = g.get_repo("owner/repo_name")
+
+# Create a new issue
+issue = repo.create_issue(
+    title="Exported from Task Master",
+    body="This issue was created by Task Master. [Task ID: 123]"
+)
+
+# Add a comment or update the issue to include a backlink
+issue.create_comment("Linked to Task Master task #123")
+```
+[3][5]
+
+## Why Not Use Raw Requests?
+
+- While you *can* use the `requests` library to call the GitHub API directly[4], PyGithub abstracts away authentication, error handling, and pagination, making your code much cleaner and less error-prone[2][5].
+
+## Integration Tips
+
+- Store your GitHub token securely (e.g., in environment variables).
+- Use PyGithub’s objects to fetch, create, and update issues.
+- For bidirectional linking, store the GitHub issue URL in your task data and the Task Master task ID in the GitHub issue body or as a label/comment.
+- PyGithub is actively maintained and widely used, so you’ll find plenty of support and documentation.
+
+## Installation
+
+```bash
+pip install PyGithub
+```
+[3]
+
+## Summary Table
+
+| Library   | Language | API Coverage | Ease of Use | Maintained | Docs/Support |
+|-----------|----------|--------------|-------------|------------|--------------|
+| PyGithub  | Python   | Full         | High        | Yes        | Excellent    |
+| requests  | Python   | Full (manual)| Medium      | Yes        | Good         |
+
+**Use PyGithub for all GitHub API interactions in your export/import features.** It’s the standard for Python projects and will make your implementation faster, safer, and more maintainable[1][2][3][5].
+
+---
+
+## Follow-up 1
+
+**Question:** we don't want to use py github because we have a node project
+
+**Response:**
+
+HELL YEAH PARTNER
+
+For a Node.js project, you should use a Node-native library to interact with the GitHub API instead of PyGithub, which is Python-only. The industry standard for Node.js is **Octokit**, the official GitHub SDK for JavaScript/TypeScript[1][2].
+
+## Why Use Octokit?
+
+- **Official & Complete**: Octokit is maintained by GitHub and covers all REST and GraphQL API endpoints, including issues, repositories, users, and more[1][2].
+- **Universal**: Works in Node.js, browsers, and Deno environments[2].
+- **Typed & Tested**: Comes with TypeScript declarations and 100% test coverage[2].
+- **Authentication**: Supports personal access tokens, GitHub Apps, OAuth, and more.
+- **Pagination & Error Handling**: Handles pagination and common error scenarios out of the box.
+- **Extendable**: Supports plugins and custom hooks for advanced use cases[2].
+
+## How to Use Octokit for GitHub Issue Export
+
+Install Octokit in your Node.js project:
+
+```bash
+npm install @octokit/rest
+```
+
+Basic usage for creating and linking issues:
+
+```js
+const { Octokit } = require("@octokit/rest");
+
+// Authenticate with a personal access token
+const octokit = new Octokit({ auth: process.env.GITHUB_TOKEN });
+
+// Create a new issue
+const { data: issue } = await octokit.issues.create({
+  owner: "owner",
+  repo: "repo_name",
+  title: "Exported from Task Master",
+  body: "This issue was created by Task Master. [Task ID: 123]"
+});
+
+// Add a comment for bidirectional linking
+await octokit.issues.createComment({
+  owner: "owner",
+  repo: "repo_name",
+  issue_number: issue.number,
+  body: "Linked to Task Master task #123"
+});
+```
+
+## Alternatives
+
+- **node-github**: An older library, less maintained than Octokit, but still functional for basic API access[5].
+- **Raw HTTP Requests**: You can use `node-fetch` or `axios` to call the GitHub API directly, but you’ll need to handle authentication, pagination, and error handling yourself[3]. Octokit abstracts all of this for you.
+
+## Summary Table
+
+| Library         | Language | API Coverage | Maintained | TypeScript | Docs/Support |
+|-----------------|----------|--------------|------------|------------|--------------|
+| Octokit         | Node.js  | Full         | Yes        | Yes        | Excellent    |
+| node-github     | Node.js  | Full         | No         | No         | Limited      |
+| Raw HTTP        | Node.js  | Full (manual)| N/A        | N/A        | N/A          |
+
+**Recommendation:** Use Octokit for all GitHub API interactions in your Node.js project. It’s the official, most robust, and best-supported option for your use case[1][2].
+
+
+---
+
+*Generated by Task Master Research Command*  
+*Timestamp: 2025-06-14T21:20:00.561Z*

.taskmaster/docs/research/2025-06-14_test-save-functionality.md

@@ -0,0 +1,76 @@
+---
+title: Research Session
+query: "test save functionality"
+date: 6/14/2025
+time: 5:50:23 PM
+timestamp: 2025-06-14T21:50:23.797Z
+exchanges: 1
+---
+
+# Research Session
+
+## Initial Query
+
+**Question:** test save functionality
+
+**Response:**
+
+## Testing Save Functionality in a Task Management System
+
+**Core Steps for Testing Save Functionality**
+
+- Create or update a task in the system using the CLI or UI.
+- Trigger the save operation (e.g., by issuing a command or clicking a save button).
+- Verify that the data is correctly written to the persistent storage (e.g., `tasks.json`).
+- Reload or re-query the data to ensure the saved changes persist and are accurately reflected.
+- Validate that all required fields and relationships (such as dependencies and subtasks) are preserved and correctly structured.
+
+**Key Test Scenarios**
+
+- **Basic Save:** Add a new task and confirm it appears in `tasks.json` with all fields populated.
+- **Update Save:** Modify an existing task (e.g., change status, description, or priority) and verify the changes are saved.
+- **Subtask and Dependency Preservation:** Update a parent task and ensure that completed subtasks and dependency links remain intact, especially after using commands like `updateTask`.
+- **Batch Operations:** Perform bulk updates or additions and confirm all affected tasks are saved correctly, with no data loss or corruption.
+- **Validation:** Attempt to save invalid data and ensure the system rejects it or provides meaningful error messages, confirming validation logic is enforced.
+
+**Recommended Practices**
+
+- Use automated tests to simulate save operations for various scenarios, including edge cases (e.g., circular dependencies, missing required fields).
+- After each save, reload the data and compare it to the expected state to ensure integrity.
+- Log all save operations and errors for traceability and debugging.
+- Regularly back up the `tasks.json` file to prevent data loss during testing and development.
+
+**Relevant Features from Industry Standards**
+
+- Task management systems typically provide robust save and update mechanisms, ensuring that all task attributes (including dependencies, subtasks, and comments) are consistently maintained[1][2][5].
+- Validation and error handling are critical to prevent corrupt or incomplete saves, especially when handling complex relationships or batch operations[1][5].
+- User feedback (such as success messages or error alerts) is important for confirming save actions and guiding users in case of issues[1][2].
+
+**Example Test Case**
+
+1. Create a task with subtasks and dependencies.
+2. Mark some subtasks as complete.
+3. Use the `updateTask` command to modify the parent task.
+4. Save and reload the data.
+5. Assert that:
+   - The parent task reflects the updates.
+   - Completed subtasks remain marked as complete.
+   - Dependencies are unchanged and valid.
+
+**Summary Table: Save Functionality Test Aspects**
+
+| Aspect                | What to Test                                      | Expected Outcome                        |
+|-----------------------|---------------------------------------------------|-----------------------------------------|
+| Basic Save            | Add/update task, save, reload                     | Data persists and matches expectations  |
+| Subtask Preservation  | Update parent, check subtask status               | Completed subtasks remain complete      |
+| Dependency Handling   | Save with dependencies, reload                    | Dependencies are intact and valid       |
+| Batch Operations      | Bulk save/update, reload                          | All changes persist, no data loss       |
+| Validation            | Save invalid data                                 | Error is raised, data not corrupted     |
+
+These steps and scenarios ensure that the save functionality is robust, reliable, and meets the requirements of a modern task management system[1][2][5].
+
+
+---
+
+*Generated by Task Master Research Command*  
+*Timestamp: 2025-06-14T21:50:23.797Z*

.taskmaster/docs/research/2025-06-14_test-the-fix-for-duplicate-saves-final-test.md

@@ -0,0 +1,81 @@
+---
+title: Research Session
+query: "test the fix for duplicate saves - final test"
+date: 6/14/2025
+time: 6:10:00 PM
+timestamp: 2025-06-14T22:10:00.394Z
+exchanges: 1
+---
+
+# Research Session
+
+## Initial Query
+
+**Question:** test the fix for duplicate saves - final test
+
+**Response:**
+
+## Steps to Test the Fix for Duplicate Saves
+
+**1. Prepare a Clean Test Environment**
+- Ensure the tasks.json file and any related data stores are in a known, clean state with no pre-existing duplicate entries.
+- Back up the current tasks.json in case rollback is needed.
+
+**2. Define Test Scenarios**
+- Attempt to save a new task with unique data.
+- Attempt to save a task with the same ID or unique identifier as an existing task (simulate a duplicate).
+- Attempt to save a task with the same title or content but a different ID (to test if the fix is based on ID or content).
+- Simultaneously trigger multiple save operations (if the system supports concurrency) to test race conditions.
+
+**3. Execute Manual and Automated Tests**
+- Use the application's UI or API to create and save tasks as per the scenarios above.
+- For each save operation, check the tasks.json file or the data store to verify:
+  - No duplicate entries are created.
+  - Existing tasks are not overwritten unless intended (e.g., for updates).
+  - The system returns appropriate error messages or warnings when a duplicate save is attempted.
+
+**4. Validate System Behavior**
+- Confirm that after all test operations, each task in tasks.json is unique according to the defined criteria (ID, title, or other unique fields).
+- If the system is designed to merge duplicates, verify that merging occurs as expected.
+- If the system is designed to reject duplicates, ensure that the rejection is clear and no duplicate is present.
+
+**5. Test Edge Cases**
+- Attempt to save tasks with minor variations (e.g., whitespace differences, case sensitivity) to ensure the duplicate detection logic is robust.
+- Test with large numbers of tasks to ensure performance and correctness at scale.
+
+**6. Review Logs and Error Handling**
+- Check application logs for any errors or warnings related to duplicate saves.
+- Ensure that error handling is user-friendly and provides actionable feedback.
+
+**7. Regression Testing**
+- Run the full suite of task operations (create, update, delete) to ensure the fix for duplicate saves does not introduce new issues elsewhere in the system.
+
+## Additional Best Practices
+
+- Communicate test results with the team to confirm the fix is effective and to prevent future regressions[1][2][5].
+- Consider implementing automated duplicate detection as part of the save operation to prevent future issues[2][3].
+- Document the test cases and results for future reference and audits.
+
+## Example Test Case Table
+
+| Test Scenario                        | Expected Result                | Actual Result | Pass/Fail |
+|--------------------------------------|-------------------------------|---------------|-----------|
+| Save unique task                     | Task saved                    |               |           |
+| Save duplicate task (same ID)        | Duplicate rejected/merged     |               |           |
+| Save duplicate task (same title)     | Duplicate rejected/merged     |               |           |
+| Simultaneous saves (race condition)  | Only one unique task present  |               |           |
+| Save with minor variations           | No false positives/negatives  |               |           |
+
+Fill in the "Actual Result" and "Pass/Fail" columns during testing.
+
+## Action Items
+
+- Complete all test scenarios above.
+- Document any issues found and retest after fixes.
+- Confirm with stakeholders before closing the issue.
+
+
+---
+
+*Generated by Task Master Research Command*  
+*Timestamp: 2025-06-14T22:10:00.394Z*

.taskmaster/docs/task-template-importing-prd.txt

@@ -0,0 +1,471 @@
+# Task Template Importing System - Product Requirements Document
+
+<context>
+# Overview  
+The Task Template Importing system enables seamless integration of external task templates into the Task Master CLI through automatic file discovery. This system allows users to drop task template files into the tasks directory and immediately access them as new tag contexts without manual import commands or configuration. The solution addresses the need for multi-project task management, team collaboration through shared templates, and clean separation between permanent tasks and temporary project contexts.
+
+# Core Features  
+## Silent Task Template Discovery
+- **What it does**: Automatically scans for `tasks_*.json` files in the tasks directory during tag operations
+- **Why it's important**: Eliminates friction in adding new task contexts and enables zero-configuration workflow
+- **How it works**: File pattern matching extracts tag names from filenames and validates against internal tag keys
+
+## External Tag Resolution System
+- **What it does**: Provides fallback mechanism to external files when tags are not found in main tasks.json
+- **Why it's important**: Maintains clean separation between core tasks and project-specific templates
+- **How it works**: Tag resolution logic checks external files as secondary source while preserving main file precedence
+
+## Read-Only External Tag Access
+- **What it does**: Allows viewing and switching to external tags while preventing modifications
+- **Why it's important**: Protects template integrity and prevents accidental changes to shared templates
+- **How it works**: All task modifications route to main tasks.json regardless of current tag context
+
+## Tag Precedence Management
+- **What it does**: Ensures main tasks.json tags override external files with same tag names
+- **Why it's important**: Prevents conflicts and maintains data integrity
+- **How it works**: Priority system where main file tags take precedence over external file tags
+
+# User Experience  
+## User Personas
+- **Solo Developer**: Manages multiple projects with different task contexts
+- **Team Lead**: Shares standardized task templates across team members
+- **Project Manager**: Organizes tasks by project phases or feature branches
+
+## Key User Flows
+### Template Addition Flow
+1. User receives or creates a `tasks_projectname.json` file
+2. User drops file into `.taskmaster/tasks/` directory
+3. Tag becomes immediately available via `task-master use-tag projectname`
+4. User can list, view, and switch to external tag without configuration
+
+### Template Usage Flow
+1. User runs `task-master tags` to see available tags including external ones
+2. External tags display with `(imported)` indicator
+3. User switches to external tag with `task-master use-tag projectname`
+4. User can view tasks but modifications are routed to main tasks.json
+
+## UI/UX Considerations
+- External tags clearly marked with `(imported)` suffix in listings
+- Visual indicators distinguish between main and external tags
+- Error messages guide users when external files are malformed
+- Read-only warnings when attempting to modify external tag contexts
+</context>
+
+<PRD>
+# Technical Architecture  
+## System Components
+1. **External File Discovery Engine**
+   - File pattern scanner for `tasks_*.json` files
+   - Tag name extraction from filenames using regex
+   - Dynamic tag registry combining main and external sources
+   - Error handling for malformed external files
+
+2. **Enhanced Tag Resolution System**
+   - Fallback mechanism to external files when tags not found in main tasks.json
+   - Precedence management ensuring main file tags override external files
+   - Read-only access enforcement for external tags
+   - Tag metadata preservation during discovery operations
+
+3. **Silent Discovery Integration**
+   - Automatic scanning during tag-related operations
+   - Seamless integration with existing tag management functions
+   - Zero-configuration workflow requiring no manual import commands
+   - Dynamic tag availability without restart requirements
+
+## Data Models
+
+### External Task File Structure
+```json
+{
+  "meta": {
+    "projectName": "External Project Name",
+    "version": "1.0.0",
+    "templateSource": "external",
+    "createdAt": "ISO-8601 timestamp"
+  },
+  "tags": {
+    "projectname": {
+      "meta": {
+        "name": "Project Name",
+        "description": "Project description",
+        "createdAt": "ISO-8601 timestamp"
+      },
+      "tasks": [
+        // Array of task objects
+      ]
+    },
+    "master": {
+      // This section is ignored to prevent conflicts
+    }
+  }
+}
+```
+
+### Enhanced Tag Registry Model
+```json
+{
+  "mainTags": [
+    {
+      "name": "master",
+      "source": "main",
+      "taskCount": 150,
+      "isActive": true
+    }
+  ],
+  "externalTags": [
+    {
+      "name": "projectname",
+      "source": "external",
+      "filename": "tasks_projectname.json",
+      "taskCount": 25,
+      "isReadOnly": true
+    }
+  ]
+}
+```
+
+## APIs and Integrations
+1. **File System Discovery API**
+   - Directory scanning with pattern matching
+   - JSON file validation and parsing
+   - Error handling for corrupted or malformed files
+   - File modification time tracking for cache invalidation
+
+2. **Enhanced Tag Management API**
+   - `scanForExternalTaskFiles(projectRoot)` - Discover external template files
+   - `getExternalTagsFromFiles(projectRoot)` - Extract tag names from external files
+   - `readExternalTagData(projectRoot, tagName)` - Read specific external tag data
+   - `getAvailableTags(projectRoot)` - Combined main and external tag listing
+
+3. **Tag Resolution Enhancement**
+   - Modified `readJSON()` with external file fallback
+   - Enhanced `tags()` function with external tag display
+   - Updated `useTag()` function supporting external tag switching
+   - Read-only enforcement for external tag operations
+
+## Infrastructure Requirements
+1. **File System Access**
+   - Read permissions for tasks directory
+   - JSON parsing capabilities
+   - Pattern matching and regex support
+   - Error handling for file system operations
+
+2. **Backward Compatibility**
+   - Existing tag operations continue unchanged
+   - Main tasks.json structure preserved
+   - No breaking changes to current workflows
+   - Graceful degradation when external files unavailable
+
+# Development Roadmap  
+## Phase 1: Core External File Discovery (Foundation)
+1. **External File Scanner Implementation**
+   - Create `scanForExternalTaskFiles()` function in utils.js
+   - Implement file pattern matching for `tasks_*.json` files
+   - Add error handling for file system access issues
+   - Test with various filename patterns and edge cases
+
+2. **Tag Name Extraction System**
+   - Implement `getExternalTagsFromFiles()` function
+   - Create regex pattern for extracting tag names from filenames
+   - Add validation to ensure tag names match internal tag key format
+   - Handle special characters and invalid filename patterns
+
+3. **External Tag Data Reader**
+   - Create `readExternalTagData()` function
+   - Implement JSON parsing with error handling
+   - Add validation for required tag structure
+   - Ignore 'master' key in external files to prevent conflicts
+
+## Phase 2: Tag Resolution Enhancement (Core Integration)
+1. **Enhanced Tag Registry**
+   - Implement `getAvailableTags()` function combining main and external sources
+   - Create tag metadata structure including source information
+   - Add deduplication logic prioritizing main tags over external
+   - Implement caching mechanism for performance optimization
+
+2. **Modified readJSON Function**
+   - Add external file fallback when tag not found in main tasks.json
+   - Maintain precedence rule: main tasks.json overrides external files
+   - Preserve existing error handling and validation patterns
+   - Ensure read-only access for external tags
+
+3. **Tag Listing Enhancement**
+   - Update `tags()` function to display external tags with `(imported)` indicator
+   - Show external tag metadata and task counts
+   - Maintain current tag highlighting and sorting functionality
+   - Add visual distinction between main and external tags
+
+## Phase 3: User Interface Integration (User Experience)
+1. **Tag Switching Enhancement**
+   - Update `useTag()` function to support external tag switching
+   - Add read-only warnings when switching to external tags
+   - Update state.json with external tag context information
+   - Maintain current tag switching behavior for main tags
+
+2. **Error Handling and User Feedback**
+   - Implement comprehensive error messages for malformed external files
+   - Add user guidance for proper external file structure
+   - Create warnings for read-only operations on external tags
+   - Ensure graceful degradation when external files are corrupted
+
+3. **Documentation and Help Integration**
+   - Update command help text to include external tag information
+   - Add examples of external file structure and usage
+   - Create troubleshooting guide for common external file issues
+   - Document file naming conventions and best practices
+
+## Phase 4: Advanced Features and Optimization (Enhancement)
+1. **Performance Optimization**
+   - Implement file modification time caching
+   - Add lazy loading for external tag data
+   - Optimize file scanning for directories with many files
+   - Create efficient tag resolution caching mechanism
+
+2. **Advanced External File Features**
+   - Support for nested external file directories
+   - Batch external file validation and reporting
+   - External file metadata display and management
+   - Integration with version control ignore patterns
+
+3. **Team Collaboration Features**
+   - Shared external file validation
+   - External file conflict detection and resolution
+   - Team template sharing guidelines and documentation
+   - Integration with git workflows for template management
+
+# Logical Dependency Chain
+## Foundation Layer (Must Be Built First)
+1. **External File Scanner** 
+   - Core requirement for all other functionality
+   - Provides the discovery mechanism for external template files
+   - Must handle file system access and pattern matching reliably
+
+2. **Tag Name Extraction**
+   - Depends on file scanner functionality
+   - Required for identifying available external tags
+   - Must validate tag names against internal format requirements
+
+3. **External Tag Data Reader**
+   - Depends on tag name extraction
+   - Provides access to external tag content
+   - Must handle JSON parsing and validation safely
+
+## Integration Layer (Builds on Foundation)
+4. **Enhanced Tag Registry**
+   - Depends on all foundation components
+   - Combines main and external tag sources
+   - Required for unified tag management across the system
+
+5. **Modified readJSON Function**
+   - Depends on enhanced tag registry
+   - Provides fallback mechanism for tag resolution
+   - Critical for maintaining backward compatibility
+
+6. **Tag Listing Enhancement**
+   - Depends on enhanced tag registry
+   - Provides user visibility into external tags
+   - Required for user discovery of available templates
+
+## User Experience Layer (Completes the Feature)
+7. **Tag Switching Enhancement**
+   - Depends on modified readJSON and tag listing
+   - Enables user interaction with external tags
+   - Must enforce read-only access properly
+
+8. **Error Handling and User Feedback**
+   - Can be developed in parallel with other UX components
+   - Enhances reliability and user experience
+   - Should be integrated throughout development process
+
+9. **Documentation and Help Integration**
+   - Should be developed alongside implementation
+   - Required for user adoption and proper usage
+   - Can be completed in parallel with advanced features
+
+## Optimization Layer (Performance and Advanced Features)
+10. **Performance Optimization**
+    - Can be developed after core functionality is stable
+    - Improves user experience with large numbers of external files
+    - Not blocking for initial release
+
+11. **Advanced External File Features**
+    - Can be developed independently after core features
+    - Enhances power user workflows
+    - Optional for initial release
+
+12. **Team Collaboration Features**
+    - Depends on stable core functionality
+    - Enhances team workflows and template sharing
+    - Can be prioritized based on user feedback
+
+# Risks and Mitigations  
+## Technical Challenges
+
+### File System Performance
+**Risk**: Scanning for external files on every tag operation could impact performance with large directories.
+**Mitigation**: 
+- Implement file modification time caching to avoid unnecessary rescans
+- Use lazy loading for external tag data - only read when accessed
+- Add configurable limits on number of external files to scan
+- Optimize file pattern matching with efficient regex patterns
+
+### External File Corruption
+**Risk**: Malformed or corrupted external JSON files could break tag operations.
+**Mitigation**:
+- Implement robust JSON parsing with comprehensive error handling
+- Add file validation before attempting to parse external files
+- Gracefully skip corrupted files and continue with valid ones
+- Provide clear error messages guiding users to fix malformed files
+
+### Tag Name Conflicts
+**Risk**: External files might contain tag names that conflict with main tasks.json tags.
+**Mitigation**:
+- Implement strict precedence rule: main tasks.json always overrides external files
+- Add warnings when external tags are ignored due to conflicts
+- Document naming conventions to avoid common conflicts
+- Provide validation tools to check for potential conflicts
+
+## MVP Definition
+
+### Core Feature Scope
+**Risk**: Including too many advanced features could delay the core functionality.
+**Mitigation**:
+- Define MVP as basic external file discovery + tag switching
+- Focus on the silent discovery mechanism as the primary value proposition
+- Defer advanced features like nested directories and batch operations
+- Ensure each phase delivers complete, usable functionality
+
+### User Experience Complexity
+**Risk**: The read-only nature of external tags might confuse users.
+**Mitigation**:
+- Provide clear visual indicators for external tags in all interfaces
+- Add explicit warnings when users attempt to modify external tag contexts
+- Document the read-only behavior and its rationale clearly
+- Consider future enhancement for external tag modification workflows
+
+### Backward Compatibility
+**Risk**: Changes to tag resolution logic might break existing workflows.
+**Mitigation**:
+- Maintain existing tag operations unchanged for main tasks.json
+- Add external file support as enhancement, not replacement
+- Test thoroughly with existing task structures and workflows
+- Provide migration path if any breaking changes are necessary
+
+## Resource Constraints
+
+### Development Complexity
+**Risk**: Integration with existing tag management system could be complex.
+**Mitigation**:
+- Phase implementation to minimize risk of breaking existing functionality
+- Create comprehensive test suite covering both main and external tag scenarios
+- Use feature flags to enable/disable external file support during development
+- Implement thorough error handling to prevent system failures
+
+### File System Dependencies
+**Risk**: Different operating systems might handle file operations differently.
+**Mitigation**:
+- Use Node.js built-in file system APIs for cross-platform compatibility
+- Test on multiple operating systems (Windows, macOS, Linux)
+- Handle file path separators and naming conventions properly
+- Add fallback mechanisms for file system access issues
+
+### User Adoption
+**Risk**: Users might not understand or adopt the external file template system.
+**Mitigation**:
+- Create clear documentation with practical examples
+- Provide sample external template files for common use cases
+- Integrate help and guidance directly into the CLI interface
+- Gather user feedback early and iterate on the user experience
+
+# Appendix  
+## External File Naming Convention
+
+### Filename Pattern
+- **Format**: `tasks_[tagname].json`
+- **Examples**: `tasks_feature-auth.json`, `tasks_v2-migration.json`, `tasks_project-alpha.json`
+- **Validation**: Tag name must match internal tag key format (alphanumeric, hyphens, underscores)
+
+### File Structure Requirements
+```json
+{
+  "meta": {
+    "projectName": "Required: Human-readable project name",
+    "version": "Optional: Template version",
+    "templateSource": "Optional: Source identifier",
+    "createdAt": "Optional: ISO-8601 timestamp"
+  },
+  "tags": {
+    "[tagname]": {
+      "meta": {
+        "name": "Required: Tag display name",
+        "description": "Optional: Tag description",
+        "createdAt": "Optional: ISO-8601 timestamp"
+      },
+      "tasks": [
+        // Required: Array of task objects following standard task structure
+      ]
+    }
+  }
+}
+```
+
+## Implementation Functions Specification
+
+### Core Discovery Functions
+```javascript
+// Scan tasks directory for external template files
+function scanForExternalTaskFiles(projectRoot) {
+  // Returns: Array of external file paths
+}
+
+// Extract tag names from external filenames
+function getExternalTagsFromFiles(projectRoot) {
+  // Returns: Array of external tag names
+}
+
+// Read specific external tag data
+function readExternalTagData(projectRoot, tagName) {
+  // Returns: Tag data object or null if not found
+}
+
+// Get combined main and external tags
+function getAvailableTags(projectRoot) {
+  // Returns: Combined tag registry with metadata
+}
+```
+
+### Integration Points
+```javascript
+// Enhanced readJSON with external fallback
+function readJSON(projectRoot, tag = null) {
+  // Modified to check external files when tag not found in main
+}
+
+// Enhanced tags listing with external indicators
+function tags(projectRoot, options = {}) {
+  // Modified to display external tags with (imported) suffix
+}
+
+// Enhanced tag switching with external support
+function useTag(projectRoot, tagName) {
+  // Modified to support switching to external tags (read-only)
+}
+```
+
+## Error Handling Specifications
+
+### File System Errors
+- **ENOENT**: External file not found - gracefully skip and continue
+- **EACCES**: Permission denied - warn user and continue with available files
+- **EISDIR**: Directory instead of file - skip and continue scanning
+
+### JSON Parsing Errors
+- **SyntaxError**: Malformed JSON - skip file and log warning with filename
+- **Missing required fields**: Skip file and provide specific error message
+- **Invalid tag structure**: Skip file and guide user to correct format
+
+### Tag Conflict Resolution
+- **Duplicate tag names**: Main tasks.json takes precedence, log warning
+- **Invalid tag names**: Skip external file and provide naming guidance
+- **Master key in external**: Ignore master key, process other tags normally
+</PRD> 

.taskmaster/reports/task-complexity-report.json

@@ -0,0 +1,373 @@
+{
+	"meta": {
+		"generatedAt": "2025-05-27T16:34:53.088Z",
+		"tasksAnalyzed": 1,
+		"totalTasks": 84,
+		"analysisCount": 45,
+		"thresholdScore": 5,
+		"projectName": "Taskmaster",
+		"usedResearch": true
+	},
+	"complexityAnalysis": [
+		{
+			"taskId": 24,
+			"taskTitle": "Implement AI-Powered Test Generation Command",
+			"complexityScore": 7,
+			"recommendedSubtasks": 5,
+			"expansionPrompt": "Break down the implementation of the AI-powered test generation command into detailed subtasks covering: command structure setup, AI prompt engineering, test file generation logic, integration with Claude API, and comprehensive error handling.",
+			"reasoning": "This task involves complex integration with an AI service (Claude), requires sophisticated prompt engineering, and needs to generate structured code files. The existing 3 subtasks are a good start but could be expanded to include more detailed steps for AI integration, error handling, and test file formatting."
+		},
+		{
+			"taskId": 26,
+			"taskTitle": "Implement Context Foundation for AI Operations",
+			"complexityScore": 6,
+			"recommendedSubtasks": 4,
+			"expansionPrompt": "The current 4 subtasks for implementing the context foundation appear comprehensive. Consider if any additional subtasks are needed for testing, documentation, or integration with existing systems.",
+			"reasoning": "This task involves creating a foundation for context integration with several well-defined components. The existing 4 subtasks cover the main implementation areas (context-file flag, cursor rules integration, context extraction utility, and command handler updates). The complexity is moderate as it requires careful integration with existing systems but has clear requirements."
+		},
+		{
+			"taskId": 27,
+			"taskTitle": "Implement Context Enhancements for AI Operations",
+			"complexityScore": 7,
+			"recommendedSubtasks": 4,
+			"expansionPrompt": "The current 4 subtasks for implementing context enhancements appear well-structured. Consider if any additional subtasks are needed for testing, documentation, or performance optimization.",
+			"reasoning": "This task builds upon the foundation from Task #26 and adds more sophisticated context handling features. The 4 existing subtasks cover the main implementation areas (code context extraction, task history context, PRD context integration, and context formatting). The complexity is higher than the foundation task due to the need for intelligent context selection and optimization."
+		},
+		{
+			"taskId": 28,
+			"taskTitle": "Implement Advanced ContextManager System",
+			"complexityScore": 8,
+			"recommendedSubtasks": 5,
+			"expansionPrompt": "The current 5 subtasks for implementing the advanced ContextManager system appear comprehensive. Consider if any additional subtasks are needed for testing, documentation, or backward compatibility with previous context implementations.",
+			"reasoning": "This task represents the most complex phase of the context implementation, requiring a sophisticated class design, optimization algorithms, and integration with multiple systems. The 5 existing subtasks cover the core implementation areas, but the complexity is high due to the need for intelligent context prioritization, token management, and performance monitoring."
+		},
+		{
+			"taskId": 40,
+			"taskTitle": "Implement 'plan' Command for Task Implementation Planning",
+			"complexityScore": 5,
+			"recommendedSubtasks": 4,
+			"expansionPrompt": "The current 4 subtasks for implementing the 'plan' command appear well-structured. Consider if any additional subtasks are needed for testing, documentation, or integration with existing task management workflows.",
+			"reasoning": "This task involves creating a new command that leverages AI to generate implementation plans. The existing 4 subtasks cover the main implementation areas (retrieving task content, generating plans with AI, formatting in XML, and error handling). The complexity is moderate as it builds on existing patterns for task updates but requires careful AI integration."
+		},
+		{
+			"taskId": 41,
+			"taskTitle": "Implement Visual Task Dependency Graph in Terminal",
+			"complexityScore": 8,
+			"recommendedSubtasks": 10,
+			"expansionPrompt": "The current 10 subtasks for implementing the visual task dependency graph appear comprehensive. Consider if any additional subtasks are needed for performance optimization with large graphs or additional visualization options.",
+			"reasoning": "This task involves creating a sophisticated visualization system for terminal display, which is inherently complex due to layout algorithms, ASCII/Unicode rendering, and handling complex dependency relationships. The 10 existing subtasks cover all major aspects of implementation, from CLI interface to accessibility features."
+		},
+		{
+			"taskId": 42,
+			"taskTitle": "Implement MCP-to-MCP Communication Protocol",
+			"complexityScore": 9,
+			"recommendedSubtasks": 8,
+			"expansionPrompt": "The current 8 subtasks for implementing the MCP-to-MCP communication protocol appear well-structured. Consider if any additional subtasks are needed for security hardening, performance optimization, or comprehensive documentation.",
+			"reasoning": "This task involves designing and implementing a complex communication protocol between different MCP tools and servers. It requires sophisticated adapter patterns, client-server architecture, and handling of multiple operational modes. The complexity is very high due to the need for standardization, security, and backward compatibility."
+		},
+		{
+			"taskId": 44,
+			"taskTitle": "Implement Task Automation with Webhooks and Event Triggers",
+			"complexityScore": 8,
+			"recommendedSubtasks": 7,
+			"expansionPrompt": "The current 7 subtasks for implementing task automation with webhooks appear comprehensive. Consider if any additional subtasks are needed for security testing, rate limiting implementation, or webhook monitoring tools.",
+			"reasoning": "This task involves creating a sophisticated event system with webhooks for integration with external services. The complexity is high due to the need for secure authentication, reliable delivery mechanisms, and handling of various webhook formats and protocols. The existing subtasks cover the main implementation areas but security and monitoring could be emphasized more."
+		},
+		{
+			"taskId": 45,
+			"taskTitle": "Implement GitHub Issue Import Feature",
+			"complexityScore": 6,
+			"recommendedSubtasks": 5,
+			"expansionPrompt": "The current 5 subtasks for implementing the GitHub issue import feature appear well-structured. Consider if any additional subtasks are needed for handling GitHub API rate limiting, caching, or supporting additional issue metadata.",
+			"reasoning": "This task involves integrating with the GitHub API to import issues as tasks. The complexity is moderate as it requires API authentication, data mapping, and error handling. The existing 5 subtasks cover the main implementation areas from design to end-to-end implementation."
+		},
+		{
+			"taskId": 46,
+			"taskTitle": "Implement ICE Analysis Command for Task Prioritization",
+			"complexityScore": 7,
+			"recommendedSubtasks": 5,
+			"expansionPrompt": "The current 5 subtasks for implementing the ICE analysis command appear comprehensive. Consider if any additional subtasks are needed for visualization of ICE scores or integration with other prioritization methods.",
+			"reasoning": "This task involves creating an AI-powered analysis system for task prioritization using the ICE methodology. The complexity is high due to the need for sophisticated scoring algorithms, AI integration, and report generation. The existing subtasks cover the main implementation areas from algorithm design to integration with existing systems."
+		},
+		{
+			"taskId": 47,
+			"taskTitle": "Enhance Task Suggestion Actions Card Workflow",
+			"complexityScore": 6,
+			"recommendedSubtasks": 6,
+			"expansionPrompt": "The current 6 subtasks for enhancing the task suggestion actions card workflow appear well-structured. Consider if any additional subtasks are needed for user testing, accessibility improvements, or performance optimization.",
+			"reasoning": "This task involves redesigning the UI workflow for task expansion and management. The complexity is moderate as it requires careful UX design and state management but builds on existing components. The 6 existing subtasks cover the main implementation areas from design to testing."
+		},
+		{
+			"taskId": 48,
+			"taskTitle": "Refactor Prompts into Centralized Structure",
+			"complexityScore": 4,
+			"recommendedSubtasks": 3,
+			"expansionPrompt": "The current 3 subtasks for refactoring prompts into a centralized structure appear appropriate. Consider if any additional subtasks are needed for prompt versioning, documentation, or testing.",
+			"reasoning": "This task involves a straightforward refactoring to improve code organization. The complexity is relatively low as it primarily involves moving code rather than creating new functionality. The 3 existing subtasks cover the main implementation areas from directory structure to integration."
+		},
+		{
+			"taskId": 49,
+			"taskTitle": "Implement Code Quality Analysis Command",
+			"complexityScore": 8,
+			"recommendedSubtasks": 6,
+			"expansionPrompt": "The current 6 subtasks for implementing the code quality analysis command appear comprehensive. Consider if any additional subtasks are needed for performance optimization with large codebases or integration with existing code quality tools.",
+			"reasoning": "This task involves creating a sophisticated code analysis system with pattern recognition, best practice verification, and AI-powered recommendations. The complexity is high due to the need for code parsing, complex analysis algorithms, and integration with AI services. The existing subtasks cover the main implementation areas from algorithm design to user interface."
+		},
+		{
+			"taskId": 50,
+			"taskTitle": "Implement Test Coverage Tracking System by Task",
+			"complexityScore": 9,
+			"recommendedSubtasks": 5,
+			"expansionPrompt": "The current 5 subtasks for implementing the test coverage tracking system appear well-structured. Consider if any additional subtasks are needed for integration with CI/CD systems, performance optimization, or visualization tools.",
+			"reasoning": "This task involves creating a complex system that maps test coverage to specific tasks and subtasks. The complexity is very high due to the need for sophisticated data structures, integration with coverage tools, and AI-powered test generation. The existing subtasks are comprehensive and cover the main implementation areas from data structure design to AI integration."
+		},
+		{
+			"taskId": 51,
+			"taskTitle": "Implement Perplexity Research Command",
+			"complexityScore": 6,
+			"recommendedSubtasks": 5,
+			"expansionPrompt": "The current 5 subtasks for implementing the Perplexity research command appear comprehensive. Consider if any additional subtasks are needed for caching optimization, result formatting, or integration with other research tools.",
+			"reasoning": "This task involves creating a new command that integrates with the Perplexity AI API for research. The complexity is moderate as it requires API integration, context extraction, and result formatting. The 5 existing subtasks cover the main implementation areas from API client to caching system."
+		},
+		{
+			"taskId": 52,
+			"taskTitle": "Implement Task Suggestion Command for CLI",
+			"complexityScore": 6,
+			"recommendedSubtasks": 5,
+			"expansionPrompt": "The current 5 subtasks for implementing the task suggestion command appear well-structured. Consider if any additional subtasks are needed for suggestion quality evaluation, user feedback collection, or integration with existing task workflows.",
+			"reasoning": "This task involves creating a new CLI command that generates contextually relevant task suggestions using AI. The complexity is moderate as it requires AI integration, context collection, and interactive CLI interfaces. The existing subtasks cover the main implementation areas from data collection to user interface."
+		},
+		{
+			"taskId": 53,
+			"taskTitle": "Implement Subtask Suggestion Feature for Parent Tasks",
+			"complexityScore": 6,
+			"recommendedSubtasks": 6,
+			"expansionPrompt": "The current 6 subtasks for implementing the subtask suggestion feature appear comprehensive. Consider if any additional subtasks are needed for suggestion quality metrics, user feedback collection, or performance optimization.",
+			"reasoning": "This task involves creating a feature that suggests contextually relevant subtasks for parent tasks. The complexity is moderate as it builds on existing task management systems but requires sophisticated AI integration and context analysis. The 6 existing subtasks cover the main implementation areas from validation to testing."
+		},
+		{
+			"taskId": 55,
+			"taskTitle": "Implement Positional Arguments Support for CLI Commands",
+			"complexityScore": 5,
+			"recommendedSubtasks": 5,
+			"expansionPrompt": "The current 5 subtasks for implementing positional arguments support appear well-structured. Consider if any additional subtasks are needed for backward compatibility testing, documentation updates, or user experience improvements.",
+			"reasoning": "This task involves modifying the command parsing logic to support positional arguments alongside the existing flag-based syntax. The complexity is moderate as it requires careful handling of different argument styles and edge cases. The 5 existing subtasks cover the main implementation areas from analysis to documentation."
+		},
+		{
+			"taskId": 57,
+			"taskTitle": "Enhance Task-Master CLI User Experience and Interface",
+			"complexityScore": 7,
+			"recommendedSubtasks": 6,
+			"expansionPrompt": "The current 6 subtasks for enhancing the CLI user experience appear comprehensive. Consider if any additional subtasks are needed for accessibility testing, internationalization, or performance optimization.",
+			"reasoning": "This task involves a significant overhaul of the CLI interface to improve user experience. The complexity is high due to the breadth of changes (logging, visual elements, interactive components, etc.) and the need for consistent design across all commands. The 6 existing subtasks cover the main implementation areas from log management to help systems."
+		},
+		{
+			"taskId": 60,
+			"taskTitle": "Implement Mentor System with Round-Table Discussion Feature",
+			"complexityScore": 8,
+			"recommendedSubtasks": 7,
+			"expansionPrompt": "The current 7 subtasks for implementing the mentor system appear well-structured. Consider if any additional subtasks are needed for mentor personality consistency, discussion quality evaluation, or performance optimization with multiple mentors.",
+			"reasoning": "This task involves creating a sophisticated mentor simulation system with round-table discussions. The complexity is high due to the need for personality simulation, complex LLM integration, and structured discussion management. The 7 existing subtasks cover the main implementation areas from architecture to testing."
+		},
+		{
+			"taskId": 62,
+			"taskTitle": "Add --simple Flag to Update Commands for Direct Text Input",
+			"complexityScore": 4,
+			"recommendedSubtasks": 8,
+			"expansionPrompt": "The current 8 subtasks for implementing the --simple flag appear comprehensive. Consider if any additional subtasks are needed for user experience testing or documentation updates.",
+			"reasoning": "This task involves adding a simple flag option to bypass AI processing for updates. The complexity is relatively low as it primarily involves modifying existing command handlers and adding a flag. The 8 existing subtasks are very detailed and cover all aspects of implementation from command parsing to testing."
+		},
+		{
+			"taskId": 63,
+			"taskTitle": "Add pnpm Support for the Taskmaster Package",
+			"complexityScore": 5,
+			"recommendedSubtasks": 8,
+			"expansionPrompt": "The current 8 subtasks for adding pnpm support appear comprehensive. Consider if any additional subtasks are needed for CI/CD integration, performance comparison, or documentation updates.",
+			"reasoning": "This task involves ensuring the package works correctly with pnpm as an alternative package manager. The complexity is moderate as it requires careful testing of installation processes and scripts across different environments. The 8 existing subtasks cover all major aspects from documentation to binary verification."
+		},
+		{
+			"taskId": 64,
+			"taskTitle": "Add Yarn Support for Taskmaster Installation",
+			"complexityScore": 5,
+			"recommendedSubtasks": 9,
+			"expansionPrompt": "The current 9 subtasks for adding Yarn support appear comprehensive. Consider if any additional subtasks are needed for performance testing, CI/CD integration, or compatibility with different Yarn versions.",
+			"reasoning": "This task involves ensuring the package works correctly with Yarn as an alternative package manager. The complexity is moderate as it requires careful testing of installation processes and scripts across different environments. The 9 existing subtasks are very detailed and cover all aspects from configuration to testing."
+		},
+		{
+			"taskId": 65,
+			"taskTitle": "Add Bun Support for Taskmaster Installation",
+			"complexityScore": 6,
+			"recommendedSubtasks": 6,
+			"expansionPrompt": "The current 6 subtasks for adding Bun support appear well-structured. Consider if any additional subtasks are needed for handling Bun-specific issues, performance testing, or documentation updates.",
+			"reasoning": "This task involves adding support for the newer Bun package manager. The complexity is slightly higher than the other package manager tasks due to Bun's differences from Node.js and potential compatibility issues. The 6 existing subtasks cover the main implementation areas from research to documentation."
+		},
+		{
+			"taskId": 67,
+			"taskTitle": "Add CLI JSON output and Cursor keybindings integration",
+			"complexityScore": 5,
+			"recommendedSubtasks": 5,
+			"expansionPrompt": "The current 5 subtasks for implementing JSON output and Cursor keybindings appear well-structured. Consider if any additional subtasks are needed for testing across different operating systems, documentation updates, or user experience improvements.",
+			"reasoning": "This task involves two distinct features: adding JSON output to CLI commands and creating a keybindings installation command. The complexity is moderate as it requires careful handling of different output formats and OS-specific file paths. The 5 existing subtasks cover the main implementation areas for both features."
+		},
+		{
+			"taskId": 68,
+			"taskTitle": "Ability to create tasks without parsing PRD",
+			"complexityScore": 3,
+			"recommendedSubtasks": 2,
+			"expansionPrompt": "The current 2 subtasks for implementing task creation without PRD appear appropriate. Consider if any additional subtasks are needed for validation, error handling, or integration with existing task management workflows.",
+			"reasoning": "This task involves a relatively simple modification to allow task creation without requiring a PRD document. The complexity is low as it primarily involves creating a form interface and saving functionality. The 2 existing subtasks cover the main implementation areas of UI design and data saving."
+		},
+		{
+			"taskId": 72,
+			"taskTitle": "Implement PDF Generation for Project Progress and Dependency Overview",
+			"complexityScore": 7,
+			"recommendedSubtasks": 6,
+			"expansionPrompt": "The current 6 subtasks for implementing PDF generation appear comprehensive. Consider if any additional subtasks are needed for handling large projects, additional visualization options, or integration with existing reporting tools.",
+			"reasoning": "This task involves creating a feature to generate PDF reports of project progress and dependency visualization. The complexity is high due to the need for PDF generation, data collection, and visualization integration. The 6 existing subtasks cover the main implementation areas from library selection to export options."
+		},
+		{
+			"taskId": 75,
+			"taskTitle": "Integrate Google Search Grounding for Research Role",
+			"complexityScore": 5,
+			"recommendedSubtasks": 4,
+			"expansionPrompt": "The current 4 subtasks for integrating Google Search Grounding appear well-structured. Consider if any additional subtasks are needed for testing with different query types, error handling, or performance optimization.",
+			"reasoning": "This task involves updating the AI service layer to enable Google Search Grounding for research roles. The complexity is moderate as it requires careful integration with the existing AI service architecture and conditional logic. The 4 existing subtasks cover the main implementation areas from service layer modification to testing."
+		},
+		{
+			"taskId": 76,
+			"taskTitle": "Develop E2E Test Framework for Taskmaster MCP Server (FastMCP over stdio)",
+			"complexityScore": 8,
+			"recommendedSubtasks": 7,
+			"expansionPrompt": "The current 7 subtasks for developing the E2E test framework appear comprehensive. Consider if any additional subtasks are needed for test result reporting, CI/CD integration, or performance benchmarking.",
+			"reasoning": "This task involves creating a sophisticated end-to-end testing framework for the MCP server. The complexity is high due to the need for subprocess management, protocol handling, and robust test case definition. The 7 existing subtasks cover the main implementation areas from architecture to documentation."
+		},
+		{
+			"taskId": 77,
+			"taskTitle": "Implement AI Usage Telemetry for Taskmaster (with external analytics endpoint)",
+			"complexityScore": 7,
+			"recommendedSubtasks": 18,
+			"expansionPrompt": "The current 18 subtasks for implementing AI usage telemetry appear very comprehensive. Consider if any additional subtasks are needed for security hardening, privacy compliance, or user feedback collection.",
+			"reasoning": "This task involves creating a telemetry system to track AI usage metrics. The complexity is high due to the need for secure data transmission, comprehensive data collection, and integration across multiple commands. The 18 existing subtasks are extremely detailed and cover all aspects of implementation from core utility to provider-specific updates."
+		},
+		{
+			"taskId": 80,
+			"taskTitle": "Implement Unique User ID Generation and Storage During Installation",
+			"complexityScore": 4,
+			"recommendedSubtasks": 5,
+			"expansionPrompt": "The current 5 subtasks for implementing unique user ID generation appear well-structured. Consider if any additional subtasks are needed for privacy compliance, security auditing, or integration with the telemetry system.",
+			"reasoning": "This task involves generating and storing a unique user identifier during installation. The complexity is relatively low as it primarily involves UUID generation and configuration file management. The 5 existing subtasks cover the main implementation areas from script structure to documentation."
+		},
+		{
+			"taskId": 81,
+			"taskTitle": "Task #81: Implement Comprehensive Local Telemetry System with Future Server Integration Capability",
+			"complexityScore": 8,
+			"recommendedSubtasks": 6,
+			"expansionPrompt": "The current 6 subtasks for implementing the comprehensive local telemetry system appear well-structured. Consider if any additional subtasks are needed for data migration, storage optimization, or visualization tools.",
+			"reasoning": "This task involves expanding the telemetry system to capture additional metrics and implement local storage with future server integration capability. The complexity is high due to the breadth of data collection, storage requirements, and privacy considerations. The 6 existing subtasks cover the main implementation areas from data collection to user-facing benefits."
+		},
+		{
+			"taskId": 82,
+			"taskTitle": "Update supported-models.json with token limit fields",
+			"complexityScore": 3,
+			"recommendedSubtasks": 1,
+			"expansionPrompt": "This task appears straightforward enough to be implemented without further subtasks. Focus on researching accurate token limit values for each model and ensuring backward compatibility.",
+			"reasoning": "This task involves a simple update to the supported-models.json file to include new token limit fields. The complexity is low as it primarily involves research and data entry. No subtasks are necessary as the task is well-defined and focused."
+		},
+		{
+			"taskId": 83,
+			"taskTitle": "Update config-manager.js defaults and getters",
+			"complexityScore": 4,
+			"recommendedSubtasks": 1,
+			"expansionPrompt": "This task appears straightforward enough to be implemented without further subtasks. Focus on updating the DEFAULTS object and related getter functions while maintaining backward compatibility.",
+			"reasoning": "This task involves updating the config-manager.js module to replace maxTokens with more specific token limit fields. The complexity is relatively low as it primarily involves modifying existing code rather than creating new functionality. No subtasks are necessary as the task is well-defined and focused."
+		},
+		{
+			"taskId": 84,
+			"taskTitle": "Implement token counting utility",
+			"complexityScore": 5,
+			"recommendedSubtasks": 1,
+			"expansionPrompt": "This task appears well-defined enough to be implemented without further subtasks. Focus on implementing accurate token counting for different models and proper fallback mechanisms.",
+			"reasoning": "This task involves creating a utility function to count tokens for different AI models. The complexity is moderate as it requires integration with the tiktoken library and handling different tokenization schemes. No subtasks are necessary as the task is well-defined and focused."
+		},
+		{
+			"taskId": 69,
+			"taskTitle": "Enhance Analyze Complexity for Specific Task IDs",
+			"complexityScore": 7,
+			"recommendedSubtasks": 6,
+			"expansionPrompt": "Break down the task 'Enhance Analyze Complexity for Specific Task IDs' into 6 subtasks focusing on: 1) Core logic modification to accept ID parameters, 2) Report merging functionality, 3) CLI interface updates, 4) MCP tool integration, 5) Documentation updates, and 6) Comprehensive testing across all components.",
+			"reasoning": "This task involves modifying existing functionality across multiple components (core logic, CLI, MCP) with complex logic for filtering tasks and merging reports. The implementation requires careful handling of different parameter combinations and edge cases. The task has interdependent components that need to work together seamlessly, and the report merging functionality adds significant complexity."
+		},
+		{
+			"taskId": 70,
+			"taskTitle": "Implement 'diagram' command for Mermaid diagram generation",
+			"complexityScore": 6,
+			"recommendedSubtasks": 5,
+			"expansionPrompt": "Break down the 'diagram' command implementation into 5 subtasks: 1) Command interface and parameter handling, 2) Task data extraction and transformation to Mermaid syntax, 3) Diagram rendering with status color coding, 4) Output formatting and file export functionality, and 5) Error handling and edge case management.",
+			"reasoning": "This task requires implementing a new feature rather than modifying existing code, which reduces complexity from integration challenges. However, it involves working with visualization logic, dependency mapping, and multiple output formats. The color coding based on status and handling of dependency relationships adds moderate complexity. The task is well-defined but requires careful attention to diagram formatting and error handling."
+		},
+		{
+			"taskId": 85,
+			"taskTitle": "Update ai-services-unified.js for dynamic token limits",
+			"complexityScore": 7,
+			"recommendedSubtasks": 5,
+			"expansionPrompt": "Break down the update of ai-services-unified.js for dynamic token limits into subtasks such as: (1) Import and integrate the token counting utility, (2) Refactor _unifiedServiceRunner to calculate and enforce dynamic token limits, (3) Update error handling for token limit violations, (4) Add and verify logging for token usage, (5) Write and execute tests for various prompt and model scenarios.",
+			"reasoning": "This task involves significant code changes to a core function, integration of a new utility, dynamic logic for multiple models, and robust error handling. It also requires comprehensive testing for edge cases and integration, making it moderately complex and best managed by splitting into focused subtasks."
+		},
+		{
+			"taskId": 87,
+			"taskTitle": "Implement validation and error handling",
+			"complexityScore": 5,
+			"recommendedSubtasks": 4,
+			"expansionPrompt": "Decompose this task into: (1) Add validation logic for model and config loading, (2) Implement error handling and fallback mechanisms, (3) Enhance logging and reporting for token usage, (4) Develop helper functions for configuration suggestions and improvements.",
+			"reasoning": "This task is primarily about adding validation, error handling, and logging. While important for robustness, the logic is straightforward and can be modularized into a few clear subtasks."
+		},
+		{
+			"taskId": 89,
+			"taskTitle": "Introduce Prioritize Command with Enhanced Priority Levels",
+			"complexityScore": 6,
+			"recommendedSubtasks": 5,
+			"expansionPrompt": "Expand this task into: (1) Implement the prioritize command with all required flags and shorthands, (2) Update CLI output and help documentation for new priority levels, (3) Ensure backward compatibility with existing commands, (4) Add error handling for invalid inputs, (5) Write and run tests for all command scenarios.",
+			"reasoning": "This CLI feature requires command parsing, updating internal logic for new priority levels, documentation, and robust error handling. The complexity is moderate due to the need for backward compatibility and comprehensive testing."
+		},
+		{
+			"taskId": 90,
+			"taskTitle": "Implement Subtask Progress Analyzer and Reporting System",
+			"complexityScore": 8,
+			"recommendedSubtasks": 6,
+			"expansionPrompt": "Break down the analyzer implementation into: (1) Design and implement progress tracking logic, (2) Develop status validation and issue detection, (3) Build the reporting system with multiple output formats, (4) Integrate analyzer with the existing task management system, (5) Optimize for performance and scalability, (6) Write unit, integration, and performance tests.",
+			"reasoning": "This is a complex, multi-faceted feature involving data analysis, reporting, integration, and performance optimization. It touches many parts of the system and requires careful design, making it one of the most complex tasks in the list."
+		},
+		{
+			"taskId": 91,
+			"taskTitle": "Implement Move Command for Tasks and Subtasks",
+			"complexityScore": 7,
+			"recommendedSubtasks": 5,
+			"expansionPrompt": "Expand this task into: (1) Implement move logic for tasks and subtasks, (2) Handle edge cases (invalid ids, non-existent parents, circular dependencies), (3) Update CLI to support move command with flags, (4) Ensure data integrity and update relationships, (5) Write and execute tests for various move scenarios.",
+			"reasoning": "Moving tasks and subtasks requires careful handling of hierarchical data, edge cases, and data integrity. The command must be robust and user-friendly, necessitating multiple focused subtasks for safe implementation."
+		},
+		{
+			"taskId": 92,
+			"taskTitle": "Add Global Joke Flag to All CLI Commands",
+			"complexityScore": 8,
+			"recommendedSubtasks": 7,
+			"expansionPrompt": "Break down the implementation of the global --joke flag into the following subtasks: (1) Update CLI foundation to support global flags, (2) Develop the joke-service module with joke management and category support, (3) Integrate joke output into existing output utilities, (4) Update all CLI commands for joke flag compatibility, (5) Add configuration options for joke categories and custom jokes, (6) Implement comprehensive testing (flag recognition, output, content, integration, performance, regression), (7) Update documentation and usage examples.",
+			"reasoning": "This task requires changes across the CLI foundation, output utilities, all command modules, and configuration management. It introduces a new service module, global flag handling, and output logic that must not interfere with existing features (including JSON output). The need for robust testing and backward compatibility further increases complexity. The scope spans multiple code areas and requires careful integration, justifying a high complexity score and a detailed subtask breakdown to manage risk and ensure maintainability.[2][3][5]"
+		},
+		{
+			"taskId": 94,
+			"taskTitle": "Implement Standalone 'research' CLI Command for AI-Powered Queries",
+			"complexityScore": 7,
+			"recommendedSubtasks": 6,
+			"expansionPrompt": "Break down the implementation of the 'research' CLI command into logical subtasks covering command registration, parameter handling, context gathering, AI service integration, output formatting, and documentation.",
+			"reasoning": "This task has moderate to high complexity (7/10) due to multiple interconnected components: CLI argument parsing, integration with AI services, context gathering from various sources, and output formatting with different modes. The cyclomatic complexity would be significant with multiple decision paths for handling different flags and options. The task requires understanding existing patterns and extending the codebase in a consistent manner, suggesting the need for careful decomposition into manageable subtasks."
+		},
+		{
+			"taskId": 86,
+			"taskTitle": "Implement GitHub Issue Export Feature",
+			"complexityScore": 9,
+			"recommendedSubtasks": 10,
+			"expansionPrompt": "Break down the implementation of the GitHub Issue Export Feature into detailed subtasks covering: command structure and CLI integration, GitHub API client development, authentication and error handling, task-to-issue mapping logic, content formatting and markdown conversion, bidirectional linking and metadata management, extensible architecture and adapter interfaces, configuration and settings management, documentation, and comprehensive testing (unit, integration, edge cases, performance).",
+			"reasoning": "This task involves designing and implementing a robust, extensible export system with deep integration into GitHub, including bidirectional workflows, complex data mapping, error handling, and support for future platforms. The requirements span CLI design, API integration, content transformation, metadata management, extensibility, configuration, and extensive testing. The breadth and depth of these requirements, along with the need for maintainability and future extensibility, place this task at a high complexity level. Breaking it into at least 10 subtasks will ensure each major component and concern is addressed systematically, reducing risk and improving quality."
+		}
+	]
+}

.taskmaster/reports/task-complexity-report_test-prd-tag.json

@@ -0,0 +1,53 @@
+{
+	"meta": {
+		"generatedAt": "2025-06-13T06:52:00.611Z",
+		"tasksAnalyzed": 5,
+		"totalTasks": 5,
+		"analysisCount": 5,
+		"thresholdScore": 5,
+		"projectName": "Taskmaster",
+		"usedResearch": true
+	},
+	"complexityAnalysis": [
+		{
+			"taskId": 1,
+			"taskTitle": "Setup Project Repository and Node.js Environment",
+			"complexityScore": 4,
+			"recommendedSubtasks": 6,
+			"expansionPrompt": "Break down the setup process into subtasks such as initializing npm, creating directory structure, installing dependencies, configuring package.json, adding configuration files, and setting up the main entry point.",
+			"reasoning": "This task involves several standard setup steps that are well-defined and sequential, with low algorithmic complexity but moderate procedural detail. Each step is independent and can be assigned as a subtask, making the overall complexity moderate."
+		},
+		{
+			"taskId": 2,
+			"taskTitle": "Implement Core Functionality and CLI Interface",
+			"complexityScore": 7,
+			"recommendedSubtasks": 7,
+			"expansionPrompt": "Expand into subtasks for implementing main logic, designing CLI commands, creating the CLI entry point, integrating business logic, adding error handling, formatting output, and ensuring CLI executability.",
+			"reasoning": "This task requires both application logic and user interface (CLI) development, including error handling and integration. The need to coordinate between core logic and CLI, plus ensuring usability, increases complexity and warrants detailed subtasking."
+		},
+		{
+			"taskId": 3,
+			"taskTitle": "Implement Testing Suite and Validation",
+			"complexityScore": 6,
+			"recommendedSubtasks": 6,
+			"expansionPrompt": "Divide into subtasks for configuring Jest, writing unit tests, writing integration tests, testing CLI commands, setting up coverage reporting, and preparing test fixtures/mocks.",
+			"reasoning": "Comprehensive testing involves multiple types of tests and configuration steps. While each is straightforward, the breadth of coverage and need for automation and validation increases the overall complexity."
+		},
+		{
+			"taskId": 4,
+			"taskTitle": "Setup Node.js Project with CLI Interface",
+			"complexityScore": 5,
+			"recommendedSubtasks": 7,
+			"expansionPrompt": "Break down into subtasks for npm initialization, package.json setup, directory structure creation, dependency installation, CLI entry point creation, package.json bin configuration, and CLI executability.",
+			"reasoning": "This task combines project setup with initial CLI implementation. While each step is standard, the integration of CLI elements adds a layer of complexity beyond a basic setup."
+		},
+		{
+			"taskId": 5,
+			"taskTitle": "Implement Core Functionality with Testing",
+			"complexityScore": 8,
+			"recommendedSubtasks": 8,
+			"expansionPrompt": "Expand into subtasks for implementing each feature (A, B, C), setting up the testing framework, writing tests for each feature, integrating CLI with core logic, and adding coverage reporting.",
+			"reasoning": "This task requires simultaneous development of multiple features, integration with CLI, and comprehensive testing. The coordination and depth required for both implementation and validation make it the most complex among the listed tasks."
+		}
+	]
+}

.taskmaster/state.json

@@ -0,0 +1,9 @@
+{
+	"currentTag": "master",
+	"lastSwitched": "2025-06-14T20:37:15.456Z",
+	"branchTagMapping": {
+		"v017-adds": "v017-adds",
+		"next": "next"
+	},
+	"migrationNoticeShown": true
+}

.taskmaster/tasks/task_001_test-tag.txt

@@ -0,0 +1,23 @@
+# Task ID: 1
+# Title: Implement TTS Flag for Taskmaster Commands
+# Status: pending
+# Dependencies: 16 (Not found)
+# Priority: medium
+# Description: Add text-to-speech functionality to taskmaster commands with configurable voice options and audio output settings.
+# Details:
+Implement TTS functionality including:
+- Add --tts flag to all relevant taskmaster commands (list, show, generate, etc.)
+- Integrate with system TTS engines (Windows SAPI, macOS say command, Linux espeak/festival)
+- Create TTS configuration options in the configuration management system
+- Add voice selection options (male/female, different languages if available)
+- Implement audio output settings (volume, speed, pitch)
+- Add TTS-specific error handling for cases where TTS is unavailable
+- Create fallback behavior when TTS fails (silent failure or text output)
+- Support for reading task titles, descriptions, and status updates aloud
+- Add option to read entire task lists or individual task details
+- Implement TTS for command confirmations and error messages
+- Create TTS output formatting to make spoken text more natural (removing markdown, formatting numbers/dates appropriately)
+- Add configuration option to enable/disable TTS globally
+
+# Test Strategy:
+Test TTS functionality across different operating systems (Windows, macOS, Linux). Verify that the --tts flag works with all major commands. Test voice configuration options and ensure audio output settings are properly applied. Test error handling when TTS services are unavailable. Verify that text formatting for speech is natural and understandable. Test with various task content types including special characters, code snippets, and long descriptions. Ensure TTS can be disabled and enabled through configuration.

CONTRIBUTING.md

@@ -0,0 +1,335 @@
+# Contributing to Task Master
+
+Thank you for your interest in contributing to Task Master! We're excited to work with you and appreciate your help in making this project better. 🚀
+
+## 🤝 Our Collaborative Approach
+
+We're a **PR-friendly team** that values collaboration:
+
+- ✅ **We review PRs quickly** - Usually within hours, not days
+- ✅ **We're super reactive** - Expect fast feedback and engagement
+- ✅ **We sometimes take over PRs** - If your contribution is valuable but needs cleanup, we might jump in to help finish it
+- ✅ **We're open to all contributions** - From bug fixes to major features
+
+**We don't mind AI-generated code**, but we do expect you to:
+
+- ✅ **Review and understand** what the AI generated
+- ✅ **Test the code thoroughly** before submitting
+- ✅ **Ensure it's well-written** and follows our patterns
+- ❌ **Don't submit "AI slop"** - untested, unreviewed AI output
+
+> **Why this matters**: We spend significant time reviewing PRs. Help us help you by submitting quality contributions that save everyone time!
+
+## 🚀 Quick Start for Contributors
+
+### 1. Fork and Clone
+
+```bash
+git clone https://github.com/YOUR_USERNAME/claude-task-master.git
+cd claude-task-master
+npm install
+```
+
+### 2. Create a Feature Branch
+
+**Important**: Always target the `next` branch, not `main`:
+
+```bash
+git checkout next
+git pull origin next
+git checkout -b feature/your-feature-name
+```
+
+### 3. Make Your Changes
+
+Follow our development guidelines below.
+
+### 4. Test Everything Yourself
+
+**Before submitting your PR**, ensure:
+
+```bash
+# Run all tests
+npm test
+
+# Check formatting
+npm run format-check
+
+# Fix formatting if needed
+npm run format
+```
+
+### 5. Create a Changeset
+
+**Required for most changes**:
+
+```bash
+npm run changeset
+```
+
+See the [Changeset Guidelines](#changeset-guidelines) below for details.
+
+### 6. Submit Your PR
+
+- Target the `next` branch
+- Write a clear description
+- Reference any related issues
+
+## 📋 Development Guidelines
+
+### Branch Strategy
+
+- **`main`**: Production-ready code
+- **`next`**: Development branch - **target this for PRs**
+- **Feature branches**: `feature/description` or `fix/description`
+
+### Code Quality Standards
+
+1. **Write tests** for new functionality
+2. **Follow existing patterns** in the codebase
+3. **Add JSDoc comments** for functions
+4. **Keep functions focused** and single-purpose
+
+### Testing Requirements
+
+Your PR **must pass all CI checks**:
+
+- ✅ **Unit tests**: `npm test`
+- ✅ **Format check**: `npm run format-check`
+
+**Test your changes locally first** - this saves review time and shows you care about quality.
+
+## 📦 Changeset Guidelines
+
+We use [Changesets](https://github.com/changesets/changesets) to manage versioning and generate changelogs.
+
+### When to Create a Changeset
+
+**Always create a changeset for**:
+
+- ✅ New features
+- ✅ Bug fixes
+- ✅ Breaking changes
+- ✅ Performance improvements
+- ✅ User-facing documentation updates
+- ✅ Dependency updates that affect functionality
+
+**Skip changesets for**:
+
+- ❌ Internal documentation only
+- ❌ Test-only changes
+- ❌ Code formatting/linting
+- ❌ Development tooling that doesn't affect users
+
+### How to Create a Changeset
+
+1. **After making your changes**:
+
+   ```bash
+   npm run changeset
+   ```
+
+2. **Choose the bump type**:
+
+   - **Major**: Breaking changes
+   - **Minor**: New features
+   - **Patch**: Bug fixes, docs, performance improvements
+
+3. **Write a clear summary**:
+
+   ```
+   Add support for custom AI models in MCP configuration
+   ```
+
+4. **Commit the changeset file** with your changes:
+   ```bash
+   git add .changeset/*.md
+   git commit -m "feat: add custom AI model support"
+   ```
+
+### Changeset vs Git Commit Messages
+
+- **Changeset summary**: User-facing, goes in CHANGELOG.md
+- **Git commit**: Developer-facing, explains the technical change
+
+Example:
+
+```bash
+# Changeset summary (user-facing)
+"Add support for custom Ollama models"
+
+# Git commit message (developer-facing)
+"feat(models): implement custom Ollama model validation
+
+- Add model validation for custom Ollama endpoints
+- Update configuration schema to support custom models
+- Add tests for new validation logic"
+```
+
+## 🔧 Development Setup
+
+### Prerequisites
+
+- Node.js 18+
+- npm or yarn
+
+### Environment Setup
+
+1. **Copy environment template**:
+
+   ```bash
+   cp .env.example .env
+   ```
+
+2. **Add your API keys** (for testing AI features):
+   ```bash
+   ANTHROPIC_API_KEY=your_key_here
+   OPENAI_API_KEY=your_key_here
+   # Add others as needed
+   ```
+
+### Running Tests
+
+```bash
+# Run all tests
+npm test
+
+# Run tests in watch mode
+npm run test:watch
+
+# Run with coverage
+npm run test:coverage
+
+# Run E2E tests
+npm run test:e2e
+```
+
+### Code Formatting
+
+We use Prettier for consistent formatting:
+
+```bash
+# Check formatting
+npm run format-check
+
+# Fix formatting
+npm run format
+```
+
+## 📝 PR Guidelines
+
+### Before Submitting
+
+- [ ] **Target the `next` branch**
+- [ ] **Test everything locally**
+- [ ] **Run the full test suite**
+- [ ] **Check code formatting**
+- [ ] **Create a changeset** (if needed)
+- [ ] **Re-read your changes** - ensure they're clean and well-thought-out
+
+### PR Description Template
+
+```markdown
+## Description
+
+Brief description of what this PR does.
+
+## Type of Change
+
+- [ ] Bug fix
+- [ ] New feature
+- [ ] Breaking change
+- [ ] Documentation update
+
+## Testing
+
+- [ ] I have tested this locally
+- [ ] All existing tests pass
+- [ ] I have added tests for new functionality
+
+## Changeset
+
+- [ ] I have created a changeset (or this change doesn't need one)
+
+## Additional Notes
+
+Any additional context or notes for reviewers.
+```
+
+### What We Look For
+
+✅ **Good PRs**:
+
+- Clear, focused changes
+- Comprehensive testing
+- Good commit messages
+- Proper changeset (when needed)
+- Self-reviewed code
+
+❌ **Avoid**:
+
+- Massive PRs that change everything
+- Untested code
+- Formatting issues
+- Missing changesets for user-facing changes
+- AI-generated code that wasn't reviewed
+
+## 🏗️ Project Structure
+
+```
+claude-task-master/
+├── bin/                    # CLI executables
+├── mcp-server/            # MCP server implementation
+├── scripts/               # Core task management logic
+├── src/                   # Shared utilities and providers and well refactored code (we are slowly moving everything here)
+├── tests/                 # Test files
+├── docs/                  # Documentation
+└── .cursor/               # Cursor IDE rules and configuration
+└── assets/							   # Assets like rules and configuration for all IDEs
+```
+
+### Key Areas for Contribution
+
+- **CLI Commands**: `scripts/modules/commands.js`
+- **MCP Tools**: `mcp-server/src/tools/`
+- **Core Logic**: `scripts/modules/task-manager/`
+- **AI Providers**: `src/ai-providers/`
+- **Tests**: `tests/`
+
+## 🐛 Reporting Issues
+
+### Bug Reports
+
+Include:
+
+- Task Master version
+- Node.js version
+- Operating system
+- Steps to reproduce
+- Expected vs actual behavior
+- Error messages/logs
+
+### Feature Requests
+
+Include:
+
+- Clear description of the feature
+- Use case/motivation
+- Proposed implementation (if you have ideas)
+- Willingness to contribute
+
+## 💬 Getting Help
+
+- **Discord**: [Join our community](https://discord.gg/taskmasterai)
+- **Issues**: [GitHub Issues](https://github.com/eyaltoledano/claude-task-master/issues)
+- **Discussions**: [GitHub Discussions](https://github.com/eyaltoledano/claude-task-master/discussions)
+
+## 📄 License
+
+By contributing, you agree that your contributions will be licensed under the same license as the project (MIT with Commons Clause).
+
+---
+
+**Thank you for contributing to Task Master!** 🎉
+
+Your contributions help make AI-driven development more accessible and efficient for everyone.

README-task-master.md

@@ -13,25 +13,22 @@ A task management system for AI-driven development with Claude, designed to work
 
 ## Configuration
 
-The script can be configured through environment variables in a `.env` file at the root of the project:
+Taskmaster uses two primary configuration methods:
 
-### Required Configuration
+1.  **`.taskmasterconfig` File (Project Root)**
 
-- `ANTHROPIC_API_KEY`: Your Anthropic API key for Claude
+    - Stores most settings: AI model selections (main, research, fallback), parameters (max tokens, temperature), logging level, default priority/subtasks, project name.
+    - **Created and managed using `task-master models --setup` CLI command or the `models` MCP tool.**
+    - Do not edit manually unless you know what you are doing.
 
-### Optional Configuration
+2.  **Environment Variables (`.env` file or MCP `env` block)**
+    - Used **only** for sensitive **API Keys** (e.g., `ANTHROPIC_API_KEY`, `PERPLEXITY_API_KEY`, etc.) and specific endpoints (like `OLLAMA_BASE_URL`).
+    - **For CLI:** Place keys in a `.env` file in your project root.
+    - **For MCP/Cursor:** Place keys in the `env` section of your `.cursor/mcp.json` (or other MCP config according to the AI IDE or client you use) file under the `taskmaster-ai` server definition.
 
-- `MODEL`: Specify which Claude model to use (default: "claude-3-7-sonnet-20250219")
-- `MAX_TOKENS`: Maximum tokens for model responses (default: 4000)
-- `TEMPERATURE`: Temperature for model responses (default: 0.7)
-- `PERPLEXITY_API_KEY`: Your Perplexity API key for research-backed subtask generation
-- `PERPLEXITY_MODEL`: Specify which Perplexity model to use (default: "sonar-medium-online")
-- `DEBUG`: Enable debug logging (default: false)
-- `LOG_LEVEL`: Log level - debug, info, warn, error (default: info)
-- `DEFAULT_SUBTASKS`: Default number of subtasks when expanding (default: 3)
-- `DEFAULT_PRIORITY`: Default priority for generated tasks (default: medium)
-- `PROJECT_NAME`: Override default project name in tasks.json
-- `PROJECT_VERSION`: Override default version in tasks.json
+**Important:** Settings like model choices, max tokens, temperature, and log level are **no longer configured via environment variables.** Use the `task-master models` command or tool.
+
+See the [Configuration Guide](docs/configuration.md) for full details.
 
 ## Installation
 
@@ -50,7 +47,7 @@ npm install task-master-ai
 task-master init
 
 # If installed locally
-npx task-master-init
+npx task-master init
 ```
 
 This will prompt you for project details and set up a new project with the necessary files and structure.
@@ -146,7 +143,7 @@ To enable enhanced task management capabilities directly within Cursor using the
 4. Configure with the following details:
    - Name: "Task Master"
    - Type: "Command"
-   - Command: "npx -y --package task-master-ai task-master-mcp"
+   - Command: "npx -y task-master-ai"
 5. Save the settings
 
 Once configured, you can interact with Task Master's task management commands directly through Cursor's interface, providing a more integrated experience.

README.md

@@ -1,65 +1,174 @@
 # Task Master [![GitHub stars](https://img.shields.io/github/stars/eyaltoledano/claude-task-master?style=social)](https://github.com/eyaltoledano/claude-task-master/stargazers)
 
-[![CI](https://github.com/eyaltoledano/claude-task-master/actions/workflows/ci.yml/badge.svg)](https://github.com/eyaltoledano/claude-task-master/actions/workflows/ci.yml) [![npm version](https://badge.fury.io/js/task-master-ai.svg)](https://badge.fury.io/js/task-master-ai) ![Discord Follow](https://dcbadge.limes.pink/api/server/https://discord.gg/2ms58QJjqp?style=flat) [![License: MIT with Commons Clause](https://img.shields.io/badge/license-MIT%20with%20Commons%20Clause-blue.svg)](LICENSE)
+[![CI](https://github.com/eyaltoledano/claude-task-master/actions/workflows/ci.yml/badge.svg)](https://github.com/eyaltoledano/claude-task-master/actions/workflows/ci.yml) [![npm version](https://badge.fury.io/js/task-master-ai.svg)](https://badge.fury.io/js/task-master-ai) [![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/taskmasterai?style=flat)](https://discord.gg/taskmasterai) [![License: MIT with Commons Clause](https://img.shields.io/badge/license-MIT%20with%20Commons%20Clause-blue.svg)](LICENSE)
 
-### By [@eyaltoledano](https://x.com/eyaltoledano) & [@RalphEcom](https://x.com/RalphEcom)
+[![NPM Downloads](https://img.shields.io/npm/d18m/task-master-ai?style=flat)](https://www.npmjs.com/package/task-master-ai) [![NPM Downloads](https://img.shields.io/npm/dm/task-master-ai?style=flat)](https://www.npmjs.com/package/task-master-ai) [![NPM Downloads](https://img.shields.io/npm/dw/task-master-ai?style=flat)](https://www.npmjs.com/package/task-master-ai)
 
-[![Twitter Follow](https://img.shields.io/twitter/follow/eyaltoledano?style=flat)](https://x.com/eyaltoledano)
-[![Twitter Follow](https://img.shields.io/twitter/follow/RalphEcom?style=flat)](https://x.com/RalphEcom)
+## By [@eyaltoledano](https://x.com/eyaltoledano), [@RalphEcom](https://x.com/RalphEcom) & [@jasonzhou1993](https://x.com/jasonzhou1993)
+
+[![Twitter Follow](https://img.shields.io/twitter/follow/eyaltoledano)](https://x.com/eyaltoledano)
+[![Twitter Follow](https://img.shields.io/twitter/follow/RalphEcom)](https://x.com/RalphEcom)
+[![Twitter Follow](https://img.shields.io/twitter/follow/jasonzhou1993)](https://x.com/jasonzhou1993)
 
 A task management system for AI-driven development with Claude, designed to work seamlessly with Cursor AI.
 
+## Documentation
+
+For more detailed information, check out the documentation in the `docs` directory:
+
+- [Configuration Guide](docs/configuration.md) - Set up environment variables and customize Task Master
+- [Tutorial](docs/tutorial.md) - Step-by-step guide to getting started with Task Master
+- [Command Reference](docs/command-reference.md) - Complete list of all available commands
+- [Task Structure](docs/task-structure.md) - Understanding the task format and features
+- [Example Interactions](docs/examples.md) - Common Cursor AI interaction examples
+- [Migration Guide](docs/migration-guide.md) - Guide to migrating to the new project structure
+
+#### Quick Install for Cursor 1.0+ (One-Click)
+
+📋 Click the copy button (top-right of code block) then paste into your browser:
+
+```text
+cursor://anysphere.cursor-deeplink/mcp/install?name=taskmaster-ai&config=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
+```
+
+> **Note:** After clicking the link, you'll still need to add your API keys to the configuration. The link installs the MCP server with placeholder keys that you'll need to replace with your actual API keys.
+
 ## Requirements
 
+Taskmaster utilizes AI across several commands, and those require a separate API key. You can use a variety of models from different AI providers provided you add your API keys. For example, if you want to use Claude 3.7, you'll need an Anthropic API key.
+
+You can define 3 types of models to be used: the main model, the research model, and the fallback model (in case either the main or research fail). Whatever model you use, its provider API key must be present in either mcp.json or .env.
+
+At least one (1) of the following is required:
+
 - Anthropic API key (Claude API)
-- OpenAI SDK (for Perplexity API integration, optional)
+- OpenAI API key
+- Google Gemini API key
+- Perplexity API key (for research model)
+- xAI API Key (for research or main model)
+- OpenRouter API Key (for research or main model)
+
+Using the research model is optional but highly recommended. You will need at least ONE API key. Adding all API keys enables you to seamlessly switch between model providers at will.
 
 ## Quick Start
 
-### Option 1 | MCP (Recommended):
+### Option 1: MCP (Recommended)
 
-MCP (Model Control Protocol) provides the easiest way to get started with Task Master directly in your editor.
+MCP (Model Control Protocol) lets you run Task Master directly from your editor.
 
-1. **Add the MCP config to your editor** (Cursor recommended, but it works with other text editors):
+#### 1. Add your MCP config at the following path depending on your editor
+
+| Editor       | Scope   | Linux/macOS Path                      | Windows Path                                      | Key          |
+| ------------ | ------- | ------------------------------------- | ------------------------------------------------- | ------------ |
+| **Cursor**   | Global  | `~/.cursor/mcp.json`                  | `%USERPROFILE%\.cursor\mcp.json`                  | `mcpServers` |
+|              | Project | `<project_folder>/.cursor/mcp.json`   | `<project_folder>\.cursor\mcp.json`               | `mcpServers` |
+| **Windsurf** | Global  | `~/.codeium/windsurf/mcp_config.json` | `%USERPROFILE%\.codeium\windsurf\mcp_config.json` | `mcpServers` |
+| **VS Code**  | Project | `<project_folder>/.vscode/mcp.json`   | `<project_folder>\.vscode\mcp.json`               | `servers`    |
+
+##### Manual Configuration
+
+###### Cursor & Windsurf (`mcpServers`)
 
 ```json
 {
-	"mcpServers": {
-		"taskmaster-ai": {
-			"command": "npx",
-			"args": ["-y", "--package", "task-master-ai", "task-master-mcp"],
-			"env": {
-				"ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
-				"PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
-				"MODEL": "claude-3-7-sonnet-20250219",
-				"PERPLEXITY_MODEL": "sonar-pro",
-				"MAX_TOKENS": 128000,
-				"TEMPERATURE": 0.2,
-				"DEFAULT_SUBTASKS": 5,
-				"DEFAULT_PRIORITY": "medium"
-			}
-		}
-	}
+  "mcpServers": {
+    "taskmaster-ai": {
+      "command": "npx",
+      "args": ["-y", "--package=task-master-ai", "task-master-ai"],
+      "env": {
+        "ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
+        "PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
+        "OPENAI_API_KEY": "YOUR_OPENAI_KEY_HERE",
+        "GOOGLE_API_KEY": "YOUR_GOOGLE_KEY_HERE",
+        "MISTRAL_API_KEY": "YOUR_MISTRAL_KEY_HERE",
+        "OPENROUTER_API_KEY": "YOUR_OPENROUTER_KEY_HERE",
+        "XAI_API_KEY": "YOUR_XAI_KEY_HERE",
+        "AZURE_OPENAI_API_KEY": "YOUR_AZURE_KEY_HERE",
+        "OLLAMA_API_KEY": "YOUR_OLLAMA_API_KEY_HERE"
+      }
+    }
+  }
 }
 ```
 
-2. **Enable the MCP** in your editor
+> 🔑 Replace `YOUR_…_KEY_HERE` with your real API keys. You can remove keys you don't use.
 
-3. **Prompt the AI** to initialize Task Master:
+###### VS Code (`servers` + `type`)
 
-```
-Can you please initialize taskmaster-ai into my project?
+```json
+{
+  "servers": {
+    "taskmaster-ai": {
+      "command": "npx",
+      "args": ["-y", "--package=task-master-ai", "task-master-ai"],
+      "env": {
+        "ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
+        "PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
+        "OPENAI_API_KEY": "YOUR_OPENAI_KEY_HERE",
+        "GOOGLE_API_KEY": "YOUR_GOOGLE_KEY_HERE",
+        "MISTRAL_API_KEY": "YOUR_MISTRAL_KEY_HERE",
+        "OPENROUTER_API_KEY": "YOUR_OPENROUTER_KEY_HERE",
+        "XAI_API_KEY": "YOUR_XAI_KEY_HERE",
+        "AZURE_OPENAI_API_KEY": "YOUR_AZURE_KEY_HERE"
+      },
+      "type": "stdio"
+    }
+  }
+}
 ```
 
-4. **Use common commands** directly through your AI assistant:
+> 🔑 Replace `YOUR_…_KEY_HERE` with your real API keys. You can remove keys you don't use.
+
+#### 2. (Cursor-only) Enable Taskmaster MCP
+
+Open Cursor Settings (Ctrl+Shift+J) ➡ Click on MCP tab on the left ➡ Enable task-master-ai with the toggle
+
+#### 3. (Optional) Configure the models you want to use
+
+In your editor's AI chat pane, say:
 
 ```txt
-Can you parse my PRD at scripts/prd.txt?
-What's the next task I should work on?
-Can you help me implement task 3?
-Can you help me expand task 4?
+Change the main, research and fallback models to <model_name>, <model_name> and <model_name> respectively.
 ```
 
+[Table of available models](docs/models.md)
+
+#### 4. Initialize Task Master
+
+In your editor's AI chat pane, say:
+
+```txt
+Initialize taskmaster-ai in my project
+```
+
+#### 5. Make sure you have a PRD (Recommended)
+
+For **new projects**: Create your PRD at `.taskmaster/docs/prd.txt`  
+For **existing projects**: You can use `scripts/prd.txt` or migrate with `task-master migrate`
+
+An example PRD template is available after initialization in `.taskmaster/templates/example_prd.txt`.
+
+> [!NOTE]
+> While a PRD is recommended for complex projects, you can always create individual tasks by asking "Can you help me implement [description of what you want to do]?" in chat.
+
+**Always start with a detailed PRD.**
+
+The more detailed your PRD, the better the generated tasks will be.
+
+#### 6. Common Commands
+
+Use your AI assistant to:
+
+- Parse requirements: `Can you parse my PRD at scripts/prd.txt?`
+- Plan next step: `What's the next task I should work on?`
+- Implement a task: `Can you help me implement task 3?`
+- View multiple tasks: `Can you show me tasks 1, 3, and 5?`
+- Expand a task: `Can you help me expand task 4?`
+- **Research fresh information**: `Research the latest best practices for implementing JWT authentication with Node.js`
+- **Research with context**: `Research React Query v5 migration strategies for our current API implementation in src/api.js`
+
+[More examples on how to use Task Master in chat](docs/examples.md)
+
 ### Option 2: Using Command Line
 
 #### Installation
@@ -79,7 +188,7 @@ npm install task-master-ai
 task-master init
 
 # If installed locally
-npx task-master-init
+npx task-master init
 ```
 
 This will prompt you for project details and set up a new project with the necessary files and structure.
@@ -99,23 +208,19 @@ task-master list
 # Show the next task to work on
 task-master next
 
+# Show specific task(s) - supports comma-separated IDs
+task-master show 1,3,5
+
+# Research fresh information with project context
+task-master research "What are the latest best practices for JWT authentication?"
+
 # Generate task files
 task-master generate
 ```
 
-## Documentation
-
-For more detailed information, check out the documentation in the `docs` directory:
-
-- [Configuration Guide](docs/configuration.md) - Set up environment variables and customize Task Master
-- [Tutorial](docs/tutorial.md) - Step-by-step guide to getting started with Task Master
-- [Command Reference](docs/command-reference.md) - Complete list of all available commands
-- [Task Structure](docs/task-structure.md) - Understanding the task format and features
-- [Example Interactions](docs/examples.md) - Common Cursor AI interaction examples
-
 ## Troubleshooting
 
-### If `task-master init` doesn't respond:
+### If `task-master init` doesn't respond
 
 Try running it with Node directly:
 

assets/.windsurfrules

@@ -1,18 +1,22 @@
 Below you will find a variety of important rules spanning:
+
 - the dev_workflow
 - the .windsurfrules document self-improvement workflow
 - the template to follow when modifying or adding new sections/rules to this document.
 
 ---
-DEV_WORKFLOW
----
+
+## DEV_WORKFLOW
+
 description: Guide for using meta-development script (scripts/dev.js) to manage task-driven development workflows
-globs: **/*
-filesToApplyRule: **/*
+globs: **/\*
+filesToApplyRule: **/\*
 alwaysApply: true
+
 ---
 
 - **Global CLI Commands**
+
   - Task Master now provides a global CLI through the `task-master` command
   - All functionality from `scripts/dev.js` is available through this interface
   - Install globally with `npm install -g claude-task-master` or use locally via `npx`
@@ -25,6 +29,7 @@ alwaysApply: true
   - The CLI provides additional commands like `task-master init` for project setup
 
 - **Development Workflow Process**
+
   - Start new projects by running `task-master init` or `node scripts/dev.js parse-prd --input=<prd-file.txt>` to generate initial tasks.json
   - Begin coding sessions with `task-master list` to see current tasks, status, and IDs
   - Analyze task complexity with `task-master analyze-complexity --research` before breaking down tasks
@@ -43,6 +48,7 @@ alwaysApply: true
   - Report progress regularly using the list command
 
 - **Task Complexity Analysis**
+
   - Run `node scripts/dev.js analyze-complexity --research` for comprehensive analysis
   - Review complexity report in scripts/task-complexity-report.json
   - Or use `node scripts/dev.js complexity-report` for a formatted, readable version of the report
@@ -51,6 +57,7 @@ alwaysApply: true
   - Note that reports are automatically used by the expand command
 
 - **Task Breakdown Process**
+
   - For tasks with complexity analysis, use `node scripts/dev.js expand --id=<id>`
   - Otherwise use `node scripts/dev.js expand --id=<id> --subtasks=<number>`
   - Add `--research` flag to leverage Perplexity AI for research-backed expansion
@@ -60,18 +67,21 @@ alwaysApply: true
   - If subtasks need regeneration, clear them first with `clear-subtasks` command
 
 - **Implementation Drift Handling**
+
   - When implementation differs significantly from planned approach
   - When future tasks need modification due to current implementation choices
   - When new dependencies or requirements emerge
   - Call `node scripts/dev.js update --from=<futureTaskId> --prompt="<explanation>"` to update tasks.json
 
 - **Task Status Management**
+
   - Use 'pending' for tasks ready to be worked on
   - Use 'done' for completed and verified tasks
   - Use 'deferred' for postponed tasks
   - Add custom status values as needed for project-specific workflows
 
 - **Task File Format Reference**
+
   ```
   # Task ID: <id>
   # Title: <title>
@@ -81,21 +91,23 @@ alwaysApply: true
   # Description: <brief description>
   # Details:
   <detailed implementation notes>
-  
+
   # Test Strategy:
   <verification approach>
   ```
 
 - **Command Reference: parse-prd**
+
   - Legacy Syntax: `node scripts/dev.js parse-prd --input=<prd-file.txt>`
   - CLI Syntax: `task-master parse-prd --input=<prd-file.txt>`
   - Description: Parses a PRD document and generates a tasks.json file with structured tasks
-  - Parameters: 
+  - Parameters:
     - `--input=<file>`: Path to the PRD text file (default: sample-prd.txt)
   - Example: `task-master parse-prd --input=requirements.txt`
   - Notes: Will overwrite existing tasks.json file. Use with caution.
 
 - **Command Reference: update**
+
   - Legacy Syntax: `node scripts/dev.js update --from=<id> --prompt="<prompt>"`
   - CLI Syntax: `task-master update --from=<id> --prompt="<prompt>"`
   - Description: Updates tasks with ID >= specified ID based on the provided prompt
@@ -106,16 +118,18 @@ alwaysApply: true
   - Notes: Only updates tasks not marked as 'done'. Completed tasks remain unchanged.
 
 - **Command Reference: generate**
+
   - Legacy Syntax: `node scripts/dev.js generate`
   - CLI Syntax: `task-master generate`
-  - Description: Generates individual task files in tasks/ directory based on tasks.json
-  - Parameters: 
-    - `--file=<path>, -f`: Use alternative tasks.json file (default: 'tasks/tasks.json')
-    - `--output=<dir>, -o`: Output directory (default: 'tasks')
+  - Description: Generates individual task files based on tasks.json
+  - Parameters:
+    - `--file=<path>, -f`: Use alternative tasks.json file (default: '.taskmaster/tasks/tasks.json')
+    - `--output=<dir>, -o`: Output directory (default: '.taskmaster/tasks')
   - Example: `task-master generate`
-  - Notes: Overwrites existing task files. Creates tasks/ directory if needed.
+  - Notes: Overwrites existing task files. Creates output directory if needed.
 
 - **Command Reference: set-status**
+
   - Legacy Syntax: `node scripts/dev.js set-status --id=<id> --status=<status>`
   - CLI Syntax: `task-master set-status --id=<id> --status=<status>`
   - Description: Updates the status of a specific task in tasks.json
@@ -126,10 +140,11 @@ alwaysApply: true
   - Notes: Common values are 'done', 'pending', and 'deferred', but any string is accepted.
 
 - **Command Reference: list**
+
   - Legacy Syntax: `node scripts/dev.js list`
   - CLI Syntax: `task-master list`
   - Description: Lists all tasks in tasks.json with IDs, titles, and status
-  - Parameters: 
+  - Parameters:
     - `--status=<status>, -s`: Filter by status
     - `--with-subtasks`: Show subtasks for each task
     - `--file=<path>, -f`: Use alternative tasks.json file (default: 'tasks/tasks.json')
@@ -137,6 +152,7 @@ alwaysApply: true
   - Notes: Provides quick overview of project progress. Use at start of sessions.
 
 - **Command Reference: expand**
+
   - Legacy Syntax: `node scripts/dev.js expand --id=<id> [--num=<number>] [--research] [--prompt="<context>"]`
   - CLI Syntax: `task-master expand --id=<id> [--num=<number>] [--research] [--prompt="<context>"]`
   - Description: Expands a task with subtasks for detailed implementation
@@ -151,6 +167,7 @@ alwaysApply: true
   - Notes: Uses complexity report recommendations if available.
 
 - **Command Reference: analyze-complexity**
+
   - Legacy Syntax: `node scripts/dev.js analyze-complexity [options]`
   - CLI Syntax: `task-master analyze-complexity [options]`
   - Description: Analyzes task complexity and generates expansion recommendations
@@ -164,6 +181,7 @@ alwaysApply: true
   - Notes: Report includes complexity scores, recommended subtasks, and tailored prompts.
 
 - **Command Reference: clear-subtasks**
+
   - Legacy Syntax: `node scripts/dev.js clear-subtasks --id=<id>`
   - CLI Syntax: `task-master clear-subtasks --id=<id>`
   - Description: Removes subtasks from specified tasks to allow regeneration
@@ -174,12 +192,13 @@ alwaysApply: true
     - `task-master clear-subtasks --id=3`
     - `task-master clear-subtasks --id=1,2,3`
     - `task-master clear-subtasks --all`
-  - Notes: 
+  - Notes:
     - Task files are automatically regenerated after clearing subtasks
     - Can be combined with expand command to immediately generate new subtasks
     - Works with both parent tasks and individual subtasks
 
 - **Task Structure Fields**
+
   - **id**: Unique identifier for the task (Example: `1`)
   - **title**: Brief, descriptive title (Example: `"Initialize Repo"`)
   - **description**: Concise summary of what the task involves (Example: `"Create a new repository, set up initial structure."`)
@@ -193,12 +212,13 @@ alwaysApply: true
   - **subtasks**: List of smaller, more specific tasks (Example: `[{"id": 1, "title": "Configure OAuth", ...}]`)
 
 - **Environment Variables Configuration**
+
   - **ANTHROPIC_API_KEY** (Required): Your Anthropic API key for Claude (Example: `ANTHROPIC_API_KEY=sk-ant-api03-...`)
   - **MODEL** (Default: `"claude-3-7-sonnet-20250219"`): Claude model to use (Example: `MODEL=claude-3-opus-20240229`)
   - **MAX_TOKENS** (Default: `"4000"`): Maximum tokens for responses (Example: `MAX_TOKENS=8000`)
   - **TEMPERATURE** (Default: `"0.7"`): Temperature for model responses (Example: `TEMPERATURE=0.5`)
   - **DEBUG** (Default: `"false"`): Enable debug logging (Example: `DEBUG=true`)
-  - **LOG_LEVEL** (Default: `"info"`): Console output level (Example: `LOG_LEVEL=debug`)
+  - **TASKMASTER_LOG_LEVEL** (Default: `"info"`): Console output level (Example: `TASKMASTER_LOG_LEVEL=debug`)
   - **DEFAULT_SUBTASKS** (Default: `"3"`): Default subtask count (Example: `DEFAULT_SUBTASKS=5`)
   - **DEFAULT_PRIORITY** (Default: `"medium"`): Default priority (Example: `DEFAULT_PRIORITY=high`)
   - **PROJECT_NAME** (Default: `"MCP SaaS MVP"`): Project name in metadata (Example: `PROJECT_NAME=My Awesome Project`)
@@ -207,6 +227,7 @@ alwaysApply: true
   - **PERPLEXITY_MODEL** (Default: `"sonar-medium-online"`): Perplexity model (Example: `PERPLEXITY_MODEL=sonar-large-online`)
 
 - **Determining the Next Task**
+
   - Run `task-master next` to show the next task to work on
   - The next command identifies tasks with all dependencies satisfied
   - Tasks are prioritized by priority level, dependency count, and ID
@@ -221,6 +242,7 @@ alwaysApply: true
   - Provides ready-to-use commands for common task actions
 
 - **Viewing Specific Task Details**
+
   - Run `task-master show <id>` or `task-master show --id=<id>` to view a specific task
   - Use dot notation for subtasks: `task-master show 1.2` (shows subtask 2 of task 1)
   - Displays comprehensive information similar to the next command, but for a specific task
@@ -230,6 +252,7 @@ alwaysApply: true
   - Useful for examining task details before implementation or checking status
 
 - **Managing Task Dependencies**
+
   - Use `task-master add-dependency --id=<id> --depends-on=<id>` to add a dependency
   - Use `task-master remove-dependency --id=<id> --depends-on=<id>` to remove a dependency
   - The system prevents circular dependencies and duplicate dependency entries
@@ -238,6 +261,7 @@ alwaysApply: true
   - Dependencies are visualized with status indicators in task listings and files
 
 - **Command Reference: add-dependency**
+
   - Legacy Syntax: `node scripts/dev.js add-dependency --id=<id> --depends-on=<id>`
   - CLI Syntax: `task-master add-dependency --id=<id> --depends-on=<id>`
   - Description: Adds a dependency relationship between two tasks
@@ -248,6 +272,7 @@ alwaysApply: true
   - Notes: Prevents circular dependencies and duplicates; updates task files automatically
 
 - **Command Reference: remove-dependency**
+
   - Legacy Syntax: `node scripts/dev.js remove-dependency --id=<id> --depends-on=<id>`
   - CLI Syntax: `task-master remove-dependency --id=<id> --depends-on=<id>`
   - Description: Removes a dependency relationship between two tasks
@@ -258,44 +283,48 @@ alwaysApply: true
   - Notes: Checks if dependency actually exists; updates task files automatically
 
 - **Command Reference: validate-dependencies**
+
   - Legacy Syntax: `node scripts/dev.js validate-dependencies [options]`
   - CLI Syntax: `task-master validate-dependencies [options]`
   - Description: Checks for and identifies invalid dependencies in tasks.json and task files
   - Parameters:
     - `--file=<path>, -f`: Use alternative tasks.json file (default: 'tasks/tasks.json')
   - Example: `task-master validate-dependencies`
-  - Notes: 
+  - Notes:
     - Reports all non-existent dependencies and self-dependencies without modifying files
     - Provides detailed statistics on task dependency state
     - Use before fix-dependencies to audit your task structure
 
 - **Command Reference: fix-dependencies**
+
   - Legacy Syntax: `node scripts/dev.js fix-dependencies [options]`
   - CLI Syntax: `task-master fix-dependencies [options]`
   - Description: Finds and fixes all invalid dependencies in tasks.json and task files
   - Parameters:
     - `--file=<path>, -f`: Use alternative tasks.json file (default: 'tasks/tasks.json')
   - Example: `task-master fix-dependencies`
-  - Notes: 
+  - Notes:
     - Removes references to non-existent tasks and subtasks
     - Eliminates self-dependencies (tasks depending on themselves)
     - Regenerates task files with corrected dependencies
     - Provides detailed report of all fixes made
 
 - **Command Reference: complexity-report**
+
   - Legacy Syntax: `node scripts/dev.js complexity-report [options]`
   - CLI Syntax: `task-master complexity-report [options]`
   - Description: Displays the task complexity analysis report in a formatted, easy-to-read way
   - Parameters:
     - `--file=<path>, -f`: Path to the complexity report file (default: 'scripts/task-complexity-report.json')
   - Example: `task-master complexity-report`
-  - Notes: 
+  - Notes:
     - Shows tasks organized by complexity score with recommended actions
     - Provides complexity distribution statistics
     - Displays ready-to-use expansion commands for complex tasks
     - If no report exists, offers to generate one interactively
 
 - **Command Reference: add-task**
+
   - CLI Syntax: `task-master add-task [options]`
   - Description: Add a new task to tasks.json using AI
   - Parameters:
@@ -307,11 +336,12 @@ alwaysApply: true
   - Notes: Uses AI to convert description into structured task with appropriate details
 
 - **Command Reference: init**
+
   - CLI Syntax: `task-master init`
   - Description: Initialize a new project with Task Master structure
   - Parameters: None
   - Example: `task-master init`
-  - Notes: 
+  - Notes:
     - Creates initial project structure with required files
     - Prompts for project settings if not provided
     - Merges with existing files when appropriate
@@ -341,15 +371,20 @@ alwaysApply: true
       - Check for any unintentional duplications or omissions
 
 ---
-WINDSURF_RULES
----
+
+## WINDSURF_RULES
+
 description: Guidelines for creating and maintaining Windsurf rules to ensure consistency and effectiveness.
 globs: .windsurfrules
 filesToApplyRule: .windsurfrules
 alwaysApply: true
+
 ---
+
 The below describes how you should be structuring new rule sections in this document.
+
 - **Required Rule Structure:**
+
   ```markdown
   ---
   description: Clear, one-line description of what the rule enforces
@@ -363,20 +398,24 @@ The below describes how you should be structuring new rule sections in this docu
   ```
 
 - **Section References:**
+
   - Use `ALL_CAPS_SECTION` to reference files
   - Example: `WINDSURF_RULES`
 
 - **Code Examples:**
+
   - Use language-specific code blocks
+
   ```typescript
   // ✅ DO: Show good examples
   const goodExample = true;
-  
+
   // ❌ DON'T: Show anti-patterns
   const badExample = false;
   ```
 
 - **Rule Content Guidelines:**
+
   - Start with high-level overview
   - Include specific, actionable requirements
   - Show examples of correct implementation
@@ -384,6 +423,7 @@ The below describes how you should be structuring new rule sections in this docu
   - Keep rules DRY by referencing other rules
 
 - **Rule Maintenance:**
+
   - Update rules when new patterns emerge
   - Add examples from actual codebase
   - Remove outdated patterns
@@ -394,18 +434,21 @@ The below describes how you should be structuring new rule sections in this docu
   - Keep descriptions concise
   - Include both DO and DON'T examples
   - Reference actual code over theoretical examples
-  - Use consistent formatting across rules 
+  - Use consistent formatting across rules
 
 ---
-SELF_IMPROVE
----
+
+## SELF_IMPROVE
+
 description: Guidelines for continuously improving this rules document based on emerging code patterns and best practices.
-globs: **/*
-filesToApplyRule: **/*
+globs: **/\*
+filesToApplyRule: **/\*
 alwaysApply: true
+
 ---
 
 - **Rule Improvement Triggers:**
+
   - New code patterns not covered by existing rules
   - Repeated similar implementations across files
   - Common error patterns that could be prevented
@@ -413,6 +456,7 @@ alwaysApply: true
   - Emerging best practices in the codebase
 
 - **Analysis Process:**
+
   - Compare new code with existing rules
   - Identify patterns that should be standardized
   - Look for references to external documentation
@@ -420,7 +464,9 @@ alwaysApply: true
   - Monitor test patterns and coverage
 
 - **Rule Updates:**
+
   - **Add New Rules When:**
+
     - A new technology/pattern is used in 3+ files
     - Common bugs could be prevented by a rule
     - Code reviews repeatedly mention the same feedback
@@ -433,13 +479,14 @@ alwaysApply: true
     - Implementation details have changed
 
 - **Example Pattern Recognition:**
+
   ```typescript
   // If you see repeated patterns like:
   const data = await prisma.user.findMany({
     select: { id: true, email: true },
-    where: { status: 'ACTIVE' }
+    where: { status: "ACTIVE" },
   });
-  
+
   // Consider adding a PRISMA section in the .windsurfrules:
   // - Standard select fields
   // - Common where conditions
@@ -447,12 +494,14 @@ alwaysApply: true
   ```
 
 - **Rule Quality Checks:**
+
   - Rules should be actionable and specific
   - Examples should come from actual code
   - References should be up to date
   - Patterns should be consistently enforced
 
 - **Continuous Improvement:**
+
   - Monitor code review comments
   - Track common development questions
   - Update rules after major refactors
@@ -460,6 +509,7 @@ alwaysApply: true
   - Cross-reference related rules
 
 - **Rule Deprecation:**
+
   - Mark outdated patterns as deprecated
   - Remove rules that no longer apply
   - Update references to deprecated rules
@@ -471,4 +521,4 @@ alwaysApply: true
   - Maintain links between related rules
   - Document breaking changes
 
-Follow WINDSURF_RULES for proper rule formatting and structure of windsurf rule sections.
+Follow WINDSURF_RULES for proper rule formatting and structure of windsurf rule sections.

assets/AGENTS.md

@@ -0,0 +1,417 @@
+# Task Master AI - Claude Code Integration Guide
+
+## Essential Commands
+
+### Core Workflow Commands
+
+```bash
+# Project Setup
+task-master init                                    # Initialize Task Master in current project
+task-master parse-prd .taskmaster/docs/prd.txt      # Generate tasks from PRD document
+task-master models --setup                        # Configure AI models interactively
+
+# Daily Development Workflow
+task-master list                                   # Show all tasks with status
+task-master next                                   # Get next available task to work on
+task-master show <id>                             # View detailed task information (e.g., task-master show 1.2)
+task-master set-status --id=<id> --status=done    # Mark task complete
+
+# Task Management
+task-master add-task --prompt="description" --research        # Add new task with AI assistance
+task-master expand --id=<id> --research --force              # Break task into subtasks
+task-master update-task --id=<id> --prompt="changes"         # Update specific task
+task-master update --from=<id> --prompt="changes"            # Update multiple tasks from ID onwards
+task-master update-subtask --id=<id> --prompt="notes"        # Add implementation notes to subtask
+
+# Analysis & Planning
+task-master analyze-complexity --research          # Analyze task complexity
+task-master complexity-report                      # View complexity analysis
+task-master expand --all --research               # Expand all eligible tasks
+
+# Dependencies & Organization
+task-master add-dependency --id=<id> --depends-on=<id>       # Add task dependency
+task-master move --from=<id> --to=<id>                       # Reorganize task hierarchy
+task-master validate-dependencies                            # Check for dependency issues
+task-master generate                                         # Update task markdown files (usually auto-called)
+```
+
+## Key Files & Project Structure
+
+### Core Files
+
+- `.taskmaster/tasks/tasks.json` - Main task data file (auto-managed)
+- `.taskmaster/config.json` - AI model configuration (use `task-master models` to modify)
+- `.taskmaster/docs/prd.txt` - Product Requirements Document for parsing
+- `.taskmaster/tasks/*.txt` - Individual task files (auto-generated from tasks.json)
+- `.env` - API keys for CLI usage
+
+### Claude Code Integration Files
+
+- `CLAUDE.md` - Auto-loaded context for Claude Code (this file)
+- `.claude/settings.json` - Claude Code tool allowlist and preferences
+- `.claude/commands/` - Custom slash commands for repeated workflows
+- `.mcp.json` - MCP server configuration (project-specific)
+
+### Directory Structure
+
+```
+project/
+├── .taskmaster/
+│   ├── tasks/              # Task files directory
+│   │   ├── tasks.json      # Main task database
+│   │   ├── task-1.md      # Individual task files
+│   │   └── task-2.md
+│   ├── docs/              # Documentation directory
+│   │   ├── prd.txt        # Product requirements
+│   ├── reports/           # Analysis reports directory
+│   │   └── task-complexity-report.json
+│   ├── templates/         # Template files
+│   │   └── example_prd.txt  # Example PRD template
+│   └── config.json        # AI models & settings
+├── .claude/
+│   ├── settings.json      # Claude Code configuration
+│   └── commands/         # Custom slash commands
+├── .env                  # API keys
+├── .mcp.json            # MCP configuration
+└── CLAUDE.md            # This file - auto-loaded by Claude Code
+```
+
+## MCP Integration
+
+Task Master provides an MCP server that Claude Code can connect to. Configure in `.mcp.json`:
+
+```json
+{
+  "mcpServers": {
+    "task-master-ai": {
+      "command": "npx",
+      "args": ["-y", "--package=task-master-ai", "task-master-ai"],
+      "env": {
+        "ANTHROPIC_API_KEY": "your_key_here",
+        "PERPLEXITY_API_KEY": "your_key_here",
+        "OPENAI_API_KEY": "OPENAI_API_KEY_HERE",
+        "GOOGLE_API_KEY": "GOOGLE_API_KEY_HERE",
+        "XAI_API_KEY": "XAI_API_KEY_HERE",
+        "OPENROUTER_API_KEY": "OPENROUTER_API_KEY_HERE",
+        "MISTRAL_API_KEY": "MISTRAL_API_KEY_HERE",
+        "AZURE_OPENAI_API_KEY": "AZURE_OPENAI_API_KEY_HERE",
+        "OLLAMA_API_KEY": "OLLAMA_API_KEY_HERE"
+      }
+    }
+  }
+}
+```
+
+### Essential MCP Tools
+
+```javascript
+help; // = shows available taskmaster commands
+// Project setup
+initialize_project; // = task-master init
+parse_prd; // = task-master parse-prd
+
+// Daily workflow
+get_tasks; // = task-master list
+next_task; // = task-master next
+get_task; // = task-master show <id>
+set_task_status; // = task-master set-status
+
+// Task management
+add_task; // = task-master add-task
+expand_task; // = task-master expand
+update_task; // = task-master update-task
+update_subtask; // = task-master update-subtask
+update; // = task-master update
+
+// Analysis
+analyze_project_complexity; // = task-master analyze-complexity
+complexity_report; // = task-master complexity-report
+```
+
+## Claude Code Workflow Integration
+
+### Standard Development Workflow
+
+#### 1. Project Initialization
+
+```bash
+# Initialize Task Master
+task-master init
+
+# Create or obtain PRD, then parse it
+task-master parse-prd .taskmaster/docs/prd.txt
+
+# Analyze complexity and expand tasks
+task-master analyze-complexity --research
+task-master expand --all --research
+```
+
+If tasks already exist, another PRD can be parsed (with new information only!) using parse-prd with --append flag. This will add the generated tasks to the existing list of tasks..
+
+#### 2. Daily Development Loop
+
+```bash
+# Start each session
+task-master next                           # Find next available task
+task-master show <id>                     # Review task details
+
+# During implementation, check in code context into the tasks and subtasks
+task-master update-subtask --id=<id> --prompt="implementation notes..."
+
+# Complete tasks
+task-master set-status --id=<id> --status=done
+```
+
+#### 3. Multi-Claude Workflows
+
+For complex projects, use multiple Claude Code sessions:
+
+```bash
+# Terminal 1: Main implementation
+cd project && claude
+
+# Terminal 2: Testing and validation
+cd project-test-worktree && claude
+
+# Terminal 3: Documentation updates
+cd project-docs-worktree && claude
+```
+
+### Custom Slash Commands
+
+Create `.claude/commands/taskmaster-next.md`:
+
+```markdown
+Find the next available Task Master task and show its details.
+
+Steps:
+
+1. Run `task-master next` to get the next task
+2. If a task is available, run `task-master show <id>` for full details
+3. Provide a summary of what needs to be implemented
+4. Suggest the first implementation step
+```
+
+Create `.claude/commands/taskmaster-complete.md`:
+
+```markdown
+Complete a Task Master task: $ARGUMENTS
+
+Steps:
+
+1. Review the current task with `task-master show $ARGUMENTS`
+2. Verify all implementation is complete
+3. Run any tests related to this task
+4. Mark as complete: `task-master set-status --id=$ARGUMENTS --status=done`
+5. Show the next available task with `task-master next`
+```
+
+## Tool Allowlist Recommendations
+
+Add to `.claude/settings.json`:
+
+```json
+{
+  "allowedTools": [
+    "Edit",
+    "Bash(task-master *)",
+    "Bash(git commit:*)",
+    "Bash(git add:*)",
+    "Bash(npm run *)",
+    "mcp__task_master_ai__*"
+  ]
+}
+```
+
+## Configuration & Setup
+
+### API Keys Required
+
+At least **one** of these API keys must be configured:
+
+- `ANTHROPIC_API_KEY` (Claude models) - **Recommended**
+- `PERPLEXITY_API_KEY` (Research features) - **Highly recommended**
+- `OPENAI_API_KEY` (GPT models)
+- `GOOGLE_API_KEY` (Gemini models)
+- `MISTRAL_API_KEY` (Mistral models)
+- `OPENROUTER_API_KEY` (Multiple models)
+- `XAI_API_KEY` (Grok models)
+
+An API key is required for any provider used across any of the 3 roles defined in the `models` command.
+
+### Model Configuration
+
+```bash
+# Interactive setup (recommended)
+task-master models --setup
+
+# Set specific models
+task-master models --set-main claude-3-5-sonnet-20241022
+task-master models --set-research perplexity-llama-3.1-sonar-large-128k-online
+task-master models --set-fallback gpt-4o-mini
+```
+
+## Task Structure & IDs
+
+### Task ID Format
+
+- Main tasks: `1`, `2`, `3`, etc.
+- Subtasks: `1.1`, `1.2`, `2.1`, etc.
+- Sub-subtasks: `1.1.1`, `1.1.2`, etc.
+
+### Task Status Values
+
+- `pending` - Ready to work on
+- `in-progress` - Currently being worked on
+- `done` - Completed and verified
+- `deferred` - Postponed
+- `cancelled` - No longer needed
+- `blocked` - Waiting on external factors
+
+### Task Fields
+
+```json
+{
+  "id": "1.2",
+  "title": "Implement user authentication",
+  "description": "Set up JWT-based auth system",
+  "status": "pending",
+  "priority": "high",
+  "dependencies": ["1.1"],
+  "details": "Use bcrypt for hashing, JWT for tokens...",
+  "testStrategy": "Unit tests for auth functions, integration tests for login flow",
+  "subtasks": []
+}
+```
+
+## Claude Code Best Practices with Task Master
+
+### Context Management
+
+- Use `/clear` between different tasks to maintain focus
+- This CLAUDE.md file is automatically loaded for context
+- Use `task-master show <id>` to pull specific task context when needed
+
+### Iterative Implementation
+
+1. `task-master show <subtask-id>` - Understand requirements
+2. Explore codebase and plan implementation
+3. `task-master update-subtask --id=<id> --prompt="detailed plan"` - Log plan
+4. `task-master set-status --id=<id> --status=in-progress` - Start work
+5. Implement code following logged plan
+6. `task-master update-subtask --id=<id> --prompt="what worked/didn't work"` - Log progress
+7. `task-master set-status --id=<id> --status=done` - Complete task
+
+### Complex Workflows with Checklists
+
+For large migrations or multi-step processes:
+
+1. Create a markdown PRD file describing the new changes: `touch task-migration-checklist.md` (prds can be .txt or .md)
+2. Use Taskmaster to parse the new prd with `task-master parse-prd --append` (also available in MCP)
+3. Use Taskmaster to expand the newly generated tasks into subtasks. Consdier using `analyze-complexity` with the correct --to and --from IDs (the new ids) to identify the ideal subtask amounts for each task. Then expand them.
+4. Work through items systematically, checking them off as completed
+5. Use `task-master update-subtask` to log progress on each task/subtask and/or updating/researching them before/during implementation if getting stuck
+
+### Git Integration
+
+Task Master works well with `gh` CLI:
+
+```bash
+# Create PR for completed task
+gh pr create --title "Complete task 1.2: User authentication" --body "Implements JWT auth system as specified in task 1.2"
+
+# Reference task in commits
+git commit -m "feat: implement JWT auth (task 1.2)"
+```
+
+### Parallel Development with Git Worktrees
+
+```bash
+# Create worktrees for parallel task development
+git worktree add ../project-auth feature/auth-system
+git worktree add ../project-api feature/api-refactor
+
+# Run Claude Code in each worktree
+cd ../project-auth && claude    # Terminal 1: Auth work
+cd ../project-api && claude     # Terminal 2: API work
+```
+
+## Troubleshooting
+
+### AI Commands Failing
+
+```bash
+# Check API keys are configured
+cat .env                           # For CLI usage
+
+# Verify model configuration
+task-master models
+
+# Test with different model
+task-master models --set-fallback gpt-4o-mini
+```
+
+### MCP Connection Issues
+
+- Check `.mcp.json` configuration
+- Verify Node.js installation
+- Use `--mcp-debug` flag when starting Claude Code
+- Use CLI as fallback if MCP unavailable
+
+### Task File Sync Issues
+
+```bash
+# Regenerate task files from tasks.json
+task-master generate
+
+# Fix dependency issues
+task-master fix-dependencies
+```
+
+DO NOT RE-INITIALIZE. That will not do anything beyond re-adding the same Taskmaster core files.
+
+## Important Notes
+
+### AI-Powered Operations
+
+These commands make AI calls and may take up to a minute:
+
+- `parse_prd` / `task-master parse-prd`
+- `analyze_project_complexity` / `task-master analyze-complexity`
+- `expand_task` / `task-master expand`
+- `expand_all` / `task-master expand --all`
+- `add_task` / `task-master add-task`
+- `update` / `task-master update`
+- `update_task` / `task-master update-task`
+- `update_subtask` / `task-master update-subtask`
+
+### File Management
+
+- Never manually edit `tasks.json` - use commands instead
+- Never manually edit `.taskmaster/config.json` - use `task-master models`
+- Task markdown files in `tasks/` are auto-generated
+- Run `task-master generate` after manual changes to tasks.json
+
+### Claude Code Session Management
+
+- Use `/clear` frequently to maintain focused context
+- Create custom slash commands for repeated Task Master workflows
+- Configure tool allowlist to streamline permissions
+- Use headless mode for automation: `claude -p "task-master next"`
+
+### Multi-Task Updates
+
+- Use `update --from=<id>` to update multiple future tasks
+- Use `update-task --id=<id>` for single task updates
+- Use `update-subtask --id=<id>` for implementation logging
+
+### Research Mode
+
+- Add `--research` flag for research-based AI enhancement
+- Requires a research model API key like Perplexity (`PERPLEXITY_API_KEY`) in environment
+- Provides more informed task creation and updates
+- Recommended for complex technical tasks
+
+---
+
+_This guide ensures Claude Code has immediate access to Task Master's essential functionality for agentic development workflows._

assets/config.json

@@ -0,0 +1,33 @@
+{
+	"models": {
+		"main": {
+			"provider": "anthropic",
+			"modelId": "claude-3-7-sonnet-20250219",
+			"maxTokens": 120000,
+			"temperature": 0.2
+		},
+		"research": {
+			"provider": "perplexity",
+			"modelId": "sonar-pro",
+			"maxTokens": 8700,
+			"temperature": 0.1
+		},
+		"fallback": {
+			"provider": "anthropic",
+			"modelId": "claude-3-5-sonnet-20240620",
+			"maxTokens": 8192,
+			"temperature": 0.1
+		}
+	},
+	"global": {
+		"logLevel": "info",
+		"debug": false,
+		"defaultSubtasks": 5,
+		"defaultPriority": "medium",
+		"projectName": "Taskmaster",
+		"defaultTag": "master",
+		"ollamaBaseURL": "http://localhost:11434/api",
+		"azureOpenaiBaseURL": "https://your-endpoint.openai.azure.com/",
+		"bedrockBaseURL": "https://bedrock.us-east-1.amazonaws.com"
+	}
+}

assets/env.example

@@ -1,14 +1,10 @@
-# Required
-ANTHROPIC_API_KEY=your-api-key-here  # For most AI ops -- Format: sk-ant-api03-... (Required)
-PERPLEXITY_API_KEY=pplx-abcde        # For research -- Format: pplx-abcde (Optional, Highly Recommended)
-
-# Optional - defaults shown
-MODEL=claude-3-7-sonnet-20250219  # Recommended models: claude-3-7-sonnet-20250219, claude-3-opus-20240229 (Required)
-PERPLEXITY_MODEL=sonar-pro        # Make sure you have access to sonar-pro otherwise you can use sonar regular (Optional)
-MAX_TOKENS=64000                   # Maximum tokens for model responses (Required)
-TEMPERATURE=0.2                   # Temperature for model responses (0.0-1.0) - lower = less creativity and follow your prompt closely (Required)
-DEBUG=false                       # Enable debug logging (true/false)
-LOG_LEVEL=info                    # Log level (debug, info, warn, error)
-DEFAULT_SUBTASKS=5                # Default number of subtasks when expanding
-DEFAULT_PRIORITY=medium           # Default priority for generated tasks (high, medium, low)
-PROJECT_NAME={{projectName}}      # Project name for tasks.json metadata
+# API Keys (Required to enable respective provider)
+ANTHROPIC_API_KEY="your_anthropic_api_key_here"       # Required: Format: sk-ant-api03-...
+PERPLEXITY_API_KEY="your_perplexity_api_key_here"     # Optional: Format: pplx-...
+OPENAI_API_KEY="your_openai_api_key_here"             # Optional, for OpenAI/OpenRouter models. Format: sk-proj-...
+GOOGLE_API_KEY="your_google_api_key_here"             # Optional, for Google Gemini models.
+MISTRAL_API_KEY="your_mistral_key_here"               # Optional, for Mistral AI models.
+XAI_API_KEY="YOUR_XAI_KEY_HERE"                       # Optional, for xAI AI models.
+AZURE_OPENAI_API_KEY="your_azure_key_here"            # Optional, for Azure OpenAI models (requires endpoint in .taskmaster/config.json).
+OLLAMA_API_KEY="your_ollama_api_key_here"             # Optional: For remote Ollama servers that require authentication.
+GITHUB_API_KEY="your_github_api_key_here"             # Optional: For GitHub import/export features. Format: ghp_... or github_pat_...

assets/gitignore

@@ -22,8 +22,4 @@ node_modules/
 *.sw?
 
 # OS specific
-.DS_Store
-
-# Task files
-tasks.json
-tasks/ 
+.DS_Store

assets/roocode/.roo/rules-architect/architect-rules

@@ -0,0 +1,93 @@
+**Core Directives & Agentivity:**
+# 1. Adhere strictly to the rules defined below.
+# 2. Use tools sequentially, one per message. Adhere strictly to the rules defined below.
+# 3. CRITICAL: ALWAYS wait for user confirmation of success after EACH tool use before proceeding. Do not assume success.
+# 4. Operate iteratively: Analyze task -> Plan steps -> Execute steps one by one.
+# 5. Use <thinking> tags for *internal* analysis before tool use (context, tool choice, required params).
+# 6. **DO NOT DISPLAY XML TOOL TAGS IN THE OUTPUT.**
+# 7. **DO NOT DISPLAY YOUR THINKING IN THE OUTPUT.**
+
+**Architectural Design & Planning Role (Delegated Tasks):**
+
+Your primary role when activated via `new_task` by the Boomerang orchestrator is to perform specific architectural, design, or planning tasks, focusing on the instructions provided in the delegation message and referencing the relevant `taskmaster-ai` task ID.
+
+1.  **Analyze Delegated Task:** Carefully examine the `message` provided by Boomerang. This message contains the specific task scope, context (including the `taskmaster-ai` task ID), and constraints.
+2.  **Information Gathering (As Needed):** Use analysis tools to fulfill the task:
+    *   `list_files`: Understand project structure.
+    *   `read_file`: Examine specific code, configuration, or documentation files relevant to the architectural task.
+    *   `list_code_definition_names`: Analyze code structure and relationships.
+    *   `use_mcp_tool` (taskmaster-ai): Use `get_task` or `analyze_project_complexity` *only if explicitly instructed* by Boomerang in the delegation message to gather further context beyond what was provided.
+3.  **Task Execution (Design & Planning):** Focus *exclusively* on the delegated architectural task, which may involve:
+    *   Designing system architecture, component interactions, or data models.
+    *   Planning implementation steps or identifying necessary subtasks (to be reported back).
+    *   Analyzing technical feasibility, complexity, or potential risks.
+    *   Defining interfaces, APIs, or data contracts.
+    *   Reviewing existing code/architecture against requirements or best practices.
+4.  **Reporting Completion:** Signal completion using `attempt_completion`. Provide a concise yet thorough summary of the outcome in the `result` parameter. This summary is **crucial** for Boomerang to update `taskmaster-ai`. Include:
+    *   Summary of design decisions, plans created, analysis performed, or subtasks identified.
+    *   Any relevant artifacts produced (e.g., diagrams described, markdown files written - if applicable and instructed).
+    *   Completion status (success, failure, needs review).
+    *   Any significant findings, potential issues, or context gathered relevant to the next steps.
+5.  **Handling Issues:**
+    *   **Complexity/Review:** If you encounter significant complexity, uncertainty, or issues requiring further review (e.g., needing testing input, deeper debugging analysis), set the status to 'review' within your `attempt_completion` result and clearly state the reason. **Do not delegate directly.** Report back to Boomerang.
+    *   **Failure:** If the task fails (e.g., requirements are contradictory, necessary information unavailable), clearly report the failure and the reason in the `attempt_completion` result.
+6.  **Taskmaster Interaction:**
+    *   **Primary Responsibility:** Boomerang is primarily responsible for updating Taskmaster (`set_task_status`, `update_task`, `update_subtask`) after receiving your `attempt_completion` result.
+    *   **Direct Updates (Rare):** Only update Taskmaster directly if operating autonomously (not under Boomerang's delegation) or if *explicitly* instructed by Boomerang within the `new_task` message.
+7.  **Autonomous Operation (Exceptional):** If operating outside of Boomerang's delegation (e.g., direct user request), ensure Taskmaster is initialized before attempting Taskmaster operations (see Taskmaster-AI Strategy below).
+
+**Context Reporting Strategy:**
+
+context_reporting: |
+      <thinking>
+      Strategy:
+      - Focus on providing comprehensive information within the `attempt_completion` `result` parameter.
+      - Boomerang will use this information to update Taskmaster's `description`, `details`, or log via `update_task`/`update_subtask`.
+      - My role is to *report* accurately, not *log* directly to Taskmaster unless explicitly instructed or operating autonomously.
+      </thinking>
+      - **Goal:** Ensure the `result` parameter in `attempt_completion` contains all necessary information for Boomerang to understand the outcome and update Taskmaster effectively.
+      - **Content:** Include summaries of architectural decisions, plans, analysis, identified subtasks, errors encountered, or new context discovered. Structure the `result` clearly.
+      - **Trigger:** Always provide a detailed `result` upon using `attempt_completion`.
+      - **Mechanism:** Boomerang receives the `result` and performs the necessary Taskmaster updates.
+
+**Taskmaster-AI Strategy (for Autonomous Operation):**
+
+# Only relevant if operating autonomously (not delegated by Boomerang).
+taskmaster_strategy:
+  status_prefix: "Begin autonomous responses with either '[TASKMASTER: ON]' or '[TASKMASTER: OFF]'."
+  initialization: |
+      <thinking>
+      - **CHECK FOR TASKMASTER (Autonomous Only):**
+      - Plan: If I need to use Taskmaster tools autonomously, first use `list_files` to check if `tasks/tasks.json` exists.
+      - If `tasks/tasks.json` is present = set TASKMASTER: ON, else TASKMASTER: OFF.
+      </thinking>
+      *Execute the plan described above only if autonomous Taskmaster interaction is required.*
+  if_uninitialized: |
+      1. **Inform:** "Task Master is not initialized. Autonomous Taskmaster operations cannot proceed."
+      2. **Suggest:** "Consider switching to Boomerang mode to initialize and manage the project workflow."
+  if_ready: |
+      1. **Verify & Load:** Optionally fetch tasks using `taskmaster-ai`'s `get_tasks` tool if needed for autonomous context.
+      2. **Set Status:** Set status to '[TASKMASTER: ON]'.
+      3. **Proceed:** Proceed with autonomous Taskmaster operations.
+
+**Mode Collaboration & Triggers (Architect Perspective):**
+
+mode_collaboration: |
+    # Architect Mode Collaboration (Focus on receiving from Boomerang and reporting back)
+    - Delegated Task Reception (FROM Boomerang via `new_task`):
+      * Receive specific architectural/planning task instructions referencing a `taskmaster-ai` ID.
+      * Analyze requirements, scope, and constraints provided by Boomerang.
+    - Completion Reporting (TO Boomerang via `attempt_completion`):
+      * Report design decisions, plans, analysis results, or identified subtasks in the `result`.
+      * Include completion status (success, failure, review) and context for Boomerang.
+      * Signal completion of the *specific delegated architectural task*.
+
+mode_triggers:
+  # Conditions that might trigger a switch TO Architect mode (typically orchestrated BY Boomerang based on needs identified by other modes or the user)
+  architect:
+    - condition: needs_architectural_design # e.g., New feature requires system design
+    - condition: needs_refactoring_plan # e.g., Code mode identifies complex refactoring needed
+    - condition: needs_complexity_analysis # e.g., Before breaking down a large feature
+    - condition: design_clarification_needed # e.g., Implementation details unclear
+    - condition: pattern_violation_found # e.g., Code deviates significantly from established patterns
+    - condition: review_architectural_decision # e.g., Boomerang requests review based on 'review' status from another mode

assets/roocode/.roo/rules-ask/ask-rules

@@ -0,0 +1,89 @@
+**Core Directives & Agentivity:**
+# 1. Adhere strictly to the rules defined below.
+# 2. Use tools sequentially, one per message. Adhere strictly to the rules defined below.
+# 3. CRITICAL: ALWAYS wait for user confirmation of success after EACH tool use before proceeding. Do not assume success.
+# 4. Operate iteratively: Analyze task -> Plan steps -> Execute steps one by one.
+# 5. Use <thinking> tags for *internal* analysis before tool use (context, tool choice, required params).
+# 6. **DO NOT DISPLAY XML TOOL TAGS IN THE OUTPUT.**
+# 7. **DO NOT DISPLAY YOUR THINKING IN THE OUTPUT.**
+
+**Information Retrieval & Explanation Role (Delegated Tasks):**
+
+Your primary role when activated via `new_task` by the Boomerang (orchestrator) mode is to act as a specialized technical assistant. Focus *exclusively* on fulfilling the specific instructions provided in the `new_task` message, referencing the relevant `taskmaster-ai` task ID.
+
+1.  **Understand the Request:** Carefully analyze the `message` provided in the `new_task` delegation. This message will contain the specific question, information request, or analysis needed, referencing the `taskmaster-ai` task ID for context.
+2.  **Information Gathering:** Utilize appropriate tools to gather the necessary information based *only* on the delegation instructions:
+    *   `read_file`: To examine specific file contents.
+    *   `search_files`: To find patterns or specific text across the project.
+    *   `list_code_definition_names`: To understand code structure in relevant directories.
+    *   `use_mcp_tool` (with `taskmaster-ai`): *Only if explicitly instructed* by the Boomerang delegation message to retrieve specific task details (e.g., using `get_task`).
+3.  **Formulate Response:** Synthesize the gathered information into a clear, concise, and accurate answer or explanation addressing the specific request from the delegation message.
+4.  **Reporting Completion:** Signal completion using `attempt_completion`. Provide a concise yet thorough summary of the outcome in the `result` parameter. This summary is **crucial** for Boomerang to process and potentially update `taskmaster-ai`. Include:
+    *   The complete answer, explanation, or analysis formulated in the previous step.
+    *   Completion status (success, failure - e.g., if information could not be found).
+    *   Any significant findings or context gathered relevant to the question.
+    *   Cited sources (e.g., file paths, specific task IDs if used) where appropriate.
+5.  **Strict Scope:** Execute *only* the delegated information-gathering/explanation task. Do not perform code changes, execute unrelated commands, switch modes, or attempt to manage the overall workflow. Your responsibility ends with reporting the answer via `attempt_completion`.
+
+**Context Reporting Strategy:**
+
+context_reporting: |
+      <thinking>
+      Strategy:
+      - Focus on providing comprehensive information (the answer/analysis) within the `attempt_completion` `result` parameter.
+      - Boomerang will use this information to potentially update Taskmaster's `description`, `details`, or log via `update_task`/`update_subtask`.
+      - My role is to *report* accurately, not *log* directly to Taskmaster.
+      </thinking>
+      - **Goal:** Ensure the `result` parameter in `attempt_completion` contains the complete and accurate answer/analysis requested by Boomerang.
+      - **Content:** Include the full answer, explanation, or analysis results. Cite sources if applicable. Structure the `result` clearly.
+      - **Trigger:** Always provide a detailed `result` upon using `attempt_completion`.
+      - **Mechanism:** Boomerang receives the `result` and performs any necessary Taskmaster updates or decides the next workflow step.
+
+**Taskmaster Interaction:**
+
+*   **Primary Responsibility:** Boomerang is primarily responsible for updating Taskmaster (`set_task_status`, `update_task`, `update_subtask`) after receiving your `attempt_completion` result.
+*   **Direct Use (Rare & Specific):** Only use Taskmaster tools (`use_mcp_tool` with `taskmaster-ai`) if *explicitly instructed* by Boomerang within the `new_task` message, and *only* for retrieving information (e.g., `get_task`). Do not update Taskmaster status or content directly.
+
+**Taskmaster-AI Strategy (for Autonomous Operation):**
+
+# Only relevant if operating autonomously (not delegated by Boomerang), which is highly exceptional for Ask mode.
+taskmaster_strategy:
+  status_prefix: "Begin autonomous responses with either '[TASKMASTER: ON]' or '[TASKMASTER: OFF]'."
+  initialization: |
+      <thinking>
+      - **CHECK FOR TASKMASTER (Autonomous Only):**
+      - Plan: If I need to use Taskmaster tools autonomously (extremely rare), first use `list_files` to check if `tasks/tasks.json` exists.
+      - If `tasks/tasks.json` is present = set TASKMASTER: ON, else TASKMASTER: OFF.
+      </thinking>
+      *Execute the plan described above only if autonomous Taskmaster interaction is required.*
+  if_uninitialized: |
+      1. **Inform:** "Task Master is not initialized. Autonomous Taskmaster operations cannot proceed."
+      2. **Suggest:** "Consider switching to Boomerang mode to initialize and manage the project workflow."
+  if_ready: |
+      1. **Verify & Load:** Optionally fetch tasks using `taskmaster-ai`'s `get_tasks` tool if needed for autonomous context (again, very rare for Ask).
+      2. **Set Status:** Set status to '[TASKMASTER: ON]'.
+      3. **Proceed:** Proceed with autonomous operations (likely just answering a direct question without workflow context).
+
+**Mode Collaboration & Triggers:**
+
+mode_collaboration: |
+    # Ask Mode Collaboration: Focuses on receiving tasks from Boomerang and reporting back findings.
+    - Delegated Task Reception (FROM Boomerang via `new_task`):
+      * Understand question/analysis request from Boomerang (referencing taskmaster-ai task ID).
+      * Research information or analyze provided context using appropriate tools (`read_file`, `search_files`, etc.) as instructed.
+      * Formulate answers/explanations strictly within the subtask scope.
+      * Use `taskmaster-ai` tools *only* if explicitly instructed in the delegation message for information retrieval.
+    - Completion Reporting (TO Boomerang via `attempt_completion`):
+      * Provide the complete answer, explanation, or analysis results in the `result` parameter.
+      * Report completion status (success/failure) of the information-gathering subtask.
+      * Cite sources or relevant context found.
+
+mode_triggers:
+  # Ask mode does not typically trigger switches TO other modes.
+  # It receives tasks via `new_task` and reports completion via `attempt_completion`.
+  # Triggers defining when OTHER modes might switch TO Ask remain relevant for the overall system,
+  # but Ask mode itself does not initiate these switches.
+  ask:
+    - condition: documentation_needed
+    - condition: implementation_explanation
+    - condition: pattern_documentation

assets/roocode/.roo/rules-boomerang/boomerang-rules

@@ -0,0 +1,181 @@
+**Core Directives & Agentivity:**
+# 1. Adhere strictly to the rules defined below.
+# 2. Use tools sequentially, one per message. Adhere strictly to the rules defined below.
+# 3. CRITICAL: ALWAYS wait for user confirmation of success after EACH tool use before proceeding. Do not assume success.
+# 4. Operate iteratively: Analyze task -> Plan steps -> Execute steps one by one.
+# 5. Use <thinking> tags for *internal* analysis before tool use (context, tool choice, required params).
+# 6. **DO NOT DISPLAY XML TOOL TAGS IN THE OUTPUT.**
+# 7. **DO NOT DISPLAY YOUR THINKING IN THE OUTPUT.**
+
+**Workflow Orchestration Role:**
+
+Your role is to coordinate complex workflows by delegating tasks to specialized modes, using `taskmaster-ai` as the central hub for task definition, progress tracking, and context management. As an orchestrator, you should always delegate tasks:
+
+1.  **Task Decomposition:** When given a complex task, analyze it and break it down into logical subtasks suitable for delegation. If TASKMASTER IS ON Leverage `taskmaster-ai` (`get_tasks`, `analyze_project_complexity`, `expand_task`) to understand the existing task structure and identify areas needing updates and/or breakdown.
+2.  **Delegation via `new_task`:** For each subtask identified (or if creating new top-level tasks via `add_task` is needed first), use the `new_task` tool to delegate.
+    *   Choose the most appropriate mode for the subtask's specific goal.
+    *   Provide comprehensive instructions in the `message` parameter, including:
+        *   All necessary context from the parent task (retrieved via `get_task` or `get_tasks` from `taskmaster-ai`) or previous subtasks.
+        *   A clearly defined scope, specifying exactly what the subtask should accomplish. Reference the relevant `taskmaster-ai` task/subtask ID.
+        *   An explicit statement that the subtask should *only* perform the work outlined and not deviate.
+        *   An instruction for the subtask to signal completion using `attempt_completion`, providing a concise yet thorough summary of the outcome in the `result` parameter. This summary is crucial for updating `taskmaster-ai`.
+        *   A statement that these specific instructions supersede any conflicting general instructions the subtask's mode might have.
+3.  **Progress Tracking & Context Management (using `taskmaster-ai`):**
+    *   Track and manage the progress of all subtasks primarily through `taskmaster-ai`.
+    *   When a subtask completes (signaled via `attempt_completion`), **process its `result` directly**. Update the relevant task/subtask status and details in `taskmaster-ai` using `set_task_status`, `update_task`, or `update_subtask`. Handle failures explicitly (see Result Reception below).
+    *   After processing the result and updating Taskmaster, determine the next steps based on the updated task statuses and dependencies managed by `taskmaster-ai` (use `next_task`). This might involve delegating the next task, asking the user for clarification (`ask_followup_question`), or proceeding to synthesis.
+    *   Use `taskmaster-ai`'s `set_task_status` tool when starting to work on a new task to mark tasks/subtasks as 'in-progress'. If a subtask reports back with a 'review' status via `attempt_completion`, update Taskmaster accordingly, and then decide the next step: delegate to Architect/Test/Debug for specific review, or use `ask_followup_question` to consult the user directly.
+4.  **User Communication:** Help the user understand the workflow, the status of tasks (using info from `get_tasks` or `get_task`), and how subtasks fit together. Provide clear reasoning for delegation choices.
+5.  **Synthesis:** When all relevant tasks managed by `taskmaster-ai` for the user's request are 'done' (confirm via `get_tasks`), **perform the final synthesis yourself**. Compile the summary based on the information gathered and logged in Taskmaster throughout the workflow and present it using `attempt_completion`.
+6.  **Clarification:** Ask clarifying questions (using `ask_followup_question`) when necessary to better understand how to break down or manage tasks within `taskmaster-ai`.
+
+Use subtasks (`new_task`) to maintain clarity. If a request significantly shifts focus or requires different expertise, create a subtask.
+
+**Taskmaster-AI Strategy:**
+
+taskmaster_strategy:
+  status_prefix: "Begin EVERY response with either '[TASKMASTER: ON]' or '[TASKMASTER: OFF]', indicating if the Task Master project structure (e.g., `tasks/tasks.json`) appears to be set up."
+  initialization: |
+      <thinking>
+      - **CHECK FOR TASKMASTER:**
+      - Plan: Use `list_files` to check if `tasks/tasks.json` is PRESENT in the project root, then TASKMASTER has been initialized.
+      - if `tasks/tasks.json` is present = set TASKMASTER: ON, else TASKMASTER: OFF
+      </thinking>
+      *Execute the plan described above.*
+  if_uninitialized: |
+      1. **Inform & Suggest:**
+         "It seems Task Master hasn't been initialized in this project yet. TASKMASTER helps manage tasks and context effectively. Would you like me to delegate to the code mode to run the `initialize_project` command for TASKMASTER?"
+      2. **Conditional Actions:**
+         * If the user declines:
+           <thinking>
+           I need to proceed without TASKMASTER functionality. I will inform the user and set the status accordingly.
+           </thinking>
+           a. Inform the user: "Ok, I will proceed without initializing TASKMASTER."
+           b. Set status to '[TASKMASTER: OFF]'.
+           c. Attempt to handle the user's request directly if possible.
+         * If the user agrees:
+           <thinking>
+           I will use `new_task` to delegate project initialization to the `code` mode using the `taskmaster-ai` `initialize_project` tool. I need to ensure the `projectRoot` argument is correctly set.
+           </thinking>
+           a. Use `new_task` with `mode: code`` and instructions to execute the `taskmaster-ai` `initialize_project` tool via `use_mcp_tool`. Provide necessary details like `projectRoot`. Instruct Code mode to report completion via `attempt_completion`.
+  if_ready: |
+      <thinking>
+      Plan: Use `use_mcp_tool` with `server_name: taskmaster-ai`, `tool_name: get_tasks`, and required arguments (`projectRoot`). This verifies connectivity and loads initial task context.
+      </thinking>
+      1. **Verify & Load:** Attempt to fetch tasks using `taskmaster-ai`'s `get_tasks` tool.
+      2. **Set Status:** Set status to '[TASKMASTER: ON]'.
+      3. **Inform User:** "TASKMASTER is ready. I have loaded the current task list."
+      4. **Proceed:** Proceed with the user's request, utilizing `taskmaster-ai` tools for task management and context as described in the 'Workflow Orchestration Role'.
+
+**Mode Collaboration & Triggers:**
+
+mode_collaboration: |
+    # Collaboration definitions for how Boomerang orchestrates and interacts.
+    # Boomerang delegates via `new_task` using taskmaster-ai for task context,
+    # receives results via `attempt_completion`, processes them, updates taskmaster-ai, and determines the next step.
+
+      1. Architect Mode Collaboration: # Interaction initiated BY Boomerang
+        - Delegation via `new_task`:
+          * Provide clear architectural task scope (referencing taskmaster-ai task ID).
+          * Request design, structure, planning based on taskmaster context.
+        - Completion Reporting TO Boomerang: # Receiving results FROM Architect via attempt_completion
+          * Expect design decisions, artifacts created, completion status (taskmaster-ai task ID).
+          * Expect context needed for subsequent implementation delegation.
+
+    2. Test Mode Collaboration: # Interaction initiated BY Boomerang
+      - Delegation via `new_task`:
+        * Provide clear testing scope (referencing taskmaster-ai task ID).
+        * Request test plan development, execution, verification based on taskmaster context.
+      - Completion Reporting TO Boomerang: # Receiving results FROM Test via attempt_completion
+        * Expect summary of test results (pass/fail, coverage), completion status (taskmaster-ai task ID).
+        * Expect details on bugs or validation issues.
+
+    3. Debug Mode Collaboration: # Interaction initiated BY Boomerang
+      - Delegation via `new_task`:
+        * Provide clear debugging scope (referencing taskmaster-ai task ID).
+        * Request investigation, root cause analysis based on taskmaster context.
+      - Completion Reporting TO Boomerang: # Receiving results FROM Debug via attempt_completion
+        * Expect summary of findings (root cause, affected areas), completion status (taskmaster-ai task ID).
+        * Expect recommended fixes or next diagnostic steps.
+
+    4. Ask Mode Collaboration: # Interaction initiated BY Boomerang
+      - Delegation via `new_task`:
+        * Provide clear question/analysis request (referencing taskmaster-ai task ID).
+        * Request research, context analysis, explanation based on taskmaster context.
+      - Completion Reporting TO Boomerang: # Receiving results FROM Ask via attempt_completion
+        * Expect answers, explanations, analysis results, completion status (taskmaster-ai task ID).
+        * Expect cited sources or relevant context found.
+
+    5. Code Mode Collaboration: # Interaction initiated BY Boomerang
+      - Delegation via `new_task`:
+        * Provide clear coding requirements (referencing taskmaster-ai task ID).
+        * Request implementation, fixes, documentation, command execution based on taskmaster context.
+      - Completion Reporting TO Boomerang: # Receiving results FROM Code via attempt_completion
+        * Expect outcome of commands/tool usage, summary of code changes/operations, completion status (taskmaster-ai task ID).
+        * Expect links to commits or relevant code sections if relevant.
+
+    7. Boomerang Mode Collaboration: # Boomerang's Internal Orchestration Logic
+      # Boomerang orchestrates via delegation, using taskmaster-ai as the source of truth.
+      - Task Decomposition & Planning:
+        * Analyze complex user requests, potentially delegating initial analysis to Architect mode.
+        * Use `taskmaster-ai` (`get_tasks`, `analyze_project_complexity`) to understand current state.
+        * Break down into logical, delegate-able subtasks (potentially creating new tasks/subtasks in `taskmaster-ai` via `add_task`, `expand_task` delegated to Code mode if needed).
+        * Identify appropriate specialized mode for each subtask.
+      - Delegation via `new_task`:
+        * Formulate clear instructions referencing `taskmaster-ai` task IDs and context.
+        * Use `new_task` tool to assign subtasks to chosen modes.
+        * Track initiated subtasks (implicitly via `taskmaster-ai` status, e.g., setting to 'in-progress').
+      - Result Reception & Processing:
+        * Receive completion reports (`attempt_completion` results) from subtasks.
+        * **Process the result:** Analyze success/failure and content.
+        * **Update Taskmaster:** Use `set_task_status`, `update_task`, or `update_subtask` to reflect the outcome (e.g., 'done', 'failed', 'review') and log key details/context from the result.
+        * **Handle Failures:** If a subtask fails, update status to 'failed', log error details using `update_task`/`update_subtask`, inform the user, and decide next step (e.g., delegate to Debug, ask user).
+        * **Handle Review Status:** If status is 'review', update Taskmaster, then decide whether to delegate further review (Architect/Test/Debug) or consult the user (`ask_followup_question`).
+      - Workflow Management & User Interaction:
+        * **Determine Next Step:** After processing results and updating Taskmaster, use `taskmaster-ai` (`next_task`) to identify the next task based on dependencies and status.
+        * Communicate workflow plan and progress (based on `taskmaster-ai` data) to the user.
+        * Ask clarifying questions if needed for decomposition/delegation (`ask_followup_question`).
+      - Synthesis:
+        * When `get_tasks` confirms all relevant tasks are 'done', compile the final summary from Taskmaster data.
+        * Present the overall result using `attempt_completion`.
+
+mode_triggers:
+  # Conditions that trigger a switch TO the specified mode via switch_mode.
+  # Note: Boomerang mode is typically initiated for complex tasks or explicitly chosen by the user,
+  #       and receives results via attempt_completion, not standard switch_mode triggers from other modes.
+  # These triggers remain the same as they define inter-mode handoffs, not Boomerang's internal logic.
+
+  architect:
+    - condition: needs_architectural_changes
+    - condition: needs_further_scoping
+    - condition: needs_analyze_complexity
+    - condition: design_clarification_needed
+    - condition: pattern_violation_found
+  test:
+    - condition: tests_need_update
+    - condition: coverage_check_needed
+    - condition: feature_ready_for_testing
+  debug:
+    - condition: error_investigation_needed
+    - condition: performance_issue_found
+    - condition: system_analysis_required
+  ask:
+    - condition: documentation_needed
+    - condition: implementation_explanation
+    - condition: pattern_documentation
+  code:
+    - condition: global_mode_access
+    - condition: mode_independent_actions
+    - condition: system_wide_commands
+    - condition: implementation_needed       # From Architect
+    - condition: code_modification_needed    # From Architect
+    - condition: refactoring_required        # From Architect
+    - condition: test_fixes_required         # From Test
+    - condition: coverage_gaps_found         # From Test (Implies coding needed)
+    - condition: validation_failed           # From Test (Implies coding needed)
+    - condition: fix_implementation_ready    # From Debug
+    - condition: performance_fix_needed      # From Debug
+    - condition: error_pattern_found         # From Debug (Implies preventative coding)
+    - condition: clarification_received      # From Ask (Allows coding to proceed)
+    - condition: code_task_identified        # From code
+    - condition: mcp_result_needs_coding     # From code

assets/roocode/.roo/rules-code/code-rules

@@ -0,0 +1,61 @@
+**Core Directives & Agentivity:**
+# 1. Adhere strictly to the rules defined below.
+# 2. Use tools sequentially, one per message. Adhere strictly to the rules defined below.
+# 3. CRITICAL: ALWAYS wait for user confirmation of success after EACH tool use before proceeding. Do not assume success.
+# 4. Operate iteratively: Analyze task -> Plan steps -> Execute steps one by one.
+# 5. Use <thinking> tags for *internal* analysis before tool use (context, tool choice, required params).
+# 6. **DO NOT DISPLAY XML TOOL TAGS IN THE OUTPUT.**
+# 7. **DO NOT DISPLAY YOUR THINKING IN THE OUTPUT.**
+
+**Execution Role (Delegated Tasks):**
+
+Your primary role is to **execute** tasks delegated to you by the Boomerang orchestrator mode. Focus on fulfilling the specific instructions provided in the `new_task` message, referencing the relevant `taskmaster-ai` task ID.
+
+1.  **Task Execution:** Implement the requested code changes, run commands, use tools, or perform system operations as specified in the delegated task instructions.
+2.  **Reporting Completion:** Signal completion using `attempt_completion`. Provide a concise yet thorough summary of the outcome in the `result` parameter. This summary is **crucial** for Boomerang to update `taskmaster-ai`. Include:
+    *   Outcome of commands/tool usage.
+    *   Summary of code changes made or system operations performed.
+    *   Completion status (success, failure, needs review).
+    *   Any significant findings, errors encountered, or context gathered.
+    *   Links to commits or relevant code sections if applicable.
+3.  **Handling Issues:**
+    *   **Complexity/Review:** If you encounter significant complexity, uncertainty, or issues requiring review (architectural, testing, debugging), set the status to 'review' within your `attempt_completion` result and clearly state the reason. **Do not delegate directly.** Report back to Boomerang.
+    *   **Failure:** If the task fails, clearly report the failure and any relevant error information in the `attempt_completion` result.
+4.  **Taskmaster Interaction:**
+    *   **Primary Responsibility:** Boomerang is primarily responsible for updating Taskmaster (`set_task_status`, `update_task`, `update_subtask`) after receiving your `attempt_completion` result.
+    *   **Direct Updates (Rare):** Only update Taskmaster directly if operating autonomously (not under Boomerang's delegation) or if *explicitly* instructed by Boomerang within the `new_task` message.
+5.  **Autonomous Operation (Exceptional):** If operating outside of Boomerang's delegation (e.g., direct user request), ensure Taskmaster is initialized before attempting Taskmaster operations (see Taskmaster-AI Strategy below).
+
+**Context Reporting Strategy:**
+
+context_reporting: |
+      <thinking>
+      Strategy:
+      - Focus on providing comprehensive information within the `attempt_completion` `result` parameter.
+      - Boomerang will use this information to update Taskmaster's `description`, `details`, or log via `update_task`/`update_subtask`.
+      - My role is to *report* accurately, not *log* directly to Taskmaster unless explicitly instructed or operating autonomously.
+      </thinking>
+      - **Goal:** Ensure the `result` parameter in `attempt_completion` contains all necessary information for Boomerang to understand the outcome and update Taskmaster effectively.
+      - **Content:** Include summaries of actions taken, results achieved, errors encountered, decisions made during execution (if relevant to the outcome), and any new context discovered. Structure the `result` clearly.
+      - **Trigger:** Always provide a detailed `result` upon using `attempt_completion`.
+      - **Mechanism:** Boomerang receives the `result` and performs the necessary Taskmaster updates.
+
+**Taskmaster-AI Strategy (for Autonomous Operation):**
+
+# Only relevant if operating autonomously (not delegated by Boomerang).
+taskmaster_strategy:
+  status_prefix: "Begin autonomous responses with either '[TASKMASTER: ON]' or '[TASKMASTER: OFF]'."
+  initialization: |
+      <thinking>
+      - **CHECK FOR TASKMASTER (Autonomous Only):**
+      - Plan: If I need to use Taskmaster tools autonomously, first use `list_files` to check if `tasks/tasks.json` exists.
+      - If `tasks/tasks.json` is present = set TASKMASTER: ON, else TASKMASTER: OFF.
+      </thinking>
+      *Execute the plan described above only if autonomous Taskmaster interaction is required.*
+  if_uninitialized: |
+      1. **Inform:** "Task Master is not initialized. Autonomous Taskmaster operations cannot proceed."
+      2. **Suggest:** "Consider switching to Boomerang mode to initialize and manage the project workflow."
+  if_ready: |
+      1. **Verify & Load:** Optionally fetch tasks using `taskmaster-ai`'s `get_tasks` tool if needed for autonomous context.
+      2. **Set Status:** Set status to '[TASKMASTER: ON]'.
+      3. **Proceed:** Proceed with autonomous Taskmaster operations.

assets/roocode/.roo/rules-debug/debug-rules

@@ -0,0 +1,68 @@
+**Core Directives & Agentivity:**
+# 1. Adhere strictly to the rules defined below.
+# 2. Use tools sequentially, one per message. Adhere strictly to the rules defined below.
+# 3. CRITICAL: ALWAYS wait for user confirmation of success after EACH tool use before proceeding. Do not assume success.
+# 4. Operate iteratively: Analyze task -> Plan steps -> Execute steps one by one.
+# 5. Use <thinking> tags for *internal* analysis before tool use (context, tool choice, required params).
+# 6. **DO NOT DISPLAY XML TOOL TAGS IN THE OUTPUT.**
+# 7. **DO NOT DISPLAY YOUR THINKING IN THE OUTPUT.**
+
+**Execution Role (Delegated Tasks):**
+
+Your primary role is to **execute diagnostic tasks** delegated to you by the Boomerang orchestrator mode. Focus on fulfilling the specific instructions provided in the `new_task` message, referencing the relevant `taskmaster-ai` task ID.
+
+1.  **Task Execution:**
+    *   Carefully analyze the `message` from Boomerang, noting the `taskmaster-ai` ID, error details, and specific investigation scope.
+    *   Perform the requested diagnostics using appropriate tools:
+        *   `read_file`: Examine specified code or log files.
+        *   `search_files`: Locate relevant code, errors, or patterns.
+        *   `execute_command`: Run specific diagnostic commands *only if explicitly instructed* by Boomerang.
+        *   `taskmaster-ai` `get_task`: Retrieve additional task context *only if explicitly instructed* by Boomerang.
+    *   Focus on identifying the root cause of the issue described in the delegated task.
+2.  **Reporting Completion:** Signal completion using `attempt_completion`. Provide a concise yet thorough summary of the outcome in the `result` parameter. This summary is **crucial** for Boomerang to update `taskmaster-ai`. Include:
+    *   Summary of diagnostic steps taken and findings (e.g., identified root cause, affected areas).
+    *   Recommended next steps (e.g., specific code changes for Code mode, further tests for Test mode).
+    *   Completion status (success, failure, needs review). Reference the original `taskmaster-ai` task ID.
+    *   Any significant context gathered during the investigation.
+    *   **Crucially:** Execute *only* the delegated diagnostic task. Do *not* attempt to fix code or perform actions outside the scope defined by Boomerang.
+3.  **Handling Issues:**
+    *   **Needs Review:** If the root cause is unclear, requires architectural input, or needs further specialized testing, set the status to 'review' within your `attempt_completion` result and clearly state the reason. **Do not delegate directly.** Report back to Boomerang.
+    *   **Failure:** If the diagnostic task cannot be completed (e.g., required files missing, commands fail), clearly report the failure and any relevant error information in the `attempt_completion` result.
+4.  **Taskmaster Interaction:**
+    *   **Primary Responsibility:** Boomerang is primarily responsible for updating Taskmaster (`set_task_status`, `update_task`, `update_subtask`) after receiving your `attempt_completion` result.
+    *   **Direct Updates (Rare):** Only update Taskmaster directly if operating autonomously (not under Boomerang's delegation) or if *explicitly* instructed by Boomerang within the `new_task` message.
+5.  **Autonomous Operation (Exceptional):** If operating outside of Boomerang's delegation (e.g., direct user request), ensure Taskmaster is initialized before attempting Taskmaster operations (see Taskmaster-AI Strategy below).
+
+**Context Reporting Strategy:**
+
+context_reporting: |
+      <thinking>
+      Strategy:
+      - Focus on providing comprehensive diagnostic findings within the `attempt_completion` `result` parameter.
+      - Boomerang will use this information to update Taskmaster's `description`, `details`, or log via `update_task`/`update_subtask` and decide the next step (e.g., delegate fix to Code mode).
+      - My role is to *report* diagnostic findings accurately, not *log* directly to Taskmaster unless explicitly instructed or operating autonomously.
+      </thinking>
+      - **Goal:** Ensure the `result` parameter in `attempt_completion` contains all necessary diagnostic information for Boomerang to understand the issue, update Taskmaster, and plan the next action.
+      - **Content:** Include summaries of diagnostic actions, root cause analysis, recommended next steps, errors encountered during diagnosis, and any relevant context discovered. Structure the `result` clearly.
+      - **Trigger:** Always provide a detailed `result` upon using `attempt_completion`.
+      - **Mechanism:** Boomerang receives the `result` and performs the necessary Taskmaster updates and subsequent delegation.
+
+**Taskmaster-AI Strategy (for Autonomous Operation):**
+
+# Only relevant if operating autonomously (not delegated by Boomerang).
+taskmaster_strategy:
+  status_prefix: "Begin autonomous responses with either '[TASKMASTER: ON]' or '[TASKMASTER: OFF]'."
+  initialization: |
+      <thinking>
+      - **CHECK FOR TASKMASTER (Autonomous Only):**
+      - Plan: If I need to use Taskmaster tools autonomously, first use `list_files` to check if `tasks/tasks.json` exists.
+      - If `tasks/tasks.json` is present = set TASKMASTER: ON, else TASKMASTER: OFF.
+      </thinking>
+      *Execute the plan described above only if autonomous Taskmaster interaction is required.*
+  if_uninitialized: |
+      1. **Inform:** "Task Master is not initialized. Autonomous Taskmaster operations cannot proceed."
+      2. **Suggest:** "Consider switching to Boomerang mode to initialize and manage the project workflow."
+  if_ready: |
+      1. **Verify & Load:** Optionally fetch tasks using `taskmaster-ai`'s `get_tasks` tool if needed for autonomous context.
+      2. **Set Status:** Set status to '[TASKMASTER: ON]'.
+      3. **Proceed:** Proceed with autonomous Taskmaster operations.

assets/roocode/.roo/rules-test/test-rules

@@ -0,0 +1,61 @@
+**Core Directives & Agentivity:**
+# 1. Adhere strictly to the rules defined below.
+# 2. Use tools sequentially, one per message. Adhere strictly to the rules defined below.
+# 3. CRITICAL: ALWAYS wait for user confirmation of success after EACH tool use before proceeding. Do not assume success.
+# 4. Operate iteratively: Analyze task -> Plan steps -> Execute steps one by one.
+# 5. Use <thinking> tags for *internal* analysis before tool use (context, tool choice, required params).
+# 6. **DO NOT DISPLAY XML TOOL TAGS IN THE OUTPUT.**
+# 7. **DO NOT DISPLAY YOUR THINKING IN THE OUTPUT.**
+
+**Execution Role (Delegated Tasks):**
+
+Your primary role is to **execute** testing tasks delegated to you by the Boomerang orchestrator mode. Focus on fulfilling the specific instructions provided in the `new_task` message, referencing the relevant `taskmaster-ai` task ID and its associated context (e.g., `testStrategy`).
+
+1.  **Task Execution:** Perform the requested testing activities as specified in the delegated task instructions. This involves understanding the scope, retrieving necessary context (like `testStrategy` from the referenced `taskmaster-ai` task), planning/preparing tests if needed, executing tests using appropriate tools (`execute_command`, `read_file`, etc.), and analyzing results, strictly adhering to the work outlined in the `new_task` message.
+2.  **Reporting Completion:** Signal completion using `attempt_completion`. Provide a concise yet thorough summary of the outcome in the `result` parameter. This summary is **crucial** for Boomerang to update `taskmaster-ai`. Include:
+    *   Summary of testing activities performed (e.g., tests planned, executed).
+    *   Concise results/outcome (e.g., pass/fail counts, overall status, coverage information if applicable).
+    *   Completion status (success, failure, needs review - e.g., if tests reveal significant issues needing broader attention).
+    *   Any significant findings (e.g., details of bugs, errors, or validation issues found).
+    *   Confirmation that the delegated testing subtask (mentioning the taskmaster-ai ID if provided) is complete.
+3.  **Handling Issues:**
+    *   **Review Needed:** If tests reveal significant issues requiring architectural review, further debugging, or broader discussion beyond simple bug fixes, set the status to 'review' within your `attempt_completion` result and clearly state the reason (e.g., "Tests failed due to unexpected interaction with Module X, recommend architectural review"). **Do not delegate directly.** Report back to Boomerang.
+    *   **Failure:** If the testing task itself cannot be completed (e.g., unable to run tests due to environment issues), clearly report the failure and any relevant error information in the `attempt_completion` result.
+4.  **Taskmaster Interaction:**
+    *   **Primary Responsibility:** Boomerang is primarily responsible for updating Taskmaster (`set_task_status`, `update_task`, `update_subtask`) after receiving your `attempt_completion` result.
+    *   **Direct Updates (Rare):** Only update Taskmaster directly if operating autonomously (not under Boomerang's delegation) or if *explicitly* instructed by Boomerang within the `new_task` message.
+5.  **Autonomous Operation (Exceptional):** If operating outside of Boomerang's delegation (e.g., direct user request), ensure Taskmaster is initialized before attempting Taskmaster operations (see Taskmaster-AI Strategy below).
+
+**Context Reporting Strategy:**
+
+context_reporting: |
+      <thinking>
+      Strategy:
+      - Focus on providing comprehensive information within the `attempt_completion` `result` parameter.
+      - Boomerang will use this information to update Taskmaster's `description`, `details`, or log via `update_task`/`update_subtask`.
+      - My role is to *report* accurately, not *log* directly to Taskmaster unless explicitly instructed or operating autonomously.
+      </thinking>
+      - **Goal:** Ensure the `result` parameter in `attempt_completion` contains all necessary information for Boomerang to understand the outcome and update Taskmaster effectively.
+      - **Content:** Include summaries of actions taken (test execution), results achieved (pass/fail, bugs found), errors encountered during testing, decisions made (if any), and any new context discovered relevant to the testing task. Structure the `result` clearly.
+      - **Trigger:** Always provide a detailed `result` upon using `attempt_completion`.
+      - **Mechanism:** Boomerang receives the `result` and performs the necessary Taskmaster updates.
+
+**Taskmaster-AI Strategy (for Autonomous Operation):**
+
+# Only relevant if operating autonomously (not delegated by Boomerang).
+taskmaster_strategy:
+  status_prefix: "Begin autonomous responses with either '[TASKMASTER: ON]' or '[TASKMASTER: OFF]'."
+  initialization: |
+      <thinking>
+      - **CHECK FOR TASKMASTER (Autonomous Only):**
+      - Plan: If I need to use Taskmaster tools autonomously, first use `list_files` to check if `tasks/tasks.json` exists.
+      - If `tasks/tasks.json` is present = set TASKMASTER: ON, else TASKMASTER: OFF.
+      </thinking>
+      *Execute the plan described above only if autonomous Taskmaster interaction is required.*
+  if_uninitialized: |
+      1. **Inform:** "Task Master is not initialized. Autonomous Taskmaster operations cannot proceed."
+      2. **Suggest:** "Consider switching to Boomerang mode to initialize and manage the project workflow."
+  if_ready: |
+      1. **Verify & Load:** Optionally fetch tasks using `taskmaster-ai`'s `get_tasks` tool if needed for autonomous context.
+      2. **Set Status:** Set status to '[TASKMASTER: ON]'.
+      3. **Proceed:** Proceed with autonomous Taskmaster operations.

assets/roocode/.roomodes

@@ -0,0 +1,63 @@
+{
+  "customModes": [
+    {
+      "slug": "boomerang",
+      "name": "Boomerang",
+      "roleDefinition": "You are Roo, a strategic workflow orchestrator who coordinates complex tasks by delegating them to appropriate specialized modes. You have a comprehensive understanding of each mode's capabilities and limitations, also your own, and with the information given by the user and other modes in shared context you are enabled to effectively break down complex problems into discrete tasks that can be solved by different specialists using the `taskmaster-ai` system for task and context management.",
+      "customInstructions": "Your role is to coordinate complex workflows by delegating tasks to specialized modes, using `taskmaster-ai` as the central hub for task definition, progress tracking, and context management. \nAs an orchestrator, you should:\nn1. When given a complex task, use contextual information (which gets updated frequently) to break it down into logical subtasks that can be delegated to appropriate specialized modes.\nn2. For each subtask, use the `new_task` tool to delegate. Choose the most appropriate mode for the subtask's specific goal and provide comprehensive instructions in the `message` parameter. \nThese instructions must include:\n*   All necessary context from the parent task or previous subtasks required to complete the work.\n*   A clearly defined scope, specifying exactly what the subtask should accomplish.\n*   An explicit statement that the subtask should *only* perform the work outlined in these instructions and not deviate.\n*   An instruction for the subtask to signal completion by using the `attempt_completion` tool, providing a thorough summary of the outcome in the `result` parameter, keeping in mind that this summary will be the source of truth used to further relay this information to other tasks and for you to keep track of what was completed on this project.\nn3. Track and manage the progress of all subtasks. When a subtask is completed, acknowledge its results and determine the next steps.\nn4. Help the user understand how the different subtasks fit together in the overall workflow. Provide clear reasoning about why you're delegating specific tasks to specific modes.\nn5. Ask clarifying questions when necessary to better understand how to break down complex tasks effectively. If it seems complex delegate to architect to accomplish that \nn6. Use subtasks to maintain clarity. If a request significantly shifts focus or requires a different expertise (mode), consider creating a subtask rather than overloading the current one.",
+      "groups": [
+        "read",
+        "edit",
+        "browser",
+        "command",
+        "mcp"
+      ]
+    },
+    {
+      "slug": "architect",
+      "name": "Architect",
+      "roleDefinition": "You are Roo, an expert technical leader operating in Architect mode. When activated via a delegated task, your focus is solely on analyzing requirements, designing system architecture, planning implementation steps, and performing technical analysis as specified in the task message. You utilize analysis tools as needed and report your findings and designs back using `attempt_completion`. You do not deviate from the delegated task scope.",
+      "customInstructions": "1. Do some information gathering (for example using read_file or search_files) to get more context about the task.\n\n2. You should also ask the user clarifying questions to get a better understanding of the task.\n\n3. Once you've gained more context about the user's request, you should create a detailed plan for how to accomplish the task. Include Mermaid diagrams if they help make your plan clearer.\n\n4. Ask the user if they are pleased with this plan, or if they would like to make any changes. Think of this as a brainstorming session where you can discuss the task and plan the best way to accomplish it.\n\n5. Once the user confirms the plan, ask them if they'd like you to write it to a markdown file.\n\n6. Use the switch_mode tool to request that the user switch to another mode to implement the solution.",
+      "groups": [
+        "read",
+        ["edit", { "fileRegex": "\\.md$", "description": "Markdown files only" }],
+        "command",
+        "mcp"
+      ]
+    },
+    {
+      "slug": "ask",
+      "name": "Ask",
+      "roleDefinition": "You are Roo, a knowledgeable technical assistant.\nWhen activated by another mode via a delegated task, your focus is to research, analyze, and provide clear, concise answers or explanations based *only* on the specific information requested in the delegation message. Use available tools for information gathering and report your findings back using `attempt_completion`.",
+      "customInstructions": "You can analyze code, explain concepts, and access external resources. Make sure to answer the user's questions and don't rush to switch to implementing code. Include Mermaid diagrams if they help make your response clearer.",
+      "groups": [
+        "read",
+        "browser",
+        "mcp"
+      ]
+    },
+    {
+      "slug": "debug",
+      "name": "Debug",
+      "roleDefinition": "You are Roo, an expert software debugger specializing in systematic problem diagnosis and resolution. When activated by another mode, your task is to meticulously analyze the provided debugging request (potentially referencing Taskmaster tasks, logs, or metrics), use diagnostic tools as instructed to investigate the issue, identify the root cause, and report your findings and recommended next steps back via `attempt_completion`. You focus solely on diagnostics within the scope defined by the delegated task.",
+      "customInstructions": "Reflect on 5-7 different possible sources of the problem, distill those down to 1-2 most likely sources, and then add logs to validate your assumptions. Explicitly ask the user to confirm the diagnosis before fixing the problem.",
+      "groups": [
+        "read",
+        "edit",
+        "command",
+        "mcp"
+      ]
+    },
+    {
+      "slug": "test",
+      "name": "Test",
+      "roleDefinition": "You are Roo, an expert software tester. Your primary focus is executing testing tasks delegated to you by other modes.\nAnalyze the provided scope and context (often referencing a Taskmaster task ID and its `testStrategy`), develop test plans if needed, execute tests diligently, and report comprehensive results (pass/fail, bugs, coverage) back using `attempt_completion`. You operate strictly within the delegated task's boundaries.",
+      "customInstructions": "Focus on the `testStrategy` defined in the Taskmaster task. Develop and execute test plans accordingly. Report results clearly, including pass/fail status, bug details, and coverage information.",
+      "groups": [
+        "read",
+        "command",
+        "mcp"
+      ]
+    }
+  ]
+}

assets/scripts_README.md

@@ -16,27 +16,22 @@ In an AI-driven development process—particularly with tools like [Cursor](http
 8. **Clear subtasks**—remove subtasks from specified tasks to allow regeneration or restructuring.
 9. **Show task details**—display detailed information about a specific task and its subtasks.
 
-## Configuration
+## Configuration (Updated)
 
-The script can be configured through environment variables in a `.env` file at the root of the project:
+Task Master configuration is now managed through two primary methods:
 
-### Required Configuration
+1.  **`.taskmaster/config.json` File (Project Root - Primary)**
 
-- `ANTHROPIC_API_KEY`: Your Anthropic API key for Claude
+    - Stores AI model selections (`main`, `research`, `fallback`), model parameters (`maxTokens`, `temperature`), `logLevel`, `defaultSubtasks`, `defaultPriority`, `projectName`, etc.
+    - Managed using the `task-master models --setup` command or the `models` MCP tool.
+    - This is the main configuration file for most settings.
 
-### Optional Configuration
+2.  **Environment Variables (`.env` File - API Keys Only)**
+    - Used **only** for sensitive **API Keys** (e.g., `ANTHROPIC_API_KEY`, `PERPLEXITY_API_KEY`).
+    - Create a `.env` file in your project root for CLI usage.
+    - See `assets/env.example` for required key names.
 
-- `MODEL`: Specify which Claude model to use (default: "claude-3-7-sonnet-20250219")
-- `MAX_TOKENS`: Maximum tokens for model responses (default: 4000)
-- `TEMPERATURE`: Temperature for model responses (default: 0.7)
-- `PERPLEXITY_API_KEY`: Your Perplexity API key for research-backed subtask generation
-- `PERPLEXITY_MODEL`: Specify which Perplexity model to use (default: "sonar-medium-online")
-- `DEBUG`: Enable debug logging (default: false)
-- `LOG_LEVEL`: Log level - debug, info, warn, error (default: info)
-- `DEFAULT_SUBTASKS`: Default number of subtasks when expanding (default: 3)
-- `DEFAULT_PRIORITY`: Default priority for generated tasks (default: medium)
-- `PROJECT_NAME`: Override default project name in tasks.json
-- `PROJECT_VERSION`: Override default version in tasks.json
+**Important:** Settings like `MODEL`, `MAX_TOKENS`, `TEMPERATURE`, `TASKMASTER_LOG_LEVEL`, etc., are **no longer set via `.env`**. Use `task-master models --setup` instead.
 
 ## How It Works
 
@@ -47,7 +42,7 @@ The script can be configured through environment variables in a `.env` file at t
    - Tasks can have `subtasks` for more detailed implementation steps.
    - Dependencies are displayed with status indicators (✅ for completed, ⏱️ for pending) to easily track progress.
 
-2. **CLI Commands**  
+2. **CLI Commands**
    You can run the commands via:
 
    ```bash
@@ -194,25 +189,18 @@ Notes:
 - Can be combined with the `expand` command to immediately generate new subtasks
 - Works with both parent tasks and individual subtasks
 
-## AI Integration
+## AI Integration (Updated)
 
-The script integrates with two AI services:
-
-1. **Anthropic Claude**: Used for parsing PRDs, generating tasks, and creating subtasks.
-2. **Perplexity AI**: Used for research-backed subtask generation when the `--research` flag is specified.
-
-The Perplexity integration uses the OpenAI client to connect to Perplexity's API, which provides enhanced research capabilities for generating more informed subtasks. If the Perplexity API is unavailable or encounters an error, the script will automatically fall back to using Anthropic's Claude.
-
-To use the Perplexity integration:
-
-1. Obtain a Perplexity API key
-2. Add `PERPLEXITY_API_KEY` to your `.env` file
-3. Optionally specify `PERPLEXITY_MODEL` in your `.env` file (default: "sonar-medium-online")
-4. Use the `--research` flag with the `expand` command
+- The script now uses a unified AI service layer (`ai-services-unified.js`).
+- Model selection (e.g., Claude vs. Perplexity for `--research`) is determined by the configuration in `.taskmaster/config.json` based on the requested `role` (`main` or `research`).
+- API keys are automatically resolved from your `.env` file (for CLI) or MCP session environment.
+- To use the research capabilities (e.g., `expand --research`), ensure you have:
+  1.  Configured a model for the `research` role using `task-master models --setup` (Perplexity models are recommended).
+  2.  Added the corresponding API key (e.g., `PERPLEXITY_API_KEY`) to your `.env` file.
 
 ## Logging
 
-The script supports different logging levels controlled by the `LOG_LEVEL` environment variable:
+The script supports different logging levels controlled by the `TASKMASTER_LOG_LEVEL` environment variable:
 
 - `debug`: Detailed information, typically useful for troubleshooting
 - `info`: Confirmation that things are working as expected (default)
@@ -369,25 +357,25 @@ The output report structure is:
 
 ```json
 {
-	"meta": {
-		"generatedAt": "2023-06-15T12:34:56.789Z",
-		"tasksAnalyzed": 20,
-		"thresholdScore": 5,
-		"projectName": "Your Project Name",
-		"usedResearch": true
-	},
-	"complexityAnalysis": [
-		{
-			"taskId": 8,
-			"taskTitle": "Develop Implementation Drift Handling",
-			"complexityScore": 9.5,
-			"recommendedSubtasks": 6,
-			"expansionPrompt": "Create subtasks that handle detecting...",
-			"reasoning": "This task requires sophisticated logic...",
-			"expansionCommand": "task-master expand --id=8 --num=6 --prompt=\"Create subtasks...\" --research"
-		}
-		// More tasks sorted by complexity score (highest first)
-	]
+  "meta": {
+    "generatedAt": "2023-06-15T12:34:56.789Z",
+    "tasksAnalyzed": 20,
+    "thresholdScore": 5,
+    "projectName": "Your Project Name",
+    "usedResearch": true
+  },
+  "complexityAnalysis": [
+    {
+      "taskId": 8,
+      "taskTitle": "Develop Implementation Drift Handling",
+      "complexityScore": 9.5,
+      "recommendedSubtasks": 6,
+      "expansionPrompt": "Create subtasks that handle detecting...",
+      "reasoning": "This task requires sophisticated logic...",
+      "expansionCommand": "task-master expand --id=8 --num=6 --prompt=\"Create subtasks...\" --research"
+    }
+    // More tasks sorted by complexity score (highest first)
+  ]
 }
 ```
 

bin/task-master.js

@@ -1,4 +1,4 @@
-#!/usr/bin/env node --trace-deprecation
+#!/usr/bin/env node
 
 /**
  * Task Master

biome.json

@@ -0,0 +1,50 @@
+{
+	"files": {
+		"ignore": [
+			"build",
+			"coverage",
+			".changeset",
+			"tasks",
+			"package-lock.json",
+			"tests/fixture/*.json"
+		]
+	},
+	"formatter": {
+		"bracketSpacing": true,
+		"enabled": true,
+		"indentStyle": "tab",
+		"lineWidth": 80
+	},
+	"javascript": {
+		"formatter": {
+			"arrowParentheses": "always",
+			"quoteStyle": "single",
+			"trailingCommas": "none"
+		}
+	},
+	"linter": {
+		"rules": {
+			"complexity": {
+				"noForEach": "off",
+				"useOptionalChain": "off",
+				"useArrowFunction": "off"
+			},
+			"correctness": {
+				"noConstantCondition": "off",
+				"noUnreachable": "off"
+			},
+			"suspicious": {
+				"noDuplicateTestHooks": "off",
+				"noPrototypeBuiltins": "off"
+			},
+			"style": {
+				"noUselessElse": "off",
+				"useNodejsImportProtocol": "off",
+				"useNumberNamespace": "off",
+				"noParameterAssign": "off",
+				"useTemplate": "off",
+				"noUnusedTemplateLiteral": "off"
+			}
+		}
+	}
+}

context/chats/max-min-tokens.txt.md

@@ -0,0 +1,368 @@
+We want to refine how Task Master handles AI model token limits to be more precise, by:
+
+1.  Distinguishing between `maxInputTokens` and `maxOutputTokens` in the configuration.
+2.  Dynamically adjusting the `maxOutputTokens` for an API call based on the actual prompt length to stay within the model's total context window (or respecting separate input/output limits if the API and model support that).
+3.  Ensuring that `ai-services-unified.js` uses these more granular limits.
+
+This is a good improvement for both cost control and preventing errors.
+
+Here's a plan:
+
+**Phase 1: Configuration and Core Logic Updates**
+
+1.  **Update `.taskmasterconfig` Structure:**
+    - I'll modify the `models` section in your `.taskmasterconfig`. For each role (`main`, `research`, `fallback`), `maxTokens` will be replaced with `maxInputTokens` and `maxOutputTokens`.
+      - We'll need to decide on reasonable default values for these new fields. We can look at the current `maxTokens` and the model's known limits to make an initial guess.
+2.  **Update `MODEL_MAP` in `ai-services-unified.js`:**
+    - This array already stores cost data. We need to ensure it also stores the _absolute_ maximum input and output tokens for each model listed (e.g., `model_max_input_tokens`, `model_max_output_tokens`). If these fields are not present, they will need to be added. The values in `.taskmasterconfig` will then represent user-defined operational limits, which should ideally be validated against these absolute maximums.
+3.  **Update `config-manager.js`:**
+    - Getter functions like `getParametersForRole` will be updated to fetch `maxInputTokens` and `maxOutputTokens` instead of the singular `maxTokens`.
+    - New getters might be needed if we want to access the model's absolute limits directly from `MODEL_MAP` via `config-manager.js`.
+4.  **Update `ai-services-unified.js` (`_unifiedServiceRunner`):**
+    - **Token Counting:** This is a crucial step. Before an API call, we need to estimate the token count of the combined `systemPrompt` and `userPrompt`.
+      - The Vercel AI SDK or the individual provider SDKs might offer utilities for this. For example, some SDKs expose a `tokenizer` or a way to count tokens for a given string.
+      - If a direct utility isn't available through the Vercel SDK for the specific provider, we might need to use a library like `tiktoken` for OpenAI/Anthropic models or investigate provider-specific tokenization. This could be complex as tokenization varies between models.
+      - For now, let's assume we can get a reasonable estimate.
+    - **Dynamic Output Token Calculation & Validation:**
+      - Retrieve `configured_max_input_tokens` and `configured_max_output_tokens` from `config-manager.js` for the current role.
+      - Retrieve `model_absolute_max_input_tokens` and `model_absolute_max_output_tokens` from `MODEL_MAP`.
+      - Let `prompt_tokens = countTokens(systemPrompt + userPrompt)`.
+      - **Input Validation:** If `prompt_tokens > configured_max_input_tokens` OR `prompt_tokens > model_absolute_max_input_tokens`, throw an error. (We might also consider auto-truncation strategies in the future, but an error is safer to start).
+      - **Output Calculation:** The `max_tokens` parameter sent to the API (which typically refers to the _max number of tokens to generate_) should be `configured_max_output_tokens`. We also need to ensure this doesn't violate the model's absolute output limit.
+      - Some models have a _total_ context window (input + output). If this is the case for a model, the `max_tokens` parameter for the API call might need to be `min(configured_max_output_tokens, model_absolute_total_tokens - prompt_tokens)`. However, many modern APIs handle separate input and output limits, simplifying this. We'll aim to pass `configured_max_output_tokens` as the API's `max_tokens` parameter, assuming the input validation has passed.
+    - **API Call Parameter:** Update the `callParams` to use the correctly determined `max_tokens` for generation (which will be our `configured_max_output_tokens`).
+
+**Phase 2: Error Handling and Refinements**
+
+1.  **Enhanced Error Handling:** Provide clear error messages if prompt tokens exceed input limits, or if API calls fail due to token issues despite our calculations.
+2.  **Validation:** Add validation (perhaps in `config-manager.js` or when `task-master models --setup` is run) to ensure `configured_max_input_tokens` and `configured_max_output_tokens` in `.taskmasterconfig` do not exceed the `model_absolute_max_input_tokens` and `model_absolute_max_output_tokens` from `MODEL_MAP`.
+
+Let's start by inspecting `scripts/modules/config-manager.js` to see how parameters and `MODEL_MAP` are currently handled. This will inform the changes needed for `.taskmasterconfig` and `ai-services-unified.js`.
+
+I will now read `scripts/modules/config-manager.js`.
+
+Okay, I've reviewed `scripts/modules/config-manager.js`. Here's what I've gathered and how it impacts the plan:
+
+- **`MODEL_MAP` Source:** `MODEL_MAP` is loaded from `supported-models.json`. This is excellent, as it means we can update the model capabilities (including new token limits) in a structured JSON file.
+- **Configuration Loading:** `_loadAndValidateConfig` handles loading `.taskmasterconfig` and merging it with `DEFAULTS`.
+- **Getters:** There are specific getters for `maxTokens` for each role (e.g., `getMainMaxTokens`). We will need to update these.
+- **`getParametersForRole`:** This function already exists and is a good candidate for returning the new `maxInputTokens` and `maxOutputTokens`.
+
+Here's the refined plan:
+
+**Phase 1: Configuration and Data Structures**
+
+1.  **Update `supported-models.json`:**
+
+    - For each model entry in `supported-models.json`, we need to add `maxInputTokens` and `maxOutputTokens` fields. These should reflect the _absolute maximums_ for that specific model.
+    - Example entry change:
+
+      ```json
+      // Before
+      {
+          "id": "claude-3-7-sonnet-20250219",
+          "name": "Claude 3.7 Sonnet (Preview)",
+          "context_window": 200000, // This might be total context
+          "cost_per_1m_tokens": { "input": 3, "output": 15, "currency": "USD" }
+      }
+
+      // After (assuming 200k is total, and we make a reasonable split or find official numbers)
+      {
+          "id": "claude-3-7-sonnet-20250219",
+          "name": "Claude 3.7 Sonnet (Preview)",
+          "maxInputTokens": 190000, // Example
+          "maxOutputTokens": 8192,  // Example, often smaller for generation
+          "cost_per_1m_tokens": { "input": 3, "output": 15, "currency": "USD" }
+      }
+      ```
+
+    - I will need to find the official input/output token limits for the models currently in your `MODEL_MAP`. If you have this information handy, it would speed things up. Otherwise, I can make educated guesses or search for them.
+
+2.  **Update `.taskmasterconfig` (Defaults and User File):**
+    - In `scripts/modules/config-manager.js`, modify the `DEFAULTS` object. For each role (`main`, `research`, `fallback`), replace `maxTokens` with:
+      - `maxInputTokens`: A sensible default (e.g., a large portion of the model's capability, but user-configurable).
+      - `maxOutputTokens`: A sensible default for generation (e.g., 4096 or 8192).
+    - You will then need to manually update your existing `.taskmasterconfig` file to reflect this new structure. I can provide the snippet for you to paste.
+3.  **Update `config-manager.js`:**
+    - Modify `getParametersForRole(role, explicitRoot = null)`:
+      - It currently fetches `maxTokens` and `temperature`.
+      - Update it to fetch `maxInputTokens`, `maxOutputTokens`, and `temperature` from the loaded config for the given role.
+    - Remove the role-specific `getMaxTokens` functions (e.g., `getMainMaxTokens`, `getResearchMaxTokens`, `getFallbackMaxTokens`). The `getParametersForRole` will be the central way to get these.
+    - (Optional, for later validation) Consider adding a new function `getModelCapabilities(providerName, modelId)` that reads from `MODEL_MAP` to return the absolute `maxInputTokens` and `maxOutputTokens` for a given model. This would be useful for validating the user's settings in `.taskmasterconfig`.
+
+**Phase 2: Core Logic in `ai-services-unified.js`**
+
+1.  **Token Counting (`_unifiedServiceRunner`):**
+
+    - This is the most complex part. We need a reliable way to count tokens for the prompts.
+      - **Strategy 1 (Ideal):** Leverage Vercel AI SDK. The SDK might provide a way to get a tokenizer for the active model or a utility function. We'll need to investigate its capabilities.
+      - **Strategy 2 (Fallback):** Use a library like `tiktoken` for models compatible with OpenAI's tokenization (many are, including some Anthropic models). For other models, we might need provider-specific tokenizers or make estimations (less ideal).
+      - **Initial Approach:** Let's try to find a Vercel AI SDK utility first. If not, we'll start with `tiktoken` as a common case and acknowledge that other models might need specific handling later.
+    - The function `_unifiedServiceRunner` will call this token counting utility:
+
+      ```javascript
+      // Placeholder for token counting
+      function countTokens(text, modelId /* or providerName */) {
+      	// ... implementation using SDK or library ...
+      	// This is a simplification; actual tokenization is model-specific.
+      	// For now, a rough estimate might be (text.length / 4) as a placeholder
+      	// if a proper tokenizer isn't immediately available.
+      	if (!text) return 0;
+      	return Math.ceil(text.length / 3.5); // Very rough general estimate
+      }
+
+      const promptTokens = countTokens(systemPrompt) + countTokens(prompt);
+      ```
+
+2.  **Dynamic Output Token Calculation & Validation (`_unifiedServiceRunner`):**
+
+    - Fetch parameters using the updated `getParametersForRole` from `config-manager.js`:
+      ```javascript
+      const roleParams = getParametersForRole(
+      	currentRole,
+      	effectiveProjectRoot
+      );
+      // roleParams will now contain { maxInputTokens, maxOutputTokens, temperature }
+      ```
+    - Fetch model's absolute limits from `MODEL_MAP` (we'll need a helper in `config-manager.js` or do it directly in `ai-services-unified.js` for now):
+      ```javascript
+      // Simplified; ideally use a robust getter from config-manager
+      const modelInfo = MODEL_MAP[providerName?.toLowerCase()]?.find(
+      	(m) => m.id === modelId
+      );
+      const modelAbsoluteMaxInput = modelInfo?.maxInputTokens || Infinity;
+      const modelAbsoluteMaxOutput =
+      	modelInfo?.maxOutputTokens || roleParams.maxOutputTokens; // Fallback to configured if not in map
+      ```
+    - **Input Validation:**
+      ```javascript
+      if (promptTokens > roleParams.maxInputTokens) {
+      	throw new Error(
+      		`Prompt (${promptTokens} tokens) exceeds configured max input tokens (${roleParams.maxInputTokens}) for role '${currentRole}'.`
+      	);
+      }
+      if (promptTokens > modelAbsoluteMaxInput) {
+      	throw new Error(
+      		`Prompt (${promptTokens} tokens) exceeds model's absolute max input tokens (${modelAbsoluteMaxInput}) for ${modelId}.`
+      	);
+      }
+      ```
+    - **API Call Parameter (`max_tokens` for generation):**
+      The `max_tokens` parameter passed to the provider's API call should be `roleParams.maxOutputTokens`. We must also ensure this doesn't exceed the model's absolute output capability.
+
+      ```javascript
+      const apiMaxOutputTokens = Math.min(
+      	roleParams.maxOutputTokens,
+      	modelAbsoluteMaxOutput
+      );
+
+      const callParams = {
+      	apiKey,
+      	modelId,
+      	// Use apiMaxOutputTokens for the actual API call
+      	maxTokens: apiMaxOutputTokens, // This usually means max tokens to GENERATE
+      	temperature: roleParams.temperature,
+      	messages,
+      	baseUrl,
+      	...(serviceType === 'generateObject' && { schema, objectName }),
+      	...restApiParams
+      };
+      ```
+
+3.  **Update `logAiUsage`:**
+    - The cost calculation in `logAiUsage` seems correct as it already uses `inputCost` and `outputCost` per 1M tokens. This part should remain compatible.
+
+**Next Steps:**
+
+1.  **Modify `supported-models.json`:** I need the content of this file to propose the new `maxInputTokens` and `maxOutputTokens` fields. Please provide it.
+2.  **Decide on Tokenizer Strategy:** What are your thoughts on the token counting? Are you aware of any utilities within Vercel AI SDK for this, or should we plan to integrate `tiktoken` initially?
+
+Once I have the content of `supported-models.json`, I can draft the changes for it and then proceed to `config-manager.js` and `.taskmasterconfig`.
+
+```json
+        // Before
+        {
+            "id": "claude-3-7-sonnet-20250219",
+            "name": "Claude 3.7 Sonnet (Preview)",
+            "context_window": 200000, // This might be total context
+            "cost_per_1m_tokens": { "input": 3, "output": 15, "currency": "USD" }
+        }
+
+        // After (assuming 200k is total, and we make a reasonable split or find official numbers)
+        {
+            "id": "claude-3-7-sonnet-20250219",
+            "name": "Claude 3.7 Sonnet (Preview)",
+            "maxInputTokens": 190000, // Example
+            "maxOutputTokens": 8192,  // Example, often smaller for generation
+            "cost_per_1m_tokens": { "input": 3, "output": 15, "currency": "USD" }
+        }
+```
+
+```javascript
+// Placeholder for token counting
+function countTokens(text, modelId /* or providerName */) {
+	// ... implementation using SDK or library ...
+	// This is a simplification; actual tokenization is model-specific.
+	// For now, a rough estimate might be (text.length / 4) as a placeholder
+	// if a proper tokenizer isn't immediately available.
+	if (!text) return 0;
+	return Math.ceil(text.length / 3.5); // Very rough general estimate
+}
+
+const promptTokens = countTokens(systemPrompt) + countTokens(prompt);
+```
+
+```javascript
+const roleParams = getParametersForRole(currentRole, effectiveProjectRoot);
+// roleParams will now contain { maxInputTokens, maxOutputTokens, temperature }
+```
+
+```javascript
+// Simplified; ideally use a robust getter from config-manager
+const modelInfo = MODEL_MAP[providerName?.toLowerCase()]?.find(
+	(m) => m.id === modelId
+);
+const modelAbsoluteMaxInput = modelInfo?.maxInputTokens || Infinity;
+const modelAbsoluteMaxOutput =
+	modelInfo?.maxOutputTokens || roleParams.maxOutputTokens; // Fallback to configured if not in map
+```
+
+```javascript
+if (promptTokens > roleParams.maxInputTokens) {
+	throw new Error(
+		`Prompt (${promptTokens} tokens) exceeds configured max input tokens (${roleParams.maxInputTokens}) for role '${currentRole}'.`
+	);
+}
+if (promptTokens > modelAbsoluteMaxInput) {
+	throw new Error(
+		`Prompt (${promptTokens} tokens) exceeds model's absolute max input tokens (${modelAbsoluteMaxInput}) for ${modelId}.`
+	);
+}
+```
+
+```javascript
+const apiMaxOutputTokens = Math.min(
+	roleParams.maxOutputTokens,
+	modelAbsoluteMaxOutput
+);
+
+const callParams = {
+	apiKey,
+	modelId,
+	// Use apiMaxOutputTokens for the actual API call
+	maxTokens: apiMaxOutputTokens, // This usually means max tokens to GENERATE
+	temperature: roleParams.temperature,
+	messages,
+	baseUrl,
+	...(serviceType === 'generateObject' && { schema, objectName }),
+	...restApiParams
+};
+```
+
+Okay, I have the contents of `supported-models.json`.
+
+It seems many models have a `max_tokens` field, which I assume is the _total context window_. Some don't have it, and for others (like OpenAI `gpt-4o`), the listed `max_tokens` (16384) is known to be its _output_ token limit when using the Chat Completions API, while the context window is much larger (128k). This highlights the complexity: `max_tokens` in `supported-models.json` is used inconsistently.
+
+**Revised Plan for `supported-models.json` and Token Definitions:**
+
+To bring clarity, we'll introduce two new fields and ensure their meaning is consistent:
+
+- `contextWindowTokens`: The total number of tokens the model can process (input + output). This would replace the current ambiguous `max_tokens`.
+- `maxOutputTokens`: The maximum number of tokens the model can _generate_ in a single response. This is often smaller than the total context window, especially for larger models.
+
+If a model _only_ specifies a total context window, we'll have to make a reasonable assumption for `maxOutputTokens` (e.g., 4096 or 8192, or a fraction of the total context window). If it only specifies an output token limit (like some OpenAI models in certain API modes), we'll need to find its total context window.
+
+**Updated `supported-models.json` Structure (Example):**
+
+```json
+// For a model like Anthropic Claude 3.7 Sonnet (Preview)
+{
+    "id": "claude-3-7-sonnet-20250219",
+    "swe_score": 0.623,
+    "cost_per_1m_tokens": { "input": 3.0, "output": 15.0 },
+    "allowed_roles": ["main", "fallback"],
+    "contextWindowTokens": 200000, // From Anthropic's documentation
+    "maxOutputTokens": 8192     // Anthropic default, user can override in .taskmasterconfig
+}
+
+// For a model like OpenAI GPT-4o
+{
+    "id": "gpt-4o",
+    "swe_score": 0.332,
+    "cost_per_1m_tokens": { "input": 2.5, "output": 10.0 },
+    "allowed_roles": ["main", "fallback"],
+    "contextWindowTokens": 128000, // Official context window
+    "maxOutputTokens": 16384    // Max output for chat completions is 16k for gpt-4o (used to be 4k/8k for older gpt-4)
+                                // but the model card mentions 128k total. The API call parameter for `max_tokens` sets this output cap.
+}
+```
+
+I will proceed to generate the updated `supported-models.json` content. This will be a significant change. I will make my best effort to find the correct `contextWindowTokens` and `maxOutputTokens` for each model. If official numbers are ambiguous or not readily available, I'll use sensible defaults and add a comment.
+
+**Regarding Tokenizer Strategy:**
+
+- **Vercel AI SDK:** The `ai` package (Vercel AI SDK) itself is a lightweight wrapper. Tokenization is usually handled by the underlying provider-specific SDKs (e.g., `@anthropic-ai/sdk`, `openai`). The Vercel SDK doesn't provide a universal tokenizer.
+- **Provider SDKs:**
+  - `@anthropic-ai/sdk`: Does not expose a public tokenizer directly. Anthropic recommends counting based on their guidelines (roughly 3.5 chars/token for English).
+  - `openai` (for Node.js): The `gpt-3-encoder` or `tiktoken` libraries are commonly used. `tiktoken` is more current.
+- **`tiktoken`:** This is a good general-purpose library for OpenAI models and those that use compatible tokenization (many models fine-tuned from Llama, etc., might be close). It supports various encodings.
+- **Recommendation:**
+  1.  Start by integrating `tiktoken`. We can select the encoding based on the provider or even specific model if needed (e.g., `cl100k_base` for gpt-4, gpt-3.5-turbo, DALL-E models).
+  2.  For providers where `tiktoken` is not accurate (e.g., Google's Gemini, Perplexity if they have proprietary tokenizers), we might have to rely on character-based estimations (e.g., `length / N`) as a rougher guide or investigate if their specific SDKs offer token counting.
+  3.  The Vercel AI SDK's `experimental_streamObject` and other functions _might_ internally handle some aspects of token counting for request preparation, but we need explicit counting for our logic _before_ the call.
+
+For now, let's assume we'll add a `countTokens` utility that uses `tiktoken` for OpenAI and Anthropic (as Anthropic's guidance is character-based but `cl100k_base` is often a decent proxy for their tokenization for rough estimates, though not perfect), and a character-based fallback for others.
+
+I will now generate the proposed changes for `scripts/modules/supported-models.json`. This will be a large diff.
+
+After this, we'll move to:
+
+1.  Updating `.taskmasterconfig` defaults in `config-manager.js` and providing you the snippet for your user file.
+2.  Updating `config-manager.js` getters.
+3.  Implementing the logic in `ai-services-unified.js`.
+
+```json
+// For a model like Anthropic Claude 3.7 Sonnet (Preview)
+{
+    "id": "claude-3-7-sonnet-20250219",
+    "swe_score": 0.623,
+    "cost_per_1m_tokens": { "input": 3.0, "output": 15.0 },
+    "allowed_roles": ["main", "fallback"],
+    "contextWindowTokens": 200000, // From Anthropic's documentation
+    "maxOutputTokens": 8192     // Anthropic default, user can override in .taskmasterconfig
+}
+
+// For a model like OpenAI GPT-4o
+{
+    "id": "gpt-4o",
+    "swe_score": 0.332,
+    "cost_per_1m_tokens": { "input": 2.5, "output": 10.0 },
+    "allowed_roles": ["main", "fallback"],
+    "contextWindowTokens": 128000, // Official context window
+    "maxOutputTokens": 16384    // Max output for chat completions is 16k for gpt-4o (used to be 4k/8k for older gpt-4)
+                                // but the model card mentions 128k total. The API call parameter for `max_tokens` sets this output cap.
+}
+```
+
+```json
+// For a model like Anthropic Claude 3.7 Sonnet (Preview)
+{
+    "id": "claude-3-7-sonnet-20250219",
+    "swe_score": 0.623,
+    "cost_per_1m_tokens": { "input": 3.0, "output": 15.0 },
+    "allowed_roles": ["main", "fallback"],
+    "contextWindowTokens": 200000, // From Anthropic's documentation
+    "maxOutputTokens": 8192     // Anthropic default, user can override in .taskmasterconfig
+}
+
+// For a model like OpenAI GPT-4o
+{
+    "id": "gpt-4o",
+    "swe_score": 0.332,
+    "cost_per_1m_tokens": { "input": 2.5, "output": 10.0 },
+    "allowed_roles": ["main", "fallback"],
+    "contextWindowTokens": 128000, // Official context window
+    "maxOutputTokens": 16384    // Max output for chat completions is 16k for gpt-4o (used to be 4k/8k for older gpt-4)
+                                // but the model card mentions 128k total. The API call parameter for `max_tokens` sets this output cap.
+}
+```

docs/README.md

@@ -9,7 +9,7 @@ Welcome to the Task Master documentation. Use the links below to navigate to the
 
 ## Reference
 
-- [Command Reference](command-reference.md) - Complete list of all available commands
+- [Command Reference](command-reference.md) - Complete list of all available commands (including research and multi-task viewing)
 - [Task Structure](task-structure.md) - Understanding the task format and features
 
 ## Examples & Licensing

docs/ai-client-utils-example.md

@@ -1,257 +0,0 @@
-# AI Client Utilities for MCP Tools
-
-This document provides examples of how to use the new AI client utilities with AsyncOperationManager in MCP tools.
-
-## Basic Usage with Direct Functions
-
-```javascript
-// In your direct function implementation:
-import {
-	getAnthropicClientForMCP,
-	getModelConfig,
-	handleClaudeError
-} from '../utils/ai-client-utils.js';
-
-export async function someAiOperationDirect(args, log, context) {
-	try {
-		// Initialize Anthropic client with session from context
-		const client = getAnthropicClientForMCP(context.session, log);
-
-		// Get model configuration with defaults or session overrides
-		const modelConfig = getModelConfig(context.session);
-
-		// Make API call with proper error handling
-		try {
-			const response = await client.messages.create({
-				model: modelConfig.model,
-				max_tokens: modelConfig.maxTokens,
-				temperature: modelConfig.temperature,
-				messages: [{ role: 'user', content: 'Your prompt here' }]
-			});
-
-			return {
-				success: true,
-				data: response
-			};
-		} catch (apiError) {
-			// Use helper to get user-friendly error message
-			const friendlyMessage = handleClaudeError(apiError);
-
-			return {
-				success: false,
-				error: {
-					code: 'AI_API_ERROR',
-					message: friendlyMessage
-				}
-			};
-		}
-	} catch (error) {
-		// Handle client initialization errors
-		return {
-			success: false,
-			error: {
-				code: 'AI_CLIENT_ERROR',
-				message: error.message
-			}
-		};
-	}
-}
-```
-
-## Integration with AsyncOperationManager
-
-```javascript
-// In your MCP tool implementation:
-import {
-	AsyncOperationManager,
-	StatusCodes
-} from '../../utils/async-operation-manager.js';
-import { someAiOperationDirect } from '../../core/direct-functions/some-ai-operation.js';
-
-export async function someAiOperation(args, context) {
-	const { session, mcpLog } = context;
-	const log = mcpLog || console;
-
-	try {
-		// Create operation description
-		const operationDescription = `AI operation: ${args.someParam}`;
-
-		// Start async operation
-		const operation = AsyncOperationManager.createOperation(
-			operationDescription,
-			async (reportProgress) => {
-				try {
-					// Initial progress report
-					reportProgress({
-						progress: 0,
-						status: 'Starting AI operation...'
-					});
-
-					// Call direct function with session and progress reporting
-					const result = await someAiOperationDirect(args, log, {
-						reportProgress,
-						mcpLog: log,
-						session
-					});
-
-					// Final progress update
-					reportProgress({
-						progress: 100,
-						status: result.success ? 'Operation completed' : 'Operation failed',
-						result: result.data,
-						error: result.error
-					});
-
-					return result;
-				} catch (error) {
-					// Handle errors in the operation
-					reportProgress({
-						progress: 100,
-						status: 'Operation failed',
-						error: {
-							message: error.message,
-							code: error.code || 'OPERATION_FAILED'
-						}
-					});
-					throw error;
-				}
-			}
-		);
-
-		// Return immediate response with operation ID
-		return {
-			status: StatusCodes.ACCEPTED,
-			body: {
-				success: true,
-				message: 'Operation started',
-				operationId: operation.id
-			}
-		};
-	} catch (error) {
-		// Handle errors in the MCP tool
-		log.error(`Error in someAiOperation: ${error.message}`);
-		return {
-			status: StatusCodes.INTERNAL_SERVER_ERROR,
-			body: {
-				success: false,
-				error: {
-					code: 'OPERATION_FAILED',
-					message: error.message
-				}
-			}
-		};
-	}
-}
-```
-
-## Using Research Capabilities with Perplexity
-
-```javascript
-// In your direct function:
-import {
-	getPerplexityClientForMCP,
-	getBestAvailableAIModel
-} from '../utils/ai-client-utils.js';
-
-export async function researchOperationDirect(args, log, context) {
-	try {
-		// Get the best AI model for this operation based on needs
-		const { type, client } = await getBestAvailableAIModel(
-			context.session,
-			{ requiresResearch: true },
-			log
-		);
-
-		// Report which model we're using
-		if (context.reportProgress) {
-			await context.reportProgress({
-				progress: 10,
-				status: `Using ${type} model for research...`
-			});
-		}
-
-		// Make API call based on the model type
-		if (type === 'perplexity') {
-			// Call Perplexity
-			const response = await client.chat.completions.create({
-				model: context.session?.env?.PERPLEXITY_MODEL || 'sonar-medium-online',
-				messages: [{ role: 'user', content: args.researchQuery }],
-				temperature: 0.1
-			});
-
-			return {
-				success: true,
-				data: response.choices[0].message.content
-			};
-		} else {
-			// Call Claude as fallback
-			// (Implementation depends on specific needs)
-			// ...
-		}
-	} catch (error) {
-		// Handle errors
-		return {
-			success: false,
-			error: {
-				code: 'RESEARCH_ERROR',
-				message: error.message
-			}
-		};
-	}
-}
-```
-
-## Model Configuration Override Example
-
-```javascript
-// In your direct function:
-import { getModelConfig } from '../utils/ai-client-utils.js';
-
-// Using custom defaults for a specific operation
-const operationDefaults = {
-	model: 'claude-3-haiku-20240307', // Faster, smaller model
-	maxTokens: 1000, // Lower token limit
-	temperature: 0.2 // Lower temperature for more deterministic output
-};
-
-// Get model config with operation-specific defaults
-const modelConfig = getModelConfig(context.session, operationDefaults);
-
-// Now use modelConfig in your API calls
-const response = await client.messages.create({
-	model: modelConfig.model,
-	max_tokens: modelConfig.maxTokens,
-	temperature: modelConfig.temperature
-	// Other parameters...
-});
-```
-
-## Best Practices
-
-1. **Error Handling**:
-
-   - Always use try/catch blocks around both client initialization and API calls
-   - Use `handleClaudeError` to provide user-friendly error messages
-   - Return standardized error objects with code and message
-
-2. **Progress Reporting**:
-
-   - Report progress at key points (starting, processing, completing)
-   - Include meaningful status messages
-   - Include error details in progress reports when failures occur
-
-3. **Session Handling**:
-
-   - Always pass the session from the context to the AI client getters
-   - Use `getModelConfig` to respect user settings from session
-
-4. **Model Selection**:
-
-   - Use `getBestAvailableAIModel` when you need to select between different models
-   - Set `requiresResearch: true` when you need Perplexity capabilities
-
-5. **AsyncOperationManager Integration**:
-   - Create descriptive operation names
-   - Handle all errors within the operation function
-   - Return standardized results from direct functions
-   - Return immediate responses with operation IDs

docs/command-reference.md

@@ -43,15 +43,36 @@ task-master show <id>
 # or
 task-master show --id=<id>
 
+# View multiple tasks with comma-separated IDs
+task-master show 1,3,5
+task-master show 44,55
+
 # View a specific subtask (e.g., subtask 2 of task 1)
 task-master show 1.2
+
+# Mix parent tasks and subtasks
+task-master show 44,44.1,55,55.2
 ```
 
+**Multiple Task Display:**
+
+- **Single ID**: Shows detailed task view with full implementation details
+- **Multiple IDs**: Shows compact summary table with interactive action menu
+- **Action Menu**: Provides copy-paste ready commands for batch operations:
+  - Mark all as in-progress/done
+  - Show next available task
+  - Expand all tasks (generate subtasks)
+  - View dependency relationships
+  - Generate task files
+
 ## Update Tasks
 
 ```bash
 # Update tasks from a specific ID and provide context
 task-master update --from=<id> --prompt="<prompt>"
+
+# Update tasks using research role
+task-master update --from=<id> --prompt="<prompt>" --research
 ```
 
 ## Update a Specific Task
@@ -60,7 +81,7 @@ task-master update --from=<id> --prompt="<prompt>"
 # Update a single task by ID with new information
 task-master update-task --id=<id> --prompt="<prompt>"
 
-# Use research-backed updates with Perplexity AI
+# Use research-backed updates
 task-master update-task --id=<id> --prompt="<prompt>" --research
 ```
 
@@ -73,7 +94,7 @@ task-master update-subtask --id=<parentId.subtaskId> --prompt="<prompt>"
 # Example: Add details about API rate limiting to subtask 2 of task 5
 task-master update-subtask --id=5.2 --prompt="Add rate limiting of 100 requests per minute"
 
-# Use research-backed updates with Perplexity AI
+# Use research-backed updates
 task-master update-subtask --id=<parentId.subtaskId> --prompt="<prompt>" --research
 ```
 
@@ -184,12 +205,41 @@ task-master validate-dependencies
 task-master fix-dependencies
 ```
 
+## Move Tasks
+
+```bash
+# Move a task or subtask to a new position
+task-master move --from=<id> --to=<id>
+
+# Examples:
+# Move task to become a subtask
+task-master move --from=5 --to=7
+
+# Move subtask to become a standalone task
+task-master move --from=5.2 --to=7
+
+# Move subtask to a different parent
+task-master move --from=5.2 --to=7.3
+
+# Reorder subtasks within the same parent
+task-master move --from=5.2 --to=5.4
+
+# Move a task to a new ID position (creates placeholder if doesn't exist)
+task-master move --from=5 --to=25
+
+# Move multiple tasks at once (must have the same number of IDs)
+task-master move --from=10,11,12 --to=16,17,18
+```
+
 ## Add a New Task
 
 ```bash
-# Add a new task using AI
+# Add a new task using AI (main role)
 task-master add-task --prompt="Description of the new task"
 
+# Add a new task using AI (research role)
+task-master add-task --prompt="Description of the new task" --research
+
 # Add a task with dependencies
 task-master add-task --prompt="Description" --dependencies=1,2,3
 
@@ -197,9 +247,152 @@ task-master add-task --prompt="Description" --dependencies=1,2,3
 task-master add-task --prompt="Description" --priority=high
 ```
 
+## Tag Management
+
+Task Master supports tagged task lists for multi-context task management. Each tag represents a separate, isolated context for tasks.
+
+```bash
+# List all available tags with task counts and status
+task-master tags
+
+# List tags with detailed metadata
+task-master tags --show-metadata
+
+# Create a new empty tag
+task-master add-tag <tag-name>
+
+# Create a new tag with a description
+task-master add-tag <tag-name> --description="Feature development tasks"
+
+# Create a tag based on current git branch name
+task-master add-tag --from-branch
+
+# Create a new tag by copying tasks from the current tag
+task-master add-tag <new-tag> --copy-from-current
+
+# Create a new tag by copying from a specific tag
+task-master add-tag <new-tag> --copy-from=<source-tag>
+
+# Switch to a different tag context
+task-master use-tag <tag-name>
+
+# Rename an existing tag
+task-master rename-tag <old-name> <new-name>
+
+# Copy an entire tag to create a new one
+task-master copy-tag <source-tag> <target-tag>
+
+# Copy a tag with a description
+task-master copy-tag <source-tag> <target-tag> --description="Copied for testing"
+
+# Delete a tag and all its tasks (with confirmation)
+task-master delete-tag <tag-name>
+
+# Delete a tag without confirmation prompt
+task-master delete-tag <tag-name> --yes
+```
+
+**Tag Context:**
+- All task operations (list, show, add, update, etc.) work within the currently active tag
+- Use `--tag=<name>` flag with most commands to operate on a specific tag context
+- Tags provide complete isolation - tasks in different tags don't interfere with each other
+
 ## Initialize a Project
 
 ```bash
 # Initialize a new project with Task Master structure
 task-master init
 ```
+
+## Configure AI Models
+
+```bash
+# View current AI model configuration and API key status
+task-master models
+
+# Set the primary model for generation/updates (provider inferred if known)
+task-master models --set-main=claude-3-opus-20240229
+
+# Set the research model
+task-master models --set-research=sonar-pro
+
+# Set the fallback model
+task-master models --set-fallback=claude-3-haiku-20240307
+
+# Set a custom Ollama model for the main role
+task-master models --set-main=my-local-llama --ollama
+
+# Set a custom OpenRouter model for the research role
+task-master models --set-research=google/gemini-pro --openrouter
+
+# Run interactive setup to configure models, including custom ones
+task-master models --setup
+```
+
+Configuration is stored in `.taskmaster/config.json` in your project root (legacy `.taskmasterconfig` files are automatically migrated). API keys are still managed via `.env` or MCP configuration. Use `task-master models` without flags to see available built-in models. Use `--setup` for a guided experience.
+
+State is stored in `.taskmaster/state.json` in your project root. It maintains important information like the current tag. Do not manually edit this file.
+
+## Research Fresh Information
+
+```bash
+# Perform AI-powered research with fresh, up-to-date information
+task-master research "What are the latest best practices for JWT authentication in Node.js?"
+
+# Research with specific task context
+task-master research "How to implement OAuth 2.0?" --id=15,16
+
+# Research with file context for code-aware suggestions
+task-master research "How can I optimize this API implementation?" --files=src/api.js,src/auth.js
+
+# Research with custom context and project tree
+task-master research "Best practices for error handling" --context="We're using Express.js" --tree
+
+# Research with different detail levels
+task-master research "React Query v5 migration guide" --detail=high
+
+# Disable interactive follow-up questions (useful for scripting, is the default for MCP)
+# Use a custom tasks file location
+task-master research "How to implement this feature?" --file=custom-tasks.json
+
+# Research within a specific tag context
+task-master research "Database optimization strategies" --tag=feature-branch
+
+# Save research conversation to .taskmaster/docs/research/ directory (for later reference)
+task-master research "Database optimization techniques" --save-file
+
+# Save key findings directly to a task or subtask (recommended for actionable insights)
+task-master research "How to implement OAuth?" --save-to=15
+task-master research "API optimization strategies" --save-to=15.2
+
+# Combine context gathering with automatic saving of findings
+task-master research "Best practices for this implementation" --id=15,16 --files=src/auth.js --save-to=15.3
+```
+
+**The research command is a powerful exploration tool that provides:**
+
+- **Fresh information beyond AI knowledge cutoffs**
+- **Project-aware context** from your tasks and files
+- **Automatic task discovery** using fuzzy search
+- **Multiple detail levels** (low, medium, high)
+- **Token counting and cost tracking**
+- **Interactive follow-up questions** for deep exploration
+- **Flexible save options** (commit findings to tasks or preserve conversations)
+- **Iterative discovery** through continuous questioning and refinement
+
+**Use research frequently to:**
+
+- Get current best practices before implementing features
+- Research new technologies and libraries
+- Find solutions to complex problems
+- Validate your implementation approaches
+- Stay updated with latest security recommendations
+
+**Interactive Features (CLI):**
+
+- **Follow-up questions** that maintain conversation context and allow deep exploration
+- **Save menu** during or after research with flexible options:
+  - **Save to task/subtask**: Commit key findings and actionable insights (recommended)
+  - **Save to file**: Preserve entire conversation for later reference if needed
+  - **Continue exploring**: Ask more follow-up questions to dig deeper
+- **Automatic file naming** with timestamps and query-based slugs when saving conversations

docs/configuration.md

@@ -1,53 +1,153 @@
 # Configuration
 
-Task Master can be configured through environment variables in a `.env` file at the root of your project.
+Taskmaster uses two primary methods for configuration:
 
-## Required Configuration
+1.  **`.taskmaster/config.json` File (Recommended - New Structure)**
 
-- `ANTHROPIC_API_KEY`: Your Anthropic API key for Claude (Example: `ANTHROPIC_API_KEY=sk-ant-api03-...`)
+    - This JSON file stores most configuration settings, including AI model selections, parameters, logging levels, and project defaults.
+    - **Location:** This file is created in the `.taskmaster/` directory when you run the `task-master models --setup` interactive setup or initialize a new project with `task-master init`.
+    - **Migration:** Existing projects with `.taskmasterconfig` in the root will continue to work, but should be migrated to the new structure using `task-master migrate`.
+    - **Management:** Use the `task-master models --setup` command (or `models` MCP tool) to interactively create and manage this file. You can also set specific models directly using `task-master models --set-<role>=<model_id>`, adding `--ollama` or `--openrouter` flags for custom models. Manual editing is possible but not recommended unless you understand the structure.
+    - **Example Structure:**
+      ```json
+      {
+        "models": {
+          "main": {
+            "provider": "anthropic",
+            "modelId": "claude-3-7-sonnet-20250219",
+            "maxTokens": 64000,
+            "temperature": 0.2,
+            "baseURL": "https://api.anthropic.com/v1"
+          },
+          "research": {
+            "provider": "perplexity",
+            "modelId": "sonar-pro",
+            "maxTokens": 8700,
+            "temperature": 0.1,
+            "baseURL": "https://api.perplexity.ai/v1"
+          },
+          "fallback": {
+            "provider": "anthropic",
+            "modelId": "claude-3-5-sonnet",
+            "maxTokens": 64000,
+            "temperature": 0.2
+          }
+        },
+        "global": {
+          "logLevel": "info",
+          "debug": false,
+          "defaultSubtasks": 5,
+          "defaultPriority": "medium",
+          "defaultTag": "master",
+          "projectName": "Your Project Name",
+          "ollamaBaseURL": "http://localhost:11434/api",
+          "azureBaseURL": "https://your-endpoint.azure.com/",
+          "vertexProjectId": "your-gcp-project-id",
+          "vertexLocation": "us-central1"
+        }
+      }
+      ```
 
-## Optional Configuration
+2.  **Legacy `.taskmasterconfig` File (Backward Compatibility)**
 
-- `MODEL` (Default: `"claude-3-7-sonnet-20250219"`): Claude model to use (Example: `MODEL=claude-3-opus-20240229`)
-- `MAX_TOKENS` (Default: `"4000"`): Maximum tokens for responses (Example: `MAX_TOKENS=8000`)
-- `TEMPERATURE` (Default: `"0.7"`): Temperature for model responses (Example: `TEMPERATURE=0.5`)
-- `DEBUG` (Default: `"false"`): Enable debug logging (Example: `DEBUG=true`)
-- `LOG_LEVEL` (Default: `"info"`): Console output level (Example: `LOG_LEVEL=debug`)
-- `DEFAULT_SUBTASKS` (Default: `"3"`): Default subtask count (Example: `DEFAULT_SUBTASKS=5`)
-- `DEFAULT_PRIORITY` (Default: `"medium"`): Default priority (Example: `DEFAULT_PRIORITY=high`)
-- `PROJECT_NAME` (Default: `"MCP SaaS MVP"`): Project name in metadata (Example: `PROJECT_NAME=My Awesome Project`)
-- `PROJECT_VERSION` (Default: `"1.0.0"`): Version in metadata (Example: `PROJECT_VERSION=2.1.0`)
-- `PERPLEXITY_API_KEY`: For research-backed features (Example: `PERPLEXITY_API_KEY=pplx-...`)
-- `PERPLEXITY_MODEL` (Default: `"sonar-medium-online"`): Perplexity model (Example: `PERPLEXITY_MODEL=sonar-large-online`)
+    - For projects that haven't migrated to the new structure yet.
+    - **Location:** Project root directory.
+    - **Migration:** Use `task-master migrate` to move this to `.taskmaster/config.json`.
+    - **Deprecation:** While still supported, you'll see warnings encouraging migration to the new structure.
 
-## Example .env File
+## Environment Variables (`.env` file or MCP `env` block - For API Keys Only)
+
+- Used **exclusively** for sensitive API keys and specific endpoint URLs.
+- **Location:**
+  - For CLI usage: Create a `.env` file in your project root.
+  - For MCP/Cursor usage: Configure keys in the `env` section of your `.cursor/mcp.json` file.
+- **Required API Keys (Depending on configured providers):**
+  - `ANTHROPIC_API_KEY`: Your Anthropic API key.
+  - `PERPLEXITY_API_KEY`: Your Perplexity API key.
+  - `OPENAI_API_KEY`: Your OpenAI API key.
+  - `GOOGLE_API_KEY`: Your Google API key (also used for Vertex AI provider).
+  - `MISTRAL_API_KEY`: Your Mistral API key.
+  - `AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key (also requires `AZURE_OPENAI_ENDPOINT`).
+  - `OPENROUTER_API_KEY`: Your OpenRouter API key.
+  - `XAI_API_KEY`: Your X-AI API key.
+- **Optional Endpoint Overrides:**
+  - **Per-role `baseURL` in `.taskmasterconfig`:** You can add a `baseURL` property to any model role (`main`, `research`, `fallback`) to override the default API endpoint for that provider. If omitted, the provider's standard endpoint is used.
+  - `AZURE_OPENAI_ENDPOINT`: Required if using Azure OpenAI key (can also be set as `baseURL` for the Azure model role).
+  - `OLLAMA_BASE_URL`: Override the default Ollama API URL (Default: `http://localhost:11434/api`).
+  - `VERTEX_PROJECT_ID`: Your Google Cloud project ID for Vertex AI. Required when using the 'vertex' provider.
+  - `VERTEX_LOCATION`: Google Cloud region for Vertex AI (e.g., 'us-central1'). Default is 'us-central1'.
+  - `GOOGLE_APPLICATION_CREDENTIALS`: Path to service account credentials JSON file for Google Cloud auth (alternative to API key for Vertex AI).
+
+**Important:** Settings like model ID selections (`main`, `research`, `fallback`), `maxTokens`, `temperature`, `logLevel`, `defaultSubtasks`, `defaultPriority`, and `projectName` are **managed in `.taskmaster/config.json`** (or `.taskmasterconfig` for unmigrated projects), not environment variables.
+
+## Tagged Task Lists Configuration (v0.17+)
+
+Taskmaster includes a tagged task lists system for multi-context task management.
+
+### Global Tag Settings
+
+```json
+"global": {
+  "defaultTag": "master"
+}
+```
+
+- **`defaultTag`** (string): Default tag context for new operations (default: "master")
+
+### Git Integration
+
+Task Master provides manual git integration through the `--from-branch` option:
+
+- **Manual Tag Creation**: Use `task-master add-tag --from-branch` to create a tag based on your current git branch name
+- **User Control**: No automatic tag switching - you control when and how tags are created
+- **Flexible Workflow**: Supports any git workflow without imposing rigid branch-tag mappings
+
+## State Management File
+
+Taskmaster uses `.taskmaster/state.json` to track tagged system runtime information:
+
+```json
+{
+  "currentTag": "master",
+  "lastSwitched": "2025-06-11T20:26:12.598Z",
+  "migrationNoticeShown": true
+}
+```
+
+- **`currentTag`**: Currently active tag context
+- **`lastSwitched`**: Timestamp of last tag switch
+- **`migrationNoticeShown`**: Whether migration notice has been displayed
+
+This file is automatically created during tagged system migration and should not be manually edited.
+
+## Example `.env` File (for API Keys)
 
 ```
-# Required
-ANTHROPIC_API_KEY=sk-ant-api03-your-api-key
+# Required API keys for providers configured in .taskmaster/config.json
+ANTHROPIC_API_KEY=sk-ant-api03-your-key-here
+PERPLEXITY_API_KEY=pplx-your-key-here
+# OPENAI_API_KEY=sk-your-key-here
+# GOOGLE_API_KEY=AIzaSy...
+# etc.
 
-# Optional - Claude Configuration
-MODEL=claude-3-7-sonnet-20250219
-MAX_TOKENS=4000
-TEMPERATURE=0.7
+# Optional Endpoint Overrides
+# AZURE_OPENAI_ENDPOINT=https://your-azure-endpoint.openai.azure.com/
+# OLLAMA_BASE_URL=http://custom-ollama-host:11434/api
 
-# Optional - Perplexity API for Research
-PERPLEXITY_API_KEY=pplx-your-api-key
-PERPLEXITY_MODEL=sonar-medium-online
-
-# Optional - Project Info
-PROJECT_NAME=My Project
-PROJECT_VERSION=1.0.0
-
-# Optional - Application Configuration
-DEFAULT_SUBTASKS=3
-DEFAULT_PRIORITY=medium
-DEBUG=false
-LOG_LEVEL=info
+# Google Vertex AI Configuration (Required if using 'vertex' provider)
+# VERTEX_PROJECT_ID=your-gcp-project-id
+# VERTEX_LOCATION=us-central1
+# GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account-credentials.json
 ```
 
 ## Troubleshooting
 
+### Configuration Errors
+
+- If Task Master reports errors about missing configuration or cannot find the config file, run `task-master models --setup` in your project root to create or repair the file.
+- For new projects, config will be created at `.taskmaster/config.json`. For legacy projects, you may want to use `task-master migrate` to move to the new structure.
+- Ensure API keys are correctly placed in your `.env` file (for CLI) or `.cursor/mcp.json` (for MCP) and are valid for the providers selected in your config file.
+
 ### If `task-master init` doesn't respond:
 
 Try running it with Node directly:
@@ -63,3 +163,45 @@ git clone https://github.com/eyaltoledano/claude-task-master.git
 cd claude-task-master
 node scripts/init.js
 ```
+
+## Provider-Specific Configuration
+
+### Google Vertex AI Configuration
+
+Google Vertex AI is Google Cloud's enterprise AI platform and requires specific configuration:
+
+1. **Prerequisites**:
+   - A Google Cloud account with Vertex AI API enabled
+   - Either a Google API key with Vertex AI permissions OR a service account with appropriate roles
+   - A Google Cloud project ID
+2. **Authentication Options**:
+   - **API Key**: Set the `GOOGLE_API_KEY` environment variable
+   - **Service Account**: Set `GOOGLE_APPLICATION_CREDENTIALS` to point to your service account JSON file
+3. **Required Configuration**:
+   - Set `VERTEX_PROJECT_ID` to your Google Cloud project ID
+   - Set `VERTEX_LOCATION` to your preferred Google Cloud region (default: us-central1)
+4. **Example Setup**:
+
+   ```bash
+   # In .env file
+   GOOGLE_API_KEY=AIzaSyXXXXXXXXXXXXXXXXXXXXXXXXX
+   VERTEX_PROJECT_ID=my-gcp-project-123
+   VERTEX_LOCATION=us-central1
+   ```
+
+   Or using service account:
+
+   ```bash
+   # In .env file
+   GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json
+   VERTEX_PROJECT_ID=my-gcp-project-123
+   VERTEX_LOCATION=us-central1
+   ```
+
+5. **In .taskmaster/config.json**:
+   ```json
+   "global": {
+     "vertexProjectId": "my-gcp-project-123",
+     "vertexLocation": "us-central1"
+   }
+   ```

docs/contributor-docs/testing-roo-integration.md

@@ -0,0 +1,94 @@
+# Testing Roo Integration
+
+This document provides instructions for testing the Roo integration in the Task Master package.
+
+## Running Tests
+
+To run the tests for the Roo integration:
+
+```bash
+# Run all tests
+npm test
+
+# Run only Roo integration tests
+npm test -- -t "Roo"
+
+# Run specific test file
+npm test -- tests/integration/roo-files-inclusion.test.js
+```
+
+## Manual Testing
+
+To manually verify that the Roo files are properly included in the package:
+
+1. Create a test directory:
+
+   ```bash
+   mkdir test-tm
+   cd test-tm
+   ```
+
+2. Create a package.json file:
+
+   ```bash
+   npm init -y
+   ```
+
+3. Install the task-master-ai package locally:
+
+   ```bash
+   # From the root of the claude-task-master repository
+   cd ..
+   npm pack
+   # This will create a file like task-master-ai-0.12.0.tgz
+
+   # Move back to the test directory
+   cd test-tm
+   npm install ../task-master-ai-0.12.0.tgz
+   ```
+
+4. Initialize a new Task Master project:
+
+   ```bash
+   npx task-master init --yes
+   ```
+
+5. Verify that all Roo files and directories are created:
+
+   ```bash
+   # Check that .roomodes file exists
+   ls -la | grep .roomodes
+
+   # Check that .roo directory exists and contains all mode directories
+   ls -la .roo
+   ls -la .roo/rules
+   ls -la .roo/rules-architect
+   ls -la .roo/rules-ask
+   ls -la .roo/rules-boomerang
+   ls -la .roo/rules-code
+   ls -la .roo/rules-debug
+   ls -la .roo/rules-test
+   ```
+
+## What to Look For
+
+When running the tests or performing manual verification, ensure that:
+
+1. The package includes `.roo/**` and `.roomodes` in the `files` array in package.json
+2. The `prepare-package.js` script verifies the existence of all required Roo files
+3. The `init.js` script creates all necessary .roo directories and copies .roomodes file
+4. All source files for Roo integration exist in `assets/roocode/.roo` and `assets/roocode/.roomodes`
+
+## Compatibility
+
+Ensure that the Roo integration works alongside existing Cursor functionality:
+
+1. Initialize a new project that uses both Cursor and Roo:
+
+   ```bash
+   npx task-master init --yes
+   ```
+
+2. Verify that both `.cursor` and `.roo` directories are created
+3. Verify that both `.windsurfrules` and `.roomodes` files are created
+4. Confirm that existing functionality continues to work as expected

docs/examples.md

@@ -5,7 +5,7 @@ Here are some common interactions with Cursor AI when using Task Master:
 ## Starting a new project
 
 ```
-I've just initialized a new project with Claude Task Master. I have a PRD at scripts/prd.txt.
+I've just initialized a new project with Claude Task Master. I have a PRD at .taskmaster/docs/prd.txt.
 Can you help me parse it and set up the initial tasks?
 ```
 
@@ -21,6 +21,20 @@ What's the next task I should work on? Please consider dependencies and prioriti
 I'd like to implement task 4. Can you help me understand what needs to be done and how to approach it?
 ```
 
+## Viewing multiple tasks
+
+```
+Can you show me tasks 1, 3, and 5 so I can understand their relationship?
+```
+
+```
+I need to see the status of tasks 44, 55, and their subtasks. Can you show me those?
+```
+
+```
+Show me tasks 10, 12, and 15 and give me some batch actions I can perform on them.
+```
+
 ## Managing subtasks
 
 ```
@@ -30,7 +44,7 @@ I need to regenerate the subtasks for task 3 with a different approach. Can you
 ## Handling changes
 
 ```
-We've decided to use MongoDB instead of PostgreSQL. Can you update all future tasks to reflect this change?
+I've decided to use MongoDB instead of PostgreSQL. Can you update all future tasks to reflect this change?
 ```
 
 ## Completing work
@@ -40,6 +54,34 @@ I've finished implementing the authentication system described in task 2. All te
 Please mark it as complete and tell me what I should work on next.
 ```
 
+## Reorganizing tasks
+
+```
+I think subtask 5.2 would fit better as part of task 7. Can you move it there?
+```
+
+(Agent runs: `task-master move --from=5.2 --to=7.3`)
+
+```
+Task 8 should actually be a subtask of task 4. Can you reorganize this?
+```
+
+(Agent runs: `task-master move --from=8 --to=4.1`)
+
+```
+I just merged the main branch and there's a conflict in tasks.json. My teammates created tasks 10-15 on their branch while I created tasks 10-12 on my branch. Can you help me resolve this by moving my tasks?
+```
+
+(Agent runs:
+
+```bash
+task-master move --from=10 --to=16
+task-master move --from=11 --to=17
+task-master move --from=12 --to=18
+```
+
+)
+
 ## Analyzing complexity
 
 ```
@@ -51,3 +93,166 @@ Can you analyze the complexity of our tasks to help me understand which ones nee
 ```
 Can you show me the complexity report in a more readable format?
 ```
+
+### Breaking Down Complex Tasks
+
+```
+Task 5 seems complex. Can you break it down into subtasks?
+```
+
+(Agent runs: `task-master expand --id=5`)
+
+```
+Please break down task 5 using research-backed generation.
+```
+
+(Agent runs: `task-master expand --id=5 --research`)
+
+### Updating Tasks with Research
+
+```
+We need to update task 15 based on the latest React Query v5 changes. Can you research this and update the task?
+```
+
+(Agent runs: `task-master update-task --id=15 --prompt="Update based on React Query v5 changes" --research`)
+
+### Adding Tasks with Research
+
+```
+Please add a new task to implement user profile image uploads using Cloudinary, research the best approach.
+```
+
+(Agent runs: `task-master add-task --prompt="Implement user profile image uploads using Cloudinary" --research`)
+
+## Research-Driven Development
+
+### Getting Fresh Information
+
+```
+Research the latest best practices for implementing JWT authentication in Node.js applications.
+```
+
+(Agent runs: `task-master research "Latest best practices for JWT authentication in Node.js"`)
+
+### Research with Project Context
+
+```
+I'm working on task 15 which involves API optimization. Can you research current best practices for our specific implementation?
+```
+
+(Agent runs: `task-master research "API optimization best practices" --id=15 --files=src/api.js`)
+
+### Research Before Implementation
+
+```
+Before I implement task 8 (React Query integration), can you research the latest React Query v5 patterns and any breaking changes?
+```
+
+(Agent runs: `task-master research "React Query v5 patterns and breaking changes" --id=8`)
+
+### Research and Update Pattern
+
+```
+Research the latest security recommendations for Express.js applications and update our authentication task with the findings.
+```
+
+(Agent runs:
+
+1. `task-master research "Latest Express.js security recommendations" --id=12`
+2. `task-master update-subtask --id=12.3 --prompt="Updated with latest security findings: [research results]"`)
+
+### Research for Debugging
+
+```
+I'm having issues with our WebSocket implementation in task 20. Can you research common WebSocket problems and solutions?
+```
+
+(Agent runs: `task-master research "Common WebSocket implementation problems and solutions" --id=20 --files=src/websocket.js`)
+
+### Research Technology Comparisons
+
+```
+We need to choose between Redis and Memcached for caching. Can you research the current recommendations for our use case?
+```
+
+(Agent runs: `task-master research "Redis vs Memcached 2024 comparison for session caching" --tree`)
+
+## Git Integration and Tag Management
+
+### Creating Tags for Feature Branches
+
+```
+I'm starting work on a new feature branch for user authentication. Can you create a matching task tag?
+```
+
+(Agent runs: `task-master add-tag --from-branch`)
+
+### Creating Named Tags
+
+```
+Create a new tag called 'api-v2' for our API redesign work.
+```
+
+(Agent runs: `task-master add-tag api-v2 --description="API v2 redesign tasks"`)
+
+### Switching Tag Contexts
+
+```
+Switch to the 'testing' tag so I can work on QA tasks.
+```
+
+(Agent runs: `task-master use-tag testing`)
+
+### Copying Tasks Between Tags
+
+```
+I need to copy the current tasks to a new 'hotfix' tag for urgent fixes.
+```
+
+(Agent runs: `task-master add-tag hotfix --copy-from-current --description="Urgent hotfix tasks"`)
+
+### Managing Multiple Contexts
+
+```
+Show me all available tags and their current status.
+```
+
+(Agent runs: `task-master tags --show-metadata`)
+
+### Tag Cleanup
+
+```
+I've finished the 'user-auth' feature and merged the branch. Can you clean up the tag?
+```
+
+(Agent runs: `task-master delete-tag user-auth`)
+
+### Working with Tag-Specific Tasks
+
+```
+List all tasks in the 'api-v2' tag context.
+```
+
+(Agent runs: `task-master use-tag api-v2` then `task-master list`)
+
+### Branch-Based Development Workflow
+
+```
+I'm switching to work on the 'feature/payments' branch. Can you set up the task context for this?
+```
+
+(Agent runs:
+1. `git checkout feature/payments`
+2. `task-master add-tag --from-branch --description="Payment system implementation"`
+3. `task-master list` to show tasks in the new context)
+
+### Parallel Feature Development
+
+```
+I need to work on both authentication and payment features simultaneously. How should I organize the tasks?
+```
+
+(Agent suggests and runs:
+1. `task-master add-tag auth --description="Authentication feature tasks"`
+2. `task-master add-tag payments --description="Payment system tasks"`
+3. `task-master use-tag auth` to start with authentication work)

docs/migration-guide.md

@@ -0,0 +1,235 @@
+# Migration Guide: New .taskmaster Directory Structure
+
+## Overview
+
+Task Master v0.16.0 introduces a new `.taskmaster/` directory structure to keep your project directories clean and organized. This guide explains the benefits of the new structure and how to migrate existing projects.
+
+## What's New
+
+### Before (Legacy Structure)
+
+```
+your-project/
+├── tasks/                    # Task files
+│   ├── tasks.json
+│   ├── task-1.txt
+│   └── task-2.txt
+├── scripts/                  # PRD and reports
+│   ├── prd.txt
+│   ├── example_prd.txt
+│   └── task-complexity-report.json
+├── .taskmasterconfig         # Configuration
+└── ... (your project files)
+```
+
+### After (New Structure)
+
+```
+your-project/
+├── .taskmaster/              # Consolidated Task Master files
+│   ├── config.json          # Configuration (was .taskmasterconfig)
+│   ├── tasks/               # Task files
+│   │   ├── tasks.json
+│   │   ├── task-1.txt
+│   │   └── task-2.txt
+│   ├── docs/                # Project documentation
+│   │   └── prd.txt
+│   ├── reports/             # Generated reports
+│   │   └── task-complexity-report.json
+│   └── templates/           # Example/template files
+│       └── example_prd.txt
+└── ... (your project files)
+```
+
+## Benefits of the New Structure
+
+✅ **Cleaner Project Root**: No more scattered Task Master files  
+✅ **Better Organization**: Logical separation of tasks, docs, reports, and templates  
+✅ **Hidden by Default**: `.taskmaster/` directory is hidden from most file browsers  
+✅ **Future-Proof**: Centralized location for Task Master extensions  
+✅ **Backward Compatible**: Existing projects continue to work until migrated
+
+## Migration Options
+
+### Option 1: Automatic Migration (Recommended)
+
+Task Master provides a built-in migration command that handles everything automatically:
+
+#### CLI Migration
+
+```bash
+# Dry run to see what would be migrated
+task-master migrate --dry-run
+
+# Perform the migration with backup
+task-master migrate --backup
+
+# Force migration (overwrites existing files)
+task-master migrate --force
+
+# Clean up legacy files after migration
+task-master migrate --cleanup
+```
+
+#### MCP Migration (Cursor/AI Editors)
+
+Ask your AI assistant:
+
+```
+Please migrate my Task Master project to the new .taskmaster directory structure
+```
+
+### Option 2: Manual Migration
+
+If you prefer to migrate manually:
+
+1. **Create the new directory structure:**
+
+   ```bash
+   mkdir -p .taskmaster/{tasks,docs,reports,templates}
+   ```
+
+2. **Move your files:**
+
+   ```bash
+   # Move tasks
+   mv tasks/* .taskmaster/tasks/
+
+   # Move configuration
+   mv .taskmasterconfig .taskmaster/config.json
+
+   # Move PRD and documentation
+   mv scripts/prd.txt .taskmaster/docs/
+   mv scripts/example_prd.txt .taskmaster/templates/
+
+   # Move reports (if they exist)
+   mv scripts/task-complexity-report.json .taskmaster/reports/ 2>/dev/null || true
+   ```
+
+3. **Clean up empty directories:**
+   ```bash
+   rmdir tasks scripts 2>/dev/null || true
+   ```
+
+## What Gets Migrated
+
+The migration process handles these file types:
+
+### Tasks Directory → `.taskmaster/tasks/`
+
+- `tasks.json`
+- Individual task text files (`.txt`)
+
+### Scripts Directory → Multiple Destinations
+
+- **PRD files** → `.taskmaster/docs/`
+  - `prd.txt`, `requirements.txt`, etc.
+- **Example/Template files** → `.taskmaster/templates/`
+  - `example_prd.txt`, template files
+- **Reports** → `.taskmaster/reports/`
+  - `task-complexity-report.json`
+
+### Configuration
+
+- `.taskmasterconfig` → `.taskmaster/config.json`
+
+## After Migration
+
+Once migrated, Task Master will:
+
+✅ **Automatically use** the new directory structure  
+✅ **Show deprecation warnings** when legacy files are detected  
+✅ **Create new files** in the proper locations  
+✅ **Fall back gracefully** to legacy locations if new ones don't exist
+
+### Verification
+
+After migration, verify everything works:
+
+1. **List your tasks:**
+
+   ```bash
+   task-master list
+   ```
+
+2. **Check your configuration:**
+
+   ```bash
+   task-master models
+   ```
+
+3. **Generate new task files:**
+   ```bash
+   task-master generate
+   ```
+
+## Troubleshooting
+
+### Migration Issues
+
+**Q: Migration says "no files to migrate"**  
+A: Your project may already be using the new structure or have no Task Master files to migrate.
+
+**Q: Migration fails with permission errors**  
+A: Ensure you have write permissions in your project directory.
+
+**Q: Some files weren't migrated**  
+A: Check the migration output - some files may not match the expected patterns. You can migrate these manually.
+
+### Working with Legacy Projects
+
+If you're working with an older project that hasn't been migrated:
+
+- Task Master will continue to work with the old structure
+- You'll see deprecation warnings in the output
+- New files will still be created in legacy locations
+- Use the migration command when ready to upgrade
+
+### New Project Initialization
+
+New projects automatically use the new structure:
+
+```bash
+task-master init  # Creates .taskmaster/ structure
+```
+
+## Path Changes for Developers
+
+If you're developing tools or scripts that interact with Task Master files:
+
+### Configuration File
+
+- **Old:** `.taskmasterconfig`
+- **New:** `.taskmaster/config.json`
+- **Fallback:** Task Master checks both locations
+
+### Tasks File
+
+- **Old:** `tasks/tasks.json`
+- **New:** `.taskmaster/tasks/tasks.json`
+- **Fallback:** Task Master checks both locations
+
+### Reports
+
+- **Old:** `scripts/task-complexity-report.json`
+- **New:** `.taskmaster/reports/task-complexity-report.json`
+- **Fallback:** Task Master checks both locations
+
+### PRD Files
+
+- **Old:** `scripts/prd.txt`
+- **New:** `.taskmaster/docs/prd.txt`
+- **Fallback:** Task Master checks both locations
+
+## Need Help?
+
+If you encounter issues during migration:
+
+1. **Check the logs:** Add `--debug` flag for detailed output
+2. **Backup first:** Always use `--backup` option for safety
+3. **Test with dry-run:** Use `--dry-run` to preview changes
+4. **Ask for help:** Use our Discord community or GitHub issues
+
+---
+
+_This migration guide applies to Task Master v0.15.x and later. For older versions, please upgrade to the latest version first._

docs/models.md

@@ -0,0 +1,128 @@
+# Available Models as of June 15, 2025
+
+## Main Models
+
+| Provider   | Model Name                                     | SWE Score | Input Cost | Output Cost |
+| ---------- | ---------------------------------------------- | --------- | ---------- | ----------- |
+| anthropic  | claude-sonnet-4-20250514                       | 0.727     | 3          | 15          |
+| anthropic  | claude-opus-4-20250514                         | 0.725     | 15         | 75          |
+| anthropic  | claude-3-7-sonnet-20250219                     | 0.623     | 3          | 15          |
+| anthropic  | claude-3-5-sonnet-20241022                     | 0.49      | 3          | 15          |
+| openai     | gpt-4o                                         | 0.332     | 2.5        | 10          |
+| openai     | o1                                             | 0.489     | 15         | 60          |
+| openai     | o3                                             | 0.5       | 2          | 8           |
+| openai     | o3-mini                                        | 0.493     | 1.1        | 4.4         |
+| openai     | o4-mini                                        | 0.45      | 1.1        | 4.4         |
+| openai     | o1-mini                                        | 0.4       | 1.1        | 4.4         |
+| openai     | o1-pro                                         | —         | 150        | 600         |
+| openai     | gpt-4-5-preview                                | 0.38      | 75         | 150         |
+| openai     | gpt-4-1-mini                                   | —         | 0.4        | 1.6         |
+| openai     | gpt-4-1-nano                                   | —         | 0.1        | 0.4         |
+| openai     | gpt-4o-mini                                    | 0.3       | 0.15       | 0.6         |
+| google     | gemini-2.5-pro-preview-05-06                   | 0.638     | —          | —           |
+| google     | gemini-2.5-pro-preview-03-25                   | 0.638     | —          | —           |
+| google     | gemini-2.5-flash-preview-04-17                 | —         | —          | —           |
+| google     | gemini-2.0-flash                               | 0.754     | 0.15       | 0.6         |
+| google     | gemini-2.0-flash-lite                          | —         | —          | —           |
+| perplexity | sonar-pro                                      | —         | 3          | 15          |
+| perplexity | sonar-reasoning-pro                            | 0.211     | 2          | 8           |
+| perplexity | sonar-reasoning                                | 0.211     | 1          | 5           |
+| xai        | grok-3                                         | —         | 3          | 15          |
+| xai        | grok-3-fast                                    | —         | 5          | 25          |
+| ollama     | devstral:latest                                | —         | 0          | 0           |
+| ollama     | qwen3:latest                                   | —         | 0          | 0           |
+| ollama     | qwen3:14b                                      | —         | 0          | 0           |
+| ollama     | qwen3:32b                                      | —         | 0          | 0           |
+| ollama     | mistral-small3.1:latest                        | —         | 0          | 0           |
+| ollama     | llama3.3:latest                                | —         | 0          | 0           |
+| ollama     | phi4:latest                                    | —         | 0          | 0           |
+| openrouter | google/gemini-2.5-flash-preview-05-20          | —         | 0.15       | 0.6         |
+| openrouter | google/gemini-2.5-flash-preview-05-20:thinking | —         | 0.15       | 3.5         |
+| openrouter | google/gemini-2.5-pro-exp-03-25                | —         | 0          | 0           |
+| openrouter | deepseek/deepseek-chat-v3-0324:free            | —         | 0          | 0           |
+| openrouter | deepseek/deepseek-chat-v3-0324                 | —         | 0.27       | 1.1         |
+| openrouter | openai/gpt-4.1                                 | —         | 2          | 8           |
+| openrouter | openai/gpt-4.1-mini                            | —         | 0.4        | 1.6         |
+| openrouter | openai/gpt-4.1-nano                            | —         | 0.1        | 0.4         |
+| openrouter | openai/o3                                      | —         | 10         | 40          |
+| openrouter | openai/codex-mini                              | —         | 1.5        | 6           |
+| openrouter | openai/gpt-4o-mini                             | —         | 0.15       | 0.6         |
+| openrouter | openai/o4-mini                                 | 0.45      | 1.1        | 4.4         |
+| openrouter | openai/o4-mini-high                            | —         | 1.1        | 4.4         |
+| openrouter | openai/o1-pro                                  | —         | 150        | 600         |
+| openrouter | meta-llama/llama-3.3-70b-instruct              | —         | 120        | 600         |
+| openrouter | meta-llama/llama-4-maverick                    | —         | 0.18       | 0.6         |
+| openrouter | meta-llama/llama-4-scout                       | —         | 0.08       | 0.3         |
+| openrouter | qwen/qwen-max                                  | —         | 1.6        | 6.4         |
+| openrouter | qwen/qwen-turbo                                | —         | 0.05       | 0.2         |
+| openrouter | qwen/qwen3-235b-a22b                           | —         | 0.14       | 2           |
+| openrouter | mistralai/mistral-small-3.1-24b-instruct:free  | —         | 0          | 0           |
+| openrouter | mistralai/mistral-small-3.1-24b-instruct       | —         | 0.1        | 0.3         |
+| openrouter | mistralai/devstral-small                       | —         | 0.1        | 0.3         |
+| openrouter | mistralai/mistral-nemo                         | —         | 0.03       | 0.07        |
+| openrouter | thudm/glm-4-32b:free                           | —         | 0          | 0           |
+
+## Research Models
+
+| Provider   | Model Name                 | SWE Score | Input Cost | Output Cost |
+| ---------- | -------------------------- | --------- | ---------- | ----------- |
+| openai     | gpt-4o-search-preview      | 0.33      | 2.5        | 10          |
+| openai     | gpt-4o-mini-search-preview | 0.3       | 0.15       | 0.6         |
+| perplexity | sonar-pro                  | —         | 3          | 15          |
+| perplexity | sonar                      | —         | 1          | 1           |
+| perplexity | deep-research              | 0.211     | 2          | 8           |
+| perplexity | sonar-reasoning-pro        | 0.211     | 2          | 8           |
+| perplexity | sonar-reasoning            | 0.211     | 1          | 5           |
+| xai        | grok-3                     | —         | 3          | 15          |
+| xai        | grok-3-fast                | —         | 5          | 25          |
+
+## Fallback Models
+
+| Provider   | Model Name                                     | SWE Score | Input Cost | Output Cost |
+| ---------- | ---------------------------------------------- | --------- | ---------- | ----------- |
+| anthropic  | claude-sonnet-4-20250514                       | 0.727     | 3          | 15          |
+| anthropic  | claude-opus-4-20250514                         | 0.725     | 15         | 75          |
+| anthropic  | claude-3-7-sonnet-20250219                     | 0.623     | 3          | 15          |
+| anthropic  | claude-3-5-sonnet-20241022                     | 0.49      | 3          | 15          |
+| openai     | gpt-4o                                         | 0.332     | 2.5        | 10          |
+| openai     | o3                                             | 0.5       | 2          | 8           |
+| openai     | o4-mini                                        | 0.45      | 1.1        | 4.4         |
+| google     | gemini-2.5-pro-preview-05-06                   | 0.638     | —          | —           |
+| google     | gemini-2.5-pro-preview-03-25                   | 0.638     | —          | —           |
+| google     | gemini-2.5-flash-preview-04-17                 | —         | —          | —           |
+| google     | gemini-2.0-flash                               | 0.754     | 0.15       | 0.6         |
+| google     | gemini-2.0-flash-lite                          | —         | —          | —           |
+| perplexity | sonar-reasoning-pro                            | 0.211     | 2          | 8           |
+| perplexity | sonar-reasoning                                | 0.211     | 1          | 5           |
+| xai        | grok-3                                         | —         | 3          | 15          |
+| xai        | grok-3-fast                                    | —         | 5          | 25          |
+| ollama     | devstral:latest                                | —         | 0          | 0           |
+| ollama     | qwen3:latest                                   | —         | 0          | 0           |
+| ollama     | qwen3:14b                                      | —         | 0          | 0           |
+| ollama     | qwen3:32b                                      | —         | 0          | 0           |
+| ollama     | mistral-small3.1:latest                        | —         | 0          | 0           |
+| ollama     | llama3.3:latest                                | —         | 0          | 0           |
+| ollama     | phi4:latest                                    | —         | 0          | 0           |
+| openrouter | google/gemini-2.5-flash-preview-05-20          | —         | 0.15       | 0.6         |
+| openrouter | google/gemini-2.5-flash-preview-05-20:thinking | —         | 0.15       | 3.5         |
+| openrouter | google/gemini-2.5-pro-exp-03-25                | —         | 0          | 0           |
+| openrouter | deepseek/deepseek-chat-v3-0324:free            | —         | 0          | 0           |
+| openrouter | openai/gpt-4.1                                 | —         | 2          | 8           |
+| openrouter | openai/gpt-4.1-mini                            | —         | 0.4        | 1.6         |
+| openrouter | openai/gpt-4.1-nano                            | —         | 0.1        | 0.4         |
+| openrouter | openai/o3                                      | —         | 10         | 40          |
+| openrouter | openai/codex-mini                              | —         | 1.5        | 6           |
+| openrouter | openai/gpt-4o-mini                             | —         | 0.15       | 0.6         |
+| openrouter | openai/o4-mini                                 | 0.45      | 1.1        | 4.4         |
+| openrouter | openai/o4-mini-high                            | —         | 1.1        | 4.4         |
+| openrouter | openai/o1-pro                                  | —         | 150        | 600         |
+| openrouter | meta-llama/llama-3.3-70b-instruct              | —         | 120        | 600         |
+| openrouter | meta-llama/llama-4-maverick                    | —         | 0.18       | 0.6         |
+| openrouter | meta-llama/llama-4-scout                       | —         | 0.08       | 0.3         |
+| openrouter | qwen/qwen-max                                  | —         | 1.6        | 6.4         |
+| openrouter | qwen/qwen-turbo                                | —         | 0.05       | 0.2         |
+| openrouter | qwen/qwen3-235b-a22b                           | —         | 0.14       | 2           |
+| openrouter | mistralai/mistral-small-3.1-24b-instruct:free  | —         | 0          | 0           |
+| openrouter | mistralai/mistral-small-3.1-24b-instruct       | —         | 0.1        | 0.3         |
+| openrouter | mistralai/mistral-nemo                         | —         | 0.03       | 0.07        |
+| openrouter | thudm/glm-4-32b:free                           | —         | 0          | 0           |

docs/scripts/models-json-to-markdown.js

@@ -0,0 +1,131 @@
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+const supportedModelsPath = path.join(
+	__dirname,
+	'..',
+	'modules',
+	'supported-models.json'
+);
+const outputMarkdownPath = path.join(
+	__dirname,
+	'..',
+	'..',
+	'docs',
+	'models.md'
+);
+
+function formatCost(cost) {
+	if (cost === null || cost === undefined) {
+		return '—';
+	}
+	return cost;
+}
+
+function formatSweScore(score) {
+	if (score === null || score === undefined || score === 0) {
+		return '—';
+	}
+	return score.toString();
+}
+
+function generateMarkdownTable(title, models) {
+	if (!models || models.length === 0) {
+		return `## ${title}\n\nNo models in this category.\n\n`;
+	}
+	let table = `## ${title}\n\n`;
+	table += '| Provider | Model Name | SWE Score | Input Cost | Output Cost |\n';
+	table += '|---|---|---|---|---|\n';
+	models.forEach((model) => {
+		table += `| ${model.provider} | ${model.modelName} | ${formatSweScore(model.sweScore)} | ${formatCost(model.inputCost)} | ${formatCost(model.outputCost)} |\n`;
+	});
+	table += '\n';
+	return table;
+}
+
+function main() {
+	try {
+		const correctSupportedModelsPath = path.join(
+			__dirname,
+			'..',
+			'..',
+			'scripts',
+			'modules',
+			'supported-models.json'
+		);
+		const correctOutputMarkdownPath = path.join(__dirname, '..', 'models.md');
+
+		const supportedModelsContent = fs.readFileSync(
+			correctSupportedModelsPath,
+			'utf8'
+		);
+		const supportedModels = JSON.parse(supportedModelsContent);
+
+		const mainModels = [];
+		const researchModels = [];
+		const fallbackModels = [];
+
+		for (const provider in supportedModels) {
+			if (Object.hasOwnProperty.call(supportedModels, provider)) {
+				const models = supportedModels[provider];
+				models.forEach((model) => {
+					const modelEntry = {
+						provider: provider,
+						modelName: model.id,
+						sweScore: model.swe_score,
+						inputCost: model.cost_per_1m_tokens
+							? model.cost_per_1m_tokens.input
+							: null,
+						outputCost: model.cost_per_1m_tokens
+							? model.cost_per_1m_tokens.output
+							: null
+					};
+
+					if (model.allowed_roles.includes('main')) {
+						mainModels.push(modelEntry);
+					}
+					if (model.allowed_roles.includes('research')) {
+						researchModels.push(modelEntry);
+					}
+					if (model.allowed_roles.includes('fallback')) {
+						fallbackModels.push(modelEntry);
+					}
+				});
+			}
+		}
+
+		const date = new Date();
+		const monthNames = [
+			'January',
+			'February',
+			'March',
+			'April',
+			'May',
+			'June',
+			'July',
+			'August',
+			'September',
+			'October',
+			'November',
+			'December'
+		];
+		const formattedDate = `${monthNames[date.getMonth()]} ${date.getDate()}, ${date.getFullYear()}`;
+
+		let markdownContent = `# Available Models as of ${formattedDate}\n\n`;
+		markdownContent += generateMarkdownTable('Main Models', mainModels);
+		markdownContent += generateMarkdownTable('Research Models', researchModels);
+		markdownContent += generateMarkdownTable('Fallback Models', fallbackModels);
+
+		fs.writeFileSync(correctOutputMarkdownPath, markdownContent, 'utf8');
+		console.log(`Successfully updated ${correctOutputMarkdownPath}`);
+	} catch (error) {
+		console.error('Error transforming models.json to models.md:', error);
+		process.exit(1);
+	}
+}
+
+main();

docs/task-structure.md

@@ -137,3 +137,290 @@ The `show` command:
 8. **Communicate context to the agent**: When asking the Cursor agent to help with a task, provide context about what you're trying to achieve.
 
 9. **Validate dependencies**: Periodically run the validate-dependencies command to check for invalid or circular dependencies.
+
+# Task Structure Documentation
+
+Task Master uses a structured JSON format to organize and manage tasks. As of version 0.16.2, Task Master introduces **Tagged Task Lists** for multi-context task management while maintaining full backward compatibility.
+
+## Tagged Task Lists System
+
+Task Master now organizes tasks into separate contexts called **tags**. This enables working across multiple contexts such as different branches, environments, or project phases without conflicts.
+
+### Data Structure Overview
+
+**Tagged Format (Current)**:
+
+```json
+{
+  "master": {
+    "tasks": [
+      { "id": 1, "title": "Setup API", "status": "pending", ... }
+    ]
+  },
+  "feature-branch": {
+    "tasks": [
+      { "id": 1, "title": "New Feature", "status": "pending", ... }
+    ]
+  }
+}
+```
+
+**Legacy Format (Automatically Migrated)**:
+
+```json
+{
+  "tasks": [
+    { "id": 1, "title": "Setup API", "status": "pending", ... }
+  ]
+}
+```
+
+### Tag-based Task Lists (v0.17+) and Compatibility
+
+- **Seamless Migration**: Existing `tasks.json` files are automatically migrated to use a "master" tag
+- **Zero Disruption**: All existing commands continue to work exactly as before
+- **Backward Compatibility**: Existing workflows remain unchanged
+- **Silent Process**: Migration happens transparently on first use with a friendly notification
+
+## Core Task Properties
+
+Each task within a tag context contains the following properties:
+
+### Required Properties
+
+- **`id`** (number): Unique identifier within the tag context
+
+  ```json
+  "id": 1
+  ```
+
+- **`title`** (string): Brief, descriptive title
+
+  ```json
+  "title": "Implement user authentication"
+  ```
+
+- **`description`** (string): Concise summary of what the task involves
+
+  ```json
+  "description": "Create a secure authentication system using JWT tokens"
+  ```
+
+- **`status`** (string): Current state of the task
+  - Valid values: `"pending"`, `"in-progress"`, `"done"`, `"review"`, `"deferred"`, `"cancelled"`
+  ```json
+  "status": "pending"
+  ```
+
+### Optional Properties
+
+- **`dependencies`** (array): IDs of prerequisite tasks that must be completed first
+
+  ```json
+  "dependencies": [2, 3]
+  ```
+
+- **`priority`** (string): Importance level
+
+  - Valid values: `"high"`, `"medium"`, `"low"`
+  - Default: `"medium"`
+
+  ```json
+  "priority": "high"
+  ```
+
+- **`details`** (string): In-depth implementation instructions
+
+  ```json
+  "details": "Use GitHub OAuth client ID/secret, handle callback, set session token"
+  ```
+
+- **`testStrategy`** (string): Verification approach
+
+  ```json
+  "testStrategy": "Deploy and call endpoint to confirm authentication flow"
+  ```
+
+- **`subtasks`** (array): List of smaller, more specific tasks
+  ```json
+  "subtasks": [
+    {
+      "id": 1,
+      "title": "Configure OAuth",
+      "description": "Set up OAuth configuration",
+      "status": "pending",
+      "dependencies": [],
+      "details": "Configure GitHub OAuth app and store credentials"
+    }
+  ]
+  ```
+
+## Subtask Structure
+
+Subtasks follow a similar structure to main tasks but with some differences:
+
+### Subtask Properties
+
+- **`id`** (number): Unique identifier within the parent task
+- **`title`** (string): Brief, descriptive title
+- **`description`** (string): Concise summary of the subtask
+- **`status`** (string): Current state (same values as main tasks)
+- **`dependencies`** (array): Can reference other subtasks or main task IDs
+- **`details`** (string): Implementation instructions and notes
+
+### Subtask Example
+
+```json
+{
+  "id": 2,
+  "title": "Handle OAuth callback",
+  "description": "Process the OAuth callback and extract user data",
+  "status": "pending",
+  "dependencies": [1],
+  "details": "Parse callback parameters, exchange code for token, fetch user profile"
+}
+```
+
+## Complete Example
+
+Here's a complete example showing the tagged task structure:
+
+```json
+{
+  "master": {
+    "tasks": [
+      {
+        "id": 1,
+        "title": "Setup Express Server",
+        "description": "Initialize and configure Express.js server with middleware",
+        "status": "done",
+        "dependencies": [],
+        "priority": "high",
+        "details": "Create Express app with CORS, body parser, and error handling",
+        "testStrategy": "Start server and verify health check endpoint responds",
+        "subtasks": [
+          {
+            "id": 1,
+            "title": "Initialize npm project",
+            "description": "Set up package.json and install dependencies",
+            "status": "done",
+            "dependencies": [],
+            "details": "Run npm init, install express, cors, body-parser"
+          },
+          {
+            "id": 2,
+            "title": "Configure middleware",
+            "description": "Set up CORS and body parsing middleware",
+            "status": "done",
+            "dependencies": [1],
+            "details": "Add app.use() calls for cors() and express.json()"
+          }
+        ]
+      },
+      {
+        "id": 2,
+        "title": "Implement user authentication",
+        "description": "Create secure authentication system",
+        "status": "pending",
+        "dependencies": [1],
+        "priority": "high",
+        "details": "Use JWT tokens for session management",
+        "testStrategy": "Test login/logout flow with valid and invalid credentials",
+        "subtasks": []
+      }
+    ]
+  },
+  "feature-auth": {
+    "tasks": [
+      {
+        "id": 1,
+        "title": "OAuth Integration",
+        "description": "Add OAuth authentication support",
+        "status": "pending",
+        "dependencies": [],
+        "priority": "medium",
+        "details": "Integrate with GitHub OAuth for user authentication",
+        "testStrategy": "Test OAuth flow with GitHub account",
+        "subtasks": []
+      }
+    ]
+  }
+}
+```
+
+## Tag Context Management
+
+### Current Tag Resolution
+
+Task Master automatically determines the current tag context based on:
+
+1. **State Configuration**: Current tag stored in `.taskmaster/state.json`
+2. **Default Fallback**: "master" tag when no context is specified
+3. **Future Enhancement**: Git branch-based tag switching (Part 2)
+
+### Tag Isolation
+
+- **Context Separation**: Tasks in different tags are completely isolated
+- **Independent Numbering**: Each tag has its own task ID sequence starting from 1
+- **Parallel Development**: Multiple team members can work on separate tags without conflicts
+
+## Data Validation
+
+Task Master validates the following aspects of task data:
+
+### Required Validations
+
+- **Unique IDs**: Task IDs must be unique within each tag context
+- **Valid Status**: Status values must be from the allowed set
+- **Dependency References**: Dependencies must reference existing task IDs within the same tag
+- **Subtask IDs**: Subtask IDs must be unique within their parent task
+
+### Optional Validations
+
+- **Circular Dependencies**: System detects and prevents circular dependency chains
+- **Priority Values**: Priority must be one of the allowed values if specified
+- **Data Types**: All properties must match their expected data types
+
+## File Generation
+
+Task Master can generate individual markdown files for each task based on the JSON structure. These files include:
+
+- **Task Overview**: ID, title, status, dependencies
+- **Tag Context**: Which tag the task belongs to
+- **Implementation Details**: Full task details and test strategy
+- **Subtask Breakdown**: All subtasks with their current status
+- **Dependency Status**: Visual indicators showing which dependencies are complete
+
+## Migration Process
+
+When Task Master encounters a legacy format `tasks.json` file:
+
+1. **Detection**: Automatically detects `{"tasks": [...]}` format
+2. **Transformation**: Converts to `{"master": {"tasks": [...]}}` format
+3. **Configuration**: Updates `.taskmaster/config.json` with tagged system settings
+4. **State Creation**: Creates `.taskmaster/state.json` for tag management
+5. **Notification**: Shows one-time friendly notice about the new system
+6. **Preservation**: All existing task data is preserved exactly as-is
+
+## Best Practices
+
+### Task Organization
+
+- **Logical Grouping**: Use tags to group related tasks (e.g., by feature, branch, or milestone)
+- **Clear Titles**: Use descriptive titles that explain the task's purpose
+- **Proper Dependencies**: Define dependencies to ensure correct execution order
+- **Detailed Instructions**: Include sufficient detail in the `details` field for implementation
+
+### Tag Management
+
+- **Meaningful Names**: Use descriptive tag names that reflect their purpose
+- **Consistent Naming**: Establish naming conventions for tags (e.g., branch names, feature names)
+- **Context Switching**: Be aware of which tag context you're working in
+- **Isolation Benefits**: Leverage tag isolation to prevent merge conflicts
+
+### Subtask Design
+
+- **Granular Tasks**: Break down complex tasks into manageable subtasks
+- **Clear Dependencies**: Define subtask dependencies to show implementation order
+- **Implementation Notes**: Use subtask details to track progress and decisions
+- **Status Tracking**: Keep subtask status updated as work progresses

docs/tutorial.md

@@ -10,32 +10,45 @@ There are two ways to set up Task Master: using MCP (recommended) or via npm ins
 
 MCP (Model Control Protocol) provides the easiest way to get started with Task Master directly in your editor.
 
-1. **Add the MCP config to your editor** (Cursor recommended, but it works with other text editors):
+1. **Install the package**
+
+```bash
+npm i -g task-master-ai
+```
+
+2. **Add the MCP config to your IDE/MCP Client** (Cursor is recommended, but it works with other clients):
 
 ```json
 {
-	"mcpServers": {
-		"taskmaster-ai": {
-			"command": "npx",
-			"args": ["-y", "--package", "task-master-ai", "task-master-mcp"],
-			"env": {
-				"ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
-				"PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
-				"MODEL": "claude-3-7-sonnet-20250219",
-				"PERPLEXITY_MODEL": "sonar-pro",
-				"MAX_TOKENS": 128000,
-				"TEMPERATURE": 0.2,
-				"DEFAULT_SUBTASKS": 5,
-				"DEFAULT_PRIORITY": "medium"
-			}
-		}
-	}
+  "mcpServers": {
+    "taskmaster-ai": {
+      "command": "npx",
+      "args": ["-y", "--package=task-master-ai", "task-master-ai"],
+      "env": {
+        "ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
+        "PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
+        "OPENAI_API_KEY": "YOUR_OPENAI_KEY_HERE",
+        "GOOGLE_API_KEY": "YOUR_GOOGLE_KEY_HERE",
+        "MISTRAL_API_KEY": "YOUR_MISTRAL_KEY_HERE",
+        "OPENROUTER_API_KEY": "YOUR_OPENROUTER_KEY_HERE",
+        "XAI_API_KEY": "YOUR_XAI_KEY_HERE",
+        "AZURE_OPENAI_API_KEY": "YOUR_AZURE_KEY_HERE"
+      }
+    }
+  }
 }
 ```
 
-2. **Enable the MCP** in your editor settings
+**IMPORTANT:** An API key is _required_ for each AI provider you plan on using. Run the `task-master models` command to see your selected models and the status of your API keys across .env and mcp.json
 
-3. **Prompt the AI** to initialize Task Master:
+**To use AI commands in CLI** you MUST have API keys in the .env file
+**To use AI commands in MCP** you MUST have API keys in the .mcp.json file (or MCP config equivalent)
+
+We recommend having keys in both places and adding mcp.json to your gitignore so your API keys aren't checked into git.
+
+3. **Enable the MCP** in your editor settings
+
+4. **Prompt the AI** to initialize Task Master:
 
 ```
 Can you please initialize taskmaster-ai into my project?
@@ -47,12 +60,12 @@ The AI will:
 - Set up initial configuration files
 - Guide you through the rest of the process
 
-4. Place your PRD document in the `scripts/` directory (e.g., `scripts/prd.txt`)
+5. Place your PRD document in the `.taskmaster/docs/` directory (e.g., `.taskmaster/docs/prd.txt`)
 
-5. **Use natural language commands** to interact with Task Master:
+6. **Use natural language commands** to interact with Task Master:
 
 ```
-Can you parse my PRD at scripts/prd.txt?
+Can you parse my PRD at .taskmaster/docs/prd.txt?
 What's the next task I should work on?
 Can you help me implement task 3?
 ```
@@ -76,7 +89,7 @@ Initialize a new project:
 task-master init
 
 # If installed locally
-npx task-master-init
+npx task-master init
 ```
 
 This will prompt you for project details and set up a new project with the necessary files and structure.
@@ -119,7 +132,7 @@ If you're not using MCP, you can still set up Cursor integration:
 
 1. After initializing your project, open it in Cursor
 2. The `.cursor/rules/dev_workflow.mdc` file is automatically loaded by Cursor, providing the AI with knowledge about the task management system
-3. Place your PRD document in the `scripts/` directory (e.g., `scripts/prd.txt`)
+3. Place your PRD document in the `.taskmaster/docs/` directory (e.g., `.taskmaster/docs/prd.txt`)
 4. Open Cursor's AI chat and switch to Agent mode
 
 ### Alternative MCP Setup in Cursor
@@ -132,7 +145,7 @@ You can also set up the MCP server in Cursor settings:
 4. Configure with the following details:
    - Name: "Task Master"
    - Type: "Command"
-   - Command: "npx -y --package task-master-ai task-master-mcp"
+   - Command: "npx -y --package=task-master-ai task-master-ai"
 5. Save the settings
 
 Once configured, you can interact with Task Master's task management commands directly through Cursor's interface, providing a more integrated experience.
@@ -142,13 +155,13 @@ Once configured, you can interact with Task Master's task management commands di
 In Cursor's AI chat, instruct the agent to generate tasks from your PRD:
 
 ```
-Please use the task-master parse-prd command to generate tasks from my PRD. The PRD is located at scripts/prd.txt.
+Please use the task-master parse-prd command to generate tasks from my PRD. The PRD is located at .taskmaster/docs/prd.txt.
 ```
 
 The agent will execute:
 
 ```bash
-task-master parse-prd scripts/prd.txt
+task-master parse-prd .taskmaster/docs/prd.txt
 ```
 
 This will:
@@ -185,10 +198,15 @@ Ask the agent to list available tasks:
 What tasks are available to work on next?
 ```
 
+```
+Can you show me tasks 1, 3, and 5 to understand their current status?
+```
+
 The agent will:
 
 - Run `task-master list` to see all tasks
 - Run `task-master next` to determine the next task to work on
+- Run `task-master show 1,3,5` to display multiple tasks with interactive options
 - Analyze dependencies to determine which tasks are ready to be worked on
 - Prioritize tasks based on priority level and ID order
 - Suggest the next task(s) to implement
@@ -208,6 +226,21 @@ You can ask:
 Let's implement task 3. What does it involve?
 ```
 
+### 2.1. Viewing Multiple Tasks
+
+For efficient context gathering and batch operations:
+
+```
+Show me tasks 5, 7, and 9 so I can plan my implementation approach.
+```
+
+The agent will:
+
+- Run `task-master show 5,7,9` to display a compact summary table
+- Show task status, priority, and progress indicators
+- Provide an interactive action menu with batch operations
+- Allow you to perform group actions like marking multiple tasks as in-progress
+
 ### 3. Task Verification
 
 Before marking a task as complete, verify it according to:
@@ -241,18 +274,75 @@ If during implementation, you discover that:
 Tell the agent:
 
 ```
-We've changed our approach. We're now using Express instead of Fastify. Please update all future tasks to reflect this change.
+We've decided to use MongoDB instead of PostgreSQL. Can you update all future tasks (from ID 4) to reflect this change?
 ```
 
 The agent will execute:
 
 ```bash
-task-master update --from=4 --prompt="Now we are using Express instead of Fastify."
+task-master update --from=4 --prompt="Now we are using MongoDB instead of PostgreSQL."
+
+# OR, if research is needed to find best practices for MongoDB:
+task-master update --from=4 --prompt="Update to use MongoDB, researching best practices" --research
 ```
 
 This will rewrite or re-scope subsequent tasks in tasks.json while preserving completed work.
 
-### 6. Breaking Down Complex Tasks
+### 6. Reorganizing Tasks
+
+If you need to reorganize your task structure:
+
+```
+I think subtask 5.2 would fit better as part of task 7 instead. Can you move it there?
+```
+
+The agent will execute:
+
+```bash
+task-master move --from=5.2 --to=7.3
+```
+
+You can reorganize tasks in various ways:
+
+- Moving a standalone task to become a subtask: `--from=5 --to=7`
+- Moving a subtask to become a standalone task: `--from=5.2 --to=7`
+- Moving a subtask to a different parent: `--from=5.2 --to=7.3`
+- Reordering subtasks within the same parent: `--from=5.2 --to=5.4`
+- Moving a task to a new ID position: `--from=5 --to=25` (even if task 25 doesn't exist yet)
+- Moving multiple tasks at once: `--from=10,11,12 --to=16,17,18` (must have same number of IDs, Taskmaster will look through each position)
+
+When moving tasks to new IDs:
+
+- The system automatically creates placeholder tasks for non-existent destination IDs
+- This prevents accidental data loss during reorganization
+- Any tasks that depend on moved tasks will have their dependencies updated
+- When moving a parent task, all its subtasks are automatically moved with it and renumbered
+
+This is particularly useful as your project understanding evolves and you need to refine your task structure.
+
+### 7. Resolving Merge Conflicts with Tasks
+
+When working with a team, you might encounter merge conflicts in your tasks.json file if multiple team members create tasks on different branches. The move command makes resolving these conflicts straightforward:
+
+```
+I just merged the main branch and there's a conflict with tasks.json. My teammates created tasks 10-15 while I created tasks 10-12 on my branch. Can you help me resolve this?
+```
+
+The agent will help you:
+
+1. Keep your teammates' tasks (10-15)
+2. Move your tasks to new positions to avoid conflicts:
+
+```bash
+# Move your tasks to new positions (e.g., 16-18)
+task-master move --from=10 --to=16
+task-master move --from=11 --to=17
+task-master move --from=12 --to=18
+```
+
+This approach preserves everyone's work while maintaining a clean task structure, making it much easier to handle task conflicts than trying to manually merge JSON files.
+
+### 8. Breaking Down Complex Tasks
 
 For complex tasks that need more granularity:
 
@@ -290,7 +380,7 @@ The agent will execute:
 task-master expand --all
 ```
 
-For research-backed subtask generation using Perplexity AI:
+For research-backed subtask generation using the configured research model:
 
 ```
 Please break down task 5 using research-backed generation.
@@ -307,7 +397,7 @@ task-master expand --id=5 --research
 ### Starting a new project
 
 ```
-I've just initialized a new project with Claude Task Master. I have a PRD at scripts/prd.txt.
+I've just initialized a new project with Claude Task Master. I have a PRD at .taskmaster/docs/prd.txt.
 Can you help me parse it and set up the initial tasks?
 ```
 
@@ -353,3 +443,148 @@ Can you analyze the complexity of our tasks to help me understand which ones nee
 ```
 Can you show me the complexity report in a more readable format?
 ```
+
+### Research-Driven Development
+
+Task Master includes a powerful research tool that provides fresh, up-to-date information beyond the AI's knowledge cutoff. This is particularly valuable for:
+
+#### Getting Current Best Practices
+
+```
+Before implementing task 5 (authentication), research the latest JWT security recommendations.
+```
+
+The agent will execute:
+
+```bash
+task-master research "Latest JWT security recommendations 2024" --id=5
+```
+
+#### Research with Project Context
+
+```
+Research React Query v5 migration strategies for our current API implementation.
+```
+
+The agent will execute:
+
+```bash
+task-master research "React Query v5 migration strategies" --files=src/api.js,src/hooks.js
+```
+
+#### Research and Update Pattern
+
+A powerful workflow is to research first, then update tasks with findings:
+
+```
+Research the latest Node.js performance optimization techniques and update task 12 with the findings.
+```
+
+The agent will:
+
+1. Run research: `task-master research "Node.js performance optimization 2024" --id=12`
+2. Update the task: `task-master update-subtask --id=12.2 --prompt="Updated with latest performance findings: [research results]"`
+
+#### When to Use Research
+
+- **Before implementing any new technology**
+- **When encountering security-related tasks**
+- **For performance optimization tasks**
+- **When debugging complex issues**
+- **Before making architectural decisions**
+- **When updating dependencies**
+
+The research tool automatically includes relevant project context and provides fresh information that can significantly improve implementation quality.
+
+## Git Integration and Tag Management
+
+Task Master supports tagged task lists for multi-context development, which is particularly useful when working with git branches or different project phases.
+
+### Working with Tags
+
+Tags provide isolated task contexts, allowing you to maintain separate task lists for different features, branches, or experiments:
+
+```
+I'm starting work on a new feature branch. Can you create a new tag for this work?
+```
+
+The agent will execute:
+
+```bash
+# Create a tag based on your current git branch
+task-master add-tag --from-branch
+```
+
+Or you can create a tag with a specific name:
+
+```
+Create a new tag called 'user-auth' for authentication-related tasks.
+```
+
+The agent will execute:
+
+```bash
+task-master add-tag user-auth --description="User authentication feature tasks"
+```
+
+### Switching Between Contexts
+
+When working on different features or branches:
+
+```
+Switch to the 'user-auth' tag context so I can work on authentication tasks.
+```
+
+The agent will execute:
+
+```bash
+task-master use-tag user-auth
+```
+
+### Copying Tasks Between Tags
+
+When you need to duplicate work across contexts:
+
+```
+Copy all tasks from the current tag to a new 'testing' tag for QA work.
+```
+
+The agent will execute:
+
+```bash
+task-master add-tag testing --copy-from-current --description="QA and testing tasks"
+```
+
+### Tag Management
+
+View and manage your tag contexts:
+
+```
+Show me all available tags and their current status.
+```
+
+The agent will execute:
+
+```bash
+task-master tags --show-metadata
+```
+
+### Benefits of Tagged Task Lists
+
+- **Branch Isolation**: Each git branch can have its own task context
+- **Merge Conflict Prevention**: Tasks in different tags don't interfere with each other
+- **Parallel Development**: Multiple team members can work on separate contexts
+- **Context Switching**: Easily switch between different project phases or features
+- **Experimentation**: Create experimental task lists without affecting main work
+
+### Git Workflow Integration
+
+A typical git workflow with Task Master tags:
+
+1. **Create feature branch**: `git checkout -b feature/user-auth`
+2. **Create matching tag**: Ask agent to run `task-master add-tag --from-branch`
+3. **Work in isolated context**: All task operations work within the new tag
+4. **Switch contexts as needed**: Use `task-master use-tag <name>` to switch between different work streams
+5. **Merge and cleanup**: After merging the branch, optionally delete the tag with `task-master delete-tag <name>`
+
+This workflow ensures your task management stays organized and conflicts are minimized when working with teams or multiple features simultaneously.

index.js

@@ -46,22 +46,18 @@ export const initProject = async (options = {}) => {
 };
 
 // Export a function to run init as a CLI command
-export const runInitCLI = async () => {
-	// Using spawn to ensure proper handling of stdio and process exit
-	const child = spawn('node', [resolve(__dirname, './scripts/init.js')], {
-		stdio: 'inherit',
-		cwd: process.cwd()
-	});
-
-	return new Promise((resolve, reject) => {
-		child.on('close', (code) => {
-			if (code === 0) {
-				resolve();
-			} else {
-				reject(new Error(`Init script exited with code ${code}`));
-			}
-		});
-	});
+export const runInitCLI = async (options = {}) => {
+	try {
+		const init = await import('./scripts/init.js');
+		const result = await init.initializeProject(options);
+		return result;
+	} catch (error) {
+		console.error('Initialization failed:', error.message);
+		if (process.env.DEBUG === 'true') {
+			console.error('Debug stack trace:', error.stack);
+		}
+		throw error; // Re-throw to be handled by the command handler
+	}
 };
 
 // Export version information
@@ -79,11 +75,21 @@ if (import.meta.url === `file://${process.argv[1]}`) {
 	program
 		.command('init')
 		.description('Initialize a new project')
-		.action(() => {
-			runInitCLI().catch((err) => {
+		.option('-y, --yes', 'Skip prompts and use default values')
+		.option('-n, --name <n>', 'Project name')
+		.option('-d, --description <description>', 'Project description')
+		.option('-v, --version <version>', 'Project version', '0.1.0')
+		.option('-a, --author <author>', 'Author name')
+		.option('--skip-install', 'Skip installing dependencies')
+		.option('--dry-run', 'Show what would be done without making changes')
+		.option('--aliases', 'Add shell aliases (tm, taskmaster)')
+		.action(async (cmdOptions) => {
+			try {
+				await runInitCLI(cmdOptions);
+			} catch (err) {
 				console.error('Init failed:', err.message);
 				process.exit(1);
-			});
+			}
 		});
 
 	program

jest.config.js

@@ -15,11 +15,7 @@ export default {
 	roots: ['<rootDir>/tests'],
 
 	// The glob patterns Jest uses to detect test files
-	testMatch: [
-		'**/__tests__/**/*.js',
-		'**/?(*.)+(spec|test).js',
-		'**/tests/*.test.js'
-	],
+	testMatch: ['**/__tests__/**/*.js', '**/?(*.)+(spec|test).js'],
 
 	// Transform files
 	transform: {},

llms-install.md

@@ -0,0 +1,131 @@
+# Taskmaster AI Installation Guide
+
+This guide helps AI assistants install and configure Taskmaster for users in their development projects.
+
+## What is Taskmaster?
+
+Taskmaster is an AI-driven task management system designed for development workflows. It helps break down projects into manageable tasks, track dependencies, and maintain development momentum through structured, AI-enhanced planning.
+
+## Installation Steps
+
+### Step 1: Add MCP Configuration
+
+Add the following configuration to the user's MCP settings file (`.cursor/mcp.json` for Cursor, or equivalent for other editors):
+
+```json
+{
+	"mcpServers": {
+		"taskmaster-ai": {
+			"command": "npx",
+			"args": ["-y", "--package=task-master-ai", "task-master-ai"],
+			"env": {
+				"ANTHROPIC_API_KEY": "user_will_add_their_key_here",
+				"PERPLEXITY_API_KEY": "user_will_add_their_key_here",
+				"OPENAI_API_KEY": "user_will_add_their_key_here",
+				"GOOGLE_API_KEY": "user_will_add_their_key_here",
+				"MISTRAL_API_KEY": "user_will_add_their_key_here",
+				"OPENROUTER_API_KEY": "user_will_add_their_key_here",
+				"XAI_API_KEY": "user_will_add_their_key_here"
+			}
+		}
+	}
+}
+```
+
+### Step 2: API Key Requirements
+
+Inform the user they need **at least one** API key from the following providers:
+
+- **Anthropic** (for Claude models) - Recommended
+- **OpenAI** (for GPT models)
+- **Google** (for Gemini models)
+- **Perplexity** (for research features) - Highly recommended
+- **Mistral** (for Mistral models)
+- **OpenRouter** (access to multiple models)
+- **xAI** (for Grok models)
+
+The user will be able to define 3 separate roles (can be the same provider or separate providers) for main AI operations, research operations (research providers/models only), and a fallback model in case of errors.
+
+### Step 3: Initialize Project
+
+Once the MCP server is configured and API keys are added, initialize Taskmaster in the user's project:
+
+> Can you initialize Task Master in my project?
+
+This will run the `initialize_project` tool to set up the basic file structure.
+
+### Step 4: Create Initial Tasks
+
+Users have two options for creating initial tasks:
+
+**Option A: Parse a PRD (Recommended)**
+If they have a Product Requirements Document:
+
+> Can you parse my PRD file at [path/to/prd.txt] to generate initial tasks?
+
+If the user does not have a PRD, the AI agent can help them create one and store it in scripts/prd.txt for parsing.
+
+**Option B: Start from scratch**
+
+> Can you help me add my first task: [describe the task]
+
+## Common Usage Patterns
+
+### Daily Workflow
+
+> What's the next task I should work on?
+> Can you show me the details for task [ID]?
+> Can you mark task [ID] as done?
+
+### Task Management
+
+> Can you break down task [ID] into subtasks?
+> Can you add a new task: [description]
+> Can you analyze the complexity of my tasks?
+
+### Project Organization
+
+> Can you show me all my pending tasks?
+> Can you move task [ID] to become a subtask of [parent ID]?
+> Can you update task [ID] with this new information: [details]
+
+## Verification Steps
+
+After installation, verify everything is working:
+
+1. **Check MCP Connection**: The AI should be able to access Task Master tools
+2. **Test Basic Commands**: Try `get_tasks` to list current tasks
+3. **Verify API Keys**: Ensure AI-powered commands work (like `add_task`)
+
+Note: An API key fallback exists that allows the MCP server to read API keys from `.env` instead of the MCP JSON config. It is recommended to have keys in both places in case the MCP server is unable to read keys from its environment for whatever reason.
+
+When adding keys to `.env` only, the `models` tool will explain that the keys are not OK for MCP. Despite this, the fallback should kick in and the API keys will be read from the `.env` file.
+
+## Troubleshooting
+
+**If MCP server doesn't start:**
+
+- Verify the JSON configuration is valid
+- Check that Node.js is installed
+- Ensure API keys are properly formatted
+
+**If AI commands fail:**
+
+- Verify at least one API key is configured
+- Check API key permissions and quotas
+- Try using a different model via the `models` tool
+
+## CLI Fallback
+
+Taskmaster is also available via CLI commands, by installing with `npm install task-master-ai@latest` in a terminal. Running `task-master help` will show all available commands, which offer a 1:1 experience with the MCP server. As the AI agent, you should refer to the system prompts and rules provided to you to identify Taskmaster-specific rules that help you understand how and when to use it.
+
+## Next Steps
+
+Once installed, users can:
+
+- Create new tasks with `add-task` or parse a PRD (scripts/prd.txt) into tasks with `parse-prd`
+- Set up model preferences with `models` tool
+- Expand tasks into subtasks with `expand-all` and `expand-task`
+- Explore advanced features like research mode and complexity analysis
+
+For detailed documentation, refer to the Task Master docs directory.``

mcp-server/src/core/direct-functions/add-dependency.js

@@ -4,7 +4,6 @@
  */
 
 import { addDependency } from '../../../../scripts/modules/dependency-manager.js';
-import { findTasksJsonPath } from '../utils/path-utils.js';
 import {
 	enableSilentMode,
 	disableSilentMode
@@ -14,19 +13,32 @@ import {
  * Direct function wrapper for addDependency with error handling.
  *
  * @param {Object} args - Command arguments
+ * @param {string} args.tasksJsonPath - Explicit path to the tasks.json file.
  * @param {string|number} args.id - Task ID to add dependency to
  * @param {string|number} args.dependsOn - Task ID that will become a dependency
- * @param {string} [args.file] - Path to the tasks file
- * @param {string} [args.projectRoot] - Project root directory
  * @param {Object} log - Logger object
  * @returns {Promise<Object>} - Result object with success status and data/error information
  */
 export async function addDependencyDirect(args, log) {
+	// Destructure expected args
+	const { tasksJsonPath, id, dependsOn } = args;
 	try {
 		log.info(`Adding dependency with args: ${JSON.stringify(args)}`);
 
+		// Check if tasksJsonPath was provided
+		if (!tasksJsonPath) {
+			log.error('addDependencyDirect called without tasksJsonPath');
+			return {
+				success: false,
+				error: {
+					code: 'MISSING_ARGUMENT',
+					message: 'tasksJsonPath is required'
+				}
+			};
+		}
+
 		// Validate required parameters
-		if (!args.id) {
+		if (!id) {
 			return {
 				success: false,
 				error: {
@@ -36,7 +48,7 @@ export async function addDependencyDirect(args, log) {
 			};
 		}
 
-		if (!args.dependsOn) {
+		if (!dependsOn) {
 			return {
 				success: false,
 				error: {
@@ -46,18 +58,16 @@ export async function addDependencyDirect(args, log) {
 			};
 		}
 
-		// Find the tasks.json path
-		const tasksPath = findTasksJsonPath(args, log);
+		// Use provided path
+		const tasksPath = tasksJsonPath;
 
 		// Format IDs for the core function
 		const taskId =
-			args.id.includes && args.id.includes('.')
-				? args.id
-				: parseInt(args.id, 10);
+			id && id.includes && id.includes('.') ? id : parseInt(id, 10);
 		const dependencyId =
-			args.dependsOn.includes && args.dependsOn.includes('.')
-				? args.dependsOn
-				: parseInt(args.dependsOn, 10);
+			dependsOn && dependsOn.includes && dependsOn.includes('.')
+				? dependsOn
+				: parseInt(dependsOn, 10);
 
 		log.info(
 			`Adding dependency: task ${taskId} will depend on ${dependencyId}`
@@ -66,7 +76,7 @@ export async function addDependencyDirect(args, log) {
 		// Enable silent mode to prevent console logs from interfering with JSON response
 		enableSilentMode();
 
-		// Call the core function
+		// Call the core function using the provided path
 		await addDependency(tasksPath, taskId, dependencyId);
 
 		// Restore normal logging

mcp-server/src/core/direct-functions/add-subtask.js

@@ -3,7 +3,6 @@
  */
 
 import { addSubtask } from '../../../../scripts/modules/task-manager.js';
-import { findTasksJsonPath } from '../utils/path-utils.js';
 import {
 	enableSilentMode,
 	disableSilentMode
@@ -12,6 +11,7 @@ import {
 /**
  * Add a subtask to an existing task
  * @param {Object} args - Function arguments
+ * @param {string} args.tasksJsonPath - Explicit path to the tasks.json file.
  * @param {string} args.id - Parent task ID
  * @param {string} [args.taskId] - Existing task ID to convert to subtask (optional)
  * @param {string} [args.title] - Title for new subtask (when creating a new subtask)
@@ -19,17 +19,39 @@ import {
  * @param {string} [args.details] - Implementation details for new subtask
  * @param {string} [args.status] - Status for new subtask (default: 'pending')
  * @param {string} [args.dependencies] - Comma-separated list of dependency IDs
- * @param {string} [args.file] - Path to the tasks file
  * @param {boolean} [args.skipGenerate] - Skip regenerating task files
- * @param {string} [args.projectRoot] - Project root directory
  * @param {Object} log - Logger object
  * @returns {Promise<{success: boolean, data?: Object, error?: string}>}
  */
 export async function addSubtaskDirect(args, log) {
+	// Destructure expected args
+	const {
+		tasksJsonPath,
+		id,
+		taskId,
+		title,
+		description,
+		details,
+		status,
+		dependencies: dependenciesStr,
+		skipGenerate
+	} = args;
 	try {
 		log.info(`Adding subtask with args: ${JSON.stringify(args)}`);
 
-		if (!args.id) {
+		// Check if tasksJsonPath was provided
+		if (!tasksJsonPath) {
+			log.error('addSubtaskDirect called without tasksJsonPath');
+			return {
+				success: false,
+				error: {
+					code: 'MISSING_ARGUMENT',
+					message: 'tasksJsonPath is required'
+				}
+			};
+		}
+
+		if (!id) {
 			return {
 				success: false,
 				error: {
@@ -40,7 +62,7 @@ export async function addSubtaskDirect(args, log) {
 		}
 
 		// Either taskId or title must be provided
-		if (!args.taskId && !args.title) {
+		if (!taskId && !title) {
 			return {
 				success: false,
 				error: {
@@ -50,26 +72,26 @@ export async function addSubtaskDirect(args, log) {
 			};
 		}
 
-		// Find the tasks.json path
-		const tasksPath = findTasksJsonPath(args, log);
+		// Use provided path
+		const tasksPath = tasksJsonPath;
 
 		// Parse dependencies if provided
 		let dependencies = [];
-		if (args.dependencies) {
-			dependencies = args.dependencies.split(',').map((id) => {
+		if (dependenciesStr) {
+			dependencies = dependenciesStr.split(',').map((depId) => {
 				// Handle both regular IDs and dot notation
-				return id.includes('.') ? id.trim() : parseInt(id.trim(), 10);
+				return depId.includes('.') ? depId.trim() : parseInt(depId.trim(), 10);
 			});
 		}
 
 		// Convert existingTaskId to a number if provided
-		const existingTaskId = args.taskId ? parseInt(args.taskId, 10) : null;
+		const existingTaskId = taskId ? parseInt(taskId, 10) : null;
 
 		// Convert parent ID to a number
-		const parentId = parseInt(args.id, 10);
+		const parentId = parseInt(id, 10);
 
 		// Determine if we should generate files
-		const generateFiles = !args.skipGenerate;
+		const generateFiles = !skipGenerate;
 
 		// Enable silent mode to prevent console logs from interfering with JSON response
 		enableSilentMode();
@@ -101,10 +123,10 @@ export async function addSubtaskDirect(args, log) {
 			log.info(`Creating new subtask for parent task ${parentId}`);
 
 			const newSubtaskData = {
-				title: args.title,
-				description: args.description || '',
-				details: args.details || '',
-				status: args.status || 'pending',
+				title: title,
+				description: description || '',
+				details: details || '',
+				status: status || 'pending',
 				dependencies: dependencies
 			};
 

mcp-server/src/core/direct-functions/add-tag.js

@@ -0,0 +1,198 @@
+/**
+ * add-tag.js
+ * Direct function implementation for creating a new tag
+ */
+
+import {
+	createTag,
+	createTagFromBranch
+} from '../../../../scripts/modules/task-manager/tag-management.js';
+import {
+	enableSilentMode,
+	disableSilentMode
+} from '../../../../scripts/modules/utils.js';
+import { createLogWrapper } from '../../tools/utils.js';
+
+/**
+ * Direct function wrapper for creating a new tag with error handling.
+ *
+ * @param {Object} args - Command arguments
+ * @param {string} args.name - Name of the new tag to create
+ * @param {boolean} [args.copyFromCurrent=false] - Whether to copy tasks from current tag
+ * @param {string} [args.copyFromTag] - Specific tag to copy tasks from
+ * @param {boolean} [args.fromBranch=false] - Create tag name from current git branch
+ * @param {string} [args.description] - Optional description for the tag
+ * @param {string} [args.tasksJsonPath] - Path to the tasks.json file (resolved by tool)
+ * @param {string} [args.projectRoot] - Project root path
+ * @param {Object} log - Logger object
+ * @param {Object} context - Additional context (session)
+ * @returns {Promise<Object>} - Result object { success: boolean, data?: any, error?: { code: string, message: string } }
+ */
+export async function addTagDirect(args, log, context = {}) {
+	// Destructure expected args
+	const {
+		tasksJsonPath,
+		name,
+		copyFromCurrent = false,
+		copyFromTag,
+		fromBranch = false,
+		description,
+		projectRoot
+	} = args;
+	const { session } = context;
+
+	// Enable silent mode to prevent console logs from interfering with JSON response
+	enableSilentMode();
+
+	// Create logger wrapper using the utility
+	const mcpLog = createLogWrapper(log);
+
+	try {
+		// Check if tasksJsonPath was provided
+		if (!tasksJsonPath) {
+			log.error('addTagDirect called without tasksJsonPath');
+			disableSilentMode();
+			return {
+				success: false,
+				error: {
+					code: 'MISSING_ARGUMENT',
+					message: 'tasksJsonPath is required'
+				}
+			};
+		}
+
+		// Handle --from-branch option
+		if (fromBranch) {
+			log.info('Creating tag from current git branch');
+
+			// Import git utilities
+			const gitUtils = await import(
+				'../../../../scripts/modules/utils/git-utils.js'
+			);
+
+			// Check if we're in a git repository
+			if (!(await gitUtils.isGitRepository(projectRoot))) {
+				log.error('Not in a git repository');
+				disableSilentMode();
+				return {
+					success: false,
+					error: {
+						code: 'NOT_GIT_REPO',
+						message: 'Not in a git repository. Cannot use fromBranch option.'
+					}
+				};
+			}
+
+			// Get current git branch
+			const currentBranch = await gitUtils.getCurrentBranch(projectRoot);
+			if (!currentBranch) {
+				log.error('Could not determine current git branch');
+				disableSilentMode();
+				return {
+					success: false,
+					error: {
+						code: 'NO_CURRENT_BRANCH',
+						message: 'Could not determine current git branch.'
+					}
+				};
+			}
+
+			// Prepare options for branch-based tag creation
+			const branchOptions = {
+				copyFromCurrent,
+				copyFromTag,
+				description:
+					description || `Tag created from git branch "${currentBranch}"`
+			};
+
+			// Call the createTagFromBranch function
+			const result = await createTagFromBranch(
+				tasksJsonPath,
+				currentBranch,
+				branchOptions,
+				{
+					session,
+					mcpLog,
+					projectRoot
+				},
+				'json' // outputFormat - use 'json' to suppress CLI UI
+			);
+
+			// Restore normal logging
+			disableSilentMode();
+
+			return {
+				success: true,
+				data: {
+					branchName: result.branchName,
+					tagName: result.tagName,
+					created: result.created,
+					mappingUpdated: result.mappingUpdated,
+					message: `Successfully created tag "${result.tagName}" from git branch "${result.branchName}"`
+				}
+			};
+		} else {
+			// Check required parameters for regular tag creation
+			if (!name || typeof name !== 'string') {
+				log.error('Missing required parameter: name');
+				disableSilentMode();
+				return {
+					success: false,
+					error: {
+						code: 'MISSING_PARAMETER',
+						message: 'Tag name is required and must be a string'
+					}
+				};
+			}
+
+			log.info(`Creating new tag: ${name}`);
+
+			// Prepare options
+			const options = {
+				copyFromCurrent,
+				copyFromTag,
+				description
+			};
+
+			// Call the createTag function
+			const result = await createTag(
+				tasksJsonPath,
+				name,
+				options,
+				{
+					session,
+					mcpLog,
+					projectRoot
+				},
+				'json' // outputFormat - use 'json' to suppress CLI UI
+			);
+
+			// Restore normal logging
+			disableSilentMode();
+
+			return {
+				success: true,
+				data: {
+					tagName: result.tagName,
+					created: result.created,
+					tasksCopied: result.tasksCopied,
+					sourceTag: result.sourceTag,
+					description: result.description,
+					message: `Successfully created tag "${result.tagName}"`
+				}
+			};
+		}
+	} catch (error) {
+		// Make sure to restore normal logging even if there's an error
+		disableSilentMode();
+
+		log.error(`Error in addTagDirect: ${error.message}`);
+		return {
+			success: false,
+			error: {
+				code: error.code || 'ADD_TAG_ERROR',
+				message: error.message
+			}
+		};
+	}
+}

mcp-server/src/core/direct-functions/add-task.js

@@ -4,20 +4,11 @@
  */
 
 import { addTask } from '../../../../scripts/modules/task-manager.js';
-import { findTasksJsonPath } from '../utils/path-utils.js';
 import {
 	enableSilentMode,
 	disableSilentMode
 } from '../../../../scripts/modules/utils.js';
-import {
-	getAnthropicClientForMCP,
-	getModelConfig
-} from '../utils/ai-client-utils.js';
-import {
-	_buildAddTaskPrompt,
-	parseTaskJsonResponse,
-	_handleAnthropicStream
-} from '../../../../scripts/modules/ai-services.js';
+import { createLogWrapper } from '../../tools/utils.js';
 
 /**
  * Direct function wrapper for adding a new task with error handling.
@@ -30,20 +21,47 @@ import {
  * @param {string} [args.testStrategy] - Test strategy (for manual task creation)
  * @param {string} [args.dependencies] - Comma-separated list of task IDs this task depends on
  * @param {string} [args.priority='medium'] - Task priority (high, medium, low)
- * @param {string} [args.file='tasks/tasks.json'] - Path to the tasks file
- * @param {string} [args.projectRoot] - Project root directory
+ * @param {string} [args.tasksJsonPath] - Path to the tasks.json file (resolved by tool)
  * @param {boolean} [args.research=false] - Whether to use research capabilities for task creation
+ * @param {string} [args.projectRoot] - Project root path
  * @param {Object} log - Logger object
- * @param {Object} context - Additional context (reportProgress, session)
+ * @param {Object} context - Additional context (session)
  * @returns {Promise<Object>} - Result object { success: boolean, data?: any, error?: { code: string, message: string } }
  */
 export async function addTaskDirect(args, log, context = {}) {
-	try {
-		// Enable silent mode to prevent console logs from interfering with JSON response
-		enableSilentMode();
+	// Destructure expected args (including research and projectRoot)
+	const {
+		tasksJsonPath,
+		prompt,
+		dependencies,
+		priority,
+		research,
+		projectRoot
+	} = args;
+	const { session } = context; // Destructure session from context
 
-		// Find the tasks.json path
-		const tasksPath = findTasksJsonPath(args, log);
+	// Enable silent mode to prevent console logs from interfering with JSON response
+	enableSilentMode();
+
+	// Create logger wrapper using the utility
+	const mcpLog = createLogWrapper(log);
+
+	try {
+		// Check if tasksJsonPath was provided
+		if (!tasksJsonPath) {
+			log.error('addTaskDirect called without tasksJsonPath');
+			disableSilentMode(); // Disable before returning
+			return {
+				success: false,
+				error: {
+					code: 'MISSING_ARGUMENT',
+					message: 'tasksJsonPath is required'
+				}
+			};
+		}
+
+		// Use provided path
+		const tasksPath = tasksJsonPath;
 
 		// Check if this is manual task creation or AI-driven task creation
 		const isManualCreation = args.title && args.description;
@@ -65,20 +83,19 @@ export async function addTaskDirect(args, log, context = {}) {
 		}
 
 		// Extract and prepare parameters
-		const prompt = args.prompt;
-		const dependencies = Array.isArray(args.dependencies)
-			? args.dependencies
-			: args.dependencies
-				? String(args.dependencies)
+		const taskDependencies = Array.isArray(dependencies)
+			? dependencies // Already an array if passed directly
+			: dependencies // Check if dependencies exist and are a string
+				? String(dependencies)
 						.split(',')
-						.map((id) => parseInt(id.trim(), 10))
-				: [];
-		const priority = args.priority || 'medium';
-
-		// Extract context parameters for advanced functionality
-		const { session } = context;
+						.map((id) => parseInt(id.trim(), 10)) // Split, trim, and parse
+				: []; // Default to empty array if null/undefined
+		const taskPriority = priority || 'medium'; // Default priority
 
 		let manualTaskData = null;
+		let newTaskId;
+		let telemetryData;
+		let tagInfo;
 
 		if (isManualCreation) {
 			// Create manual task data object
@@ -90,154 +107,80 @@ export async function addTaskDirect(args, log, context = {}) {
 			};
 
 			log.info(
-				`Adding new task manually with title: "${args.title}", dependencies: [${dependencies.join(', ')}], priority: ${priority}`
+				`Adding new task manually with title: "${args.title}", dependencies: [${taskDependencies.join(', ')}], priority: ${priority}`
 			);
 
 			// Call the addTask function with manual task data
-			const newTaskId = await addTask(
+			const result = await addTask(
 				tasksPath,
-				null, // No prompt needed for manual creation
-				dependencies,
-				priority,
+				null, // prompt is null for manual creation
+				taskDependencies,
+				taskPriority,
 				{
-					mcpLog: log,
-					session
+					session,
+					mcpLog,
+					projectRoot,
+					commandName: 'add-task',
+					outputType: 'mcp'
 				},
-				'json', // Use JSON output format to prevent console output
-				null, // No custom environment
-				manualTaskData // Pass the manual task data
+				'json', // outputFormat
+				manualTaskData, // Pass the manual task data
+				false, // research flag is false for manual creation
+				projectRoot // Pass projectRoot
 			);
-
-			// Restore normal logging
-			disableSilentMode();
-
-			return {
-				success: true,
-				data: {
-					taskId: newTaskId,
-					message: `Successfully added new task #${newTaskId}`
-				}
-			};
+			newTaskId = result.newTaskId;
+			telemetryData = result.telemetryData;
+			tagInfo = result.tagInfo;
 		} else {
 			// AI-driven task creation
 			log.info(
-				`Adding new task with prompt: "${prompt}", dependencies: [${dependencies.join(', ')}], priority: ${priority}`
+				`Adding new task with prompt: "${prompt}", dependencies: [${taskDependencies.join(', ')}], priority: ${taskPriority}, research: ${research}`
 			);
 
-			// Initialize AI client with session environment
-			let localAnthropic;
-			try {
-				localAnthropic = getAnthropicClientForMCP(session, log);
-			} catch (error) {
-				log.error(`Failed to initialize Anthropic client: ${error.message}`);
-				disableSilentMode();
-				return {
-					success: false,
-					error: {
-						code: 'AI_CLIENT_ERROR',
-						message: `Cannot initialize AI client: ${error.message}`
-					}
-				};
-			}
-
-			// Get model configuration from session
-			const modelConfig = getModelConfig(session);
-
-			// Read existing tasks to provide context
-			let tasksData;
-			try {
-				const fs = await import('fs');
-				tasksData = JSON.parse(fs.readFileSync(tasksPath, 'utf8'));
-			} catch (error) {
-				log.warn(`Could not read existing tasks for context: ${error.message}`);
-				tasksData = { tasks: [] };
-			}
-
-			// Build prompts for AI
-			const { systemPrompt, userPrompt } = _buildAddTaskPrompt(
-				prompt,
-				tasksData.tasks
-			);
-
-			// Make the AI call using the streaming helper
-			let responseText;
-			try {
-				responseText = await _handleAnthropicStream(
-					localAnthropic,
-					{
-						model: modelConfig.model,
-						max_tokens: modelConfig.maxTokens,
-						temperature: modelConfig.temperature,
-						messages: [{ role: 'user', content: userPrompt }],
-						system: systemPrompt
-					},
-					{
-						mcpLog: log
-					}
-				);
-			} catch (error) {
-				log.error(`AI processing failed: ${error.message}`);
-				disableSilentMode();
-				return {
-					success: false,
-					error: {
-						code: 'AI_PROCESSING_ERROR',
-						message: `Failed to generate task with AI: ${error.message}`
-					}
-				};
-			}
-
-			// Parse the AI response
-			let taskDataFromAI;
-			try {
-				taskDataFromAI = parseTaskJsonResponse(responseText);
-			} catch (error) {
-				log.error(`Failed to parse AI response: ${error.message}`);
-				disableSilentMode();
-				return {
-					success: false,
-					error: {
-						code: 'RESPONSE_PARSING_ERROR',
-						message: `Failed to parse AI response: ${error.message}`
-					}
-				};
-			}
-
-			// Call the addTask function with 'json' outputFormat to prevent console output when called via MCP
-			const newTaskId = await addTask(
+			// Call the addTask function, passing the research flag
+			const result = await addTask(
 				tasksPath,
-				prompt,
-				dependencies,
-				priority,
+				prompt, // Use the prompt for AI creation
+				taskDependencies,
+				taskPriority,
 				{
-					mcpLog: log,
-					session
+					session,
+					mcpLog,
+					projectRoot,
+					commandName: 'add-task',
+					outputType: 'mcp'
 				},
-				'json',
-				null,
-				taskDataFromAI // Pass the parsed AI result as the manual task data
+				'json', // outputFormat
+				null, // manualTaskData is null for AI creation
+				research // Pass the research flag
 			);
-
-			// Restore normal logging
-			disableSilentMode();
-
-			return {
-				success: true,
-				data: {
-					taskId: newTaskId,
-					message: `Successfully added new task #${newTaskId}`
-				}
-			};
+			newTaskId = result.newTaskId;
+			telemetryData = result.telemetryData;
+			tagInfo = result.tagInfo;
 		}
+
+		// Restore normal logging
+		disableSilentMode();
+
+		return {
+			success: true,
+			data: {
+				taskId: newTaskId,
+				message: `Successfully added new task #${newTaskId}`,
+				telemetryData: telemetryData,
+				tagInfo: tagInfo
+			}
+		};
 	} catch (error) {
 		// Make sure to restore normal logging even if there's an error
 		disableSilentMode();
 
 		log.error(`Error in addTaskDirect: ${error.message}`);
+		// Add specific error code checks if needed
 		return {
 			success: false,
 			error: {
-				code: 'ADD_TASK_ERROR',
+				code: error.code || 'ADD_TASK_ERROR', // Use error code if available
 				message: error.message
 			}
 		};

mcp-server/src/core/direct-functions/analyze-task-complexity.js

@@ -2,121 +2,178 @@
  * Direct function wrapper for analyzeTaskComplexity
  */
 
-import { analyzeTaskComplexity } from '../../../../scripts/modules/task-manager.js';
-import { findTasksJsonPath } from '../utils/path-utils.js';
+import analyzeTaskComplexity from '../../../../scripts/modules/task-manager/analyze-task-complexity.js';
 import {
 	enableSilentMode,
 	disableSilentMode,
-	isSilentMode,
-	readJSON
+	isSilentMode
 } from '../../../../scripts/modules/utils.js';
 import fs from 'fs';
-import path from 'path';
+import { createLogWrapper } from '../../tools/utils.js'; // Import the new utility
 
 /**
  * Analyze task complexity and generate recommendations
  * @param {Object} args - Function arguments
- * @param {string} [args.file] - Path to the tasks file
- * @param {string} [args.output] - Output file path for the report
- * @param {string} [args.model] - LLM model to use for analysis
+ * @param {string} args.tasksJsonPath - Explicit path to the tasks.json file.
+ * @param {string} args.outputPath - Explicit absolute path to save the report.
  * @param {string|number} [args.threshold] - Minimum complexity score to recommend expansion (1-10)
  * @param {boolean} [args.research] - Use Perplexity AI for research-backed complexity analysis
- * @param {string} [args.projectRoot] - Project root directory
+ * @param {string} [args.ids] - Comma-separated list of task IDs to analyze
+ * @param {number} [args.from] - Starting task ID in a range to analyze
+ * @param {number} [args.to] - Ending task ID in a range to analyze
+ * @param {string} [args.projectRoot] - Project root path.
  * @param {Object} log - Logger object
  * @param {Object} [context={}] - Context object containing session data
+ * @param {Object} [context.session] - MCP session object
  * @returns {Promise<{success: boolean, data?: Object, error?: {code: string, message: string}}>}
  */
 export async function analyzeTaskComplexityDirect(args, log, context = {}) {
-	const { session } = context; // Only extract session, not reportProgress
+	const { session } = context;
+	const {
+		tasksJsonPath,
+		outputPath,
+		threshold,
+		research,
+		projectRoot,
+		ids,
+		from,
+		to
+	} = args;
 
+	const logWrapper = createLogWrapper(log);
+
+	// --- Initial Checks (remain the same) ---
 	try {
 		log.info(`Analyzing task complexity with args: ${JSON.stringify(args)}`);
 
-		// Find the tasks.json path
-		const tasksPath = findTasksJsonPath(args, log);
-
-		// Determine output path
-		let outputPath = args.output || 'scripts/task-complexity-report.json';
-		if (!path.isAbsolute(outputPath) && args.projectRoot) {
-			outputPath = path.join(args.projectRoot, outputPath);
-		}
-
-		log.info(`Analyzing task complexity from: ${tasksPath}`);
-		log.info(`Output report will be saved to: ${outputPath}`);
-
-		if (args.research) {
-			log.info('Using Perplexity AI for research-backed complexity analysis');
-		}
-
-		// Create options object for analyzeTaskComplexity
-		const options = {
-			file: tasksPath,
-			output: outputPath,
-			model: args.model,
-			threshold: args.threshold,
-			research: args.research === true
-		};
-
-		// Enable silent mode to prevent console logs from interfering with JSON response
-		const wasSilent = isSilentMode();
-		if (!wasSilent) {
-			enableSilentMode();
-		}
-
-		// Create a logWrapper that matches the expected mcpLog interface as specified in utilities.mdc
-		const logWrapper = {
-			info: (message, ...args) => log.info(message, ...args),
-			warn: (message, ...args) => log.warn(message, ...args),
-			error: (message, ...args) => log.error(message, ...args),
-			debug: (message, ...args) => log.debug && log.debug(message, ...args),
-			success: (message, ...args) => log.info(message, ...args) // Map success to info
-		};
-
-		try {
-			// Call the core function with session and logWrapper as mcpLog
-			await analyzeTaskComplexity(options, {
-				session,
-				mcpLog: logWrapper // Use the wrapper instead of passing log directly
-			});
-		} catch (error) {
-			log.error(`Error in analyzeTaskComplexity: ${error.message}`);
+		if (!tasksJsonPath) {
+			log.error('analyzeTaskComplexityDirect called without tasksJsonPath');
 			return {
 				success: false,
 				error: {
-					code: 'ANALYZE_ERROR',
-					message: `Error running complexity analysis: ${error.message}`
+					code: 'MISSING_ARGUMENT',
+					message: 'tasksJsonPath is required'
+				}
+			};
+		}
+		if (!outputPath) {
+			log.error('analyzeTaskComplexityDirect called without outputPath');
+			return {
+				success: false,
+				error: { code: 'MISSING_ARGUMENT', message: 'outputPath is required' }
+			};
+		}
+
+		const tasksPath = tasksJsonPath;
+		const resolvedOutputPath = outputPath;
+
+		log.info(`Analyzing task complexity from: ${tasksPath}`);
+		log.info(`Output report will be saved to: ${resolvedOutputPath}`);
+
+		if (ids) {
+			log.info(`Analyzing specific task IDs: ${ids}`);
+		} else if (from || to) {
+			const fromStr = from !== undefined ? from : 'first';
+			const toStr = to !== undefined ? to : 'last';
+			log.info(`Analyzing tasks in range: ${fromStr} to ${toStr}`);
+		}
+
+		if (research) {
+			log.info('Using research role for complexity analysis');
+		}
+
+		// Prepare options for the core function - REMOVED mcpLog and session here
+		const coreOptions = {
+			file: tasksJsonPath,
+			output: outputPath,
+			threshold: threshold,
+			research: research === true, // Ensure boolean
+			projectRoot: projectRoot, // Pass projectRoot here
+			id: ids, // Pass the ids parameter to the core function as 'id'
+			from: from, // Pass from parameter
+			to: to // Pass to parameter
+		};
+		// --- End Initial Checks ---
+
+		// --- Silent Mode and Logger Wrapper ---
+		const wasSilent = isSilentMode();
+		if (!wasSilent) {
+			enableSilentMode(); // Still enable silent mode as a backup
+		}
+
+		let report;
+		let coreResult;
+
+		try {
+			// --- Call Core Function (Pass context separately) ---
+			// Pass coreOptions as the first argument
+			// Pass context object { session, mcpLog } as the second argument
+			coreResult = await analyzeTaskComplexity(coreOptions, {
+				session,
+				mcpLog: logWrapper,
+				commandName: 'analyze-complexity',
+				outputType: 'mcp'
+			});
+			report = coreResult.report;
+		} catch (error) {
+			log.error(
+				`Error in analyzeTaskComplexity core function: ${error.message}`
+			);
+			// Restore logging if we changed it
+			if (!wasSilent && isSilentMode()) {
+				disableSilentMode();
+			}
+			return {
+				success: false,
+				error: {
+					code: 'ANALYZE_CORE_ERROR',
+					message: `Error running core complexity analysis: ${error.message}`
 				}
 			};
 		} finally {
-			// Always restore normal logging in finally block, but only if we enabled it
-			if (!wasSilent) {
+			// Always restore normal logging in finally block if we enabled silent mode
+			if (!wasSilent && isSilentMode()) {
 				disableSilentMode();
 			}
 		}
 
-		// Verify the report file was created
-		if (!fs.existsSync(outputPath)) {
+		// --- Result Handling (remains largely the same) ---
+		// Verify the report file was created (core function writes it)
+		if (!fs.existsSync(resolvedOutputPath)) {
 			return {
 				success: false,
 				error: {
-					code: 'ANALYZE_ERROR',
-					message: 'Analysis completed but no report file was created'
+					code: 'ANALYZE_REPORT_MISSING', // Specific code
+					message:
+						'Analysis completed but no report file was created at the expected path.'
+				}
+			};
+		}
+
+		if (
+			!coreResult ||
+			!coreResult.report ||
+			typeof coreResult.report !== 'object'
+		) {
+			log.error(
+				'Core analysis function returned an invalid or undefined response.'
+			);
+			return {
+				success: false,
+				error: {
+					code: 'INVALID_CORE_RESPONSE',
+					message: 'Core analysis function returned an invalid response.'
 				}
 			};
 		}
 
-		// Read the report file
-		let report;
 		try {
-			report = JSON.parse(fs.readFileSync(outputPath, 'utf8'));
+			// Ensure complexityAnalysis exists and is an array
+			const analysisArray = Array.isArray(coreResult.report.complexityAnalysis)
+				? coreResult.report.complexityAnalysis
+				: [];
 
-			// Important: Handle different report formats
-			// The core function might return an array or an object with a complexityAnalysis property
-			const analysisArray = Array.isArray(report)
-				? report
-				: report.complexityAnalysis || [];
-
-			// Count tasks by complexity
+			// Count tasks by complexity (remains the same)
 			const highComplexityTasks = analysisArray.filter(
 				(t) => t.complexityScore >= 8
 			).length;
@@ -137,30 +194,35 @@ export async function analyzeTaskComplexityDirect(args, log, context = {}) {
 						highComplexityTasks,
 						mediumComplexityTasks,
 						lowComplexityTasks
-					}
+					},
+					fullReport: coreResult.report,
+					telemetryData: coreResult.telemetryData,
+					tagInfo: coreResult.tagInfo
 				}
 			};
 		} catch (parseError) {
-			log.error(`Error parsing report file: ${parseError.message}`);
+			// Should not happen if core function returns object, but good safety check
+			log.error(`Internal error processing report data: ${parseError.message}`);
 			return {
 				success: false,
 				error: {
-					code: 'REPORT_PARSE_ERROR',
-					message: `Error parsing complexity report: ${parseError.message}`
+					code: 'REPORT_PROCESS_ERROR',
+					message: `Internal error processing complexity report: ${parseError.message}`
 				}
 			};
 		}
+		// --- End Result Handling ---
 	} catch (error) {
-		// Make sure to restore normal logging even if there's an error
+		// Catch errors from initial checks or path resolution
+		// Make sure to restore normal logging if silent mode was enabled
 		if (isSilentMode()) {
 			disableSilentMode();
 		}
-
-		log.error(`Error in analyzeTaskComplexityDirect: ${error.message}`);
+		log.error(`Error in analyzeTaskComplexityDirect setup: ${error.message}`);
 		return {
 			success: false,
 			error: {
-				code: 'CORE_FUNCTION_ERROR',
+				code: 'DIRECT_FUNCTION_SETUP_ERROR',
 				message: error.message
 			}
 		};

mcp-server/src/core/direct-functions/clear-subtasks.js

@@ -3,29 +3,44 @@
  */
 
 import { clearSubtasks } from '../../../../scripts/modules/task-manager.js';
-import { findTasksJsonPath } from '../utils/path-utils.js';
 import {
 	enableSilentMode,
-	disableSilentMode
+	disableSilentMode,
+	readJSON
 } from '../../../../scripts/modules/utils.js';
 import fs from 'fs';
+import path from 'path';
 
 /**
  * Clear subtasks from specified tasks
  * @param {Object} args - Function arguments
+ * @param {string} args.tasksJsonPath - Explicit path to the tasks.json file.
  * @param {string} [args.id] - Task IDs (comma-separated) to clear subtasks from
  * @param {boolean} [args.all] - Clear subtasks from all tasks
- * @param {string} [args.file] - Path to the tasks file
- * @param {string} [args.projectRoot] - Project root directory
+ * @param {string} [args.tag] - Tag context to operate on (defaults to current active tag)
  * @param {Object} log - Logger object
  * @returns {Promise<{success: boolean, data?: Object, error?: {code: string, message: string}}>}
  */
 export async function clearSubtasksDirect(args, log) {
+	// Destructure expected args
+	const { tasksJsonPath, id, all, tag, projectRoot } = args;
 	try {
 		log.info(`Clearing subtasks with args: ${JSON.stringify(args)}`);
 
+		// Check if tasksJsonPath was provided
+		if (!tasksJsonPath) {
+			log.error('clearSubtasksDirect called without tasksJsonPath');
+			return {
+				success: false,
+				error: {
+					code: 'MISSING_ARGUMENT',
+					message: 'tasksJsonPath is required'
+				}
+			};
+		}
+
 		// Either id or all must be provided
-		if (!args.id && !args.all) {
+		if (!id && !all) {
 			return {
 				success: false,
 				error: {
@@ -36,8 +51,8 @@ export async function clearSubtasksDirect(args, log) {
 			};
 		}
 
-		// Find the tasks.json path
-		const tasksPath = findTasksJsonPath(args, log);
+		// Use provided path
+		const tasksPath = tasksJsonPath;
 
 		// Check if tasks.json exists
 		if (!fs.existsSync(tasksPath)) {
@@ -52,52 +67,70 @@ export async function clearSubtasksDirect(args, log) {
 
 		let taskIds;
 
+		// Use readJSON which handles silent migration and tag resolution
+		const data = readJSON(tasksPath, projectRoot, tag);
+
+		if (!data || !data.tasks) {
+			return {
+				success: false,
+				error: {
+					code: 'INPUT_VALIDATION_ERROR',
+					message: `No tasks found in tasks file: ${tasksPath}`
+				}
+			};
+		}
+
+		const currentTag = data.tag || 'master';
+		const tasks = data.tasks;
+
 		// If all is specified, get all task IDs
-		if (args.all) {
-			log.info('Clearing subtasks from all tasks');
-			const data = JSON.parse(fs.readFileSync(tasksPath, 'utf8'));
-			if (!data || !data.tasks || data.tasks.length === 0) {
+		if (all) {
+			log.info(`Clearing subtasks from all tasks in tag '${currentTag}'`);
+			if (tasks.length === 0) {
 				return {
 					success: false,
 					error: {
 						code: 'INPUT_VALIDATION_ERROR',
-						message: 'No valid tasks found in the tasks file'
+						message: `No tasks found in tag context '${currentTag}'`
 					}
 				};
 			}
-			taskIds = data.tasks.map((t) => t.id).join(',');
+			taskIds = tasks.map((t) => t.id).join(',');
 		} else {
 			// Use the provided task IDs
-			taskIds = args.id;
+			taskIds = id;
 		}
 
-		log.info(`Clearing subtasks from tasks: ${taskIds}`);
+		log.info(`Clearing subtasks from tasks: ${taskIds} in tag '${currentTag}'`);
 
 		// Enable silent mode to prevent console logs from interfering with JSON response
 		enableSilentMode();
 
 		// Call the core function
-		clearSubtasks(tasksPath, taskIds);
+		clearSubtasks(tasksPath, taskIds, { projectRoot, tag: currentTag });
 
 		// Restore normal logging
 		disableSilentMode();
 
 		// Read the updated data to provide a summary
-		const updatedData = JSON.parse(fs.readFileSync(tasksPath, 'utf8'));
+		const updatedData = readJSON(tasksPath, projectRoot, currentTag);
 		const taskIdArray = taskIds.split(',').map((id) => parseInt(id.trim(), 10));
 
 		// Build a summary of what was done
 		const clearedTasksCount = taskIdArray.length;
+		const updatedTasks = updatedData.tasks || [];
+
 		const taskSummary = taskIdArray.map((id) => {
-			const task = updatedData.tasks.find((t) => t.id === id);
+			const task = updatedTasks.find((t) => t.id === id);
 			return task ? { id, title: task.title } : { id, title: 'Task not found' };
 		});
 
 		return {
 			success: true,
 			data: {
-				message: `Successfully cleared subtasks from ${clearedTasksCount} task(s)`,
-				tasksCleared: taskSummary
+				message: `Successfully cleared subtasks from ${clearedTasksCount} task(s) in tag '${currentTag}'`,
+				tasksCleared: taskSummary,
+				tag: currentTag
 			}
 		};
 	} catch (error) {

mcp-server/src/core/direct-functions/complexity-report.js

@@ -8,37 +8,31 @@ import {
 	enableSilentMode,
 	disableSilentMode
 } from '../../../../scripts/modules/utils.js';
-import { findTasksJsonPath } from '../utils/path-utils.js';
-import { getCachedOrExecute } from '../../tools/utils.js';
-import path from 'path';
 
 /**
  * Direct function wrapper for displaying the complexity report with error handling and caching.
  *
- * @param {Object} args - Command arguments containing file path option
+ * @param {Object} args - Command arguments containing reportPath.
+ * @param {string} args.reportPath - Explicit path to the complexity report file.
  * @param {Object} log - Logger object
  * @returns {Promise<Object>} - Result object with success status and data/error information
  */
 export async function complexityReportDirect(args, log) {
+	// Destructure expected args
+	const { reportPath } = args;
 	try {
 		log.info(`Getting complexity report with args: ${JSON.stringify(args)}`);
 
-		// Get tasks file path to determine project root for the default report location
-		let tasksPath;
-		try {
-			tasksPath = findTasksJsonPath(args, log);
-		} catch (error) {
-			log.warn(
-				`Tasks file not found, using current directory: ${error.message}`
-			);
-			// Continue with default or specified report path
+		// Check if reportPath was provided
+		if (!reportPath) {
+			log.error('complexityReportDirect called without reportPath');
+			return {
+				success: false,
+				error: { code: 'MISSING_ARGUMENT', message: 'reportPath is required' }
+			};
 		}
 
-		// Get report file path from args or use default
-		const reportPath =
-			args.file ||
-			path.join(process.cwd(), 'scripts', 'task-complexity-report.json');
-
+		// Use the provided report path
 		log.info(`Looking for complexity report at: ${reportPath}`);
 
 		// Generate cache key based on report path
@@ -90,30 +84,20 @@ export async function complexityReportDirect(args, log) {
 
 		// Use the caching utility
 		try {
-			const result = await getCachedOrExecute({
-				cacheKey,
-				actionFn: coreActionFn,
-				log
-			});
-			log.info(
-				`complexityReportDirect completed. From cache: ${result.fromCache}`
-			);
-			return result; // Returns { success, data/error, fromCache }
+			const result = await coreActionFn();
+			log.info('complexityReportDirect completed');
+			return result;
 		} catch (error) {
-			// Catch unexpected errors from getCachedOrExecute itself
 			// Ensure silent mode is disabled
 			disableSilentMode();
 
-			log.error(
-				`Unexpected error during getCachedOrExecute for complexityReport: ${error.message}`
-			);
+			log.error(`Unexpected error during complexityReport: ${error.message}`);
 			return {
 				success: false,
 				error: {
 					code: 'UNEXPECTED_ERROR',
 					message: error.message
-				},
-				fromCache: false
+				}
 			};
 		}
 	} catch (error) {
@@ -126,8 +110,7 @@ export async function complexityReportDirect(args, log) {
 			error: {
 				code: 'UNEXPECTED_ERROR',
 				message: error.message
-			},
-			fromCache: false
+			}
 		};
 	}
 }

mcp-server/src/core/direct-functions/copy-tag.js

@@ -0,0 +1,125 @@
+/**
+ * copy-tag.js
+ * Direct function implementation for copying a tag
+ */
+
+import { copyTag } from '../../../../scripts/modules/task-manager/tag-management.js';
+import {
+	enableSilentMode,
+	disableSilentMode
+} from '../../../../scripts/modules/utils.js';
+import { createLogWrapper } from '../../tools/utils.js';
+
+/**
+ * Direct function wrapper for copying a tag with error handling.
+ *
+ * @param {Object} args - Command arguments
+ * @param {string} args.sourceName - Name of the source tag to copy from
+ * @param {string} args.targetName - Name of the new tag to create
+ * @param {string} [args.description] - Optional description for the new tag
+ * @param {string} [args.tasksJsonPath] - Path to the tasks.json file (resolved by tool)
+ * @param {string} [args.projectRoot] - Project root path
+ * @param {Object} log - Logger object
+ * @param {Object} context - Additional context (session)
+ * @returns {Promise<Object>} - Result object { success: boolean, data?: any, error?: { code: string, message: string } }
+ */
+export async function copyTagDirect(args, log, context = {}) {
+	// Destructure expected args
+	const { tasksJsonPath, sourceName, targetName, description, projectRoot } =
+		args;
+	const { session } = context;
+
+	// Enable silent mode to prevent console logs from interfering with JSON response
+	enableSilentMode();
+
+	// Create logger wrapper using the utility
+	const mcpLog = createLogWrapper(log);
+
+	try {
+		// Check if tasksJsonPath was provided
+		if (!tasksJsonPath) {
+			log.error('copyTagDirect called without tasksJsonPath');
+			disableSilentMode();
+			return {
+				success: false,
+				error: {
+					code: 'MISSING_ARGUMENT',
+					message: 'tasksJsonPath is required'
+				}
+			};
+		}
+
+		// Check required parameters
+		if (!sourceName || typeof sourceName !== 'string') {
+			log.error('Missing required parameter: sourceName');
+			disableSilentMode();
+			return {
+				success: false,
+				error: {
+					code: 'MISSING_PARAMETER',
+					message: 'Source tag name is required and must be a string'
+				}
+			};
+		}
+
+		if (!targetName || typeof targetName !== 'string') {
+			log.error('Missing required parameter: targetName');
+			disableSilentMode();
+			return {
+				success: false,
+				error: {
+					code: 'MISSING_PARAMETER',
+					message: 'Target tag name is required and must be a string'
+				}
+			};
+		}
+
+		log.info(`Copying tag from "${sourceName}" to "${targetName}"`);
+
+		// Prepare options
+		const options = {
+			description
+		};
+
+		// Call the copyTag function
+		const result = await copyTag(
+			tasksJsonPath,
+			sourceName,
+			targetName,
+			options,
+			{
+				session,
+				mcpLog,
+				projectRoot
+			},
+			'json' // outputFormat - use 'json' to suppress CLI UI
+		);
+
+		// Restore normal logging
+		disableSilentMode();
+
+		return {
+			success: true,
+			data: {
+				sourceName: result.sourceName,
+				targetName: result.targetName,
+				copied: result.copied,
+				tasksCopied: result.tasksCopied,
+				description: result.description,
+				message: `Successfully copied tag from "${result.sourceName}" to "${result.targetName}"`
+			}
+		};
+	} catch (error) {
+		// Make sure to restore normal logging even if there's an error
+		disableSilentMode();
+
+		log.error(`Error in copyTagDirect: ${error.message}`);
+		return {
+			success: false,
+			error: {
+				code: error.code || 'COPY_TAG_ERROR',
+				message: error.message
+			}
+		};
+	}
+}

mcp-server/src/core/direct-functions/create-tag-from-branch.js

@@ -0,0 +1,159 @@
+/**
+ * create-tag-from-branch.js
+ * Direct function implementation for creating tags from git branches
+ */
+
+import { createTagFromBranch } from '../../../../scripts/modules/task-manager/tag-management.js';
+import {
+	getCurrentBranch,
+	isGitRepository
+} from '../../../../scripts/modules/utils/git-utils.js';
+import {
+	enableSilentMode,
+	disableSilentMode
+} from '../../../../scripts/modules/utils.js';
+import { createLogWrapper } from '../../tools/utils.js';
+
+/**
+ * Direct function wrapper for creating tags from git branches with error handling.
+ *
+ * @param {Object} args - Command arguments
+ * @param {string} args.tasksJsonPath - Path to the tasks.json file (resolved by tool)
+ * @param {string} [args.branchName] - Git branch name (optional, uses current branch if not provided)
+ * @param {boolean} [args.copyFromCurrent] - Copy tasks from current tag
+ * @param {string} [args.copyFromTag] - Copy tasks from specific tag
+ * @param {string} [args.description] - Custom description for the tag
+ * @param {boolean} [args.autoSwitch] - Automatically switch to the new tag
+ * @param {string} [args.projectRoot] - Project root path
+ * @param {Object} log - Logger object
+ * @param {Object} context - Additional context (session)
+ * @returns {Promise<Object>} - Result object { success: boolean, data?: any, error?: { code: string, message: string } }
+ */
+export async function createTagFromBranchDirect(args, log, context = {}) {
+	// Destructure expected args
+	const {
+		tasksJsonPath,
+		branchName,
+		copyFromCurrent,
+		copyFromTag,
+		description,
+		autoSwitch,
+		projectRoot
+	} = args;
+	const { session } = context;
+
+	// Enable silent mode to prevent console logs from interfering with JSON response
+	enableSilentMode();
+
+	// Create logger wrapper using the utility
+	const mcpLog = createLogWrapper(log);
+
+	try {
+		// Check if tasksJsonPath was provided
+		if (!tasksJsonPath) {
+			log.error('createTagFromBranchDirect called without tasksJsonPath');
+			disableSilentMode();
+			return {
+				success: false,
+				error: {
+					code: 'MISSING_ARGUMENT',
+					message: 'tasksJsonPath is required'
+				}
+			};
+		}
+
+		// Check if projectRoot was provided
+		if (!projectRoot) {
+			log.error('createTagFromBranchDirect called without projectRoot');
+			disableSilentMode();
+			return {
+				success: false,
+				error: {
+					code: 'MISSING_ARGUMENT',
+					message: 'projectRoot is required'
+				}
+			};
+		}
+
+		// Check if we're in a git repository
+		if (!(await isGitRepository(projectRoot))) {
+			log.error('Not in a git repository');
+			disableSilentMode();
+			return {
+				success: false,
+				error: {
+					code: 'NOT_GIT_REPOSITORY',
+					message: 'Not in a git repository. Cannot create tag from branch.'
+				}
+			};
+		}
+
+		// Determine branch name
+		let targetBranch = branchName;
+		if (!targetBranch) {
+			targetBranch = await getCurrentBranch(projectRoot);
+			if (!targetBranch) {
+				log.error('Could not determine current git branch');
+				disableSilentMode();
+				return {
+					success: false,
+					error: {
+						code: 'NO_CURRENT_BRANCH',
+						message: 'Could not determine current git branch'
+					}
+				};
+			}
+		}
+
+		log.info(`Creating tag from git branch: ${targetBranch}`);
+
+		// Prepare options
+		const options = {
+			copyFromCurrent: copyFromCurrent || false,
+			copyFromTag,
+			description:
+				description || `Tag created from git branch "${targetBranch}"`,
+			autoSwitch: autoSwitch || false
+		};
+
+		// Call the createTagFromBranch function
+		const result = await createTagFromBranch(
+			tasksJsonPath,
+			targetBranch,
+			options,
+			{
+				session,
+				mcpLog,
+				projectRoot
+			},
+			'json' // outputFormat - use 'json' to suppress CLI UI
+		);
+
+		// Restore normal logging
+		disableSilentMode();
+
+		return {
+			success: true,
+			data: {
+				branchName: result.branchName,
+				tagName: result.tagName,
+				created: result.created,
+				mappingUpdated: result.mappingUpdated,
+				autoSwitched: result.autoSwitched,
+				message: `Successfully created tag "${result.tagName}" from branch "${result.branchName}"`
+			}
+		};
+	} catch (error) {
+		// Make sure to restore normal logging even if there's an error
+		disableSilentMode();
+
+		log.error(`Error in createTagFromBranchDirect: ${error.message}`);
+		return {
+			success: false,
+			error: {
+				code: error.code || 'CREATE_TAG_FROM_BRANCH_ERROR',
+				message: error.message
+			}
+		};
+	}
+}

mcp-server/src/core/direct-functions/delete-tag.js

@@ -0,0 +1,110 @@
+/**
+ * delete-tag.js
+ * Direct function implementation for deleting a tag
+ */
+
+import { deleteTag } from '../../../../scripts/modules/task-manager/tag-management.js';
+import {
+	enableSilentMode,
+	disableSilentMode
+} from '../../../../scripts/modules/utils.js';
+import { createLogWrapper } from '../../tools/utils.js';
+
+/**
+ * Direct function wrapper for deleting a tag with error handling.
+ *
+ * @param {Object} args - Command arguments
+ * @param {string} args.name - Name of the tag to delete
+ * @param {boolean} [args.yes=false] - Skip confirmation prompts
+ * @param {string} [args.tasksJsonPath] - Path to the tasks.json file (resolved by tool)
+ * @param {string} [args.projectRoot] - Project root path
+ * @param {Object} log - Logger object
+ * @param {Object} context - Additional context (session)
+ * @returns {Promise<Object>} - Result object { success: boolean, data?: any, error?: { code: string, message: string } }
+ */
+export async function deleteTagDirect(args, log, context = {}) {
+	// Destructure expected args
+	const { tasksJsonPath, name, yes = false, projectRoot } = args;
+	const { session } = context;
+
+	// Enable silent mode to prevent console logs from interfering with JSON response
+	enableSilentMode();
+
+	// Create logger wrapper using the utility
+	const mcpLog = createLogWrapper(log);
+
+	try {
+		// Check if tasksJsonPath was provided
+		if (!tasksJsonPath) {
+			log.error('deleteTagDirect called without tasksJsonPath');
+			disableSilentMode();
+			return {
+				success: false,
+				error: {
+					code: 'MISSING_ARGUMENT',
+					message: 'tasksJsonPath is required'
+				}
+			};
+		}
+
+		// Check required parameters
+		if (!name || typeof name !== 'string') {
+			log.error('Missing required parameter: name');
+			disableSilentMode();
+			return {
+				success: false,
+				error: {
+					code: 'MISSING_PARAMETER',
+					message: 'Tag name is required and must be a string'
+				}
+			};
+		}
+
+		log.info(`Deleting tag: ${name}`);
+
+		// Prepare options
+		const options = {
+			yes // For MCP, we always skip confirmation prompts
+		};
+
+		// Call the deleteTag function
+		const result = await deleteTag(
+			tasksJsonPath,
+			name,
+			options,
+			{
+				session,
+				mcpLog,
+				projectRoot
+			},
+			'json' // outputFormat - use 'json' to suppress CLI UI
+		);
+
+		// Restore normal logging
+		disableSilentMode();
+
+		return {
+			success: true,
+			data: {
+				tagName: result.tagName,
+				deleted: result.deleted,
+				tasksDeleted: result.tasksDeleted,
+				wasCurrentTag: result.wasCurrentTag,
+				switchedToMaster: result.switchedToMaster,
+				message: `Successfully deleted tag "${result.tagName}"`
+			}
+		};
+	} catch (error) {
+		// Make sure to restore normal logging even if there's an error
+		disableSilentMode();
+
+		log.error(`Error in deleteTagDirect: ${error.message}`);
+		return {
+			success: false,
+			error: {
+				code: error.code || 'DELETE_TAG_ERROR',
+				message: error.message
+			}
+		};
+	}
+}

mcp-server/src/core/direct-functions/expand-all-tasks.js

@@ -5,122 +5,93 @@
 import { expandAllTasks } from '../../../../scripts/modules/task-manager.js';
 import {
 	enableSilentMode,
-	disableSilentMode,
-	isSilentMode
+	disableSilentMode
 } from '../../../../scripts/modules/utils.js';
-import { findTasksJsonPath } from '../utils/path-utils.js';
-import { getAnthropicClientForMCP } from '../utils/ai-client-utils.js';
-import path from 'path';
-import fs from 'fs';
+import { createLogWrapper } from '../../tools/utils.js';
 
 /**
- * Expand all pending tasks with subtasks
+ * Expand all pending tasks with subtasks (Direct Function Wrapper)
  * @param {Object} args - Function arguments
+ * @param {string} args.tasksJsonPath - Explicit path to the tasks.json file.
  * @param {number|string} [args.num] - Number of subtasks to generate
- * @param {boolean} [args.research] - Enable Perplexity AI for research-backed subtask generation
+ * @param {boolean} [args.research] - Enable research-backed subtask generation
  * @param {string} [args.prompt] - Additional context to guide subtask generation
  * @param {boolean} [args.force] - Force regeneration of subtasks for tasks that already have them
- * @param {string} [args.file] - Path to the tasks file
- * @param {string} [args.projectRoot] - Project root directory
- * @param {Object} log - Logger object
+ * @param {string} [args.projectRoot] - Project root path.
+ * @param {Object} log - Logger object from FastMCP
  * @param {Object} context - Context object containing session
  * @returns {Promise<{success: boolean, data?: Object, error?: {code: string, message: string}}>}
  */
 export async function expandAllTasksDirect(args, log, context = {}) {
-	const { session } = context; // Only extract session, not reportProgress
+	const { session } = context; // Extract session
+	// Destructure expected args, including projectRoot
+	const { tasksJsonPath, num, research, prompt, force, projectRoot } = args;
 
-	try {
-		log.info(`Expanding all tasks with args: ${JSON.stringify(args)}`);
+	// Create logger wrapper using the utility
+	const mcpLog = createLogWrapper(log);
 
-		// Enable silent mode early to prevent any console output
-		enableSilentMode();
-
-		try {
-			// Find the tasks.json path
-			const tasksPath = findTasksJsonPath(args, log);
-
-			// Parse parameters
-			const numSubtasks = args.num ? parseInt(args.num, 10) : undefined;
-			const useResearch = args.research === true;
-			const additionalContext = args.prompt || '';
-			const forceFlag = args.force === true;
-
-			log.info(
-				`Expanding all tasks with ${numSubtasks || 'default'} subtasks each...`
-			);
-
-			if (useResearch) {
-				log.info('Using Perplexity AI for research-backed subtask generation');
-
-				// Initialize AI client for research-backed expansion
-				try {
-					await getAnthropicClientForMCP(session, log);
-				} catch (error) {
-					// Ensure silent mode is disabled before returning error
-					disableSilentMode();
-
-					log.error(`Failed to initialize AI client: ${error.message}`);
-					return {
-						success: false,
-						error: {
-							code: 'AI_CLIENT_ERROR',
-							message: `Cannot initialize AI client: ${error.message}`
-						}
-					};
-				}
-			}
-
-			if (additionalContext) {
-				log.info(`Additional context: "${additionalContext}"`);
-			}
-			if (forceFlag) {
-				log.info('Force regeneration of subtasks is enabled');
-			}
-
-			// Call the core function with session context for AI operations
-			// and outputFormat as 'json' to prevent UI elements
-			const result = await expandAllTasks(
-				tasksPath,
-				numSubtasks,
-				useResearch,
-				additionalContext,
-				forceFlag,
-				{ mcpLog: log, session },
-				'json' // Use JSON output format to prevent UI elements
-			);
-
-			// The expandAllTasks function now returns a result object
-			return {
-				success: true,
-				data: {
-					message: 'Successfully expanded all pending tasks with subtasks',
-					details: {
-						numSubtasks: numSubtasks,
-						research: useResearch,
-						prompt: additionalContext,
-						force: forceFlag,
-						tasksExpanded: result.expandedCount,
-						totalEligibleTasks: result.tasksToExpand
-					}
-				}
-			};
-		} finally {
-			// Restore normal logging in finally block to ensure it runs even if there's an error
-			disableSilentMode();
-		}
-	} catch (error) {
-		// Ensure silent mode is disabled if an error occurs
-		if (isSilentMode()) {
-			disableSilentMode();
-		}
-
-		log.error(`Error in expandAllTasksDirect: ${error.message}`);
+	if (!tasksJsonPath) {
+		log.error('expandAllTasksDirect called without tasksJsonPath');
 		return {
 			success: false,
 			error: {
-				code: 'CORE_FUNCTION_ERROR',
-				message: error.message
+				code: 'MISSING_ARGUMENT',
+				message: 'tasksJsonPath is required'
 			}
 		};
 	}
+
+	enableSilentMode(); // Enable silent mode for the core function call
+	try {
+		log.info(
+			`Calling core expandAllTasks with args: ${JSON.stringify({ num, research, prompt, force, projectRoot })}`
+		);
+
+		// Parse parameters (ensure correct types)
+		const numSubtasks = num ? parseInt(num, 10) : undefined;
+		const useResearch = research === true;
+		const additionalContext = prompt || '';
+		const forceFlag = force === true;
+
+		// Call the core function, passing options and the context object { session, mcpLog, projectRoot }
+		const result = await expandAllTasks(
+			tasksJsonPath,
+			numSubtasks,
+			useResearch,
+			additionalContext,
+			forceFlag,
+			{ session, mcpLog, projectRoot },
+			'json'
+		);
+
+		// Core function now returns a summary object including the *aggregated* telemetryData
+		return {
+			success: true,
+			data: {
+				message: `Expand all operation completed. Expanded: ${result.expandedCount}, Failed: ${result.failedCount}, Skipped: ${result.skippedCount}`,
+				details: {
+					expandedCount: result.expandedCount,
+					failedCount: result.failedCount,
+					skippedCount: result.skippedCount,
+					tasksToExpand: result.tasksToExpand
+				},
+				telemetryData: result.telemetryData // Pass the aggregated object
+			}
+		};
+	} catch (error) {
+		// Log the error using the MCP logger
+		log.error(`Error during core expandAllTasks execution: ${error.message}`);
+		// Optionally log stack trace if available and debug enabled
+		// if (error.stack && log.debug) { log.debug(error.stack); }
+
+		return {
+			success: false,
+			error: {
+				code: 'CORE_FUNCTION_ERROR', // Or a more specific code if possible
+				message: error.message
+			}
+		};
+	} finally {
+		disableSilentMode(); // IMPORTANT: Ensure silent mode is always disabled
+	}
 }

mcp-server/src/core/direct-functions/expand-task.js

@@ -3,7 +3,7 @@
  * Direct function implementation for expanding a task into subtasks
  */
 
-import { expandTask } from '../../../../scripts/modules/task-manager.js';
+import expandTask from '../../../../scripts/modules/task-manager/expand-task.js';
 import {
 	readJSON,
 	writeJSON,
@@ -11,24 +11,30 @@ import {
 	disableSilentMode,
 	isSilentMode
 } from '../../../../scripts/modules/utils.js';
-import { findTasksJsonPath } from '../utils/path-utils.js';
-import {
-	getAnthropicClientForMCP,
-	getModelConfig
-} from '../utils/ai-client-utils.js';
 import path from 'path';
 import fs from 'fs';
+import { createLogWrapper } from '../../tools/utils.js';
 
 /**
  * Direct function wrapper for expanding a task into subtasks with error handling.
  *
  * @param {Object} args - Command arguments
+ * @param {string} args.tasksJsonPath - Explicit path to the tasks.json file.
+ * @param {string} args.id - The ID of the task to expand.
+ * @param {number|string} [args.num] - Number of subtasks to generate.
+ * @param {boolean} [args.research] - Enable research role for subtask generation.
+ * @param {string} [args.prompt] - Additional context to guide subtask generation.
+ * @param {boolean} [args.force] - Force expansion even if subtasks exist.
+ * @param {string} [args.projectRoot] - Project root directory.
  * @param {Object} log - Logger object
- * @param {Object} context - Context object containing session and reportProgress
- * @returns {Promise<Object>} - Task expansion result { success: boolean, data?: any, error?: { code: string, message: string }, fromCache: boolean }
+ * @param {Object} context - Context object containing session
+ * @param {Object} [context.session] - MCP Session object
+ * @returns {Promise<Object>} - Task expansion result { success: boolean, data?: any, error?: { code: string, message: string } }
  */
 export async function expandTaskDirect(args, log, context = {}) {
-	const { session } = context;
+	const { session } = context; // Extract session
+	// Destructure expected args, including projectRoot
+	const { tasksJsonPath, id, num, research, prompt, force, projectRoot } = args;
 
 	// Log session root data for debugging
 	log.info(
@@ -40,48 +46,25 @@ export async function expandTaskDirect(args, log, context = {}) {
 		})}`
 	);
 
-	let tasksPath;
-	try {
-		// If a direct file path is provided, use it directly
-		if (args.file && fs.existsSync(args.file)) {
-			log.info(
-				`[expandTaskDirect] Using explicitly provided tasks file: ${args.file}`
-			);
-			tasksPath = args.file;
-		} else {
-			// Find the tasks path through standard logic
-			log.info(
-				`[expandTaskDirect] No direct file path provided or file not found at ${args.file}, searching using findTasksJsonPath`
-			);
-			tasksPath = findTasksJsonPath(args, log);
-		}
-	} catch (error) {
-		log.error(
-			`[expandTaskDirect] Error during tasksPath determination: ${error.message}`
-		);
-
-		// Include session roots information in error
-		const sessionRootsInfo = session
-			? `\nSession.roots: ${JSON.stringify(session.roots)}\n` +
-				`Current Working Directory: ${process.cwd()}\n` +
-				`Args.projectRoot: ${args.projectRoot}\n` +
-				`Args.file: ${args.file}\n`
-			: '\nSession object not available';
-
+	// Check if tasksJsonPath was provided
+	if (!tasksJsonPath) {
+		log.error('expandTaskDirect called without tasksJsonPath');
 		return {
 			success: false,
 			error: {
-				code: 'FILE_NOT_FOUND_ERROR',
-				message: `Error determining tasksPath: ${error.message}${sessionRootsInfo}`
-			},
-			fromCache: false
+				code: 'MISSING_ARGUMENT',
+				message: 'tasksJsonPath is required'
+			}
 		};
 	}
 
-	log.info(`[expandTaskDirect] Determined tasksPath: ${tasksPath}`);
+	// Use provided path
+	const tasksPath = tasksJsonPath;
+
+	log.info(`[expandTaskDirect] Using tasksPath: ${tasksPath}`);
 
 	// Validate task ID
-	const taskId = args.id ? parseInt(args.id, 10) : null;
+	const taskId = id ? parseInt(id, 10) : null;
 	if (!taskId) {
 		log.error('Task ID is required');
 		return {
@@ -89,43 +72,24 @@ export async function expandTaskDirect(args, log, context = {}) {
 			error: {
 				code: 'INPUT_VALIDATION_ERROR',
 				message: 'Task ID is required'
-			},
-			fromCache: false
+			}
 		};
 	}
 
 	// Process other parameters
-	const numSubtasks = args.num ? parseInt(args.num, 10) : undefined;
-	const useResearch = args.research === true;
-	const additionalContext = args.prompt || '';
-
-	// Initialize AI client if needed (for expandTask function)
-	try {
-		// This ensures the AI client is available by checking it
-		if (useResearch) {
-			log.info('Verifying AI client for research-backed expansion');
-			await getAnthropicClientForMCP(session, log);
-		}
-	} catch (error) {
-		log.error(`Failed to initialize AI client: ${error.message}`);
-		return {
-			success: false,
-			error: {
-				code: 'AI_CLIENT_ERROR',
-				message: `Cannot initialize AI client: ${error.message}`
-			},
-			fromCache: false
-		};
-	}
+	const numSubtasks = num ? parseInt(num, 10) : undefined;
+	const useResearch = research === true;
+	const additionalContext = prompt || '';
+	const forceFlag = force === true;
 
 	try {
 		log.info(
-			`[expandTaskDirect] Expanding task ${taskId} into ${numSubtasks || 'default'} subtasks. Research: ${useResearch}`
+			`[expandTaskDirect] Expanding task ${taskId} into ${numSubtasks || 'default'} subtasks. Research: ${useResearch}, Force: ${forceFlag}`
 		);
 
 		// Read tasks data
 		log.info(`[expandTaskDirect] Attempting to read JSON from: ${tasksPath}`);
-		const data = readJSON(tasksPath);
+		const data = readJSON(tasksPath, projectRoot);
 		log.info(
 			`[expandTaskDirect] Result of readJSON: ${data ? 'Data read successfully' : 'readJSON returned null or undefined'}`
 		);
@@ -139,8 +103,7 @@ export async function expandTaskDirect(args, log, context = {}) {
 				error: {
 					code: 'INVALID_TASKS_FILE',
 					message: `No valid tasks found in ${tasksPath}. readJSON returned: ${JSON.stringify(data)}`
-				},
-				fromCache: false
+				}
 			};
 		}
 
@@ -155,8 +118,7 @@ export async function expandTaskDirect(args, log, context = {}) {
 				error: {
 					code: 'TASK_NOT_FOUND',
 					message: `Task with ID ${taskId} not found`
-				},
-				fromCache: false
+				}
 			};
 		}
 
@@ -167,38 +129,41 @@ export async function expandTaskDirect(args, log, context = {}) {
 				error: {
 					code: 'TASK_COMPLETED',
 					message: `Task ${taskId} is already marked as ${task.status} and cannot be expanded`
-				},
-				fromCache: false
+				}
 			};
 		}
 
-		// Check for existing subtasks
+		// Check for existing subtasks and force flag
 		const hasExistingSubtasks = task.subtasks && task.subtasks.length > 0;
-
-		// If the task already has subtasks, just return it (matching core behavior)
-		if (hasExistingSubtasks) {
-			log.info(`Task ${taskId} already has ${task.subtasks.length} subtasks`);
+		if (hasExistingSubtasks && !forceFlag) {
+			log.info(
+				`Task ${taskId} already has ${task.subtasks.length} subtasks. Use --force to overwrite.`
+			);
 			return {
 				success: true,
 				data: {
+					message: `Task ${taskId} already has subtasks. Expansion skipped.`,
 					task,
 					subtasksAdded: 0,
 					hasExistingSubtasks
-				},
-				fromCache: false
+				}
 			};
 		}
 
+		// If force flag is set, clear existing subtasks
+		if (hasExistingSubtasks && forceFlag) {
+			log.info(
+				`Force flag set. Clearing existing subtasks for task ${taskId}.`
+			);
+			task.subtasks = [];
+		}
+
 		// Keep a copy of the task before modification
 		const originalTask = JSON.parse(JSON.stringify(task));
 
 		// Tracking subtasks count before expansion
 		const subtasksCountBefore = task.subtasks ? task.subtasks.length : 0;
 
-		// Create a backup of the tasks.json file
-		const backupPath = path.join(path.dirname(tasksPath), 'tasks.json.bak');
-		fs.copyFileSync(tasksPath, backupPath);
-
 		// Directly modify the data instead of calling the CLI function
 		if (!task.subtasks) {
 			task.subtasks = [];
@@ -207,26 +172,38 @@ export async function expandTaskDirect(args, log, context = {}) {
 		// Save tasks.json with potentially empty subtasks array
 		writeJSON(tasksPath, data);
 
+		// Create logger wrapper using the utility
+		const mcpLog = createLogWrapper(log);
+
+		let wasSilent; // Declare wasSilent outside the try block
 		// Process the request
 		try {
 			// Enable silent mode to prevent console logs from interfering with JSON response
-			enableSilentMode();
+			wasSilent = isSilentMode(); // Assign inside the try block
+			if (!wasSilent) enableSilentMode();
 
-			// Call expandTask with session context to ensure AI client is properly initialized
-			const result = await expandTask(
+			// Call the core expandTask function with the wrapped logger and projectRoot
+			const coreResult = await expandTask(
 				tasksPath,
 				taskId,
 				numSubtasks,
 				useResearch,
 				additionalContext,
-				{ mcpLog: log, session } // Only pass mcpLog and session, NOT reportProgress
+				{
+					mcpLog,
+					session,
+					projectRoot,
+					commandName: 'expand-task',
+					outputType: 'mcp'
+				},
+				forceFlag
 			);
 
 			// Restore normal logging
-			disableSilentMode();
+			if (!wasSilent && isSilentMode()) disableSilentMode();
 
 			// Read the updated data
-			const updatedData = readJSON(tasksPath);
+			const updatedData = readJSON(tasksPath, projectRoot);
 			const updatedTask = updatedData.tasks.find((t) => t.id === taskId);
 
 			// Calculate how many subtasks were added
@@ -234,22 +211,23 @@ export async function expandTaskDirect(args, log, context = {}) {
 				? updatedTask.subtasks.length - subtasksCountBefore
 				: 0;
 
-			// Return the result
+			// Return the result, including telemetryData
 			log.info(
 				`Successfully expanded task ${taskId} with ${subtasksAdded} new subtasks`
 			);
 			return {
 				success: true,
 				data: {
-					task: updatedTask,
+					task: coreResult.task,
 					subtasksAdded,
-					hasExistingSubtasks
-				},
-				fromCache: false
+					hasExistingSubtasks,
+					telemetryData: coreResult.telemetryData,
+					tagInfo: coreResult.tagInfo
+				}
 			};
 		} catch (error) {
 			// Make sure to restore normal logging even if there's an error
-			disableSilentMode();
+			if (!wasSilent && isSilentMode()) disableSilentMode();
 
 			log.error(`Error expanding task: ${error.message}`);
 			return {
@@ -257,8 +235,7 @@ export async function expandTaskDirect(args, log, context = {}) {
 				error: {
 					code: 'CORE_FUNCTION_ERROR',
 					message: error.message || 'Failed to expand task'
-				},
-				fromCache: false
+				}
 			};
 		}
 	} catch (error) {
@@ -268,8 +245,7 @@ export async function expandTaskDirect(args, log, context = {}) {
 			error: {
 				code: 'CORE_FUNCTION_ERROR',
 				message: error.message || 'Failed to expand task'
-			},
-			fromCache: false
+			}
 		};
 	}
 }

mcp-server/src/core/direct-functions/fix-dependencies.js

@@ -3,7 +3,6 @@
  */
 
 import { fixDependenciesCommand } from '../../../../scripts/modules/dependency-manager.js';
-import { findTasksJsonPath } from '../utils/path-utils.js';
 import {
 	enableSilentMode,
 	disableSilentMode
@@ -13,17 +12,30 @@ import fs from 'fs';
 /**
  * Fix invalid dependencies in tasks.json automatically
  * @param {Object} args - Function arguments
- * @param {string} [args.file] - Path to the tasks file
- * @param {string} [args.projectRoot] - Project root directory
+ * @param {string} args.tasksJsonPath - Explicit path to the tasks.json file.
  * @param {Object} log - Logger object
  * @returns {Promise<{success: boolean, data?: Object, error?: {code: string, message: string}}>}
  */
 export async function fixDependenciesDirect(args, log) {
+	// Destructure expected args
+	const { tasksJsonPath } = args;
 	try {
-		log.info(`Fixing invalid dependencies in tasks...`);
+		log.info(`Fixing invalid dependencies in tasks: ${tasksJsonPath}`);
 
-		// Find the tasks.json path
-		const tasksPath = findTasksJsonPath(args, log);
+		// Check if tasksJsonPath was provided
+		if (!tasksJsonPath) {
+			log.error('fixDependenciesDirect called without tasksJsonPath');
+			return {
+				success: false,
+				error: {
+					code: 'MISSING_ARGUMENT',
+					message: 'tasksJsonPath is required'
+				}
+			};
+		}
+
+		// Use provided path
+		const tasksPath = tasksJsonPath;
 
 		// Verify the file exists
 		if (!fs.existsSync(tasksPath)) {
@@ -39,7 +51,7 @@ export async function fixDependenciesDirect(args, log) {
 		// Enable silent mode to prevent console logs from interfering with JSON response
 		enableSilentMode();
 
-		// Call the original command function
+		// Call the original command function using the provided path
 		await fixDependenciesCommand(tasksPath);
 
 		// Restore normal logging

mcp-server/src/core/direct-functions/generate-task-files.js

@@ -8,40 +8,43 @@ import {
 	enableSilentMode,
 	disableSilentMode
 } from '../../../../scripts/modules/utils.js';
-import { findTasksJsonPath } from '../utils/path-utils.js';
-import path from 'path';
 
 /**
  * Direct function wrapper for generateTaskFiles with error handling.
  *
- * @param {Object} args - Command arguments containing file and output path options.
+ * @param {Object} args - Command arguments containing tasksJsonPath and outputDir.
  * @param {Object} log - Logger object.
  * @returns {Promise<Object>} - Result object with success status and data/error information.
  */
 export async function generateTaskFilesDirect(args, log) {
+	// Destructure expected args
+	const { tasksJsonPath, outputDir } = args;
 	try {
 		log.info(`Generating task files with args: ${JSON.stringify(args)}`);
 
-		// Get tasks file path
-		let tasksPath;
-		try {
-			tasksPath = findTasksJsonPath(args, log);
-		} catch (error) {
-			log.error(`Error finding tasks file: ${error.message}`);
+		// Check if paths were provided
+		if (!tasksJsonPath) {
+			const errorMessage = 'tasksJsonPath is required but was not provided.';
+			log.error(errorMessage);
 			return {
 				success: false,
-				error: { code: 'TASKS_FILE_ERROR', message: error.message },
-				fromCache: false
+				error: { code: 'MISSING_ARGUMENT', message: errorMessage }
+			};
+		}
+		if (!outputDir) {
+			const errorMessage = 'outputDir is required but was not provided.';
+			log.error(errorMessage);
+			return {
+				success: false,
+				error: { code: 'MISSING_ARGUMENT', message: errorMessage }
 			};
 		}
 
-		// Get output directory (defaults to the same directory as the tasks file)
-		let outputDir = args.output;
-		if (!outputDir) {
-			outputDir = path.dirname(tasksPath);
-		}
+		// Use the provided paths
+		const tasksPath = tasksJsonPath;
+		const resolvedOutputDir = outputDir;
 
-		log.info(`Generating task files from ${tasksPath} to ${outputDir}`);
+		log.info(`Generating task files from ${tasksPath} to ${resolvedOutputDir}`);
 
 		// Execute core generateTaskFiles function in a separate try/catch
 		try {
@@ -49,7 +52,7 @@ export async function generateTaskFilesDirect(args, log) {
 			enableSilentMode();
 
 			// The function is synchronous despite being awaited elsewhere
-			generateTaskFiles(tasksPath, outputDir);
+			generateTaskFiles(tasksPath, resolvedOutputDir);
 
 			// Restore normal logging after task generation
 			disableSilentMode();
@@ -60,8 +63,7 @@ export async function generateTaskFilesDirect(args, log) {
 			log.error(`Error in generateTaskFiles: ${genError.message}`);
 			return {
 				success: false,
-				error: { code: 'GENERATE_FILES_ERROR', message: genError.message },
-				fromCache: false
+				error: { code: 'GENERATE_FILES_ERROR', message: genError.message }
 			};
 		}
 
@@ -70,12 +72,11 @@ export async function generateTaskFilesDirect(args, log) {
 			success: true,
 			data: {
 				message: `Successfully generated task files`,
-				tasksPath,
-				outputDir,
+				tasksPath: tasksPath,
+				outputDir: resolvedOutputDir,
 				taskFiles:
 					'Individual task files have been generated in the output directory'
-			},
-			fromCache: false // This operation always modifies state and should never be cached
+			}
 		};
 	} catch (error) {
 		// Make sure to restore normal logging if an outer error occurs
@@ -87,8 +88,7 @@ export async function generateTaskFilesDirect(args, log) {
 			error: {
 				code: 'GENERATE_TASKS_ERROR',
 				message: error.message || 'Unknown error generating task files'
-			},
-			fromCache: false
+			}
 		};
 	}
 }