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Author SHA1 Message Date
github-actions[bot]
ef1deec947 Version Packages (#842) 2025-06-22 00:00:00 +03:00
Ralph Khreish
b40139ca05 Release 0.18.0 (#840)
* Update SWE scores (#657)

* docs: Auto-update and format models.md

* feat: Flexible brand rules management (#460)

* chore(docs): update docs and rules related to model management.

* feat(ai): Add OpenRouter AI provider support

Integrates the OpenRouter AI provider using the Vercel AI SDK adapter (@openrouter/ai-sdk-provider). This allows users to configure and utilize models available through the OpenRouter platform.

- Added src/ai-providers/openrouter.js with standard Vercel AI SDK wrapper functions (generateText, streamText, generateObject).

- Updated ai-services-unified.js to include the OpenRouter provider in the PROVIDER_FUNCTIONS map and API key resolution logic.

- Verified config-manager.js handles OpenRouter API key checks correctly.

- Users can configure OpenRouter models via .taskmasterconfig using the task-master models command or MCP models tool. Requires OPENROUTER_API_KEY.

- Enhanced error handling in ai-services-unified.js to provide clearer messages when generateObjectService fails due to lack of underlying tool support in the selected model/provider endpoint.

* feat(cli): Add --status/-s filter flag to show command and get-task MCP tool

Implements the ability to filter subtasks displayed by the `task-master show <id>` command using the `--status` (or `-s`) flag. This is also available in the MCP context.

- Modified `commands.js` to add the `--status` option to the `show` command definition.

- Updated `utils.js` (`findTaskById`) to handle the filtering logic and return original subtask counts/arrays when filtering.

- Updated `ui.js` (`displayTaskById`) to use the filtered subtasks for the table, display a summary line when filtering, and use the original subtask list for the progress bar calculation.

- Updated MCP `get_task` tool and `showTaskDirect` function to accept and pass the `status` parameter.

- Added changeset entry.

* fix(tasks): Improve next task logic to be subtask-aware

* fix(tasks): Enable removing multiple tasks/subtasks via comma-separated IDs

- Refactors the core `removeTask` function (`task-manager/remove-task.js`) to accept and iterate over comma-separated task/subtask IDs.

- Updates dependency cleanup and file regeneration logic to run once after processing all specified IDs.

- Adjusts the `remove-task` CLI command (`commands.js`) description and confirmation prompt to handle multiple IDs correctly.

- Fixes a bug in the CLI confirmation prompt where task/subtask titles were not being displayed correctly.

- Updates the `remove_task` MCP tool description to reflect the new multi-ID capability.

This addresses the previously known issue where only the first ID in a comma-separated list was processed.

Closes #140

* Update README.md (#342)

* Update Discord badge (#337)

* refactor(init): Improve robustness and dependencies; Update template deps for AI SDKs; Silence npm install in MCP; Improve conditional model setup logic; Refactor init.js flags; Tweak Getting Started text; Fix MCP server launch command; Update default model in config template

* Refactor: Improve MCP logging, update E2E & tests

Refactors MCP server logging and updates testing infrastructure.

- MCP Server:

  - Replaced manual logger wrappers with centralized `createLogWrapper` utility.

  - Updated direct function calls to use `{ session, mcpLog }` context.

  - Removed deprecated `model` parameter from analyze, expand-all, expand-task tools.

  - Adjusted MCP tool import paths and parameter descriptions.

- Documentation:

  - Modified `docs/configuration.md`.

  - Modified `docs/tutorial.md`.

- Testing:

  - E2E Script (`run_e2e.sh`):

    - Removed `set -e`.

    - Added LLM analysis function (`analyze_log_with_llm`) & integration.

    - Adjusted test run directory creation timing.

    - Added debug echo statements.

  - Deleted Unit Tests: Removed `ai-client-factory.test.js`, `ai-client-utils.test.js`, `ai-services.test.js`.

  - Modified Fixtures: Updated `scripts/task-complexity-report.json`.

- Dev Scripts:

  - Modified `scripts/dev.js`.

* chore(tests): Passes tests for merge candidate
- Adjusted the interactive model default choice to be 'no change' instead of 'cancel setup'
- E2E script has been perfected and works as designed provided there are all provider API keys .env in the root
- Fixes the entire test suite to make sure it passes with the new architecture.
- Fixes dependency command to properly show there is a validation failure if there is one.
- Refactored config-manager.test.js mocking strategy and fixed assertions to read the real supported-models.json
- Fixed rule-transformer.test.js assertion syntax and transformation logic adjusting replacement for search which was too broad.
- Skip unstable tests in utils.test.js (log, readJSON, writeJSON error paths) due to SIGABRT crash. These tests trigger a native crash (SIGABRT), likely stemming from a conflict between internal chalk usage within the functions and Jest's test environment, possibly related to ESM module handling.

* chore(wtf): removes chai. not sure how that even made it in here. also removes duplicate test in scripts/.

* fix: ensure API key detection properly reads .env in MCP context

Problem:
- Task Master model configuration wasn't properly checking for API keys in the project's .env file when running through MCP
- The isApiKeySet function was only checking session.env and process.env but not inspecting the .env file directly
- This caused incorrect API key status reporting in MCP tools even when keys were properly set in .env

Solution:
- Modified resolveEnvVariable function in utils.js to properly read from .env file at projectRoot
- Updated isApiKeySet to correctly pass projectRoot to resolveEnvVariable
- Enhanced the key detection logic to have consistent behavior between CLI and MCP contexts
- Maintains the correct precedence: session.env → .env file → process.env

Testing:
- Verified working correctly with both MCP and CLI tools
- API keys properly detected in .env file in both contexts
- Deleted .cursor/mcp.json to confirm introspection of .env as fallback works

* fix(update): pass projectRoot through update command flow

Modified ai-services-unified.js, update.js tool, and update-tasks.js direct function to correctly pass projectRoot. This enables the .env file API key fallback mechanism for the update command when running via MCP, ensuring consistent key resolution with the CLI context.

* fix(analyze-complexity): pass projectRoot through analyze-complexity flow

Modified analyze-task-complexity.js core function, direct function, and analyze.js tool to correctly pass projectRoot. Fixed import error in tools/index.js. Added debug logging to _resolveApiKey in ai-services-unified.js. This enables the .env API key fallback for analyze_project_complexity.

* fix(add-task): pass projectRoot and fix logging/refs

Modified add-task core, direct function, and tool to pass projectRoot for .env API key fallback. Fixed logFn reference error and removed deprecated reportProgress call in core addTask function. Verified working.

* fix(parse-prd): pass projectRoot and fix schema/logging

Modified parse-prd core, direct function, and tool to pass projectRoot for .env API key fallback. Corrected Zod schema used in generateObjectService call. Fixed logFn reference error in core parsePRD. Updated unit test mock for utils.js.

* fix(update-task): pass projectRoot and adjust parsing

Modified update-task-by-id core, direct function, and tool to pass projectRoot. Reverted parsing logic in core function to prioritize `{...}` extraction, resolving parsing errors. Fixed ReferenceError by correctly destructuring projectRoot.

* fix(update-subtask): pass projectRoot and allow updating done subtasks

Modified update-subtask-by-id core, direct function, and tool to pass projectRoot for .env API key fallback. Removed check preventing appending details to completed subtasks.

* fix(mcp, expand): pass projectRoot through expand/expand-all flows

Problem: expand_task & expand_all MCP tools failed with .env keys due to missing projectRoot propagation for API key resolution. Also fixed a ReferenceError: wasSilent is not defined in expandTaskDirect.

Solution: Modified core logic, direct functions, and MCP tools for expand-task and expand-all to correctly destructure projectRoot from arguments and pass it down through the context object to the AI service call (generateTextService). Fixed wasSilent scope in expandTaskDirect.

Verification: Tested expand_task successfully in MCP using .env keys. Reviewed expand_all flow for correct projectRoot propagation.

* chore: prettier

* fix(expand-all): add projectRoot to expandAllTasksDirect invokation.

* fix(update-tasks): Improve AI response parsing for 'update' command

Refactors the JSON array parsing logic within
in .

The previous logic primarily relied on extracting content from markdown
code blocks (json or javascript), which proved brittle when the AI
response included comments or non-JSON text within the block, leading to
parsing errors for the  command.

This change modifies the parsing strategy to first attempt extracting
content directly between the outermost '[' and ']' brackets. This is
more robust as it targets the expected array structure directly. If
bracket extraction fails, it falls back to looking for a strict json
code block, then prefix stripping, before attempting a raw parse.

This approach aligns with the successful parsing strategy used for
single-object responses in  and resolves the
parsing errors previously observed with the  command.

* refactor(mcp): introduce withNormalizedProjectRoot HOF for path normalization

Added HOF to mcp tools utils to normalize projectRoot from args/session. Refactored get-task tool to use HOF. Updated relevant documentation.

* refactor(mcp): apply withNormalizedProjectRoot HOF to update tool

Problem: The  MCP tool previously handled project root acquisition and path resolution within its  method, leading to potential inconsistencies and repetition.

Solution: Refactored the  tool () to utilize the new  Higher-Order Function (HOF) from .

Specific Changes:
- Imported  HOF.
- Updated the Zod schema for the  parameter to be optional, as the HOF handles deriving it from the session if not provided.
- Wrapped the entire  function body with the  HOF.
- Removed the manual call to  from within the  function body.
- Destructured the  from the  object received by the wrapped  function, ensuring it's the normalized path provided by the HOF.
- Used the normalized  variable when calling  and when passing arguments to .

This change standardizes project root handling for the  tool, simplifies its  method, and ensures consistent path normalization. This serves as the pattern for refactoring other MCP tools.

* fix: apply to all tools withNormalizedProjectRoot to fix projectRoot issues for linux and windows

* fix: add rest of tools that need wrapper

* chore: cleanup tools to stop using rootFolder and remove unused imports

* chore: more cleanup

* refactor: Improve update-subtask, consolidate utils, update config

This commit introduces several improvements and refactorings across MCP tools, core logic, and configuration.

**Major Changes:**

1.  **Refactor updateSubtaskById:**
    - Switched from generateTextService to generateObjectService for structured AI responses, using a Zod schema (subtaskSchema) for validation.
    - Revised prompts to have the AI generate relevant content based on user request and context (parent/sibling tasks), while explicitly preventing AI from handling timestamp/tag formatting.
    - Implemented **local timestamp generation (new Date().toISOString()) and formatting** (using <info added on ...> tags) within the function *after* receiving the AI response. This ensures reliable and correctly formatted details are appended.
    - Corrected logic to append only the locally formatted, AI-generated content block to the existing subtask.details.

2.  **Consolidate MCP Utilities:**
    - Moved/consolidated the withNormalizedProjectRoot HOF into mcp-server/src/tools/utils.js.
    - Updated MCP tools (like update-subtask.js) to import withNormalizedProjectRoot from the new location.

3.  **Refactor Project Initialization:**
    - Deleted the redundant mcp-server/src/core/direct-functions/initialize-project-direct.js file.
    - Updated mcp-server/src/core/task-master-core.js to import initializeProjectDirect from its correct location (./direct-functions/initialize-project.js).

**Other Changes:**

-   Updated .taskmasterconfig fallback model to claude-3-7-sonnet-20250219.
-   Clarified model cost representation in the models tool description (taskmaster.mdc and mcp-server/src/tools/models.js).

* fix: displayBanner logging when silentMode is active (#385)

* fix: improve error handling, test options, and model configuration

- Enhance error validation in parse-prd.js and update-tasks.js
- Fix bug where mcpLog was incorrectly passed as logWrapper
- Improve error messages and response formatting
- Add --skip-verification flag to E2E tests
- Update MCP server config that ships with init to match new API key structure
- Fix task force/append handling in parse-prd command
- Increase column width in update-tasks display

* chore: fixes parse prd to show loading indicator in cli.

* fix(parse-prd): suggested fix for mcpLog was incorrect. reverting to my previously working code.

* chore(init): No longer ships readme with task-master init (commented out for now). No longer looking for task-master-mcp, instead checked for task-master-ai - this should prevent the init sequence from needlessly adding another mcp server with task-master-mcp to the mpc.json which a ton of people probably ran into.

* chore: restores 3.7 sonnet as the main role.

* fix(add/remove-dependency): dependency mcp tools were failing due to hard-coded tasks path in generate task files.

* chore: removes tasks json backup that was temporarily created.

* fix(next): adjusts mcp tool response to correctly return the next task/subtask. Also adds nextSteps to the next task response.

* chore: prettier

* chore: readme typos

* fix(config): restores sonnet 3.7 as default main role.

* Version Packages

* hotfix: move production package to "dependencies" (#399)

* Version Packages

* Fix: issues with 0.13.0 not working (#402)

* Exit prerelease mode and version packages

* hotfix: move production package to "dependencies"

* Enter prerelease mode and version packages

* Enter prerelease mode and version packages

* chore: cleanup

* chore: improve pre.json and add pre-release workflow

* chore: fix package.json

* chore: cleanup

* chore: improve pre-release workflow

* chore: allow github actions to commit

* extract fileMap and conversionConfig into brand profile

* extract into brand profile

* add windsurf profile

* add remove brand rules function

* fix regex

* add rules command to add/remove rules for a specific brand

* fix post processing for roo

* allow multiples

* add cursor profile

* update test for new structure

* move rules to assets

* use assets/rules for rules files

* use standardized setupMCP function

* fix formatting

* fix formatting

* add logging

* fix escapes

* default to cursor

* allow init with certain rulesets; no more .windsurfrules

* update docs

* update log msg

* fix formatting

* keep mdc extension for cursor

* don't rewrite .mdc to .md inside the files

* fix roo init (add modes)

* fix cursor init (don't use roo transformation by default)

* use more generic function names

* update docs

* fix formatting

* update function names

* add changeset

* add rules to mcp initialize project

* register tool with mcp server

* update docs

* add integration test

* fix cursor initialization

* rule selection

* fix formatting

* fix MCP - remove yes flag

* add import

* update roo tests

* add/update tests

* remove test

* add rules command test

* update MCP responses, centralize rules profiles & helpers

* fix logging and MCP response messages

* fix formatting

* incorrect test

* fix tests

* update fileMap

* fix file extension transformations

* fix formatting

* add rules command test

* test already covered

* fix formatting

* move renaming logic into profiles

* make sure dir is deleted (DS_Store)

* add confirmation for rules removal

* add force flag for rules remove

* use force flag for test

* remove yes parameter

* fix formatting

* import brand profiles from rule-transformer.js

* update comment

* add interactive rules setup

* optimize

* only copy rules specifically listed in fileMap

* update comment

* add cline profile

* add brandDir to remove ambiguity and support Cline

* specify whether to create mcp config and filename

* add mcpConfigName value for parh

* fix formatting

* remove rules just for this repository - only include rules to be distributed

* update error message

* update "brand rules" to "rules"

* update to minor

* remove comment

* remove comments

* move to /src/utils

* optimize imports

* move rules-setup.js to /src/utils

* move rule-transformer.js to /src/utils

* move confirmation to /src/ui/confirm.js

* default to all rules

* use profile js for mcp config settings

* only run rules interactive setup if not provided via command line

* update comments

* initialize with all brands if nothing specified

* update var name

* clean up

* enumerate brands for brand rules

* update instructions

* add test to check for brand profiles

* fix quotes

* update semantics and terminology from 'brand rules' to 'rules profiles'

* fix formatting

* fix formatting

* update function name and remove copying of cursor rules, now handled by rules transformer

* update comment

* rename to mcp-config-setup.js

* use enums for rules actions

* add aggregate reporting for rules add command

* add missing log message

* use simpler path

* use base profile with modifications for each brand

* use displayName and don't select any defaults in setup

* add confirmation if removing ALL rules profiles, and add --force flag on rules remove

* Use profile-detection instead of rules-detection

* add newline at end of mcp config

* add proper formatting for mcp.json

* update rules

* update rules

* update rules

* add checks for other rules and other profile folder items before removing

* update confirmation for rules remove

* update docs

* update changeset

* fix for filepath at bottom of rule

* Update cline profile and add test; adjust other rules tests

* update changeset

* update changeset

* clarify init for all profiles if not specified

* update rule text

* revert text

* use "rule profiles" instead of "rules profiles"

* use standard tool mappings for windsurf

* add Trae support

* update changeset

* update wording

* update to 'rule profile'

* remove unneeded exports to optimize loc

* combine to /src/utils/profiles.js; add codex and claude code profiles

* rename function and add boxen

* add claude and codex integration tests

* organize tests into profiles folder

* mock fs for transformer tests

* update UI

* add cline and trae integration tests

* update test

* update function name

* update formatting

* Update change set with new profiles

* move profile integration tests to subdirectory

* properly create temp directories in /tmp folder

* fix formatting

* use taskmaster subfolder for the 2 TM rules

* update wording

* ensure subdirectory exists

* update rules from next

* update from next

* update taskmaster rule

* add details on new rules command and init

* fix mcp init

* fix MCP path to assets

* remove duplication

* remove duplication

* MCP server path fixes for rules command

* fix for CLI roo rules add/remove

* update tests

* fix formatting

* fix pattern for interactive rule profiles setup

* restore comments

* restore comments

* restore comments

* remove unused import, fix quotes

* add missing integration tests

* add VS Code profile and tests

* update docs and rules to include vscode profile

* add rules subdirectory support per-profile

* move profiles to /src

* fix formatting

* rename to remove ambiguity

* use --setup for rules interactive setup

* Fix Cursor deeplink installation with copy-paste instructions (#723)

* change roo boomerang to orchestrator; update tests that don't use modes

* fix newline

* chore: cleanup

---------

Co-authored-by: Eyal Toledano <eyal@microangel.so>
Co-authored-by: Yuval <yuvalbl@users.noreply.github.com>
Co-authored-by: Marijn van der Werf <marijn.vanderwerf@gmail.com>
Co-authored-by: Eyal Toledano <eutait@gmail.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

* fix: providers config for azure, bedrock, and vertex (#822)

* fix: providers config for azure, bedrock, and vertex

* chore: improve changelog

* chore: fix CI

* fix: switch to ESM export to avoid mixed format (#633)

* fix: switch to ESM export to avoid mixed format

The CLI entrypoint was using `module.exports` alongside ESM `import` statements,
resulting in an invalid mixed module format. Replaced the CommonJS export with
a proper ESM `export` to maintain consistency and prevent module resolution issues.

* chore: add changeset

---------

Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>

* fix: Fix external provider support (#726)

* fix(bedrock): improve AWS credential handling and add model definitions (#826)

* fix(bedrock): improve AWS credential handling and add model definitions

- Change error to warning when AWS credentials are missing in environment
- Allow fallback to system configuration (aws config files or instance profiles)
- Remove hardcoded region and profile parameters in Bedrock client
- Add Claude 3.7 Sonnet and DeepSeek R1 model definitions for Bedrock
- Update config manager to properly handle Bedrock provider

* chore: cleanup and format and small refactor

---------

Co-authored-by: Ray Krueger <raykrueger@gmail.com>

* docs: Auto-update and format models.md

* Version Packages

* chore: fix package.json

* Fix/expand command tag corruption (#827)

* fix(expand): Fix tag corruption in expand command - Fix tag parameter passing through MCP expand-task flow - Add tag parameter to direct function and tool registration - Fix contextGatherer method name from _buildDependencyContext to _buildDependencyGraphs - Add comprehensive test coverage for tag handling in expand-task - Ensures tagged task structure is preserved during expansion - Prevents corruption when tag is undefined. Fixes expand command causing tag corruption in tagged task lists. All existing tests pass and new test coverage added.

* test(e2e): Add comprehensive tag-aware expand testing to verify tag corruption fix - Add new test section for feature-expand tag creation and testing - Verify tag preservation during expand, force expand, and expand --all operations - Test that master tag remains intact and feature-expand tag receives subtasks correctly - Fix file path references to use correct .taskmaster/tasks/tasks.json location - Fix config file check to use .taskmaster/config.json instead of .taskmasterconfig - All tag corruption verification tests pass successfully in E2E test

* fix(changeset): Update E2E test improvements changeset to properly reflect tag corruption fix verification

* chore(changeset): combine duplicate changesets for expand tag corruption fix

Merge eighty-breads-wonder.md into bright-llamas-enter.md to consolidate
the expand command fix and its comprehensive E2E testing enhancements
into a single changeset entry.

* Delete .changeset/eighty-breads-wonder.md

* Version Packages

* chore: fix package.json

* fix(expand): Enhance context handling in expandAllTasks function
- Added `tag` to context destructuring for better context management.
- Updated `readJSON` call to include `contextTag` for improved data integrity.
- Ensured the correct tag is passed during task expansion to prevent tag corruption.

---------

Co-authored-by: Parththipan Thaniperumkarunai <parththipan.thaniperumkarunai@milkmonkey.de>
Co-authored-by: Parthy <52548018+mm-parthy@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

* Add pyproject.toml as project root marker (#804)

* feat: Add pyproject.toml as project root marker - Added 'pyproject.toml' to the project markers array in findProjectRoot() - Enables Task Master to recognize Python projects using pyproject.toml - Improves project root detection for modern Python development workflows - Maintains compatibility with existing Node.js and Git-based detection

* chore: add changeset

---------

Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>

* feat: add Claude Code provider support

Implements Claude Code as a new AI provider that uses the Claude Code CLI
without requiring API keys. This enables users to leverage Claude models
through their local Claude Code installation.

Key changes:
- Add complete AI SDK v1 implementation for Claude Code provider
  - Custom SDK with streaming/non-streaming support
  - Session management for conversation continuity
  - JSON extraction for object generation mode
  - Support for advanced settings (maxTurns, allowedTools, etc.)

- Integrate Claude Code into Task Master's provider system
  - Update ai-services-unified.js to handle keyless authentication
  - Add provider to supported-models.json with opus/sonnet models
  - Ensure correct maxTokens values are applied (opus: 32000, sonnet: 64000)

- Fix maxTokens configuration issue
  - Add max_tokens property to getAvailableModels() output
  - Update setModel() to properly handle claude-code models
  - Create update-config-tokens.js utility for init process

- Add comprehensive documentation
  - User guide with configuration examples
  - Advanced settings explanation and future integration options

The implementation maintains full backward compatibility with existing
providers while adding seamless Claude Code support to all Task Master
commands.

* fix(docs): correct invalid commands in claude-code usage examples

- Remove non-existent 'do', 'estimate', and 'analyze' commands
- Replace with actual Task Master commands: next, show, set-status
- Use correct syntax for parse-prd and analyze-complexity

* feat: make @anthropic-ai/claude-code an optional dependency

This change makes the Claude Code SDK package optional, preventing installation failures for users who don't need Claude Code functionality.

Changes:
- Added @anthropic-ai/claude-code to optionalDependencies in package.json
- Implemented lazy loading in language-model.js to only import the SDK when actually used
- Updated documentation to explain the optional installation requirement
- Applied formatting fixes to ensure code consistency

Benefits:
- Users without Claude Code subscriptions don't need to install the dependency
- Reduces package size for users who don't use Claude Code
- Prevents installation failures if the package is unavailable
- Provides clear error messages when the package is needed but not installed

The implementation uses dynamic imports to load the SDK only when doGenerate() or doStream() is called, ensuring the provider can be instantiated without the package present.

* test: add comprehensive tests for ClaudeCodeProvider

Addresses code review feedback about missing automated tests for the ClaudeCodeProvider.

## Changes

- Added unit tests for ClaudeCodeProvider class covering constructor, validateAuth, and getClient methods
- Added unit tests for ClaudeCodeLanguageModel testing lazy loading behavior and error handling
- Added integration tests verifying optional dependency behavior when @anthropic-ai/claude-code is not installed

## Test Coverage

1. **Unit Tests**:
   - ClaudeCodeProvider: Basic functionality, no API key requirement, client creation
   - ClaudeCodeLanguageModel: Model initialization, lazy loading, error messages, warning generation

2. **Integration Tests**:
   - Optional dependency behavior when package is not installed
   - Clear error messages for users about missing package
   - Provider instantiation works but usage fails gracefully

All tests pass and provide comprehensive coverage for the claude-code provider implementation.

* revert: remove maxTokens update functionality from init

This functionality was out of scope for the Claude Code provider PR.
The automatic updating of maxTokens values in config.json during
initialization is a general improvement that should be in a separate PR.

Additionally, Claude Code ignores maxTokens and temperature parameters
anyway, making this change irrelevant for the Claude Code integration.

Removed:
- scripts/modules/update-config-tokens.js
- Import and usage in scripts/init.js

* docs: add Claude Code support information to README

- Added Claude Code to the list of supported providers in Requirements section
- Noted that Claude Code requires no API key but needs Claude Code CLI
- Added example of configuring claude-code/sonnet model
- Created dedicated Claude Code Support section with key information
- Added link to detailed Claude Code setup documentation

This ensures users are aware of the Claude Code option as a no-API-key
alternative for using Claude models.

* style: apply biome formatting to test files

* fix(models): add missing --claude-code flag to models command

The models command was missing the --claude-code provider flag, preventing users from setting Claude Code models via CLI. While the backend already supported claude-code as a provider hint, there was no command-line flag to trigger it.

Changes:
- Added --claude-code option to models command alongside existing provider flags
- Updated provider flags validation to include claudeCode option
- Added claude-code to providerHint logic for all three model roles (main, research, fallback)
- Updated error message to include --claude-code in list of mutually exclusive flags
- Added example usage in help text

This allows users to properly set Claude Code models using commands like:
  task-master models --set-main sonnet --claude-code
  task-master models --set-main opus --claude-code

Without this flag, users would get "Model ID not found" errors when trying to set claude-code models, as the system couldn't determine the correct provider for generic model names like "sonnet" or "opus".

* chore: add changeset for Claude Code provider feature

* docs: Auto-update and format models.md

* readme: add troubleshooting note for MCP tools not working

* Feature/compatibleapisupport (#830)

* add compatible platform api support

* Adjust the code according to the suggestions

* Fully revised as requested: restored all required checks, improved compatibility, and converted all comments to English.

* feat: Add support for compatible API endpoints via baseURL

* chore: Add changeset for compatible API support

* chore: cleanup

* chore: improve changeset

* fix: package-lock.json

* fix: package-lock.json

---------

Co-authored-by: He-Xun <1226807142@qq.com>

* Rename Roo Code "Boomerang" role to "Orchestrator" (#831)

* feat: Enhanced project initialization with Git worktree detection (#743)

* Fix Cursor deeplink installation with copy-paste instructions (#723)

* detect git worktree

* add changeset

* add aliases and git flags

* add changeset

* rename and update test

* add store tasks in git functionality

* update changeset

* fix newline

* remove unused import

* update command wording

* update command option text

* fix: update task by id (#834)

* store tasks in git by default (#835)

* Call rules interactive setup during init (#833)

* chore: rc version bump

* feat: Claude Code slash commands for Task Master (#774)

* Fix Cursor deeplink installation with copy-paste instructions (#723)

* fix: expand-task (#755)

* docs: Update o3 model price (#751)

* docs: Auto-update and format models.md

* docs: Auto-update and format models.md

* feat: Add Claude Code task master commands

Adds Task Master slash commands for Claude Code under /project:tm/ namespace

---------

Co-authored-by: Joe Danziger <joe@ticc.net>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
Co-authored-by: Volodymyr Zahorniak <7808206+zahorniak@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: neno-is-ooo <204701868+neno-is-ooo@users.noreply.github.com>

* feat: make more compatible with "o" family models (#839)

* docs: Auto-update and format models.md

* docs: Add comprehensive Azure OpenAI configuration documentation (#837)

* docs: Add comprehensive Azure OpenAI configuration documentation

- Add detailed Azure OpenAI configuration section with prerequisites, authentication, and setup options
- Include both global and per-model baseURL configuration examples
- Add comprehensive troubleshooting guide for common Azure OpenAI issues
- Update environment variables section with Azure OpenAI examples
- Add Azure OpenAI models to all model tables (Main, Research, Fallback)
- Include prominent Azure configuration example in main documentation
- Fix azureBaseURL format to use correct Azure OpenAI endpoint structure

Addresses common Azure OpenAI setup challenges and provides clear guidance for new users.

* refactor: Move Azure models from docs/models.md to scripts/modules/supported-models.json

- Remove Azure model entries from documentation tables
- Add Azure provider section to supported-models.json with gpt-4o, gpt-4o-mini, and gpt-4-1
- Maintain consistency with existing model configuration structure

* docs: Auto-update and format models.md

* Version Packages

* chore: format fix

---------

Co-authored-by: Riccardo (Ricky) Esclapon <32306488+ries9112@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Joe Danziger <joe@ticc.net>
Co-authored-by: Eyal Toledano <eyal@microangel.so>
Co-authored-by: Yuval <yuvalbl@users.noreply.github.com>
Co-authored-by: Marijn van der Werf <marijn.vanderwerf@gmail.com>
Co-authored-by: Eyal Toledano <eutait@gmail.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Nathan Marley <nathan@glowberrylabs.com>
Co-authored-by: Ray Krueger <raykrueger@gmail.com>
Co-authored-by: Parththipan Thaniperumkarunai <parththipan.thaniperumkarunai@milkmonkey.de>
Co-authored-by: Parthy <52548018+mm-parthy@users.noreply.github.com>
Co-authored-by: ejones40 <ethan.jones@fortyau.com>
Co-authored-by: Ben Vargas <ben@vargas.com>
Co-authored-by: V4G4X <34249137+V4G4X@users.noreply.github.com>
Co-authored-by: He-Xun <1226807142@qq.com>
Co-authored-by: neno <github@meaning.systems>
Co-authored-by: Volodymyr Zahorniak <7808206+zahorniak@users.noreply.github.com>
Co-authored-by: neno-is-ooo <204701868+neno-is-ooo@users.noreply.github.com>
Co-authored-by: Jitesh Thakur <56656484+Jitha-afk@users.noreply.github.com>
2025-06-21 13:54:17 -07:00
173 changed files with 19033 additions and 1418 deletions

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# Task Master Commands for Claude Code
Complete guide to using Task Master through Claude Code's slash commands.
## Overview
All Task Master functionality is available through the `/project:tm/` namespace with natural language support and intelligent features.
## Quick Start
```bash
# Install Task Master
/project:tm/setup/quick-install
# Initialize project
/project:tm/init/quick
# Parse requirements
/project:tm/parse-prd requirements.md
# Start working
/project:tm/next
```
## Command Structure
Commands are organized hierarchically to match Task Master's CLI:
- Main commands at `/project:tm/[command]`
- Subcommands for specific operations `/project:tm/[command]/[subcommand]`
- Natural language arguments accepted throughout
## Complete Command Reference
### Setup & Configuration
- `/project:tm/setup/install` - Full installation guide
- `/project:tm/setup/quick-install` - One-line install
- `/project:tm/init` - Initialize project
- `/project:tm/init/quick` - Quick init with -y
- `/project:tm/models` - View AI config
- `/project:tm/models/setup` - Configure AI
### Task Generation
- `/project:tm/parse-prd` - Generate from PRD
- `/project:tm/parse-prd/with-research` - Enhanced parsing
- `/project:tm/generate` - Create task files
### Task Management
- `/project:tm/list` - List with natural language filters
- `/project:tm/list/with-subtasks` - Hierarchical view
- `/project:tm/list/by-status <status>` - Filter by status
- `/project:tm/show <id>` - Task details
- `/project:tm/add-task` - Create task
- `/project:tm/update` - Update tasks
- `/project:tm/remove-task` - Delete task
### Status Management
- `/project:tm/set-status/to-pending <id>`
- `/project:tm/set-status/to-in-progress <id>`
- `/project:tm/set-status/to-done <id>`
- `/project:tm/set-status/to-review <id>`
- `/project:tm/set-status/to-deferred <id>`
- `/project:tm/set-status/to-cancelled <id>`
### Task Analysis
- `/project:tm/analyze-complexity` - AI analysis
- `/project:tm/complexity-report` - View report
- `/project:tm/expand <id>` - Break down task
- `/project:tm/expand/all` - Expand all complex
### Dependencies
- `/project:tm/add-dependency` - Add dependency
- `/project:tm/remove-dependency` - Remove dependency
- `/project:tm/validate-dependencies` - Check issues
- `/project:tm/fix-dependencies` - Auto-fix
### Workflows
- `/project:tm/workflows/smart-flow` - Adaptive workflows
- `/project:tm/workflows/pipeline` - Chain commands
- `/project:tm/workflows/auto-implement` - AI implementation
### Utilities
- `/project:tm/status` - Project dashboard
- `/project:tm/next` - Next task recommendation
- `/project:tm/utils/analyze` - Project analysis
- `/project:tm/learn` - Interactive help
## Key Features
### Natural Language Support
All commands understand natural language:
```
/project:tm/list pending high priority
/project:tm/update mark 23 as done
/project:tm/add-task implement OAuth login
```
### Smart Context
Commands analyze project state and provide intelligent suggestions based on:
- Current task status
- Dependencies
- Team patterns
- Project phase
### Visual Enhancements
- Progress bars and indicators
- Status badges
- Organized displays
- Clear hierarchies
## Common Workflows
### Daily Development
```
/project:tm/workflows/smart-flow morning
/project:tm/next
/project:tm/set-status/to-in-progress <id>
/project:tm/set-status/to-done <id>
```
### Task Breakdown
```
/project:tm/show <id>
/project:tm/expand <id>
/project:tm/list/with-subtasks
```
### Sprint Planning
```
/project:tm/analyze-complexity
/project:tm/workflows/pipeline init → expand/all → status
```
## Migration from Old Commands
| Old | New |
|-----|-----|
| `/project:task-master:list` | `/project:tm/list` |
| `/project:task-master:complete` | `/project:tm/set-status/to-done` |
| `/project:workflows:auto-implement` | `/project:tm/workflows/auto-implement` |
## Tips
1. Use `/project:tm/` + Tab for command discovery
2. Natural language is supported everywhere
3. Commands provide smart defaults
4. Chain commands for automation
5. Check `/project:tm/learn` for interactive help

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Add a dependency between tasks.
Arguments: $ARGUMENTS
Parse the task IDs to establish dependency relationship.
## Adding Dependencies
Creates a dependency where one task must be completed before another can start.
## Argument Parsing
Parse natural language or IDs:
- "make 5 depend on 3" → task 5 depends on task 3
- "5 needs 3" → task 5 depends on task 3
- "5 3" → task 5 depends on task 3
- "5 after 3" → task 5 depends on task 3
## Execution
```bash
task-master add-dependency --id=<task-id> --depends-on=<dependency-id>
```
## Validation
Before adding:
1. **Verify both tasks exist**
2. **Check for circular dependencies**
3. **Ensure dependency makes logical sense**
4. **Warn if creating complex chains**
## Smart Features
- Detect if dependency already exists
- Suggest related dependencies
- Show impact on task flow
- Update task priorities if needed
## Post-Addition
After adding dependency:
1. Show updated dependency graph
2. Identify any newly blocked tasks
3. Suggest task order changes
4. Update project timeline
## Example Flows
```
/project:tm/add-dependency 5 needs 3
→ Task #5 now depends on Task #3
→ Task #5 is now blocked until #3 completes
→ Suggested: Also consider if #5 needs #4
```

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Convert an existing task into a subtask.
Arguments: $ARGUMENTS
Parse parent ID and task ID to convert.
## Task Conversion
Converts an existing standalone task into a subtask of another task.
## Argument Parsing
- "move task 8 under 5"
- "make 8 a subtask of 5"
- "nest 8 in 5"
- "5 8" → make task 8 a subtask of task 5
## Execution
```bash
task-master add-subtask --parent=<parent-id> --task-id=<task-to-convert>
```
## Pre-Conversion Checks
1. **Validation**
- Both tasks exist and are valid
- No circular parent relationships
- Task isn't already a subtask
- Logical hierarchy makes sense
2. **Impact Analysis**
- Dependencies that will be affected
- Tasks that depend on converting task
- Priority alignment needed
- Status compatibility
## Conversion Process
1. Change task ID from "8" to "5.1" (next available)
2. Update all dependency references
3. Inherit parent's context where appropriate
4. Adjust priorities if needed
5. Update time estimates
## Smart Features
- Preserve task history
- Maintain dependencies
- Update all references
- Create conversion log
## Example
```
/project:tm/add-subtask/from-task 5 8
→ Converting: Task #8 becomes subtask #5.1
→ Updated: 3 dependency references
→ Parent task #5 now has 1 subtask
→ Note: Subtask inherits parent's priority
Before: #8 "Implement validation" (standalone)
After: #5.1 "Implement validation" (subtask of #5)
```
## Post-Conversion
- Show new task hierarchy
- List updated dependencies
- Verify project integrity
- Suggest related conversions

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Add a subtask to a parent task.
Arguments: $ARGUMENTS
Parse arguments to create a new subtask or convert existing task.
## Adding Subtasks
Creates subtasks to break down complex parent tasks into manageable pieces.
## Argument Parsing
Flexible natural language:
- "add subtask to 5: implement login form"
- "break down 5 with: setup, implement, test"
- "subtask for 5: handle edge cases"
- "5: validate user input" → adds subtask to task 5
## Execution Modes
### 1. Create New Subtask
```bash
task-master add-subtask --parent=<id> --title="<title>" --description="<desc>"
```
### 2. Convert Existing Task
```bash
task-master add-subtask --parent=<id> --task-id=<existing-id>
```
## Smart Features
1. **Automatic Subtask Generation**
- If title contains "and" or commas, create multiple
- Suggest common subtask patterns
- Inherit parent's context
2. **Intelligent Defaults**
- Priority based on parent
- Appropriate time estimates
- Logical dependencies between subtasks
3. **Validation**
- Check parent task complexity
- Warn if too many subtasks
- Ensure subtask makes sense
## Creation Process
1. Parse parent task context
2. Generate subtask with ID like "5.1"
3. Set appropriate defaults
4. Link to parent task
5. Update parent's time estimate
## Example Flows
```
/project:tm/add-subtask to 5: implement user authentication
→ Created subtask #5.1: "implement user authentication"
→ Parent task #5 now has 1 subtask
→ Suggested next subtasks: tests, documentation
/project:tm/add-subtask 5: setup, implement, test
→ Created 3 subtasks:
#5.1: setup
#5.2: implement
#5.3: test
```
## Post-Creation
- Show updated task hierarchy
- Suggest logical next subtasks
- Update complexity estimates
- Recommend subtask order

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Add new tasks with intelligent parsing and context awareness.
Arguments: $ARGUMENTS
## Smart Task Addition
Parse natural language to create well-structured tasks.
### 1. **Input Understanding**
I'll intelligently parse your request:
- Natural language → Structured task
- Detect priority from keywords (urgent, ASAP, important)
- Infer dependencies from context
- Suggest complexity based on description
- Determine task type (feature, bug, refactor, test, docs)
### 2. **Smart Parsing Examples**
**"Add urgent task to fix login bug"**
→ Title: Fix login bug
→ Priority: high
→ Type: bug
→ Suggested complexity: medium
**"Create task for API documentation after task 23 is done"**
→ Title: API documentation
→ Dependencies: [23]
→ Type: documentation
→ Priority: medium
**"Need to refactor auth module - depends on 12 and 15, high complexity"**
→ Title: Refactor auth module
→ Dependencies: [12, 15]
→ Complexity: high
→ Type: refactor
### 3. **Context Enhancement**
Based on current project state:
- Suggest related existing tasks
- Warn about potential conflicts
- Recommend dependencies
- Propose subtasks if complex
### 4. **Interactive Refinement**
```yaml
Task Preview:
─────────────
Title: [Extracted title]
Priority: [Inferred priority]
Dependencies: [Detected dependencies]
Complexity: [Estimated complexity]
Suggestions:
- Similar task #34 exists, consider as dependency?
- This seems complex, break into subtasks?
- Tasks #45-47 work on same module
```
### 5. **Validation & Creation**
Before creating:
- Validate dependencies exist
- Check for duplicates
- Ensure logical ordering
- Verify task completeness
### 6. **Smart Defaults**
Intelligent defaults based on:
- Task type patterns
- Team conventions
- Historical data
- Current sprint/phase
Result: High-quality tasks from minimal input.

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Analyze task complexity and generate expansion recommendations.
Arguments: $ARGUMENTS
Perform deep analysis of task complexity across the project.
## Complexity Analysis
Uses AI to analyze tasks and recommend which ones need breakdown.
## Execution Options
```bash
task-master analyze-complexity [--research] [--threshold=5]
```
## Analysis Parameters
- `--research` → Use research AI for deeper analysis
- `--threshold=5` → Only flag tasks above complexity 5
- Default: Analyze all pending tasks
## Analysis Process
### 1. **Task Evaluation**
For each task, AI evaluates:
- Technical complexity
- Time requirements
- Dependency complexity
- Risk factors
- Knowledge requirements
### 2. **Complexity Scoring**
Assigns score 1-10 based on:
- Implementation difficulty
- Integration challenges
- Testing requirements
- Unknown factors
- Technical debt risk
### 3. **Recommendations**
For complex tasks:
- Suggest expansion approach
- Recommend subtask breakdown
- Identify risk areas
- Propose mitigation strategies
## Smart Analysis Features
1. **Pattern Recognition**
- Similar task comparisons
- Historical complexity accuracy
- Team velocity consideration
- Technology stack factors
2. **Contextual Factors**
- Team expertise
- Available resources
- Timeline constraints
- Business criticality
3. **Risk Assessment**
- Technical risks
- Timeline risks
- Dependency risks
- Knowledge gaps
## Output Format
```
Task Complexity Analysis Report
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
High Complexity Tasks (>7):
📍 #5 "Implement real-time sync" - Score: 9/10
Factors: WebSocket complexity, state management, conflict resolution
Recommendation: Expand into 5-7 subtasks
Risks: Performance, data consistency
📍 #12 "Migrate database schema" - Score: 8/10
Factors: Data migration, zero downtime, rollback strategy
Recommendation: Expand into 4-5 subtasks
Risks: Data loss, downtime
Medium Complexity Tasks (5-7):
📍 #23 "Add export functionality" - Score: 6/10
Consider expansion if timeline tight
Low Complexity Tasks (<5):
✅ 15 tasks - No expansion needed
Summary:
- Expand immediately: 2 tasks
- Consider expanding: 5 tasks
- Keep as-is: 15 tasks
```
## Actionable Output
For each high-complexity task:
1. Complexity score with reasoning
2. Specific expansion suggestions
3. Risk mitigation approaches
4. Recommended subtask structure
## Integration
Results are:
- Saved to `.taskmaster/reports/complexity-analysis.md`
- Used by expand command
- Inform sprint planning
- Guide resource allocation
## Next Steps
After analysis:
```
/project:tm/expand 5 # Expand specific task
/project:tm/expand/all # Expand all recommended
/project:tm/complexity-report # View detailed report
```

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Clear all subtasks from all tasks globally.
## Global Subtask Clearing
Remove all subtasks across the entire project. Use with extreme caution.
## Execution
```bash
task-master clear-subtasks --all
```
## Pre-Clear Analysis
1. **Project-Wide Summary**
```
Global Subtask Summary
━━━━━━━━━━━━━━━━━━━━
Total parent tasks: 12
Total subtasks: 47
- Completed: 15
- In-progress: 8
- Pending: 24
Work at risk: ~120 hours
```
2. **Critical Warnings**
- In-progress subtasks that will lose work
- Completed subtasks with valuable history
- Complex dependency chains
- Integration test results
## Double Confirmation
```
⚠️ DESTRUCTIVE OPERATION WARNING ⚠️
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This will remove ALL 47 subtasks from your project
Including 8 in-progress and 15 completed subtasks
This action CANNOT be undone
Type 'CLEAR ALL SUBTASKS' to confirm:
```
## Smart Safeguards
- Require explicit confirmation phrase
- Create automatic backup
- Log all removed data
- Option to export first
## Use Cases
Valid reasons for global clear:
- Project restructuring
- Major pivot in approach
- Starting fresh breakdown
- Switching to different task organization
## Process
1. Full project analysis
2. Create backup file
3. Show detailed impact
4. Require confirmation
5. Execute removal
6. Generate summary report
## Alternative Suggestions
Before clearing all:
- Export subtasks to file
- Clear only pending subtasks
- Clear by task category
- Archive instead of delete
## Post-Clear Report
```
Global Subtask Clear Complete
━━━━━━━━━━━━━━━━━━━━━━━━━━━
Removed: 47 subtasks from 12 tasks
Backup saved: .taskmaster/backup/subtasks-20240115.json
Parent tasks updated: 12
Time estimates adjusted: Yes
Next steps:
- Review updated task list
- Re-expand complex tasks as needed
- Check project timeline
```

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Clear all subtasks from a specific task.
Arguments: $ARGUMENTS (task ID)
Remove all subtasks from a parent task at once.
## Clearing Subtasks
Bulk removal of all subtasks from a parent task.
## Execution
```bash
task-master clear-subtasks --id=<task-id>
```
## Pre-Clear Analysis
1. **Subtask Summary**
- Number of subtasks
- Completion status of each
- Work already done
- Dependencies affected
2. **Impact Assessment**
- Data that will be lost
- Dependencies to be removed
- Effect on project timeline
- Parent task implications
## Confirmation Required
```
Clear Subtasks Confirmation
━━━━━━━━━━━━━━━━━━━━━━━━━
Parent Task: #5 "Implement user authentication"
Subtasks to remove: 4
- #5.1 "Setup auth framework" (done)
- #5.2 "Create login form" (in-progress)
- #5.3 "Add validation" (pending)
- #5.4 "Write tests" (pending)
⚠️ This will permanently delete all subtask data
Continue? (y/n)
```
## Smart Features
- Option to convert to standalone tasks
- Backup task data before clearing
- Preserve completed work history
- Update parent task appropriately
## Process
1. List all subtasks for confirmation
2. Check for in-progress work
3. Remove all subtasks
4. Update parent task
5. Clean up dependencies
## Alternative Options
Suggest alternatives:
- Convert important subtasks to tasks
- Keep completed subtasks
- Archive instead of delete
- Export subtask data first
## Post-Clear
- Show updated parent task
- Recalculate time estimates
- Update task complexity
- Suggest next steps
## Example
```
/project:tm/clear-subtasks 5
→ Found 4 subtasks to remove
→ Warning: Subtask #5.2 is in-progress
→ Cleared all subtasks from task #5
→ Updated parent task estimates
→ Suggestion: Consider re-expanding with better breakdown
```

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Display the task complexity analysis report.
Arguments: $ARGUMENTS
View the detailed complexity analysis generated by analyze-complexity command.
## Viewing Complexity Report
Shows comprehensive task complexity analysis with actionable insights.
## Execution
```bash
task-master complexity-report [--file=<path>]
```
## Report Location
Default: `.taskmaster/reports/complexity-analysis.md`
Custom: Specify with --file parameter
## Report Contents
### 1. **Executive Summary**
```
Complexity Analysis Summary
━━━━━━━━━━━━━━━━━━━━━━━━
Analysis Date: 2024-01-15
Tasks Analyzed: 32
High Complexity: 5 (16%)
Medium Complexity: 12 (37%)
Low Complexity: 15 (47%)
Critical Findings:
- 5 tasks need immediate expansion
- 3 tasks have high technical risk
- 2 tasks block critical path
```
### 2. **Detailed Task Analysis**
For each complex task:
- Complexity score breakdown
- Contributing factors
- Specific risks identified
- Expansion recommendations
- Similar completed tasks
### 3. **Risk Matrix**
Visual representation:
```
Risk vs Complexity Matrix
━━━━━━━━━━━━━━━━━━━━━━━
High Risk | #5(9) #12(8) | #23(6)
Med Risk | #34(7) | #45(5) #67(5)
Low Risk | #78(8) | [15 tasks]
| High Complex | Med Complex
```
### 4. **Recommendations**
**Immediate Actions:**
1. Expand task #5 - Critical path + high complexity
2. Expand task #12 - High risk + dependencies
3. Review task #34 - Consider splitting
**Sprint Planning:**
- Don't schedule multiple high-complexity tasks together
- Ensure expertise available for complex tasks
- Build in buffer time for unknowns
## Interactive Features
When viewing report:
1. **Quick Actions**
- Press 'e' to expand a task
- Press 'd' for task details
- Press 'r' to refresh analysis
2. **Filtering**
- View by complexity level
- Filter by risk factors
- Show only actionable items
3. **Export Options**
- Markdown format
- CSV for spreadsheets
- JSON for tools
## Report Intelligence
- Compares with historical data
- Shows complexity trends
- Identifies patterns
- Suggests process improvements
## Integration
Use report for:
- Sprint planning sessions
- Resource allocation
- Risk assessment
- Team discussions
- Client updates
## Example Usage
```
/project:tm/complexity-report
→ Opens latest analysis
/project:tm/complexity-report --file=archived/2024-01-01.md
→ View historical analysis
After viewing:
/project:tm/expand 5
→ Expand high-complexity task
```

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Expand all pending tasks that need subtasks.
## Bulk Task Expansion
Intelligently expands all tasks that would benefit from breakdown.
## Execution
```bash
task-master expand --all
```
## Smart Selection
Only expands tasks that:
- Are marked as pending
- Have high complexity (>5)
- Lack existing subtasks
- Would benefit from breakdown
## Expansion Process
1. **Analysis Phase**
- Identify expansion candidates
- Group related tasks
- Plan expansion strategy
2. **Batch Processing**
- Expand tasks in logical order
- Maintain consistency
- Preserve relationships
- Optimize for parallelism
3. **Quality Control**
- Ensure subtask quality
- Avoid over-decomposition
- Maintain task coherence
- Update dependencies
## Options
- Add `force` to expand all regardless of complexity
- Add `research` for enhanced AI analysis
## Results
After bulk expansion:
- Summary of tasks expanded
- New subtask count
- Updated complexity metrics
- Suggested task order

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Break down a complex task into subtasks.
Arguments: $ARGUMENTS (task ID)
## Intelligent Task Expansion
Analyzes a task and creates detailed subtasks for better manageability.
## Execution
```bash
task-master expand --id=$ARGUMENTS
```
## Expansion Process
1. **Task Analysis**
- Review task complexity
- Identify components
- Detect technical challenges
- Estimate time requirements
2. **Subtask Generation**
- Create 3-7 subtasks typically
- Each subtask 1-4 hours
- Logical implementation order
- Clear acceptance criteria
3. **Smart Breakdown**
- Setup/configuration tasks
- Core implementation
- Testing components
- Integration steps
- Documentation updates
## Enhanced Features
Based on task type:
- **Feature**: Setup → Implement → Test → Integrate
- **Bug Fix**: Reproduce → Diagnose → Fix → Verify
- **Refactor**: Analyze → Plan → Refactor → Validate
## Post-Expansion
After expansion:
1. Show subtask hierarchy
2. Update time estimates
3. Suggest implementation order
4. Highlight critical path

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Automatically fix dependency issues found during validation.
## Automatic Dependency Repair
Intelligently fixes common dependency problems while preserving project logic.
## Execution
```bash
task-master fix-dependencies
```
## What Gets Fixed
### 1. **Auto-Fixable Issues**
- Remove references to deleted tasks
- Break simple circular dependencies
- Remove self-dependencies
- Clean up duplicate dependencies
### 2. **Smart Resolutions**
- Reorder dependencies to maintain logic
- Suggest task merging for over-dependent tasks
- Flatten unnecessary dependency chains
- Remove redundant transitive dependencies
### 3. **Manual Review Required**
- Complex circular dependencies
- Critical path modifications
- Business logic dependencies
- High-impact changes
## Fix Process
1. **Analysis Phase**
- Run validation check
- Categorize issues by type
- Determine fix strategy
2. **Execution Phase**
- Apply automatic fixes
- Log all changes made
- Preserve task relationships
3. **Verification Phase**
- Re-validate after fixes
- Show before/after comparison
- Highlight manual fixes needed
## Smart Features
- Preserves intended task flow
- Minimal disruption approach
- Creates fix history/log
- Suggests manual interventions
## Output Example
```
Dependency Auto-Fix Report
━━━━━━━━━━━━━━━━━━━━━━━━
Fixed Automatically:
✅ Removed 2 references to deleted tasks
✅ Resolved 1 self-dependency
✅ Cleaned 3 redundant dependencies
Manual Review Needed:
⚠️ Complex circular dependency: #12 → #15 → #18 → #12
Suggestion: Make #15 not depend on #12
⚠️ Task #45 has 8 dependencies
Suggestion: Break into subtasks
Run '/project:tm/validate-dependencies' to verify fixes
```
## Safety
- Preview mode available
- Rollback capability
- Change logging
- No data loss

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Generate individual task files from tasks.json.
## Task File Generation
Creates separate markdown files for each task, perfect for AI agents or documentation.
## Execution
```bash
task-master generate
```
## What It Creates
For each task, generates a file like `task_001.txt`:
```
Task ID: 1
Title: Implement user authentication
Status: pending
Priority: high
Dependencies: []
Created: 2024-01-15
Complexity: 7
## Description
Create a secure user authentication system with login, logout, and session management.
## Details
- Use JWT tokens for session management
- Implement secure password hashing
- Add remember me functionality
- Include password reset flow
## Test Strategy
- Unit tests for auth functions
- Integration tests for login flow
- Security testing for vulnerabilities
- Performance tests for concurrent logins
## Subtasks
1.1 Setup authentication framework (pending)
1.2 Create login endpoints (pending)
1.3 Implement session management (pending)
1.4 Add password reset (pending)
```
## File Organization
Creates structure:
```
.taskmaster/
└── tasks/
├── task_001.txt
├── task_002.txt
├── task_003.txt
└── ...
```
## Smart Features
1. **Consistent Formatting**
- Standardized structure
- Clear sections
- AI-readable format
- Markdown compatible
2. **Contextual Information**
- Full task details
- Related task references
- Progress indicators
- Implementation notes
3. **Incremental Updates**
- Only regenerate changed tasks
- Preserve custom additions
- Track generation timestamp
- Version control friendly
## Use Cases
- **AI Context**: Provide task context to AI assistants
- **Documentation**: Standalone task documentation
- **Archival**: Task history preservation
- **Sharing**: Send specific tasks to team members
- **Review**: Easier task review process
## Generation Options
Based on arguments:
- Filter by status
- Include/exclude completed
- Custom templates
- Different formats
## Post-Generation
```
Task File Generation Complete
━━━━━━━━━━━━━━━━━━━━━━━━━━
Generated: 45 task files
Location: .taskmaster/tasks/
Total size: 156 KB
New files: 5
Updated files: 12
Unchanged: 28
Ready for:
- AI agent consumption
- Version control
- Team distribution
```
## Integration Benefits
- Git-trackable task history
- Easy task sharing
- AI tool compatibility
- Offline task access
- Backup redundancy

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Show help for Task Master commands.
Arguments: $ARGUMENTS
Display help for Task Master commands. If arguments provided, show specific command help.
## Task Master Command Help
### Quick Navigation
Type `/project:tm/` and use tab completion to explore all commands.
### Command Categories
#### 🚀 Setup & Installation
- `/project:tm/setup/install` - Comprehensive installation guide
- `/project:tm/setup/quick-install` - One-line global install
#### 📋 Project Setup
- `/project:tm/init` - Initialize new project
- `/project:tm/init/quick` - Quick setup with auto-confirm
- `/project:tm/models` - View AI configuration
- `/project:tm/models/setup` - Configure AI providers
#### 🎯 Task Generation
- `/project:tm/parse-prd` - Generate tasks from PRD
- `/project:tm/parse-prd/with-research` - Enhanced parsing
- `/project:tm/generate` - Create task files
#### 📝 Task Management
- `/project:tm/list` - List tasks (natural language filters)
- `/project:tm/show <id>` - Display task details
- `/project:tm/add-task` - Create new task
- `/project:tm/update` - Update tasks naturally
- `/project:tm/next` - Get next task recommendation
#### 🔄 Status Management
- `/project:tm/set-status/to-pending <id>`
- `/project:tm/set-status/to-in-progress <id>`
- `/project:tm/set-status/to-done <id>`
- `/project:tm/set-status/to-review <id>`
- `/project:tm/set-status/to-deferred <id>`
- `/project:tm/set-status/to-cancelled <id>`
#### 🔍 Analysis & Breakdown
- `/project:tm/analyze-complexity` - Analyze task complexity
- `/project:tm/expand <id>` - Break down complex task
- `/project:tm/expand/all` - Expand all eligible tasks
#### 🔗 Dependencies
- `/project:tm/add-dependency` - Add task dependency
- `/project:tm/remove-dependency` - Remove dependency
- `/project:tm/validate-dependencies` - Check for issues
#### 🤖 Workflows
- `/project:tm/workflows/smart-flow` - Intelligent workflows
- `/project:tm/workflows/pipeline` - Command chaining
- `/project:tm/workflows/auto-implement` - Auto-implementation
#### 📊 Utilities
- `/project:tm/utils/analyze` - Project analysis
- `/project:tm/status` - Project dashboard
- `/project:tm/learn` - Interactive learning
### Natural Language Examples
```
/project:tm/list pending high priority
/project:tm/update mark all API tasks as done
/project:tm/add-task create login system with OAuth
/project:tm/show current
```
### Getting Started
1. Install: `/project:tm/setup/quick-install`
2. Initialize: `/project:tm/init/quick`
3. Learn: `/project:tm/learn start`
4. Work: `/project:tm/workflows/smart-flow`
For detailed command info: `/project:tm/help <command-name>`

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# Task Master Command Reference
Comprehensive command structure for Task Master integration with Claude Code.
## Command Organization
Commands are organized hierarchically to match Task Master's CLI structure while providing enhanced Claude Code integration.
## Project Setup & Configuration
### `/project:tm/init`
- `index` - Initialize new project (handles PRD files intelligently)
- `quick` - Quick setup with auto-confirmation (-y flag)
### `/project:tm/models`
- `index` - View current AI model configuration
- `setup` - Interactive model configuration
- `set-main` - Set primary generation model
- `set-research` - Set research model
- `set-fallback` - Set fallback model
## Task Generation
### `/project:tm/parse-prd`
- `index` - Generate tasks from PRD document
- `with-research` - Enhanced parsing with research mode
### `/project:tm/generate`
- Create individual task files from tasks.json
## Task Management
### `/project:tm/list`
- `index` - Smart listing with natural language filters
- `with-subtasks` - Include subtasks in hierarchical view
- `by-status` - Filter by specific status
### `/project:tm/set-status`
- `to-pending` - Reset task to pending
- `to-in-progress` - Start working on task
- `to-done` - Mark task complete
- `to-review` - Submit for review
- `to-deferred` - Defer task
- `to-cancelled` - Cancel task
### `/project:tm/sync-readme`
- Export tasks to README.md with formatting
### `/project:tm/update`
- `index` - Update tasks with natural language
- `from-id` - Update multiple tasks from a starting point
- `single` - Update specific task
### `/project:tm/add-task`
- `index` - Add new task with AI assistance
### `/project:tm/remove-task`
- `index` - Remove task with confirmation
## Subtask Management
### `/project:tm/add-subtask`
- `index` - Add new subtask to parent
- `from-task` - Convert existing task to subtask
### `/project:tm/remove-subtask`
- Remove subtask (with optional conversion)
### `/project:tm/clear-subtasks`
- `index` - Clear subtasks from specific task
- `all` - Clear all subtasks globally
## Task Analysis & Breakdown
### `/project:tm/analyze-complexity`
- Analyze and generate expansion recommendations
### `/project:tm/complexity-report`
- Display complexity analysis report
### `/project:tm/expand`
- `index` - Break down specific task
- `all` - Expand all eligible tasks
- `with-research` - Enhanced expansion
## Task Navigation
### `/project:tm/next`
- Intelligent next task recommendation
### `/project:tm/show`
- Display detailed task information
### `/project:tm/status`
- Comprehensive project dashboard
## Dependency Management
### `/project:tm/add-dependency`
- Add task dependency
### `/project:tm/remove-dependency`
- Remove task dependency
### `/project:tm/validate-dependencies`
- Check for dependency issues
### `/project:tm/fix-dependencies`
- Automatically fix dependency problems
## Usage Patterns
### Natural Language
Most commands accept natural language arguments:
```
/project:tm/add-task create user authentication system
/project:tm/update mark all API tasks as high priority
/project:tm/list show blocked tasks
```
### ID-Based Commands
Commands requiring IDs intelligently parse from $ARGUMENTS:
```
/project:tm/show 45
/project:tm/expand 23
/project:tm/set-status/to-done 67
```
### Smart Defaults
Commands provide intelligent defaults and suggestions based on context.

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Initialize a new Task Master project.
Arguments: $ARGUMENTS
Parse arguments to determine initialization preferences.
## Initialization Process
1. **Parse Arguments**
- PRD file path (if provided)
- Project name
- Auto-confirm flag (-y)
2. **Project Setup**
```bash
task-master init
```
3. **Smart Initialization**
- Detect existing project files
- Suggest project name from directory
- Check for git repository
- Verify AI provider configuration
## Configuration Options
Based on arguments:
- `quick` / `-y` → Skip confirmations
- `<file.md>` → Use as PRD after init
- `--name=<name>` → Set project name
- `--description=<desc>` → Set description
## Post-Initialization
After successful init:
1. Show project structure created
2. Verify AI models configured
3. Suggest next steps:
- Parse PRD if available
- Configure AI providers
- Set up git hooks
- Create first tasks
## Integration
If PRD file provided:
```
/project:tm/init my-prd.md
→ Automatically runs parse-prd after init
```

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Quick initialization with auto-confirmation.
Arguments: $ARGUMENTS
Initialize a Task Master project without prompts, accepting all defaults.
## Quick Setup
```bash
task-master init -y
```
## What It Does
1. Creates `.taskmaster/` directory structure
2. Initializes empty `tasks.json`
3. Sets up default configuration
4. Uses directory name as project name
5. Skips all confirmation prompts
## Smart Defaults
- Project name: Current directory name
- Description: "Task Master Project"
- Model config: Existing environment vars
- Task structure: Standard format
## Next Steps
After quick init:
1. Configure AI models if needed:
```
/project:tm/models/setup
```
2. Parse PRD if available:
```
/project:tm/parse-prd <file>
```
3. Or create first task:
```
/project:tm/add-task create initial setup
```
Perfect for rapid project setup!

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Learn about Task Master capabilities through interactive exploration.
Arguments: $ARGUMENTS
## Interactive Task Master Learning
Based on your input, I'll help you discover capabilities:
### 1. **What are you trying to do?**
If $ARGUMENTS contains:
- "start" / "begin" → Show project initialization workflows
- "manage" / "organize" → Show task management commands
- "automate" / "auto" → Show automation workflows
- "analyze" / "report" → Show analysis tools
- "fix" / "problem" → Show troubleshooting commands
- "fast" / "quick" → Show efficiency shortcuts
### 2. **Intelligent Suggestions**
Based on your project state:
**No tasks yet?**
```
You'll want to start with:
1. /project:task-master:init <prd-file>
→ Creates tasks from requirements
2. /project:task-master:parse-prd <file>
→ Alternative task generation
Try: /project:task-master:init demo-prd.md
```
**Have tasks?**
Let me analyze what you might need...
- Many pending tasks? → Learn sprint planning
- Complex tasks? → Learn task expansion
- Daily work? → Learn workflow automation
### 3. **Command Discovery**
**By Category:**
- 📋 Task Management: list, show, add, update, complete
- 🔄 Workflows: auto-implement, sprint-plan, daily-standup
- 🛠️ Utilities: check-health, complexity-report, sync-memory
- 🔍 Analysis: validate-deps, show dependencies
**By Scenario:**
- "I want to see what to work on" → `/project:task-master:next`
- "I need to break this down" → `/project:task-master:expand <id>`
- "Show me everything" → `/project:task-master:status`
- "Just do it for me" → `/project:workflows:auto-implement`
### 4. **Power User Patterns**
**Command Chaining:**
```
/project:task-master:next
/project:task-master:start <id>
/project:workflows:auto-implement
```
**Smart Filters:**
```
/project:task-master:list pending high
/project:task-master:list blocked
/project:task-master:list 1-5 tree
```
**Automation:**
```
/project:workflows:pipeline init → expand-all → sprint-plan
```
### 5. **Learning Path**
Based on your experience level:
**Beginner Path:**
1. init → Create project
2. status → Understand state
3. next → Find work
4. complete → Finish task
**Intermediate Path:**
1. expand → Break down complex tasks
2. sprint-plan → Organize work
3. complexity-report → Understand difficulty
4. validate-deps → Ensure consistency
**Advanced Path:**
1. pipeline → Chain operations
2. smart-flow → Context-aware automation
3. Custom commands → Extend the system
### 6. **Try This Now**
Based on what you asked about, try:
[Specific command suggestion based on $ARGUMENTS]
Want to learn more about a specific command?
Type: /project:help <command-name>

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List tasks filtered by a specific status.
Arguments: $ARGUMENTS
Parse the status from arguments and list only tasks matching that status.
## Status Options
- `pending` - Not yet started
- `in-progress` - Currently being worked on
- `done` - Completed
- `review` - Awaiting review
- `deferred` - Postponed
- `cancelled` - Cancelled
## Execution
Based on $ARGUMENTS, run:
```bash
task-master list --status=$ARGUMENTS
```
## Enhanced Display
For the filtered results:
- Group by priority within the status
- Show time in current status
- Highlight tasks approaching deadlines
- Display blockers and dependencies
- Suggest next actions for each status group
## Intelligent Insights
Based on the status filter:
- **Pending**: Show recommended start order
- **In-Progress**: Display idle time warnings
- **Done**: Show newly unblocked tasks
- **Review**: Indicate review duration
- **Deferred**: Show reactivation criteria
- **Cancelled**: Display impact analysis

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List tasks with intelligent argument parsing.
Parse arguments to determine filters and display options:
- Status: pending, in-progress, done, review, deferred, cancelled
- Priority: high, medium, low (or priority:high)
- Special: subtasks, tree, dependencies, blocked
- IDs: Direct numbers (e.g., "1,3,5" or "1-5")
- Complex: "pending high" = pending AND high priority
Arguments: $ARGUMENTS
Let me parse your request intelligently:
1. **Detect Filter Intent**
- If arguments contain status keywords → filter by status
- If arguments contain priority → filter by priority
- If arguments contain "subtasks" → include subtasks
- If arguments contain "tree" → hierarchical view
- If arguments contain numbers → show specific tasks
- If arguments contain "blocked" → show blocked tasks only
2. **Smart Combinations**
Examples of what I understand:
- "pending high" → pending tasks with high priority
- "done today" → tasks completed today
- "blocked" → tasks with unmet dependencies
- "1-5" → tasks 1 through 5
- "subtasks tree" → hierarchical view with subtasks
3. **Execute Appropriate Query**
Based on parsed intent, run the most specific task-master command
4. **Enhanced Display**
- Group by relevant criteria
- Show most important information first
- Use visual indicators for quick scanning
- Include relevant metrics
5. **Intelligent Suggestions**
Based on what you're viewing, suggest next actions:
- Many pending? → Suggest priority order
- Many blocked? → Show dependency resolution
- Looking at specific tasks? → Show related tasks

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List all tasks including their subtasks in a hierarchical view.
This command shows all tasks with their nested subtasks, providing a complete project overview.
## Execution
Run the Task Master list command with subtasks flag:
```bash
task-master list --with-subtasks
```
## Enhanced Display
I'll organize the output to show:
- Parent tasks with clear indicators
- Nested subtasks with proper indentation
- Status badges for quick scanning
- Dependencies and blockers highlighted
- Progress indicators for tasks with subtasks
## Smart Filtering
Based on the task hierarchy:
- Show completion percentage for parent tasks
- Highlight blocked subtask chains
- Group by functional areas
- Indicate critical path items
This gives you a complete tree view of your project structure.

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View current AI model configuration.
## Model Configuration Display
Shows the currently configured AI providers and models for Task Master.
## Execution
```bash
task-master models
```
## Information Displayed
1. **Main Provider**
- Model ID and name
- API key status (configured/missing)
- Usage: Primary task generation
2. **Research Provider**
- Model ID and name
- API key status
- Usage: Enhanced research mode
3. **Fallback Provider**
- Model ID and name
- API key status
- Usage: Backup when main fails
## Visual Status
```
Task Master AI Model Configuration
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Main: ✅ claude-3-5-sonnet (configured)
Research: ✅ perplexity-sonar (configured)
Fallback: ⚠️ Not configured (optional)
Available Models:
- claude-3-5-sonnet
- gpt-4-turbo
- gpt-3.5-turbo
- perplexity-sonar
```
## Next Actions
Based on configuration:
- If missing API keys → Suggest setup
- If no research model → Explain benefits
- If all configured → Show usage tips

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Run interactive setup to configure AI models.
## Interactive Model Configuration
Guides you through setting up AI providers for Task Master.
## Execution
```bash
task-master models --setup
```
## Setup Process
1. **Environment Check**
- Detect existing API keys
- Show current configuration
- Identify missing providers
2. **Provider Selection**
- Choose main provider (required)
- Select research provider (recommended)
- Configure fallback (optional)
3. **API Key Configuration**
- Prompt for missing keys
- Validate key format
- Test connectivity
- Save configuration
## Smart Recommendations
Based on your needs:
- **For best results**: Claude + Perplexity
- **Budget conscious**: GPT-3.5 + Perplexity
- **Maximum capability**: GPT-4 + Perplexity + Claude fallback
## Configuration Storage
Keys can be stored in:
1. Environment variables (recommended)
2. `.env` file in project
3. Global `.taskmaster/config`
## Post-Setup
After configuration:
- Test each provider
- Show usage examples
- Suggest next steps
- Verify parse-prd works

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Intelligently determine and prepare the next action based on comprehensive context.
This enhanced version of 'next' considers:
- Current task states
- Recent activity
- Time constraints
- Dependencies
- Your working patterns
Arguments: $ARGUMENTS
## Intelligent Next Action
### 1. **Context Gathering**
Let me analyze the current situation:
- Active tasks (in-progress)
- Recently completed tasks
- Blocked tasks
- Time since last activity
- Arguments provided: $ARGUMENTS
### 2. **Smart Decision Tree**
**If you have an in-progress task:**
- Has it been idle > 2 hours? → Suggest resuming or switching
- Near completion? → Show remaining steps
- Blocked? → Find alternative task
**If no in-progress tasks:**
- Unblocked high-priority tasks? → Start highest
- Complex tasks need breakdown? → Suggest expansion
- All tasks blocked? → Show dependency resolution
**Special arguments handling:**
- "quick" → Find task < 2 hours
- "easy" Find low complexity task
- "important" Find high priority regardless of complexity
- "continue" Resume last worked task
### 3. **Preparation Workflow**
Based on selected task:
1. Show full context and history
2. Set up development environment
3. Run relevant tests
4. Open related files
5. Show similar completed tasks
6. Estimate completion time
### 4. **Alternative Suggestions**
Always provide options:
- Primary recommendation
- Quick alternative (< 1 hour)
- Strategic option (unblocks most tasks)
- Learning option (new technology/skill)
### 5. **Workflow Integration**
Seamlessly connect to:
- `/project:task-master:start [selected]`
- `/project:workflows:auto-implement`
- `/project:task-master:expand` (if complex)
- `/project:utils:complexity-report` (if unsure)
The goal: Zero friction from decision to implementation.

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Parse a PRD document to generate tasks.
Arguments: $ARGUMENTS (PRD file path)
## Intelligent PRD Parsing
Analyzes your requirements document and generates a complete task breakdown.
## Execution
```bash
task-master parse-prd --input=$ARGUMENTS
```
## Parsing Process
1. **Document Analysis**
- Extract key requirements
- Identify technical components
- Detect dependencies
- Estimate complexity
2. **Task Generation**
- Create 10-15 tasks by default
- Include implementation tasks
- Add testing tasks
- Include documentation tasks
- Set logical dependencies
3. **Smart Enhancements**
- Group related functionality
- Set appropriate priorities
- Add acceptance criteria
- Include test strategies
## Options
Parse arguments for modifiers:
- Number after filename → `--num-tasks`
- `research` → Use research mode
- `comprehensive` → Generate more tasks
## Post-Generation
After parsing:
1. Display task summary
2. Show dependency graph
3. Suggest task expansion for complex items
4. Recommend sprint planning

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Parse PRD with enhanced research mode for better task generation.
Arguments: $ARGUMENTS (PRD file path)
## Research-Enhanced Parsing
Uses the research AI provider (typically Perplexity) for more comprehensive task generation with current best practices.
## Execution
```bash
task-master parse-prd --input=$ARGUMENTS --research
```
## Research Benefits
1. **Current Best Practices**
- Latest framework patterns
- Security considerations
- Performance optimizations
- Accessibility requirements
2. **Technical Deep Dive**
- Implementation approaches
- Library recommendations
- Architecture patterns
- Testing strategies
3. **Comprehensive Coverage**
- Edge cases consideration
- Error handling tasks
- Monitoring setup
- Deployment tasks
## Enhanced Output
Research mode typically:
- Generates more detailed tasks
- Includes industry standards
- Adds compliance considerations
- Suggests modern tooling
## When to Use
- New technology domains
- Complex requirements
- Regulatory compliance needed
- Best practices crucial

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Remove a dependency between tasks.
Arguments: $ARGUMENTS
Parse the task IDs to remove dependency relationship.
## Removing Dependencies
Removes a dependency relationship, potentially unblocking tasks.
## Argument Parsing
Parse natural language or IDs:
- "remove dependency between 5 and 3"
- "5 no longer needs 3"
- "unblock 5 from 3"
- "5 3" → remove dependency of 5 on 3
## Execution
```bash
task-master remove-dependency --id=<task-id> --depends-on=<dependency-id>
```
## Pre-Removal Checks
1. **Verify dependency exists**
2. **Check impact on task flow**
3. **Warn if it breaks logical sequence**
4. **Show what will be unblocked**
## Smart Analysis
Before removing:
- Show why dependency might have existed
- Check if removal makes tasks executable
- Verify no critical path disruption
- Suggest alternative dependencies
## Post-Removal
After removing:
1. Show updated task status
2. List newly unblocked tasks
3. Update project timeline
4. Suggest next actions
## Safety Features
- Confirm if removing critical dependency
- Show tasks that become immediately actionable
- Warn about potential issues
- Keep removal history
## Example
```
/project:tm/remove-dependency 5 from 3
→ Removed: Task #5 no longer depends on #3
→ Task #5 is now UNBLOCKED and ready to start
→ Warning: Consider if #5 still needs #2 completed first
```

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Remove a subtask from its parent task.
Arguments: $ARGUMENTS
Parse subtask ID to remove, with option to convert to standalone task.
## Removing Subtasks
Remove a subtask and optionally convert it back to a standalone task.
## Argument Parsing
- "remove subtask 5.1"
- "delete 5.1"
- "convert 5.1 to task" → remove and convert
- "5.1 standalone" → convert to standalone
## Execution Options
### 1. Delete Subtask
```bash
task-master remove-subtask --id=<parentId.subtaskId>
```
### 2. Convert to Standalone
```bash
task-master remove-subtask --id=<parentId.subtaskId> --convert
```
## Pre-Removal Checks
1. **Validate Subtask**
- Verify subtask exists
- Check completion status
- Review dependencies
2. **Impact Analysis**
- Other subtasks that depend on it
- Parent task implications
- Data that will be lost
## Removal Process
### For Deletion:
1. Confirm if subtask has work done
2. Update parent task estimates
3. Remove subtask and its data
4. Clean up dependencies
### For Conversion:
1. Assign new standalone task ID
2. Preserve all task data
3. Update dependency references
4. Maintain task history
## Smart Features
- Warn if subtask is in-progress
- Show impact on parent task
- Preserve important data
- Update related estimates
## Example Flows
```
/project:tm/remove-subtask 5.1
→ Warning: Subtask #5.1 is in-progress
→ This will delete all subtask data
→ Parent task #5 will be updated
Confirm deletion? (y/n)
/project:tm/remove-subtask 5.1 convert
→ Converting subtask #5.1 to standalone task #89
→ Preserved: All task data and history
→ Updated: 2 dependency references
→ New task #89 is now independent
```
## Post-Removal
- Update parent task status
- Recalculate estimates
- Show updated hierarchy
- Suggest next actions

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Remove a task permanently from the project.
Arguments: $ARGUMENTS (task ID)
Delete a task and handle all its relationships properly.
## Task Removal
Permanently removes a task while maintaining project integrity.
## Argument Parsing
- "remove task 5"
- "delete 5"
- "5" → remove task 5
- Can include "-y" for auto-confirm
## Execution
```bash
task-master remove-task --id=<id> [-y]
```
## Pre-Removal Analysis
1. **Task Details**
- Current status
- Work completed
- Time invested
- Associated data
2. **Relationship Check**
- Tasks that depend on this
- Dependencies this task has
- Subtasks that will be removed
- Blocking implications
3. **Impact Assessment**
```
Task Removal Impact
━━━━━━━━━━━━━━━━━━
Task: #5 "Implement authentication" (in-progress)
Status: 60% complete (~8 hours work)
Will affect:
- 3 tasks depend on this (will be blocked)
- Has 4 subtasks (will be deleted)
- Part of critical path
⚠️ This action cannot be undone
```
## Smart Warnings
- Warn if task is in-progress
- Show dependent tasks that will be blocked
- Highlight if part of critical path
- Note any completed work being lost
## Removal Process
1. Show comprehensive impact
2. Require confirmation (unless -y)
3. Update dependent task references
4. Remove task and subtasks
5. Clean up orphaned dependencies
6. Log removal with timestamp
## Alternative Actions
Suggest before deletion:
- Mark as cancelled instead
- Convert to documentation
- Archive task data
- Transfer work to another task
## Post-Removal
- List affected tasks
- Show broken dependencies
- Update project statistics
- Suggest dependency fixes
- Recalculate timeline
## Example Flows
```
/project:tm/remove-task 5
→ Task #5 is in-progress with 8 hours logged
→ 3 other tasks depend on this
→ Suggestion: Mark as cancelled instead?
Remove anyway? (y/n)
/project:tm/remove-task 5 -y
→ Removed: Task #5 and 4 subtasks
→ Updated: 3 task dependencies
→ Warning: Tasks #7, #8, #9 now have missing dependency
→ Run /project:tm/fix-dependencies to resolve
```
## Safety Features
- Confirmation required
- Impact preview
- Removal logging
- Suggest alternatives
- No cascade delete of dependents

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Cancel a task permanently.
Arguments: $ARGUMENTS (task ID)
## Cancelling a Task
This status indicates a task is no longer needed and won't be completed.
## Valid Reasons for Cancellation
- Requirements changed
- Feature deprecated
- Duplicate of another task
- Strategic pivot
- Technical approach invalidated
## Pre-Cancellation Checks
1. Confirm no critical dependencies
2. Check for partial implementation
3. Verify cancellation rationale
4. Document lessons learned
## Execution
```bash
task-master set-status --id=$ARGUMENTS --status=cancelled
```
## Cancellation Impact
When cancelling:
1. **Dependency Updates**
- Notify dependent tasks
- Update project scope
- Recalculate timelines
2. **Clean-up Actions**
- Remove related branches
- Archive any work done
- Update documentation
- Close related issues
3. **Learning Capture**
- Document why cancelled
- Note what was learned
- Update estimation models
- Prevent future duplicates
## Historical Preservation
- Keep for reference
- Tag with cancellation reason
- Link to replacement if any
- Maintain audit trail

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Defer a task for later consideration.
Arguments: $ARGUMENTS (task ID)
## Deferring a Task
This status indicates a task is valid but not currently actionable or prioritized.
## Valid Reasons for Deferral
- Waiting for external dependencies
- Reprioritized for future sprint
- Blocked by technical limitations
- Resource constraints
- Strategic timing considerations
## Execution
```bash
task-master set-status --id=$ARGUMENTS --status=deferred
```
## Deferral Management
When deferring:
1. **Document Reason**
- Capture why it's being deferred
- Set reactivation criteria
- Note any partial work completed
2. **Impact Analysis**
- Check dependent tasks
- Update project timeline
- Notify affected stakeholders
3. **Future Planning**
- Set review reminders
- Tag for specific milestone
- Preserve context for reactivation
- Link to blocking issues
## Smart Tracking
- Monitor deferral duration
- Alert when criteria met
- Prevent scope creep
- Regular review cycles

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Mark a task as completed.
Arguments: $ARGUMENTS (task ID)
## Completing a Task
This command validates task completion and updates project state intelligently.
## Pre-Completion Checks
1. Verify test strategy was followed
2. Check if all subtasks are complete
3. Validate acceptance criteria met
4. Ensure code is committed
## Execution
```bash
task-master set-status --id=$ARGUMENTS --status=done
```
## Post-Completion Actions
1. **Update Dependencies**
- Identify newly unblocked tasks
- Update sprint progress
- Recalculate project timeline
2. **Documentation**
- Generate completion summary
- Update CLAUDE.md with learnings
- Log implementation approach
3. **Next Steps**
- Show newly available tasks
- Suggest logical next task
- Update velocity metrics
## Celebration & Learning
- Show impact of completion
- Display unblocked work
- Recognize achievement
- Capture lessons learned

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Start working on a task by setting its status to in-progress.
Arguments: $ARGUMENTS (task ID)
## Starting Work on Task
This command does more than just change status - it prepares your environment for productive work.
## Pre-Start Checks
1. Verify dependencies are met
2. Check if another task is already in-progress
3. Ensure task details are complete
4. Validate test strategy exists
## Execution
```bash
task-master set-status --id=$ARGUMENTS --status=in-progress
```
## Environment Setup
After setting to in-progress:
1. Create/checkout appropriate git branch
2. Open relevant documentation
3. Set up test watchers if applicable
4. Display task details and acceptance criteria
5. Show similar completed tasks for reference
## Smart Suggestions
- Estimated completion time based on complexity
- Related files from similar tasks
- Potential blockers to watch for
- Recommended first steps

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Set a task's status to pending.
Arguments: $ARGUMENTS (task ID)
## Setting Task to Pending
This moves a task back to the pending state, useful for:
- Resetting erroneously started tasks
- Deferring work that was prematurely begun
- Reorganizing sprint priorities
## Execution
```bash
task-master set-status --id=$ARGUMENTS --status=pending
```
## Validation
Before setting to pending:
- Warn if task is currently in-progress
- Check if this will block other tasks
- Suggest documenting why it's being reset
- Preserve any work already done
## Smart Actions
After setting to pending:
- Update sprint planning if needed
- Notify about freed resources
- Suggest priority reassessment
- Log the status change with context

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Set a task's status to review.
Arguments: $ARGUMENTS (task ID)
## Marking Task for Review
This status indicates work is complete but needs verification before final approval.
## When to Use Review Status
- Code complete but needs peer review
- Implementation done but needs testing
- Documentation written but needs proofreading
- Design complete but needs stakeholder approval
## Execution
```bash
task-master set-status --id=$ARGUMENTS --status=review
```
## Review Preparation
When setting to review:
1. **Generate Review Checklist**
- Link to PR/MR if applicable
- Highlight key changes
- Note areas needing attention
- Include test results
2. **Documentation**
- Update task with review notes
- Link relevant artifacts
- Specify reviewers if known
3. **Smart Actions**
- Create review reminders
- Track review duration
- Suggest reviewers based on expertise
- Prepare rollback plan if needed

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Check if Task Master is installed and install it if needed.
This command helps you get Task Master set up globally on your system.
## Detection and Installation Process
1. **Check Current Installation**
```bash
# Check if task-master command exists
which task-master || echo "Task Master not found"
# Check npm global packages
npm list -g task-master-ai
```
2. **System Requirements Check**
```bash
# Verify Node.js is installed
node --version
# Verify npm is installed
npm --version
# Check Node version (need 16+)
```
3. **Install Task Master Globally**
If not installed, run:
```bash
npm install -g task-master-ai
```
4. **Verify Installation**
```bash
# Check version
task-master --version
# Verify command is available
which task-master
```
5. **Initial Setup**
```bash
# Initialize in current directory
task-master init
```
6. **Configure AI Provider**
Ensure you have at least one AI provider API key set:
```bash
# Check current configuration
task-master models --status
# If no API keys found, guide setup
echo "You'll need at least one API key:"
echo "- ANTHROPIC_API_KEY for Claude"
echo "- OPENAI_API_KEY for GPT models"
echo "- PERPLEXITY_API_KEY for research"
echo ""
echo "Set them in your shell profile or .env file"
```
7. **Quick Test**
```bash
# Create a test PRD
echo "Build a simple hello world API" > test-prd.txt
# Try parsing it
task-master parse-prd test-prd.txt -n 3
```
## Troubleshooting
If installation fails:
**Permission Errors:**
```bash
# Try with sudo (macOS/Linux)
sudo npm install -g task-master-ai
# Or fix npm permissions
npm config set prefix ~/.npm-global
export PATH=~/.npm-global/bin:$PATH
```
**Network Issues:**
```bash
# Use different registry
npm install -g task-master-ai --registry https://registry.npmjs.org/
```
**Node Version Issues:**
```bash
# Install Node 18+ via nvm
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.0/install.sh | bash
nvm install 18
nvm use 18
```
## Success Confirmation
Once installed, you should see:
```
✅ Task Master v0.16.2 (or higher) installed
✅ Command 'task-master' available globally
✅ AI provider configured
✅ Ready to use slash commands!
Try: /project:task-master:init your-prd.md
```
## Next Steps
After installation:
1. Run `/project:utils:check-health` to verify setup
2. Configure AI providers with `/project:task-master:models`
3. Start using Task Master commands!

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Quick install Task Master globally if not already installed.
Execute this streamlined installation:
```bash
# Check and install in one command
task-master --version 2>/dev/null || npm install -g task-master-ai
# Verify installation
task-master --version
# Quick setup check
task-master models --status || echo "Note: You'll need to set up an AI provider API key"
```
If you see "command not found" after installation, you may need to:
1. Restart your terminal
2. Or add npm global bin to PATH: `export PATH=$(npm bin -g):$PATH`
Once installed, you can use all the Task Master commands!
Quick test: Run `/project:help` to see all available commands.

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Show detailed task information with rich context and insights.
Arguments: $ARGUMENTS
## Enhanced Task Display
Parse arguments to determine what to show and how.
### 1. **Smart Task Selection**
Based on $ARGUMENTS:
- Number → Show specific task with full context
- "current" → Show active in-progress task(s)
- "next" → Show recommended next task
- "blocked" → Show all blocked tasks with reasons
- "critical" → Show critical path tasks
- Multiple IDs → Comparative view
### 2. **Contextual Information**
For each task, intelligently include:
**Core Details**
- Full task information (id, title, description, details)
- Current status with history
- Test strategy and acceptance criteria
- Priority and complexity analysis
**Relationships**
- Dependencies (what it needs)
- Dependents (what needs it)
- Parent/subtask hierarchy
- Related tasks (similar work)
**Time Intelligence**
- Created/updated timestamps
- Time in current status
- Estimated vs actual time
- Historical completion patterns
### 3. **Visual Enhancements**
```
📋 Task #45: Implement User Authentication
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Status: 🟡 in-progress (2 hours)
Priority: 🔴 High | Complexity: 73/100
Dependencies: ✅ #41, ✅ #42, ⏳ #43 (blocked)
Blocks: #46, #47, #52
Progress: ████████░░ 80% complete
Recent Activity:
- 2h ago: Status changed to in-progress
- 4h ago: Dependency #42 completed
- Yesterday: Task expanded with 3 subtasks
```
### 4. **Intelligent Insights**
Based on task analysis:
- **Risk Assessment**: Complexity vs time remaining
- **Bottleneck Analysis**: Is this blocking critical work?
- **Recommendation**: Suggested approach or concerns
- **Similar Tasks**: How others completed similar work
### 5. **Action Suggestions**
Context-aware next steps:
- If blocked → Show how to unblock
- If complex → Suggest expansion
- If in-progress → Show completion checklist
- If done → Show dependent tasks ready to start
### 6. **Multi-Task View**
When showing multiple tasks:
- Common dependencies
- Optimal completion order
- Parallel work opportunities
- Combined complexity analysis

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Enhanced status command with comprehensive project insights.
Arguments: $ARGUMENTS
## Intelligent Status Overview
### 1. **Executive Summary**
Quick dashboard view:
- 🏃 Active work (in-progress tasks)
- 📊 Progress metrics (% complete, velocity)
- 🚧 Blockers and risks
- ⏱️ Time analysis (estimated vs actual)
- 🎯 Sprint/milestone progress
### 2. **Contextual Analysis**
Based on $ARGUMENTS, focus on:
- "sprint" → Current sprint progress and burndown
- "blocked" → Dependency chains and resolution paths
- "team" → Task distribution and workload
- "timeline" → Schedule adherence and projections
- "risk" → High complexity or overdue items
### 3. **Smart Insights**
**Workflow Health:**
- Idle tasks (in-progress > 24h without updates)
- Bottlenecks (multiple tasks waiting on same dependency)
- Quick wins (low complexity, high impact)
**Predictive Analytics:**
- Completion projections based on velocity
- Risk of missing deadlines
- Recommended task order for optimal flow
### 4. **Visual Intelligence**
Dynamic visualization based on data:
```
Sprint Progress: ████████░░ 80% (16/20 tasks)
Velocity Trend: ↗️ +15% this week
Blocked Tasks: 🔴 3 critical path items
Priority Distribution:
High: ████████ 8 tasks (2 blocked)
Medium: ████░░░░ 4 tasks
Low: ██░░░░░░ 2 tasks
```
### 5. **Actionable Recommendations**
Based on analysis:
1. **Immediate actions** (unblock critical path)
2. **Today's focus** (optimal task sequence)
3. **Process improvements** (recurring patterns)
4. **Resource needs** (skills, time, dependencies)
### 6. **Historical Context**
Compare to previous periods:
- Velocity changes
- Pattern recognition
- Improvement areas
- Success patterns to repeat

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Export tasks to README.md with professional formatting.
Arguments: $ARGUMENTS
Generate a well-formatted README with current task information.
## README Synchronization
Creates or updates README.md with beautifully formatted task information.
## Argument Parsing
Optional filters:
- "pending" → Only pending tasks
- "with-subtasks" → Include subtask details
- "by-priority" → Group by priority
- "sprint" → Current sprint only
## Execution
```bash
task-master sync-readme [--with-subtasks] [--status=<status>]
```
## README Generation
### 1. **Project Header**
```markdown
# Project Name
## 📋 Task Progress
Last Updated: 2024-01-15 10:30 AM
### Summary
- Total Tasks: 45
- Completed: 15 (33%)
- In Progress: 5 (11%)
- Pending: 25 (56%)
```
### 2. **Task Sections**
Organized by status or priority:
- Progress indicators
- Task descriptions
- Dependencies noted
- Time estimates
### 3. **Visual Elements**
- Progress bars
- Status badges
- Priority indicators
- Completion checkmarks
## Smart Features
1. **Intelligent Grouping**
- By feature area
- By sprint/milestone
- By assigned developer
- By priority
2. **Progress Tracking**
- Overall completion
- Sprint velocity
- Burndown indication
- Time tracking
3. **Formatting Options**
- GitHub-flavored markdown
- Task checkboxes
- Collapsible sections
- Table format available
## Example Output
```markdown
## 🚀 Current Sprint
### In Progress
- [ ] 🔄 #5 **Implement user authentication** (60% complete)
- Dependencies: API design (#3 ✅)
- Subtasks: 4 (2 completed)
- Est: 8h / Spent: 5h
### Pending (High Priority)
- [ ]#8 **Create dashboard UI**
- Blocked by: #5
- Complexity: High
- Est: 12h
```
## Customization
Based on arguments:
- Include/exclude sections
- Detail level control
- Custom grouping
- Filter by criteria
## Post-Sync
After generation:
1. Show diff preview
2. Backup existing README
3. Write new content
4. Commit reminder
5. Update timestamp
## Integration
Works well with:
- Git workflows
- CI/CD pipelines
- Project documentation
- Team updates
- Client reports

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Update multiple tasks starting from a specific ID.
Arguments: $ARGUMENTS
Parse starting task ID and update context.
## Bulk Task Updates
Update multiple related tasks based on new requirements or context changes.
## Argument Parsing
- "from 5: add security requirements"
- "5 onwards: update API endpoints"
- "starting at 5: change to use new framework"
## Execution
```bash
task-master update --from=<id> --prompt="<context>"
```
## Update Process
### 1. **Task Selection**
Starting from specified ID:
- Include the task itself
- Include all dependent tasks
- Include related subtasks
- Smart boundary detection
### 2. **Context Application**
AI analyzes the update context and:
- Identifies what needs changing
- Maintains consistency
- Preserves completed work
- Updates related information
### 3. **Intelligent Updates**
- Modify descriptions appropriately
- Update test strategies
- Adjust time estimates
- Revise dependencies if needed
## Smart Features
1. **Scope Detection**
- Find natural task groupings
- Identify related features
- Stop at logical boundaries
- Avoid over-updating
2. **Consistency Maintenance**
- Keep naming conventions
- Preserve relationships
- Update cross-references
- Maintain task flow
3. **Change Preview**
```
Bulk Update Preview
━━━━━━━━━━━━━━━━━━
Starting from: Task #5
Tasks to update: 8 tasks + 12 subtasks
Context: "add security requirements"
Changes will include:
- Add security sections to descriptions
- Update test strategies for security
- Add security-related subtasks where needed
- Adjust time estimates (+20% average)
Continue? (y/n)
```
## Example Updates
```
/project:tm/update/from-id 5: change database to PostgreSQL
→ Analyzing impact starting from task #5
→ Found 6 related tasks to update
→ Updates will maintain consistency
→ Preview changes? (y/n)
Applied updates:
✓ Task #5: Updated connection logic references
✓ Task #6: Changed migration approach
✓ Task #7: Updated query syntax notes
✓ Task #8: Revised testing strategy
✓ Task #9: Updated deployment steps
✓ Task #12: Changed backup procedures
```
## Safety Features
- Preview all changes
- Selective confirmation
- Rollback capability
- Change logging
- Validation checks
## Post-Update
- Summary of changes
- Consistency verification
- Suggest review tasks
- Update timeline if needed

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Update tasks with intelligent field detection and bulk operations.
Arguments: $ARGUMENTS
## Intelligent Task Updates
Parse arguments to determine update intent and execute smartly.
### 1. **Natural Language Processing**
Understand update requests like:
- "mark 23 as done" → Update status to done
- "increase priority of 45" → Set priority to high
- "add dependency on 12 to task 34" → Add dependency
- "tasks 20-25 need review" → Bulk status update
- "all API tasks high priority" → Pattern-based update
### 2. **Smart Field Detection**
Automatically detect what to update:
- Status keywords: done, complete, start, pause, review
- Priority changes: urgent, high, low, deprioritize
- Dependency updates: depends on, blocks, after
- Assignment: assign to, owner, responsible
- Time: estimate, spent, deadline
### 3. **Bulk Operations**
Support for multiple task updates:
```
Examples:
- "complete tasks 12, 15, 18"
- "all pending auth tasks to in-progress"
- "increase priority for tasks blocking 45"
- "defer all documentation tasks"
```
### 4. **Contextual Validation**
Before updating, check:
- Status transitions are valid
- Dependencies don't create cycles
- Priority changes make sense
- Bulk updates won't break project flow
Show preview:
```
Update Preview:
─────────────────
Tasks to update: #23, #24, #25
Change: status → in-progress
Impact: Will unblock tasks #30, #31
Warning: Task #24 has unmet dependencies
```
### 5. **Smart Suggestions**
Based on update:
- Completing task? → Show newly unblocked tasks
- Changing priority? → Show impact on sprint
- Adding dependency? → Check for conflicts
- Bulk update? → Show summary of changes
### 6. **Workflow Integration**
After updates:
- Auto-update dependent task states
- Trigger status recalculation
- Update sprint/milestone progress
- Log changes with context
Result: Flexible, intelligent task updates with safety checks.

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Update a single specific task with new information.
Arguments: $ARGUMENTS
Parse task ID and update details.
## Single Task Update
Precisely update one task with AI assistance to maintain consistency.
## Argument Parsing
Natural language updates:
- "5: add caching requirement"
- "update 5 to include error handling"
- "task 5 needs rate limiting"
- "5 change priority to high"
## Execution
```bash
task-master update-task --id=<id> --prompt="<context>"
```
## Update Types
### 1. **Content Updates**
- Enhance description
- Add requirements
- Clarify details
- Update acceptance criteria
### 2. **Metadata Updates**
- Change priority
- Adjust time estimates
- Update complexity
- Modify dependencies
### 3. **Strategic Updates**
- Revise approach
- Change test strategy
- Update implementation notes
- Adjust subtask needs
## AI-Powered Updates
The AI:
1. **Understands Context**
- Reads current task state
- Identifies update intent
- Maintains consistency
- Preserves important info
2. **Applies Changes**
- Updates relevant fields
- Keeps style consistent
- Adds without removing
- Enhances clarity
3. **Validates Results**
- Checks coherence
- Verifies completeness
- Maintains relationships
- Suggests related updates
## Example Updates
```
/project:tm/update/single 5: add rate limiting
→ Updating Task #5: "Implement API endpoints"
Current: Basic CRUD endpoints
Adding: Rate limiting requirements
Updated sections:
✓ Description: Added rate limiting mention
✓ Details: Added specific limits (100/min)
✓ Test Strategy: Added rate limit tests
✓ Complexity: Increased from 5 to 6
✓ Time Estimate: Increased by 2 hours
Suggestion: Also update task #6 (API Gateway) for consistency?
```
## Smart Features
1. **Incremental Updates**
- Adds without overwriting
- Preserves work history
- Tracks what changed
- Shows diff view
2. **Consistency Checks**
- Related task alignment
- Subtask compatibility
- Dependency validity
- Timeline impact
3. **Update History**
- Timestamp changes
- Track who/what updated
- Reason for update
- Previous versions
## Field-Specific Updates
Quick syntax for specific fields:
- "5 priority:high" → Update priority only
- "5 add-time:4h" → Add to time estimate
- "5 status:review" → Change status
- "5 depends:3,4" → Add dependencies
## Post-Update
- Show updated task
- Highlight changes
- Check related tasks
- Update suggestions
- Timeline adjustments

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Advanced project analysis with actionable insights and recommendations.
Arguments: $ARGUMENTS
## Comprehensive Project Analysis
Multi-dimensional analysis based on requested focus area.
### 1. **Analysis Modes**
Based on $ARGUMENTS:
- "velocity" → Sprint velocity and trends
- "quality" → Code quality metrics
- "risk" → Risk assessment and mitigation
- "dependencies" → Dependency graph analysis
- "team" → Workload and skill distribution
- "architecture" → System design coherence
- Default → Full spectrum analysis
### 2. **Velocity Analytics**
```
📊 Velocity Analysis
━━━━━━━━━━━━━━━━━━━
Current Sprint: 24 points/week ↗️ +20%
Rolling Average: 20 points/week
Efficiency: 85% (17/20 tasks on time)
Bottlenecks Detected:
- Code review delays (avg 4h wait)
- Test environment availability
- Dependency on external team
Recommendations:
1. Implement parallel review process
2. Add staging environment
3. Mock external dependencies
```
### 3. **Risk Assessment**
**Technical Risks**
- High complexity tasks without backup assignee
- Single points of failure in architecture
- Insufficient test coverage in critical paths
- Technical debt accumulation rate
**Project Risks**
- Critical path dependencies
- Resource availability gaps
- Deadline feasibility analysis
- Scope creep indicators
### 4. **Dependency Intelligence**
Visual dependency analysis:
```
Critical Path:
#12 → #15 → #23 → #45 → #50 (20 days)
↘ #24 → #46 ↗
Optimization: Parallelize #15 and #24
Time Saved: 3 days
```
### 5. **Quality Metrics**
**Code Quality**
- Test coverage trends
- Complexity scores
- Technical debt ratio
- Review feedback patterns
**Process Quality**
- Rework frequency
- Bug introduction rate
- Time to resolution
- Knowledge distribution
### 6. **Predictive Insights**
Based on patterns:
- Completion probability by deadline
- Resource needs projection
- Risk materialization likelihood
- Suggested interventions
### 7. **Executive Dashboard**
High-level summary with:
- Health score (0-100)
- Top 3 risks
- Top 3 opportunities
- Recommended actions
- Success probability
Result: Data-driven decisions with clear action paths.

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Validate all task dependencies for issues.
## Dependency Validation
Comprehensive check for dependency problems across the entire project.
## Execution
```bash
task-master validate-dependencies
```
## Validation Checks
1. **Circular Dependencies**
- A depends on B, B depends on A
- Complex circular chains
- Self-dependencies
2. **Missing Dependencies**
- References to non-existent tasks
- Deleted task references
- Invalid task IDs
3. **Logical Issues**
- Completed tasks depending on pending
- Cancelled tasks in dependency chains
- Impossible sequences
4. **Complexity Warnings**
- Over-complex dependency chains
- Too many dependencies per task
- Bottleneck tasks
## Smart Analysis
The validation provides:
- Visual dependency graph
- Critical path analysis
- Bottleneck identification
- Suggested optimizations
## Report Format
```
Dependency Validation Report
━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ No circular dependencies found
⚠️ 2 warnings found:
- Task #23 has 7 dependencies (consider breaking down)
- Task #45 blocks 5 other tasks (potential bottleneck)
❌ 1 error found:
- Task #67 depends on deleted task #66
Critical Path: #1 → #5 → #23 → #45 → #50 (15 days)
```
## Actionable Output
For each issue found:
- Clear description
- Impact assessment
- Suggested fix
- Command to resolve
## Next Steps
After validation:
- Run `/project:tm/fix-dependencies` to auto-fix
- Manually adjust problematic dependencies
- Rerun to verify fixes

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@@ -0,0 +1,97 @@
Enhanced auto-implementation with intelligent code generation and testing.
Arguments: $ARGUMENTS
## Intelligent Auto-Implementation
Advanced implementation with context awareness and quality checks.
### 1. **Pre-Implementation Analysis**
Before starting:
- Analyze task complexity and requirements
- Check codebase patterns and conventions
- Identify similar completed tasks
- Assess test coverage needs
- Detect potential risks
### 2. **Smart Implementation Strategy**
Based on task type and context:
**Feature Tasks**
1. Research existing patterns
2. Design component architecture
3. Implement with tests
4. Integrate with system
5. Update documentation
**Bug Fix Tasks**
1. Reproduce issue
2. Identify root cause
3. Implement minimal fix
4. Add regression tests
5. Verify side effects
**Refactoring Tasks**
1. Analyze current structure
2. Plan incremental changes
3. Maintain test coverage
4. Refactor step-by-step
5. Verify behavior unchanged
### 3. **Code Intelligence**
**Pattern Recognition**
- Learn from existing code
- Follow team conventions
- Use preferred libraries
- Match style guidelines
**Test-Driven Approach**
- Write tests first when possible
- Ensure comprehensive coverage
- Include edge cases
- Performance considerations
### 4. **Progressive Implementation**
Step-by-step with validation:
```
Step 1/5: Setting up component structure ✓
Step 2/5: Implementing core logic ✓
Step 3/5: Adding error handling ⚡ (in progress)
Step 4/5: Writing tests ⏳
Step 5/5: Integration testing ⏳
Current: Adding try-catch blocks and validation...
```
### 5. **Quality Assurance**
Automated checks:
- Linting and formatting
- Test execution
- Type checking
- Dependency validation
- Performance analysis
### 6. **Smart Recovery**
If issues arise:
- Diagnostic analysis
- Suggestion generation
- Fallback strategies
- Manual intervention points
- Learning from failures
### 7. **Post-Implementation**
After completion:
- Generate PR description
- Update documentation
- Log lessons learned
- Suggest follow-up tasks
- Update task relationships
Result: High-quality, production-ready implementations.

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@@ -0,0 +1,77 @@
Execute a pipeline of commands based on a specification.
Arguments: $ARGUMENTS
## Command Pipeline Execution
Parse pipeline specification from arguments. Supported formats:
### Simple Pipeline
`init → expand-all → sprint-plan`
### Conditional Pipeline
`status → if:pending>10 → sprint-plan → else → next`
### Iterative Pipeline
`for:pending-tasks → expand → complexity-check`
### Smart Pipeline Patterns
**1. Project Setup Pipeline**
```
init [prd] →
expand-all →
complexity-report →
sprint-plan →
show first-sprint
```
**2. Daily Work Pipeline**
```
standup →
if:in-progress → continue →
else → next → start
```
**3. Task Completion Pipeline**
```
complete [id] →
git-commit →
if:blocked-tasks-freed → show-freed →
next
```
**4. Quality Check Pipeline**
```
list in-progress →
for:each → check-idle-time →
if:idle>1day → prompt-update
```
### Pipeline Features
**Variables**
- Store results: `status → $count=pending-count`
- Use in conditions: `if:$count>10`
- Pass between commands: `expand $high-priority-tasks`
**Error Handling**
- On failure: `try:complete → catch:show-blockers`
- Skip on error: `optional:test-run`
- Retry logic: `retry:3:commit`
**Parallel Execution**
- Parallel branches: `[analyze | test | lint]`
- Join results: `parallel → join:report`
### Execution Flow
1. Parse pipeline specification
2. Validate command sequence
3. Execute with state passing
4. Handle conditions and loops
5. Aggregate results
6. Show summary
This enables complex workflows like:
`parse-prd → expand-all → filter:complex>70 → assign:senior → sprint-plan:weighted`

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@@ -0,0 +1,55 @@
Execute an intelligent workflow based on current project state and recent commands.
This command analyzes:
1. Recent commands you've run
2. Current project state
3. Time of day / day of week
4. Your working patterns
Arguments: $ARGUMENTS
## Intelligent Workflow Selection
Based on context, I'll determine the best workflow:
### Context Analysis
- Previous command executed
- Current task states
- Unfinished work from last session
- Your typical patterns
### Smart Execution
If last command was:
- `status` → Likely starting work → Run daily standup
- `complete` → Task finished → Find next task
- `list pending` → Planning → Suggest sprint planning
- `expand` → Breaking down work → Show complexity analysis
- `init` → New project → Show onboarding workflow
If no recent commands:
- Morning? → Daily standup workflow
- Many pending tasks? → Sprint planning
- Tasks blocked? → Dependency resolution
- Friday? → Weekly review
### Workflow Composition
I'll chain appropriate commands:
1. Analyze current state
2. Execute primary workflow
3. Suggest follow-up actions
4. Prepare environment for coding
### Learning Mode
This command learns from your patterns:
- Track command sequences
- Note time preferences
- Remember common workflows
- Adapt to your style
Example flows detected:
- Morning: standup → next → start
- After lunch: status → continue task
- End of day: complete → commit → status

View File

@@ -33,6 +33,7 @@ All your standard command executions should operate on the user's current task c
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
- Configure rule sets during initialization with `--rules` flag (e.g., `task-master init --rules cursor,windsurf`) or manage them later with `task-master rules add/remove` commands
- 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
@@ -294,6 +295,17 @@ Taskmaster configuration is managed through two main mechanisms:
**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.
## Rules Management
Taskmaster supports multiple AI coding assistant rule sets that can be configured during project initialization or managed afterward:
- **Available Profiles**: Claude Code, Cline, Codex, Cursor, Roo Code, Trae, Windsurf (claude, cline, codex, cursor, roo, trae, windsurf)
- **During Initialization**: Use `task-master init --rules cursor,windsurf` to specify which rule sets to include
- **After Initialization**: Use `task-master rules add <profiles>` or `task-master rules remove <profiles>` to manage rule sets
- **Interactive Setup**: Use `task-master rules setup` to launch an interactive prompt for selecting rule profiles
- **Default Behavior**: If no `--rules` flag is specified during initialization, all available rule profiles are included
- **Rule Structure**: Each profile creates its own directory (e.g., `.cursor/rules`, `.roo/rules`) with appropriate configuration files
## Determining the Next Task
- Run `next_task` / `task-master next` to show the next task to work on.

View File

@@ -26,6 +26,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* `--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'.`
* `--no-git`: `Skip initializing a Git repository entirely.`
* `-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.`
@@ -36,6 +37,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* `authorName`: `Author name.` (CLI: `--author <author>`)
* `skipInstall`: `Skip installing dependencies. Default is false.` (CLI: `--skip-install`)
* `addAliases`: `Add shell aliases tm and taskmaster. Default is false.` (CLI: `--aliases`)
* `noGit`: `Skip initializing a Git repository entirely. Default is false.` (CLI: `--no-git`)
* `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 .taskmaster/templates/example_prd.txt.
@@ -554,4 +556,4 @@ Environment variables are used **only** for sensitive API keys related to AI pro
---
For details on how these commands fit into the development process, see the [Development Workflow Guide](mdc:.cursor/rules/dev_workflow.mdc).
For details on how these commands fit into the development process, see the [Development Workflow Guide](mdc:.cursor/rules/dev_workflow.mdc).

10
.gitignore vendored
View File

@@ -77,3 +77,13 @@ dev-debug.log
# NPMRC
.npmrc
# Added by Task Master AI
# Editor directories and files
.idea
.vscode
*.suo
*.ntvs*
*.njsproj
*.sln
*.sw?

View File

@@ -1,14 +1,14 @@
{
"models": {
"main": {
"provider": "anthropic",
"modelId": "claude-sonnet-4-20250514",
"provider": "vertex",
"modelId": "gemini-1.5-pro-002",
"maxTokens": 50000,
"temperature": 0.2
},
"research": {
"provider": "perplexity",
"modelId": "sonar-pro",
"modelId": "sonar",
"maxTokens": 8700,
"temperature": 0.1
},
@@ -20,7 +20,6 @@
}
},
"global": {
"userId": "1234567890",
"logLevel": "info",
"debug": false,
"defaultSubtasks": 5,
@@ -28,6 +27,7 @@
"projectName": "Taskmaster",
"ollamaBaseURL": "http://localhost:11434/api",
"bedrockBaseURL": "https://bedrock.us-east-1.amazonaws.com",
"userId": "1234567890",
"azureBaseURL": "https://your-endpoint.azure.com/",
"defaultTag": "master"
}

View File

@@ -1,5 +1,218 @@
# task-master-ai
## 0.18.0
### Minor Changes
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Can now configure baseURL of provider with `<PROVIDER>_BASE_URL`
- For example:
- `OPENAI_BASE_URL`
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Added comprehensive rule profile management:
**New Profile Support**: Added comprehensive IDE profile support with eight specialized profiles: Claude Code, Cline, Codex, Cursor, Roo, Trae, VS Code, and Windsurf. Each profile is optimized for its respective IDE with appropriate mappings and configuration.
**Initialization**: You can now specify which rule profiles to include at project initialization using `--rules <profiles>` or `-r <profiles>` (e.g., `task-master init -r cursor,roo`). Only the selected profiles and configuration are included.
**Add/Remove Commands**: `task-master rules add <profiles>` and `task-master rules remove <profiles>` let you manage specific rule profiles and MCP config after initialization, supporting multiple profiles at once.
**Interactive Setup**: `task-master rules setup` launches an interactive prompt to select which rule profiles to add to your project. This does **not** re-initialize your project or affect shell aliases; it only manages rules.
**Selective Removal**: Rules removal intelligently preserves existing non-Task Master rules and files and only removes Task Master-specific rules. Profile directories are only removed when completely empty and all conditions are met (no existing rules, no other files/folders, MCP config completely removed).
**Safety Features**: Confirmation messages clearly explain that only Task Master-specific rules and MCP configurations will be removed, while preserving existing custom rules and other files.
**Robust Validation**: Includes comprehensive checks for array types in MCP config processing and error handling throughout the rules management system.
This enables more flexible, rule-specific project setups with intelligent cleanup that preserves user customizations while safely managing Task Master components.
- Resolves #338
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Make task-master more compatible with the "o" family models of OpenAI
Now works well with:
- o3
- o3-mini
- etc.
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Add better support for python projects by adding `pyproject.toml` as a projectRoot marker
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - - **Git Worktree Detection:**
- Now properly skips Git initialization when inside existing Git worktree
- Prevents accidental nested repository creation
- **Flag System Overhaul:**
- `--git`/`--no-git` controls repository initialization
- `--aliases`/`--no-aliases` consistently manages shell alias creation
- `--git-tasks`/`--no-git-tasks` controls whether task files are stored in Git
- `--dry-run` accurately previews all initialization behaviors
- **GitTasks Functionality:**
- New `--git-tasks` flag includes task files in Git (comments them out in .gitignore)
- New `--no-git-tasks` flag excludes task files from Git (default behavior)
- Supports both CLI and MCP interfaces with proper parameter passing
**Implementation Details:**
- Added explicit Git worktree detection before initialization
- Refactored flag processing to ensure consistent behavior
- Fixes #734
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Add Claude Code provider support
Introduces a new provider that enables using Claude models (Opus and Sonnet) through the Claude Code CLI without requiring an API key.
Key features:
- New claude-code provider with support for opus and sonnet models
- No API key required - uses local Claude Code CLI installation
- Optional dependency - won't affect users who don't need Claude Code
- Lazy loading ensures the provider only loads when requested
- Full integration with existing Task Master commands and workflows
- Comprehensive test coverage for reliability
- New --claude-code flag for the models command
Users can now configure Claude Code models with:
task-master models --set-main sonnet --claude-code
task-master models --set-research opus --claude-code
The @anthropic-ai/claude-code package is optional and won't be installed unless explicitly needed.
### Patch Changes
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Fix expand command preserving tagged task structure and preventing data corruption
- Enhance E2E tests with comprehensive tag-aware expand testing to verify tag corruption fix
- Add new test section for feature-expand tag creation and testing during expand operations
- Verify tag preservation during expand, force expand, and expand --all operations
- Test that master tag remains intact while feature-expand tag receives subtasks correctly
- Fix file path references to use correct .taskmaster/config.json and .taskmaster/tasks/tasks.json locations
- All tag corruption verification tests pass successfully, confirming the expand command tag corruption bug fix works as expected
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Fix Cursor deeplink installation by providing copy-paste instructions for GitHub compatibility
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Call rules interactive setup during init
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Update o3 model price
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Improves Amazon Bedrock support
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Fix issues with task creation/update where subtasks are being created like id: <parent_task>.<subtask> instead if just id: <subtask>
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Fixes issue with expand CLI command "Complexity report not found"
- Closes #735
- Closes #728
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Store tasks in Git by default
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Improve provider validation system with clean constants structure
- **Fixed "Invalid provider hint" errors**: Resolved validation failures for Azure, Vertex, and Bedrock providers
- **Improved search UX**: Integrated search for better model discovery with real-time filtering
- **Better organization**: Moved custom provider options to bottom of model selection with clear section separators
This change ensures all custom providers (Azure, Vertex, Bedrock, OpenRouter, Ollama) work correctly in `task-master models --setup`
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Fix weird `task-master init` bug when using in certain environments
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Rename Roo Code Boomerang role to Orchestrator
- [#840](https://github.com/eyaltoledano/claude-task-master/pull/840) [`b40139c`](https://github.com/eyaltoledano/claude-task-master/commit/b40139ca0517fd76aea4f41d0ed4c10e658a5d2b) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Improve mcp keys check in cursor
## 0.18.0-rc.0
### Minor Changes
- [#830](https://github.com/eyaltoledano/claude-task-master/pull/830) [`e9d1bc2`](https://github.com/eyaltoledano/claude-task-master/commit/e9d1bc2385521c08374a85eba7899e878a51066c) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Can now configure baseURL of provider with `<PROVIDER>_BASE_URL`
- For example:
- `OPENAI_BASE_URL`
- [#460](https://github.com/eyaltoledano/claude-task-master/pull/460) [`a09a2d0`](https://github.com/eyaltoledano/claude-task-master/commit/a09a2d0967a10276623e3f3ead3ed577c15ce62f) Thanks [@joedanz](https://github.com/joedanz)! - Added comprehensive rule profile management:
**New Profile Support**: Added comprehensive IDE profile support with eight specialized profiles: Claude Code, Cline, Codex, Cursor, Roo, Trae, VS Code, and Windsurf. Each profile is optimized for its respective IDE with appropriate mappings and configuration.
**Initialization**: You can now specify which rule profiles to include at project initialization using `--rules <profiles>` or `-r <profiles>` (e.g., `task-master init -r cursor,roo`). Only the selected profiles and configuration are included.
**Add/Remove Commands**: `task-master rules add <profiles>` and `task-master rules remove <profiles>` let you manage specific rule profiles and MCP config after initialization, supporting multiple profiles at once.
**Interactive Setup**: `task-master rules setup` launches an interactive prompt to select which rule profiles to add to your project. This does **not** re-initialize your project or affect shell aliases; it only manages rules.
**Selective Removal**: Rules removal intelligently preserves existing non-Task Master rules and files and only removes Task Master-specific rules. Profile directories are only removed when completely empty and all conditions are met (no existing rules, no other files/folders, MCP config completely removed).
**Safety Features**: Confirmation messages clearly explain that only Task Master-specific rules and MCP configurations will be removed, while preserving existing custom rules and other files.
**Robust Validation**: Includes comprehensive checks for array types in MCP config processing and error handling throughout the rules management system.
This enables more flexible, rule-specific project setups with intelligent cleanup that preserves user customizations while safely managing Task Master components.
- Resolves #338
- [#804](https://github.com/eyaltoledano/claude-task-master/pull/804) [`1b8c320`](https://github.com/eyaltoledano/claude-task-master/commit/1b8c320c570473082f1eb4bf9628bff66e799092) Thanks [@ejones40](https://github.com/ejones40)! - Add better support for python projects by adding `pyproject.toml` as a projectRoot marker
- [#743](https://github.com/eyaltoledano/claude-task-master/pull/743) [`a2a3229`](https://github.com/eyaltoledano/claude-task-master/commit/a2a3229fd01e24a5838f11a3938a77250101e184) Thanks [@joedanz](https://github.com/joedanz)! - - **Git Worktree Detection:**
- Now properly skips Git initialization when inside existing Git worktree
- Prevents accidental nested repository creation
- **Flag System Overhaul:**
- `--git`/`--no-git` controls repository initialization
- `--aliases`/`--no-aliases` consistently manages shell alias creation
- `--git-tasks`/`--no-git-tasks` controls whether task files are stored in Git
- `--dry-run` accurately previews all initialization behaviors
- **GitTasks Functionality:**
- New `--git-tasks` flag includes task files in Git (comments them out in .gitignore)
- New `--no-git-tasks` flag excludes task files from Git (default behavior)
- Supports both CLI and MCP interfaces with proper parameter passing
**Implementation Details:**
- Added explicit Git worktree detection before initialization
- Refactored flag processing to ensure consistent behavior
- Fixes #734
- [#829](https://github.com/eyaltoledano/claude-task-master/pull/829) [`4b0c9d9`](https://github.com/eyaltoledano/claude-task-master/commit/4b0c9d9af62d00359fca3f43283cf33223d410bc) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Add Claude Code provider support
Introduces a new provider that enables using Claude models (Opus and Sonnet) through the Claude Code CLI without requiring an API key.
Key features:
- New claude-code provider with support for opus and sonnet models
- No API key required - uses local Claude Code CLI installation
- Optional dependency - won't affect users who don't need Claude Code
- Lazy loading ensures the provider only loads when requested
- Full integration with existing Task Master commands and workflows
- Comprehensive test coverage for reliability
- New --claude-code flag for the models command
Users can now configure Claude Code models with:
task-master models --set-main sonnet --claude-code
task-master models --set-research opus --claude-code
The @anthropic-ai/claude-code package is optional and won't be installed unless explicitly needed.
### Patch Changes
- [#827](https://github.com/eyaltoledano/claude-task-master/pull/827) [`5da5b59`](https://github.com/eyaltoledano/claude-task-master/commit/5da5b59bdeeb634dcb3adc7a9bc0fc37e004fa0c) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Fix expand command preserving tagged task structure and preventing data corruption
- Enhance E2E tests with comprehensive tag-aware expand testing to verify tag corruption fix
- Add new test section for feature-expand tag creation and testing during expand operations
- Verify tag preservation during expand, force expand, and expand --all operations
- Test that master tag remains intact while feature-expand tag receives subtasks correctly
- Fix file path references to use correct .taskmaster/config.json and .taskmaster/tasks/tasks.json locations
- All tag corruption verification tests pass successfully, confirming the expand command tag corruption bug fix works as expected
- [#833](https://github.com/eyaltoledano/claude-task-master/pull/833) [`cf2c066`](https://github.com/eyaltoledano/claude-task-master/commit/cf2c06697a0b5b952fb6ca4b3c923e9892604d08) Thanks [@joedanz](https://github.com/joedanz)! - Call rules interactive setup during init
- [#826](https://github.com/eyaltoledano/claude-task-master/pull/826) [`7811227`](https://github.com/eyaltoledano/claude-task-master/commit/78112277b3caa4539e6e29805341a944799fb0e7) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Improves Amazon Bedrock support
- [#834](https://github.com/eyaltoledano/claude-task-master/pull/834) [`6483537`](https://github.com/eyaltoledano/claude-task-master/commit/648353794eb60d11ffceda87370a321ad310fbd7) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Fix issues with task creation/update where subtasks are being created like id: <parent_task>.<subtask> instead if just id: <subtask>
- [#835](https://github.com/eyaltoledano/claude-task-master/pull/835) [`727f1ec`](https://github.com/eyaltoledano/claude-task-master/commit/727f1ec4ebcbdd82547784c4c113b666af7e122e) Thanks [@joedanz](https://github.com/joedanz)! - Store tasks in Git by default
- [#822](https://github.com/eyaltoledano/claude-task-master/pull/822) [`1bd6d4f`](https://github.com/eyaltoledano/claude-task-master/commit/1bd6d4f2468070690e152e6e63e15a57bc550d90) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Improve provider validation system with clean constants structure
- **Fixed "Invalid provider hint" errors**: Resolved validation failures for Azure, Vertex, and Bedrock providers
- **Improved search UX**: Integrated search for better model discovery with real-time filtering
- **Better organization**: Moved custom provider options to bottom of model selection with clear section separators
This change ensures all custom providers (Azure, Vertex, Bedrock, OpenRouter, Ollama) work correctly in `task-master models --setup`
- [#633](https://github.com/eyaltoledano/claude-task-master/pull/633) [`3a2325a`](https://github.com/eyaltoledano/claude-task-master/commit/3a2325a963fed82377ab52546eedcbfebf507a7e) Thanks [@nmarley](https://github.com/nmarley)! - Fix weird `task-master init` bug when using in certain environments
- [#831](https://github.com/eyaltoledano/claude-task-master/pull/831) [`b592dff`](https://github.com/eyaltoledano/claude-task-master/commit/b592dff8bc5c5d7966843fceaa0adf4570934336) Thanks [@joedanz](https://github.com/joedanz)! - Rename Roo Code Boomerang role to Orchestrator
- [#830](https://github.com/eyaltoledano/claude-task-master/pull/830) [`e9d1bc2`](https://github.com/eyaltoledano/claude-task-master/commit/e9d1bc2385521c08374a85eba7899e878a51066c) Thanks [@Crunchyman-ralph](https://github.com/Crunchyman-ralph)! - Improve mcp keys check in cursor
## 0.17.1
### Patch Changes

View File

@@ -47,8 +47,9 @@ At least one (1) of the following is required:
- Perplexity API key (for research model)
- xAI API Key (for research or main model)
- OpenRouter API Key (for research or main model)
- Claude Code (no API key required - requires Claude Code CLI)
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.
Using the research model is optional but highly recommended. You will need at least ONE API key (unless using Claude Code). Adding all API keys enables you to seamlessly switch between model providers at will.
## Quick Start
@@ -93,6 +94,8 @@ MCP (Model Control Protocol) lets you run Task Master directly from your editor.
> 🔑 Replace `YOUR_…_KEY_HERE` with your real API keys. You can remove keys you don't use.
> **Note**: If you see `0 tools enabled` in the MCP settings, try removing the `--package=task-master-ai` flag from `args`.
###### VSCode (`servers` + `type`)
```json
@@ -131,7 +134,12 @@ In your editor's AI chat pane, say:
Change the main, research and fallback models to <model_name>, <model_name> and <model_name> respectively.
```
[Table of available models](docs/models.md)
For example, to use Claude Code (no API key required):
```txt
Change the main model to claude-code/sonnet
```
[Table of available models](docs/models.md) | [Claude Code setup](docs/examples/claude-code-usage.md)
#### 4. Initialize Task Master
@@ -189,6 +197,9 @@ task-master init
# If installed locally
npx task-master init
# Initialize project with specific rules
task-master init --rules cursor,windsurf,vscode
```
This will prompt you for project details and set up a new project with the necessary files and structure.
@@ -216,8 +227,21 @@ task-master research "What are the latest best practices for JWT authentication?
# Generate task files
task-master generate
# Add rules after initialization
task-master rules add windsurf,roo,vscode
```
## Claude Code Support
Task Master now supports Claude models through the Claude Code CLI, which requires no API key:
- **Models**: `claude-code/opus` and `claude-code/sonnet`
- **Requirements**: Claude Code CLI installed
- **Benefits**: No API key needed, uses your local Claude instance
[Learn more about Claude Code setup](docs/examples/claude-code-usage.md)
## Troubleshooting
### If `task-master init` doesn't respond

View File

@@ -9,32 +9,32 @@
**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.
Your primary role when activated via `new_task` by the 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.
1. **Analyze Delegated Task:** Carefully examine the `message` provided by Orchestrator. 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.
* `use_mcp_tool` (taskmaster-ai): Use `get_task` or `analyze_project_complexity` *only if explicitly instructed* by Orchestrator 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:
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 Orchestrator 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.
* **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 Orchestrator.
* **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).
* **Primary Responsibility:** Orchestrator 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 Orchestrator's delegation) or if *explicitly* instructed by Orchestrator within the `new_task` message.
7. **Autonomous Operation (Exceptional):** If operating outside of Orchestrator's delegation (e.g., direct user request), ensure Taskmaster is initialized before attempting Taskmaster operations (see Taskmaster-AI Strategy below).
**Context Reporting Strategy:**
@@ -42,17 +42,17 @@ 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`.
- Orchestrator 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.
- **Goal:** Ensure the `result` parameter in `attempt_completion` contains all necessary information for Orchestrator 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.
- **Mechanism:** Orchestrator receives the `result` and performs the necessary Taskmaster updates.
**Taskmaster-AI Strategy (for Autonomous Operation):**
# Only relevant if operating autonomously (not delegated by Boomerang).
# Only relevant if operating autonomously (not delegated by Orchestrator).
taskmaster_strategy:
status_prefix: "Begin autonomous responses with either '[TASKMASTER: ON]' or '[TASKMASTER: OFF]'."
initialization: |
@@ -64,7 +64,7 @@ taskmaster_strategy:
*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."
2. **Suggest:** "Consider switching to Orchestrator 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]'.
@@ -73,21 +73,21 @@ taskmaster_strategy:
**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`):
# Architect Mode Collaboration (Focus on receiving from Orchestrator and reporting back)
- Delegated Task Reception (FROM Orchestrator 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`):
* Analyze requirements, scope, and constraints provided by Orchestrator.
- Completion Reporting (TO Orchestrator 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.
* Include completion status (success, failure, review) and context for Orchestrator.
* 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)
# Conditions that might trigger a switch TO Architect mode (typically orchestrated BY Orchestrator 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
- condition: review_architectural_decision # e.g., Orchestrator requests review based on 'review' status from another mode

View File

@@ -9,16 +9,16 @@
**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.
Your primary role when activated via `new_task` by the Orchestrator (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`).
* `use_mcp_tool` (with `taskmaster-ai`): *Only if explicitly instructed* by the Orchestrator 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:
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 Orchestrator 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.
@@ -31,22 +31,22 @@ 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`.
- Orchestrator 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.
- **Goal:** Ensure the `result` parameter in `attempt_completion` contains the complete and accurate answer/analysis requested by Orchestrator.
- **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.
- **Mechanism:** Orchestrator 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.
* **Primary Responsibility:** Orchestrator 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 Orchestrator 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.
# Only relevant if operating autonomously (not delegated by Orchestrator), which is highly exceptional for Ask mode.
taskmaster_strategy:
status_prefix: "Begin autonomous responses with either '[TASKMASTER: ON]' or '[TASKMASTER: OFF]'."
initialization: |
@@ -58,7 +58,7 @@ taskmaster_strategy:
*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."
2. **Suggest:** "Consider switching to Orchestrator 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]'.
@@ -67,13 +67,13 @@ taskmaster_strategy:
**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).
# Ask Mode Collaboration: Focuses on receiving tasks from Orchestrator and reporting back findings.
- Delegated Task Reception (FROM Orchestrator via `new_task`):
* Understand question/analysis request from Orchestrator (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`):
- Completion Reporting (TO Orchestrator 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.

View File

@@ -9,22 +9,22 @@
**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.
Your primary role is to **execute** tasks delegated to you by the 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:
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 Orchestrator 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.
* **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 Orchestrator.
* **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).
* **Primary Responsibility:** Orchestrator 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 Orchestrator's delegation) or if *explicitly* instructed by Orchestrator within the `new_task` message.
5. **Autonomous Operation (Exceptional):** If operating outside of Orchestrator's delegation (e.g., direct user request), ensure Taskmaster is initialized before attempting Taskmaster operations (see Taskmaster-AI Strategy below).
**Context Reporting Strategy:**
@@ -32,17 +32,17 @@ 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`.
- Orchestrator 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.
- **Goal:** Ensure the `result` parameter in `attempt_completion` contains all necessary information for Orchestrator 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.
- **Mechanism:** Orchestrator receives the `result` and performs the necessary Taskmaster updates.
**Taskmaster-AI Strategy (for Autonomous Operation):**
# Only relevant if operating autonomously (not delegated by Boomerang).
# Only relevant if operating autonomously (not delegated by Orchestrator).
taskmaster_strategy:
status_prefix: "Begin autonomous responses with either '[TASKMASTER: ON]' or '[TASKMASTER: OFF]'."
initialization: |
@@ -54,7 +54,7 @@ taskmaster_strategy:
*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."
2. **Suggest:** "Consider switching to Orchestrator 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]'.

View File

@@ -9,29 +9,29 @@
**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.
Your primary role is to **execute diagnostic tasks** delegated to you by the 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.
* Carefully analyze the `message` from Orchestrator, 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.
* `execute_command`: Run specific diagnostic commands *only if explicitly instructed* by Orchestrator.
* `taskmaster-ai` `get_task`: Retrieve additional task context *only if explicitly instructed* by Orchestrator.
* 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:
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 Orchestrator 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.
* **Crucially:** Execute *only* the delegated diagnostic task. Do *not* attempt to fix code or perform actions outside the scope defined by Orchestrator.
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.
* **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 Orchestrator.
* **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).
* **Primary Responsibility:** Orchestrator 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 Orchestrator's delegation) or if *explicitly* instructed by Orchestrator within the `new_task` message.
5. **Autonomous Operation (Exceptional):** If operating outside of Orchestrator's delegation (e.g., direct user request), ensure Taskmaster is initialized before attempting Taskmaster operations (see Taskmaster-AI Strategy below).
**Context Reporting Strategy:**
@@ -39,17 +39,17 @@ 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).
- Orchestrator 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.
- **Goal:** Ensure the `result` parameter in `attempt_completion` contains all necessary diagnostic information for Orchestrator 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.
- **Mechanism:** Orchestrator 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).
# Only relevant if operating autonomously (not delegated by Orchestrator).
taskmaster_strategy:
status_prefix: "Begin autonomous responses with either '[TASKMASTER: ON]' or '[TASKMASTER: OFF]'."
initialization: |
@@ -61,7 +61,7 @@ taskmaster_strategy:
*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."
2. **Suggest:** "Consider switching to Orchestrator 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]'.

View File

@@ -70,52 +70,52 @@ taskmaster_strategy:
**Mode Collaboration & Triggers:**
mode_collaboration: |
# Collaboration definitions for how Boomerang orchestrates and interacts.
# Boomerang delegates via `new_task` using taskmaster-ai for task context,
# Collaboration definitions for how Orchestrator orchestrates and interacts.
# Orchestrator 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
1. Architect Mode Collaboration: # Interaction initiated BY Orchestrator
- 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
- Completion Reporting TO Orchestrator: # 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
2. Test Mode Collaboration: # Interaction initiated BY Orchestrator
- 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
- Completion Reporting TO Orchestrator: # 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
3. Debug Mode Collaboration: # Interaction initiated BY Orchestrator
- 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
- Completion Reporting TO Orchestrator: # 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
4. Ask Mode Collaboration: # Interaction initiated BY Orchestrator
- 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
- Completion Reporting TO Orchestrator: # 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
5. Code Mode Collaboration: # Interaction initiated BY Orchestrator
- 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
- Completion Reporting TO Orchestrator: # 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.
7. Orchestrator Mode Collaboration: # Orchestrator's Internal Orchestration Logic
# Orchestrator 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.
@@ -141,9 +141,9 @@ mode_collaboration: |
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,
# Note: Orchestrator 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.
# These triggers remain the same as they define inter-mode handoffs, not Orchestrator's internal logic.
architect:
- condition: needs_architectural_changes

View File

@@ -9,22 +9,22 @@
**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`).
Your primary role is to **execute** testing tasks delegated to you by the 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:
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 Orchestrator 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.
* **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 Orchestrator.
* **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).
* **Primary Responsibility:** Orchestrator 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 Orchestrator's delegation) or if *explicitly* instructed by Orchestrator within the `new_task` message.
5. **Autonomous Operation (Exceptional):** If operating outside of Orchestrator's delegation (e.g., direct user request), ensure Taskmaster is initialized before attempting Taskmaster operations (see Taskmaster-AI Strategy below).
**Context Reporting Strategy:**
@@ -32,17 +32,17 @@ 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`.
- Orchestrator 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.
- **Goal:** Ensure the `result` parameter in `attempt_completion` contains all necessary information for Orchestrator 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.
- **Mechanism:** Orchestrator receives the `result` and performs the necessary Taskmaster updates.
**Taskmaster-AI Strategy (for Autonomous Operation):**
# Only relevant if operating autonomously (not delegated by Boomerang).
# Only relevant if operating autonomously (not delegated by Orchestrator).
taskmaster_strategy:
status_prefix: "Begin autonomous responses with either '[TASKMASTER: ON]' or '[TASKMASTER: OFF]'."
initialization: |
@@ -54,7 +54,7 @@ taskmaster_strategy:
*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."
2. **Suggest:** "Consider switching to Orchestrator 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]'.

View File

@@ -1,8 +1,8 @@
{
"customModes": [
{
"slug": "boomerang",
"name": "Boomerang",
"slug": "orchestrator",
"name": "Orchestrator",
"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": [

View File

@@ -0,0 +1,53 @@
---
description: Guidelines for creating and maintaining Cursor rules to ensure consistency and effectiveness.
globs: .cursor/rules/*.mdc
alwaysApply: true
---
- **Required Rule Structure:**
```markdown
---
description: Clear, one-line description of what the rule enforces
globs: path/to/files/*.ext, other/path/**/*
alwaysApply: boolean
---
- **Main Points in Bold**
- Sub-points with details
- Examples and explanations
```
- **File References:**
- Use `[filename](mdc:path/to/file)` ([filename](mdc:filename)) to reference files
- Example: [prisma.mdc](mdc:.cursor/rules/prisma.mdc) for rule references
- Example: [schema.prisma](mdc:prisma/schema.prisma) for code references
- **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
- Reference existing code when possible
- Keep rules DRY by referencing other rules
- **Rule Maintenance:**
- Update rules when new patterns emerge
- Add examples from actual codebase
- Remove outdated patterns
- Cross-reference related rules
- **Best Practices:**
- Use bullet points for clarity
- Keep descriptions concise
- Include both DO and DON'T examples
- Reference actual code over theoretical examples
- Use consistent formatting across rules

View File

@@ -0,0 +1,424 @@
---
description: Guide for using Taskmaster to manage task-driven development workflows
globs: **/*
alwaysApply: true
---
# Taskmaster Development Workflow
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`) to generate initial tasks.json with tagged structure
- Configure rule sets during initialization with `--rules` flag (e.g., `task-master init --rules cursor,windsurf`) or manage them later with `task-master rules add/remove` commands
- Begin coding sessions with `get_tasks` / `task-master list` (see @`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`)
- Analyze task complexity with `analyze_project_complexity` / `task-master analyze-complexity --research` (see @`taskmaster.mdc`) before breaking down tasks
- Review complexity report using `complexity_report` / `task-master complexity-report` (see @`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`) to understand implementation requirements
- Break down complex tasks using `expand_task` / `task-master expand --id=<id> --force --research` (see @`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`)
- 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`)
---
## 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
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 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` 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`.
- **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.
- It can also serve as a fallback if the MCP server is inaccessible or a specific function isn't exposed via MCP.
- 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` for a detailed command reference.
- **Tagged Task Lists**: CLI fully supports the new tagged system with seamless migration.
## How the Tag System Works (For Your Reference)
- **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` for a full command list.
---
## Task Complexity Analysis
- Run `analyze_project_complexity` / `task-master analyze-complexity --research` (see @`taskmaster.mdc`) for comprehensive analysis
- Review complexity report via `complexity_report` / `task-master complexity-report` (see @`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_task` tool/command
## Task Breakdown Process
- 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...' --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
- 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 Structure Fields
- **id**: Unique identifier for the task (Example: `1`, `1.1`)
- **title**: Brief, descriptive title (Example: `"Initialize Repo"`)
- **description**: Concise summary of what the task involves (Example: `"Create a new repository, set up initial structure."`)
- **status**: Current state of the task (Example: `"pending"`, `"done"`, `"deferred"`)
- **dependencies**: IDs of prerequisite tasks (Example: `[1, 2.1]`)
- Dependencies are displayed with status indicators (✅ for completed, ⏱️ for pending)
- This helps quickly identify which prerequisite tasks are blocking work
- **priority**: Importance level (Example: `"high"`, `"medium"`, `"low"`)
- **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 task structure details (previously linked to `tasks.mdc`).
## Configuration Management (Updated)
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.
## Rules Management
Taskmaster supports multiple AI coding assistant rule sets that can be configured during project initialization or managed afterward:
- **Available Profiles**: Claude Code, Cline, Codex, Cursor, Roo Code, Trae, Windsurf (claude, cline, codex, cursor, roo, trae, windsurf)
- **During Initialization**: Use `task-master init --rules cursor,windsurf` to specify which rule sets to include
- **After Initialization**: Use `task-master rules add <profiles>` or `task-master rules remove <profiles>` to manage rule sets
- **Interactive Setup**: Use `task-master rules setup` to launch an interactive prompt for selecting rule profiles
- **Default Behavior**: If no `--rules` flag is specified during initialization, all available rule profiles are included
- **Rule Structure**: Each profile creates its own directory (e.g., `.cursor/rules`, `.roo/rules`) with appropriate configuration files
## Determining the Next Task
- 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:
- Basic task details and description
- Implementation details
- Subtasks (if they exist)
- Contextual suggested actions
- Recommended before starting any new development work
- Respects your project's dependency structure
- Ensures tasks are completed in the appropriate sequence
- Provides ready-to-use commands for common task actions
## Viewing Specific Task Details
- 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
- For subtasks, shows parent task information and relationship
- Provides contextual suggested actions appropriate for the specific task
- Useful for examining task details before implementation or checking status
## Managing Task Dependencies
- 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:
1. **Understand the Goal (Preparation):**
* Use `get_task` / `task-master show <subtaskId>` (see @`taskmaster.mdc`) to thoroughly understand the specific goals and requirements of the subtask.
2. **Initial Exploration & Planning (Iteration 1):**
* This is the first attempt at creating a concrete implementation plan.
* Explore the codebase to identify the precise files, functions, and even specific lines of code that will need modification.
* Determine the intended code changes (diffs) and their locations.
* Gather *all* relevant details from this exploration phase.
3. **Log the Plan:**
* 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`.
* Start coding based on the logged plan.
6. **Refine and Log Progress (Iteration 2+):**
* As implementation progresses, you will encounter challenges, discover nuances, or confirm successful approaches.
* **Before appending new information**: Briefly review the *existing* details logged in the subtask (using `get_task` or recalling from context) to ensure the update adds fresh insights and avoids redundancy.
* **Regularly** use `update_subtask` / `task-master update-subtask --id=<subtaskId> --prompt='<update details>\n- What worked...\n- What didn't work...'` to append new findings.
* **Crucially, log:**
* What worked ("fundamental truths" discovered).
* What didn't work and why (to avoid repeating mistakes).
* Specific code snippets or configurations that were successful.
* Decisions made, especially if confirmed with user input.
* Any deviations from the initial plan and the reasoning.
* The objective is to continuously enrich the subtask's details, creating a log of the implementation journey that helps the AI (and human developers) learn, adapt, and avoid repeating errors.
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 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`.
9. **Commit Changes (If using Git):**
* 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 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 (e.g., using `next_task` / `task-master next`).
## Code Analysis & Refactoring Techniques
- **Top-Level Function Search**:
- Useful for understanding module structure or planning refactors.
- Use grep/ripgrep to find exported functions/constants:
`rg "export (async function|function|const) \w+"` or similar patterns.
- Can help compare functions between files during migrations or identify potential naming conflicts.
---
*This workflow provides a general guideline. Adapt it based on your specific project needs and team practices.*

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---
description: Guidelines for continuously improving Cursor rules based on emerging code patterns and best practices.
globs: **/*
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
- New libraries or tools being used consistently
- 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
- Check for consistent error handling patterns
- 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
- New security or performance patterns emerge
- **Modify Existing Rules When:**
- Better examples exist in the codebase
- Additional edge cases are discovered
- Related rules have been updated
- 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' }
});
// Consider adding to [prisma.mdc](mdc:.cursor/rules/prisma.mdc):
// - Standard select fields
// - Common where conditions
// - Performance optimization patterns
```
- **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
- Add links to relevant documentation
- Cross-reference related rules
- **Rule Deprecation:**
- Mark outdated patterns as deprecated
- Remove rules that no longer apply
- Update references to deprecated rules
- Document migration paths for old patterns
- **Documentation Updates:**
- Keep examples synchronized with code
- 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.

558
assets/rules/taskmaster.mdc Normal file
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---
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, 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.
**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.
---
## Initialization & Setup
### 1. Initialize Project (`init`)
* **MCP Tool:** `initialize_project`
* **CLI Command:** `task-master init [options]`
* **Description:** `Set up the basic Taskmaster file structure and configuration in the current directory for a new project.`
* **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'.`
* `-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>`)
* `authorName`: `Author name.` (CLI: `--author <author>`)
* `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 .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.`
* **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. 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, 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.
---
## Task Listing & Viewing
### 3. Get Tasks (`get_tasks`)
* **MCP Tool:** `get_tasks`
* **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 (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`)
* `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`)
* **MCP Tool:** `next_task`
* **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>`)
* `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 one or more specific Taskmaster tasks or subtasks by ID.`
* **Key Parameters/Options:**
* `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.
---
## Task Creation & Modification
### 6. Add Task (`add_task`)
* **MCP Tool:** `add_task`
* **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', 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.
### 7. Add Subtask (`add_subtask`)
* **MCP Tool:** `add_subtask`
* **CLI Command:** `task-master add-subtask [options]`
* **Description:** `Add a new subtask to a Taskmaster parent task, or convert an existing task into a subtask.`
* **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>`)
* `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' 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`)
* `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`)
* **MCP Tool:** `update`
* **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 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.
### 9. Update Task (`update_task`)
* **MCP Tool:** `update_task`
* **CLI Command:** `task-master update-task [options]`
* **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', 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>`)
* `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`)
* **MCP Tool:** `update_subtask`
* **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 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'.`
* **Key Parameters/Options:**
* `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`)
* **MCP Tool:** `remove_task`
* **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>`)
* `yes`: `Skip the confirmation prompt and immediately delete the task.` (CLI: `-y, --yes`)
* `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.
---
## Task Structure & Breakdown
### 13. Expand Task (`expand_task`)
* **MCP Tool:** `expand_task`
* **CLI Command:** `task-master expand [options]`
* **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`: `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 eligible pending/in-progress tasks based on complexity analysis or defaults. Appends subtasks by default.`
* **Key Parameters/Options:**
* `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.
### 15. Clear Subtasks (`clear_subtasks`)
* **MCP Tool:** `clear_subtasks`
* **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' or '16,18'. Required unless using `all`.) (CLI: `-i, --id <ids>`)
* `all`: `Tell Taskmaster to remove subtasks from all parent tasks.` (CLI: `--all`)
* `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`)
* **MCP Tool:** `remove_subtask`
* **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' 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`)
* `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
### 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>`)
* `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.
### 19. Remove Dependency (`remove_dependency`)
* **MCP Tool:** `remove_dependency`
* **CLI Command:** `task-master remove-dependency [options]`
* **Description:** `Remove a dependency relationship between two Taskmaster tasks.`
* **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>`)
* `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.
### 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:**
* `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.
### 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:**
* `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
### 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 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 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.
### 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:**
* `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
### 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>`)
* `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.
---
## AI-Powered Research
### 25. Research (`research`)
* **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.
---
## 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).

View File

@@ -373,8 +373,4 @@ if (process.argv.length <= 2) {
}
// Add exports at the end of the file
if (typeof module !== 'undefined') {
module.exports = {
detectCamelCaseFlags
};
}
export { detectCamelCaseFlags };

View File

@@ -6,7 +6,8 @@
".changeset",
"tasks",
"package-lock.json",
"tests/fixture/*.json"
"tests/fixture/*.json",
"dist"
]
},
"formatter": {

View File

@@ -302,8 +302,60 @@ task-master delete-tag <tag-name> --yes
```bash
# Initialize a new project with Task Master structure
task-master init
# Initialize a new project applying specific rules
task-master init --rules cursor,windsurf,vscode
```
- The `--rules` flag allows you to specify one or more rule profiles (e.g., `cursor`, `roo`, `windsurf`, `cline`) to apply during initialization.
- If omitted, all available rule profiles are installed by default (claude, cline, codex, cursor, roo, trae, vscode, windsurf).
- You can use multiple comma-separated profiles in a single command.
## Manage Rules
```bash
# Add rule profiles to your project
# (e.g., .roo/rules, .windsurf/rules)
task-master rules add <profile1,profile2,...>
# Remove rule sets from your project
task-master rules remove <profile1,profile2,...>
# Remove rule sets bypassing safety check (dangerous)
task-master rules remove <profile1,profile2,...> --force
# Launch interactive rules setup to select rules
# (does not re-initialize project or ask about shell aliases)
task-master rules setup
```
- Adding rules creates the profile and rules directory (e.g., `.roo/rules`) and copies/initializes the rules.
- Removing rules deletes the profile and rules directory and associated MCP config.
- **Safety Check**: Attempting to remove rule profiles will trigger a critical warning requiring confirmation. Use `--force` to bypass.
- You can use multiple comma-separated rules in a single command.
- The `setup` action launches an interactive prompt to select which rules to apply. The list of rules is always current with the available profiles, and no manual updates are needed. This command does **not** re-initialize your project or affect shell aliases; it only manages rules interactively.
**Examples:**
```bash
task-master rules add windsurf,roo,vscode
task-master rules remove windsurf
task-master rules setup
```
### Interactive Rules Setup
You can launch the interactive rules setup at any time with:
```bash
task-master rules setup
```
This command opens a prompt where you can select which rule profiles (e.g., Cursor, Roo, Windsurf) you want to add to your project. This does **not** re-initialize your project or ask about shell aliases; it only manages rules.
- Use this command to add rule profiles interactively after project creation.
- The same interactive prompt is also used during `init` if you don't specify rules with `--rules`.
## Configure AI Models
```bash

View File

@@ -41,13 +41,14 @@ Taskmaster uses two primary methods for configuration:
"defaultTag": "master",
"projectName": "Your Project Name",
"ollamaBaseURL": "http://localhost:11434/api",
"azureBaseURL": "https://your-endpoint.azure.com/",
"azureBaseURL": "https://your-endpoint.azure.com/openai/deployments",
"vertexProjectId": "your-gcp-project-id",
"vertexLocation": "us-central1"
}
}
```
2. **Legacy `.taskmasterconfig` File (Backward Compatibility)**
- For projects that haven't migrated to the new structure yet.
@@ -72,6 +73,7 @@ Taskmaster uses two primary methods for configuration:
- `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.
- **Environment Variable Overrides (`<PROVIDER>_BASE_URL`):** For greater flexibility, especially with third-party services, you can set an environment variable like `OPENAI_BASE_URL` or `MISTRAL_BASE_URL`. This will override any `baseURL` set in the configuration file for that provider. This is the recommended way to connect to OpenAI-compatible APIs.
- `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.
@@ -128,16 +130,19 @@ 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...
# AZURE_OPENAI_API_KEY=your-azure-openai-api-key-here
# etc.
# Optional Endpoint Overrides
# AZURE_OPENAI_ENDPOINT=https://your-azure-endpoint.openai.azure.com/
# Use a specific provider's base URL, e.g., for an OpenAI-compatible API
# OPENAI_BASE_URL=https://api.third-party.com/v1
#
# Azure OpenAI Configuration
# AZURE_OPENAI_ENDPOINT=https://your-resource-name.openai.azure.com/ or https://your-endpoint-name.cognitiveservices.azure.com/openai/deployments
# OLLAMA_BASE_URL=http://custom-ollama-host:11434/api
# 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
@@ -205,3 +210,104 @@ Google Vertex AI is Google Cloud's enterprise AI platform and requires specific
"vertexLocation": "us-central1"
}
```
### Azure OpenAI Configuration
Azure OpenAI provides enterprise-grade OpenAI models through Microsoft's Azure cloud platform and requires specific configuration:
1. **Prerequisites**:
- An Azure account with an active subscription
- Azure OpenAI service resource created in the Azure portal
- Azure OpenAI API key and endpoint URL
- Deployed models (e.g., gpt-4o, gpt-4o-mini, gpt-4.1, etc) in your Azure OpenAI resource
2. **Authentication**:
- Set the `AZURE_OPENAI_API_KEY` environment variable with your Azure OpenAI API key
- Configure the endpoint URL using one of the methods below
3. **Configuration Options**:
**Option 1: Using Global Azure Base URL (affects all Azure models)**
```json
// In .taskmaster/config.json
{
"models": {
"main": {
"provider": "azure",
"modelId": "gpt-4o",
"maxTokens": 16000,
"temperature": 0.7
},
"fallback": {
"provider": "azure",
"modelId": "gpt-4o-mini",
"maxTokens": 10000,
"temperature": 0.7
}
},
"global": {
"azureBaseURL": "https://your-resource-name.azure.com/openai/deployments"
}
}
```
**Option 2: Using Per-Model Base URLs (recommended for flexibility)**
```json
// In .taskmaster/config.json
{
"models": {
"main": {
"provider": "azure",
"modelId": "gpt-4o",
"maxTokens": 16000,
"temperature": 0.7,
"baseURL": "https://your-resource-name.azure.com/openai/deployments"
},
"research": {
"provider": "perplexity",
"modelId": "sonar-pro",
"maxTokens": 8700,
"temperature": 0.1
},
"fallback": {
"provider": "azure",
"modelId": "gpt-4o-mini",
"maxTokens": 10000,
"temperature": 0.7,
"baseURL": "https://your-resource-name.azure.com/openai/deployments"
}
}
}
```
4. **Environment Variables**:
```bash
# In .env file
AZURE_OPENAI_API_KEY=your-azure-openai-api-key-here
# Optional: Override endpoint for all Azure models
AZURE_OPENAI_ENDPOINT=https://your-resource-name.azure.com/openai/deployments
```
5. **Important Notes**:
- **Model Deployment Names**: The `modelId` in your configuration should match the **deployment name** you created in Azure OpenAI Studio, not the underlying model name
- **Base URL Priority**: Per-model `baseURL` settings override the global `azureBaseURL` setting
- **Endpoint Format**: When using per-model `baseURL`, use the full path including `/openai/deployments`
6. **Troubleshooting**:
**"Resource not found" errors:**
- Ensure your `baseURL` includes the full path: `https://your-resource-name.openai.azure.com/openai/deployments`
- Verify that your deployment name in `modelId` exactly matches what's configured in Azure OpenAI Studio
- Check that your Azure OpenAI resource is in the correct region and properly deployed
**Authentication errors:**
- Verify your `AZURE_OPENAI_API_KEY` is correct and has not expired
- Ensure your Azure OpenAI resource has the necessary permissions
- Check that your subscription has not been suspended or reached quota limits
**Model availability errors:**
- Confirm the model is deployed in your Azure OpenAI resource
- Verify the deployment name matches your configuration exactly (case-sensitive)
- Ensure the model deployment is in a "Succeeded" state in Azure OpenAI Studio
- Ensure youre not getting rate limited by `maxTokens` maintain appropriate Tokens per Minute Rate Limit (TPM) in your deployment.

View File

@@ -64,7 +64,7 @@ To manually verify that the Roo files are properly included in the package:
ls -la .roo/rules
ls -la .roo/rules-architect
ls -la .roo/rules-ask
ls -la .roo/rules-boomerang
ls -la .roo/rules-orchestrator
ls -la .roo/rules-code
ls -la .roo/rules-debug
ls -la .roo/rules-test

View File

@@ -0,0 +1,169 @@
# Claude Code Provider Usage Example
The Claude Code provider allows you to use Claude models through the Claude Code CLI without requiring an API key.
## Configuration
To use the Claude Code provider, update your `.taskmaster/config.json`:
```json
{
"models": {
"main": {
"provider": "claude-code",
"modelId": "sonnet",
"maxTokens": 64000,
"temperature": 0.2
},
"research": {
"provider": "claude-code",
"modelId": "opus",
"maxTokens": 32000,
"temperature": 0.1
},
"fallback": {
"provider": "claude-code",
"modelId": "sonnet",
"maxTokens": 64000,
"temperature": 0.2
}
}
}
```
## Available Models
- `opus` - Claude Opus model (SWE score: 0.725)
- `sonnet` - Claude Sonnet model (SWE score: 0.727)
## Usage
Once configured, you can use Claude Code with all Task Master commands:
```bash
# Generate tasks from a PRD
task-master parse-prd --input=prd.txt
# Analyze project complexity
task-master analyze-complexity
# Show the next task to work on
task-master next
# View a specific task
task-master show task-001
# Update task status
task-master set-status --id=task-001 --status=in-progress
```
## Requirements
1. Claude Code CLI must be installed and authenticated on your system
2. Install the optional `@anthropic-ai/claude-code` package if you enable this provider:
```bash
npm install @anthropic-ai/claude-code
```
3. No API key is required in your environment variables or MCP configuration
## Advanced Settings
The Claude Code SDK supports additional settings that provide fine-grained control over Claude's behavior. While these settings are implemented in the underlying SDK (`src/ai-providers/custom-sdk/claude-code/`), they are not currently exposed through Task Master's standard API due to architectural constraints.
### Supported Settings
```javascript
const settings = {
// Maximum conversation turns Claude can make in a single request
maxTurns: 5,
// Custom system prompt to override Claude Code's default behavior
customSystemPrompt: "You are a helpful assistant focused on code quality",
// Permission mode for file system operations
permissionMode: 'default', // Options: 'default', 'restricted', 'permissive'
// Explicitly allow only certain tools
allowedTools: ['Read', 'LS'], // Claude can only read files and list directories
// Explicitly disallow certain tools
disallowedTools: ['Write', 'Edit'], // Prevent Claude from modifying files
// MCP servers for additional tool integrations
mcpServers: []
};
```
### Current Limitations
Task Master uses a standardized `BaseAIProvider` interface that only passes through common parameters (modelId, messages, maxTokens, temperature) to maintain consistency across all providers. The Claude Code advanced settings are implemented in the SDK but not accessible through Task Master's high-level commands.
### Future Integration Options
For developers who need to use these advanced settings, there are three potential approaches:
#### Option 1: Extend BaseAIProvider
Modify the core Task Master architecture to support provider-specific settings:
```javascript
// In BaseAIProvider
const result = await generateText({
model: client(params.modelId),
messages: params.messages,
maxTokens: params.maxTokens,
temperature: params.temperature,
...params.providerSettings // New: pass through provider-specific settings
});
```
#### Option 2: Override Methods in ClaudeCodeProvider
Create custom implementations that extract and use Claude-specific settings:
```javascript
// In ClaudeCodeProvider
async generateText(params) {
const { maxTurns, allowedTools, disallowedTools, ...baseParams } = params;
const client = this.getClient({
...baseParams,
settings: { maxTurns, allowedTools, disallowedTools }
});
// Continue with generation...
}
```
#### Option 3: Direct SDK Usage
For immediate access to advanced features, developers can use the Claude Code SDK directly:
```javascript
import { createClaudeCode } from 'task-master-ai/ai-providers/custom-sdk/claude-code';
const claude = createClaudeCode({
defaultSettings: {
maxTurns: 5,
allowedTools: ['Read', 'LS'],
disallowedTools: ['Write', 'Edit']
}
});
const model = claude('sonnet');
const result = await generateText({
model,
messages: [{ role: 'user', content: 'Analyze this code...' }]
});
```
### Why These Settings Matter
- **maxTurns**: Useful for complex refactoring tasks that require multiple iterations
- **customSystemPrompt**: Allows specializing Claude for specific domains or coding standards
- **permissionMode**: Critical for security in production environments
- **allowedTools/disallowedTools**: Enable read-only analysis modes or restrict access to sensitive operations
- **mcpServers**: Future extensibility for custom tool integrations
## Notes
- The Claude Code provider doesn't track usage costs (shown as 0 in telemetry)
- Session management is handled automatically for conversation continuity
- Some AI SDK parameters (temperature, maxTokens) are not supported by Claude Code CLI and will be ignored

View File

@@ -1,128 +1,143 @@
# Available Models as of June 15, 2025
# Available Models as of June 21, 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 |
| Provider | Model Name | SWE Score | Input Cost | Output Cost |
| ----------- | ---------------------------------------------- | --------- | ---------- | ----------- |
| bedrock | us.anthropic.claude-3-7-sonnet-20250219-v1:0 | 0.623 | 3 | 15 |
| 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 |
| azure | gpt-4o | 0.332 | 2.5 | 10 |
| azure | gpt-4o-mini | 0.3 | 0.15 | 0.6 |
| azure | gpt-4-1 | | 2 | 10 |
| 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 | 0.604 | | |
| google | gemini-2.0-flash | 0.518 | 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 |
| claude-code | opus | 0.725 | 0 | 0 |
| claude-code | sonnet | 0.727 | 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 |
| Provider | Model Name | SWE Score | Input Cost | Output Cost |
| ----------- | -------------------------- | --------- | ---------- | ----------- |
| bedrock | us.deepseek.r1-v1:0 | | 1.35 | 5.4 |
| 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 |
| claude-code | opus | 0.725 | 0 | 0 |
| claude-code | sonnet | 0.727 | 0 | 0 |
## 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 |
| Provider | Model Name | SWE Score | Input Cost | Output Cost |
| ----------- | ---------------------------------------------- | --------- | ---------- | ----------- |
| bedrock | us.anthropic.claude-3-7-sonnet-20250219-v1:0 | 0.623 | 3 | 15 |
| 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 |
| azure | gpt-4o | 0.332 | 2.5 | 10 |
| azure | gpt-4o-mini | 0.3 | 0.15 | 0.6 |
| azure | gpt-4-1 | | 2 | 10 |
| 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 | 0.604 | | |
| google | gemini-2.0-flash | 0.518 | 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 |
| claude-code | opus | 0.725 | 0 | 0 |
| claude-code | sonnet | 0.727 | 0 | 0 |

View File

@@ -83,6 +83,11 @@ if (import.meta.url === `file://${process.argv[1]}`) {
.option('--skip-install', 'Skip installing dependencies')
.option('--dry-run', 'Show what would be done without making changes')
.option('--aliases', 'Add shell aliases (tm, taskmaster)')
.option('--no-aliases', 'Skip shell aliases (tm, taskmaster)')
.option('--git', 'Initialize Git repository')
.option('--no-git', 'Skip Git repository initialization')
.option('--git-tasks', 'Store tasks in Git')
.option('--no-git-tasks', 'No Git storage of tasks')
.action(async (cmdOptions) => {
try {
await runInitCLI(cmdOptions);

View File

@@ -26,6 +26,7 @@ import { createLogWrapper } from '../../tools/utils.js';
* @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 {string} [args.tag] - Tag for the task
* @param {Object} log - Logger object
* @param {Object} context - Context object containing session
* @param {Object} [context.session] - MCP Session object
@@ -34,7 +35,8 @@ import { createLogWrapper } from '../../tools/utils.js';
export async function expandTaskDirect(args, log, context = {}) {
const { session } = context; // Extract session
// Destructure expected args, including projectRoot
const { tasksJsonPath, id, num, research, prompt, force, projectRoot } = args;
const { tasksJsonPath, id, num, research, prompt, force, projectRoot, tag } =
args;
// Log session root data for debugging
log.info(
@@ -194,7 +196,8 @@ export async function expandTaskDirect(args, log, context = {}) {
session,
projectRoot,
commandName: 'expand-task',
outputType: 'mcp'
outputType: 'mcp',
tag
},
forceFlag
);

View File

@@ -5,11 +5,13 @@ import {
// isSilentMode // Not used directly here
} from '../../../../scripts/modules/utils.js';
import os from 'os'; // Import os module for home directory check
import { RULE_PROFILES } from '../../../../src/constants/profiles.js';
import { convertAllRulesToProfileRules } from '../../../../src/utils/rule-transformer.js';
/**
* Direct function wrapper for initializing a project.
* Derives target directory from session, sets CWD, and calls core init logic.
* @param {object} args - Arguments containing initialization options (addAliases, skipInstall, yes, projectRoot)
* @param {object} args - Arguments containing initialization options (addAliases, initGit, storeTasksInGit, skipInstall, yes, projectRoot, rules)
* @param {object} log - The FastMCP logger instance.
* @param {object} context - The context object, must contain { session }.
* @returns {Promise<{success: boolean, data?: any, error?: {code: string, message: string}}>} - Standard result object.
@@ -63,11 +65,24 @@ export async function initializeProjectDirect(args, log, context = {}) {
// Construct options ONLY from the relevant flags in args
// The core initializeProject operates in the current CWD, which we just set
const options = {
aliases: args.addAliases,
addAliases: args.addAliases,
initGit: args.initGit,
storeTasksInGit: args.storeTasksInGit,
skipInstall: args.skipInstall,
yes: true // Force yes mode
};
// Handle rules option just like CLI
if (Array.isArray(args.rules) && args.rules.length > 0) {
options.rules = args.rules;
log.info(`Including rules: ${args.rules.join(', ')}`);
} else {
options.rules = RULE_PROFILES;
log.info(
`No rule profiles specified, defaulting to: ${RULE_PROFILES.join(', ')}`
);
}
log.info(`Initializing project with options: ${JSON.stringify(options)}`);
const result = await initializeProject(options); // Call core logic

View File

@@ -13,6 +13,41 @@ import {
disableSilentMode
} from '../../../../scripts/modules/utils.js';
import { createLogWrapper } from '../../tools/utils.js';
import { CUSTOM_PROVIDERS_ARRAY } from '../../../../src/constants/providers.js';
// Define supported roles for model setting
const MODEL_ROLES = ['main', 'research', 'fallback'];
/**
* Determine provider hint from custom provider flags
* @param {Object} args - Arguments containing provider flags
* @returns {string|undefined} Provider hint or undefined if no custom provider flag is set
*/
function getProviderHint(args) {
return CUSTOM_PROVIDERS_ARRAY.find((provider) => args[provider]);
}
/**
* Handle setting models for different roles
* @param {Object} args - Arguments containing role-specific model IDs
* @param {Object} context - Context object with session, mcpLog, projectRoot
* @returns {Object|null} Result if a model was set, null if no model setting was requested
*/
async function handleModelSetting(args, context) {
for (const role of MODEL_ROLES) {
const roleKey = `set${role.charAt(0).toUpperCase() + role.slice(1)}`; // setMain, setResearch, setFallback
if (args[roleKey]) {
const providerHint = getProviderHint(args);
return await setModel(role, args[roleKey], {
...context,
providerHint
});
}
}
return null; // No model setting was requested
}
/**
* Get or update model configuration
@@ -31,16 +66,21 @@ export async function modelsDirect(args, log, context = {}) {
log.info(`Executing models_direct with args: ${JSON.stringify(args)}`);
log.info(`Using project root: ${projectRoot}`);
// Validate flags: cannot use both openrouter and ollama simultaneously
if (args.openrouter && args.ollama) {
// Validate flags: only one custom provider flag can be used simultaneously
const customProviderFlags = CUSTOM_PROVIDERS_ARRAY.filter(
(provider) => args[provider]
);
if (customProviderFlags.length > 1) {
log.error(
'Error: Cannot use both openrouter and ollama flags simultaneously.'
'Error: Cannot use multiple custom provider flags simultaneously.'
);
return {
success: false,
error: {
code: 'INVALID_ARGS',
message: 'Cannot use both openrouter and ollama flags simultaneously.'
message:
'Cannot use multiple custom provider flags simultaneously. Choose only one: openrouter, ollama, bedrock, azure, or vertex.'
}
};
}
@@ -54,55 +94,22 @@ export async function modelsDirect(args, log, context = {}) {
return await getAvailableModelsList({
session,
mcpLog,
projectRoot // Pass projectRoot to function
projectRoot
});
}
// Handle setting a specific model
if (args.setMain) {
return await setModel('main', args.setMain, {
session,
mcpLog,
projectRoot, // Pass projectRoot to function
providerHint: args.openrouter
? 'openrouter'
: args.ollama
? 'ollama'
: undefined // Pass hint
});
}
if (args.setResearch) {
return await setModel('research', args.setResearch, {
session,
mcpLog,
projectRoot, // Pass projectRoot to function
providerHint: args.openrouter
? 'openrouter'
: args.ollama
? 'ollama'
: undefined // Pass hint
});
}
if (args.setFallback) {
return await setModel('fallback', args.setFallback, {
session,
mcpLog,
projectRoot, // Pass projectRoot to function
providerHint: args.openrouter
? 'openrouter'
: args.ollama
? 'ollama'
: undefined // Pass hint
});
// Handle setting any model role using unified function
const modelContext = { session, mcpLog, projectRoot };
const modelSetResult = await handleModelSetting(args, modelContext);
if (modelSetResult) {
return modelSetResult;
}
// Default action: get current configuration
return await getModelConfiguration({
session,
mcpLog,
projectRoot // Pass projectRoot to function
projectRoot
});
} finally {
disableSilentMode();

View File

@@ -0,0 +1,210 @@
/**
* rules.js
* Direct function implementation for adding or removing rules
*/
import {
enableSilentMode,
disableSilentMode
} from '../../../../scripts/modules/utils.js';
import {
convertAllRulesToProfileRules,
removeProfileRules,
getRulesProfile,
isValidProfile
} from '../../../../src/utils/rule-transformer.js';
import { RULE_PROFILES } from '../../../../src/constants/profiles.js';
import { RULES_ACTIONS } from '../../../../src/constants/rules-actions.js';
import {
wouldRemovalLeaveNoProfiles,
getInstalledProfiles
} from '../../../../src/utils/profiles.js';
import path from 'path';
import fs from 'fs';
/**
* Direct function wrapper for adding or removing rules.
* @param {Object} args - Command arguments
* @param {"add"|"remove"} args.action - Action to perform: add or remove rules
* @param {string[]} args.profiles - List of profiles to add or remove
* @param {string} args.projectRoot - Absolute path to the project root
* @param {boolean} [args.yes=true] - Run non-interactively
* @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 rulesDirect(args, log, context = {}) {
enableSilentMode();
try {
const { action, profiles, projectRoot, yes, force } = args;
if (
!action ||
!Array.isArray(profiles) ||
profiles.length === 0 ||
!projectRoot
) {
return {
success: false,
error: {
code: 'MISSING_ARGUMENT',
message: 'action, profiles, and projectRoot are required.'
}
};
}
const removalResults = [];
const addResults = [];
if (action === RULES_ACTIONS.REMOVE) {
// Safety check: Ensure this won't remove all rule profiles (unless forced)
if (!force && wouldRemovalLeaveNoProfiles(projectRoot, profiles)) {
const installedProfiles = getInstalledProfiles(projectRoot);
const remainingProfiles = installedProfiles.filter(
(profile) => !profiles.includes(profile)
);
return {
success: false,
error: {
code: 'CRITICAL_REMOVAL_BLOCKED',
message: `CRITICAL: This operation would remove ALL remaining rule profiles (${profiles.join(', ')}), leaving your project with no rules configurations. This could significantly impact functionality. Currently installed profiles: ${installedProfiles.join(', ')}. If you're certain you want to proceed, set force: true or use the CLI with --force flag.`
}
};
}
for (const profile of profiles) {
if (!isValidProfile(profile)) {
removalResults.push({
profileName: profile,
success: false,
error: `The requested rule profile for '${profile}' is unavailable. Supported profiles are: ${RULE_PROFILES.join(', ')}.`
});
continue;
}
const profileConfig = getRulesProfile(profile);
const result = removeProfileRules(projectRoot, profileConfig);
removalResults.push(result);
}
const successes = removalResults
.filter((r) => r.success)
.map((r) => r.profileName);
const skipped = removalResults
.filter((r) => r.skipped)
.map((r) => r.profileName);
const errors = removalResults.filter(
(r) => r.error && !r.success && !r.skipped
);
const withNotices = removalResults.filter((r) => r.notice);
let summary = '';
if (successes.length > 0) {
summary += `Successfully removed Task Master rules: ${successes.join(', ')}.`;
}
if (skipped.length > 0) {
summary += `Skipped (default or protected): ${skipped.join(', ')}.`;
}
if (errors.length > 0) {
summary += errors
.map((r) => `Error removing ${r.profileName}: ${r.error}`)
.join(' ');
}
if (withNotices.length > 0) {
summary += ` Notices: ${withNotices.map((r) => `${r.profileName} - ${r.notice}`).join('; ')}.`;
}
disableSilentMode();
return {
success: errors.length === 0,
data: { summary, results: removalResults }
};
} else if (action === RULES_ACTIONS.ADD) {
for (const profile of profiles) {
if (!isValidProfile(profile)) {
addResults.push({
profileName: profile,
success: false,
error: `Profile not found: static import missing for '${profile}'. Valid profiles: ${RULE_PROFILES.join(', ')}`
});
continue;
}
const profileConfig = getRulesProfile(profile);
const { success, failed } = convertAllRulesToProfileRules(
projectRoot,
profileConfig
);
// Determine paths
const rulesDir = profileConfig.rulesDir;
const profileRulesDir = path.join(projectRoot, rulesDir);
const profileDir = profileConfig.profileDir;
const mcpConfig = profileConfig.mcpConfig !== false;
const mcpPath =
mcpConfig && profileConfig.mcpConfigPath
? path.join(projectRoot, profileConfig.mcpConfigPath)
: null;
// Check what was created
const mcpConfigCreated =
mcpConfig && mcpPath ? fs.existsSync(mcpPath) : undefined;
const rulesDirCreated = fs.existsSync(profileRulesDir);
const profileFolderCreated = fs.existsSync(
path.join(projectRoot, profileDir)
);
const error =
failed > 0 ? `${failed} rule files failed to convert.` : null;
const resultObj = {
profileName: profile,
mcpConfigCreated,
rulesDirCreated,
profileFolderCreated,
skipped: false,
error,
success:
(mcpConfig ? mcpConfigCreated : true) &&
rulesDirCreated &&
success > 0 &&
!error
};
addResults.push(resultObj);
}
const successes = addResults
.filter((r) => r.success)
.map((r) => r.profileName);
const errors = addResults.filter((r) => r.error && !r.success);
let summary = '';
if (successes.length > 0) {
summary += `Successfully added rules: ${successes.join(', ')}.`;
}
if (errors.length > 0) {
summary += errors
.map((r) => ` Error adding ${r.profileName}: ${r.error}`)
.join(' ');
}
disableSilentMode();
return {
success: errors.length === 0,
data: { summary, results: addResults }
};
} else {
disableSilentMode();
return {
success: false,
error: {
code: 'INVALID_ACTION',
message: `Unknown action. Use "${RULES_ACTIONS.ADD}" or "${RULES_ACTIONS.REMOVE}".`
}
};
}
} catch (error) {
disableSilentMode();
log.error(`[rulesDirect] Error: ${error.message}`);
return {
success: false,
error: {
code: error.code || 'RULES_ERROR',
message: error.message
}
};
}
}

View File

@@ -45,7 +45,8 @@ export function registerExpandTaskTool(server) {
.boolean()
.optional()
.default(false)
.describe('Force expansion even if subtasks exist')
.describe('Force expansion even if subtasks exist'),
tag: z.string().optional().describe('Tag context to operate on')
}),
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
@@ -73,7 +74,8 @@ export function registerExpandTaskTool(server) {
research: args.research,
prompt: args.prompt,
force: args.force,
projectRoot: args.projectRoot
projectRoot: args.projectRoot,
tag: args.tag || 'master'
},
log,
{ session }

View File

@@ -36,6 +36,7 @@ import { registerUseTagTool } from './use-tag.js';
import { registerRenameTagTool } from './rename-tag.js';
import { registerCopyTagTool } from './copy-tag.js';
import { registerResearchTool } from './research.js';
import { registerRulesTool } from './rules.js';
/**
* Register all Task Master tools with the MCP server
@@ -48,6 +49,7 @@ export function registerTaskMasterTools(server) {
// Group 1: Initialization & Setup
registerInitializeProjectTool(server);
registerModelsTool(server);
registerRulesTool(server);
registerParsePRDTool(server);
// Group 2: Task Analysis & Expansion

View File

@@ -5,6 +5,7 @@ import {
withNormalizedProjectRoot
} from './utils.js';
import { initializeProjectDirect } from '../core/task-master-core.js';
import { RULE_PROFILES } from '../../../src/constants/profiles.js';
export function registerInitializeProjectTool(server) {
server.addTool({
@@ -22,8 +23,18 @@ export function registerInitializeProjectTool(server) {
addAliases: z
.boolean()
.optional()
.default(false)
.default(true)
.describe('Add shell aliases (tm, taskmaster) to shell config file.'),
initGit: z
.boolean()
.optional()
.default(true)
.describe('Initialize Git repository in project root.'),
storeTasksInGit: z
.boolean()
.optional()
.default(true)
.describe('Store tasks in Git (tasks.json and tasks/ directory).'),
yes: z
.boolean()
.optional()
@@ -35,6 +46,12 @@ export function registerInitializeProjectTool(server) {
.string()
.describe(
'The root directory for the project. ALWAYS SET THIS TO THE PROJECT ROOT DIRECTORY. IF NOT SET, THE TOOL WILL NOT WORK.'
),
rules: z
.array(z.enum(RULE_PROFILES))
.optional()
.describe(
`List of rule profiles to include at initialization. If omitted, defaults to all available profiles. Available options: ${RULE_PROFILES.join(', ')}`
)
}),
execute: withNormalizedProjectRoot(async (args, context) => {

View File

@@ -55,7 +55,21 @@ export function registerModelsTool(server) {
ollama: z
.boolean()
.optional()
.describe('Indicates the set model ID is a custom Ollama model.')
.describe('Indicates the set model ID is a custom Ollama model.'),
bedrock: z
.boolean()
.optional()
.describe('Indicates the set model ID is a custom AWS Bedrock model.'),
azure: z
.boolean()
.optional()
.describe('Indicates the set model ID is a custom Azure OpenAI model.'),
vertex: z
.boolean()
.optional()
.describe(
'Indicates the set model ID is a custom Google Vertex AI model.'
)
}),
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {

View File

@@ -0,0 +1,59 @@
/**
* tools/rules.js
* Tool to add or remove rules from a project (MCP server)
*/
import { z } from 'zod';
import {
createErrorResponse,
handleApiResult,
withNormalizedProjectRoot
} from './utils.js';
import { rulesDirect } from '../core/direct-functions/rules.js';
import { RULE_PROFILES } from '../../../src/constants/profiles.js';
/**
* Register the rules tool with the MCP server
* @param {Object} server - FastMCP server instance
*/
export function registerRulesTool(server) {
server.addTool({
name: 'rules',
description: 'Add or remove rule profiles from the project.',
parameters: z.object({
action: z
.enum(['add', 'remove'])
.describe('Whether to add or remove rule profiles.'),
profiles: z
.array(z.enum(RULE_PROFILES))
.min(1)
.describe(
`List of rule profiles to add or remove (e.g., [\"cursor\", \"roo\"]). Available options: ${RULE_PROFILES.join(', ')}`
),
projectRoot: z
.string()
.describe(
'The root directory of the project. Must be an absolute path.'
),
force: z
.boolean()
.optional()
.default(false)
.describe(
'DANGEROUS: Force removal even if it would leave no rule profiles. Only use if you are absolutely certain.'
)
}),
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
log.info(
`[rules tool] Executing action: ${args.action} for profiles: ${args.profiles.join(', ')} in ${args.projectRoot}`
);
const result = await rulesDirect(args, log, { session });
return handleApiResult(result, log);
} catch (error) {
log.error(`[rules tool] Error: ${error.message}`);
return createErrorResponse(error.message, { details: error.stack });
}
})
});
}

321
package-lock.json generated
View File

@@ -20,6 +20,7 @@
"@ai-sdk/xai": "^1.2.15",
"@anthropic-ai/sdk": "^0.39.0",
"@aws-sdk/credential-providers": "^3.817.0",
"@inquirer/search": "^3.0.15",
"@openrouter/ai-sdk-provider": "^0.4.5",
"ai": "^4.3.10",
"boxen": "^8.0.1",
@@ -67,6 +68,9 @@
},
"engines": {
"node": ">=18.0.0"
},
"optionalDependencies": {
"@anthropic-ai/claude-code": "^1.0.25"
}
},
"node_modules/@ai-sdk/amazon-bedrock": {
@@ -445,6 +449,28 @@
"node": ">=6.0.0"
}
},
"node_modules/@anthropic-ai/claude-code": {
"version": "1.0.25",
"resolved": "https://registry.npmjs.org/@anthropic-ai/claude-code/-/claude-code-1.0.25.tgz",
"integrity": "sha512-5p4FLlFO4TuRf0zV0axiOxiAkUC8eer0lqJi/A/pA46LESv31Alw6xaNYgwQVkP6oSbP5PydK36u7YrB9QSaXQ==",
"hasInstallScript": true,
"license": "SEE LICENSE IN README.md",
"optional": true,
"bin": {
"claude": "cli.js"
},
"engines": {
"node": ">=18.0.0"
},
"optionalDependencies": {
"@img/sharp-darwin-arm64": "^0.33.5",
"@img/sharp-darwin-x64": "^0.33.5",
"@img/sharp-linux-arm": "^0.33.5",
"@img/sharp-linux-arm64": "^0.33.5",
"@img/sharp-linux-x64": "^0.33.5",
"@img/sharp-win32-x64": "^0.33.5"
}
},
"node_modules/@anthropic-ai/sdk": {
"version": "0.39.0",
"resolved": "https://registry.npmjs.org/@anthropic-ai/sdk/-/sdk-0.39.0.tgz",
@@ -2650,6 +2676,215 @@
"node": ">=18"
}
},
"node_modules/@img/sharp-darwin-arm64": {
"version": "0.33.5",
"resolved": "https://registry.npmjs.org/@img/sharp-darwin-arm64/-/sharp-darwin-arm64-0.33.5.tgz",
"integrity": "sha512-UT4p+iz/2H4twwAoLCqfA9UH5pI6DggwKEGuaPy7nCVQ8ZsiY5PIcrRvD1DzuY3qYL07NtIQcWnBSY/heikIFQ==",
"cpu": [
"arm64"
],
"license": "Apache-2.0",
"optional": true,
"os": [
"darwin"
],
"engines": {
"node": "^18.17.0 || ^20.3.0 || >=21.0.0"
},
"funding": {
"url": "https://opencollective.com/libvips"
},
"optionalDependencies": {
"@img/sharp-libvips-darwin-arm64": "1.0.4"
}
},
"node_modules/@img/sharp-darwin-x64": {
"version": "0.33.5",
"resolved": "https://registry.npmjs.org/@img/sharp-darwin-x64/-/sharp-darwin-x64-0.33.5.tgz",
"integrity": "sha512-fyHac4jIc1ANYGRDxtiqelIbdWkIuQaI84Mv45KvGRRxSAa7o7d1ZKAOBaYbnepLC1WqxfpimdeWfvqqSGwR2Q==",
"cpu": [
"x64"
],
"license": "Apache-2.0",
"optional": true,
"os": [
"darwin"
],
"engines": {
"node": "^18.17.0 || ^20.3.0 || >=21.0.0"
},
"funding": {
"url": "https://opencollective.com/libvips"
},
"optionalDependencies": {
"@img/sharp-libvips-darwin-x64": "1.0.4"
}
},
"node_modules/@img/sharp-libvips-darwin-arm64": {
"version": "1.0.4",
"resolved": "https://registry.npmjs.org/@img/sharp-libvips-darwin-arm64/-/sharp-libvips-darwin-arm64-1.0.4.tgz",
"integrity": "sha512-XblONe153h0O2zuFfTAbQYAX2JhYmDHeWikp1LM9Hul9gVPjFY427k6dFEcOL72O01QxQsWi761svJ/ev9xEDg==",
"cpu": [
"arm64"
],
"license": "LGPL-3.0-or-later",
"optional": true,
"os": [
"darwin"
],
"funding": {
"url": "https://opencollective.com/libvips"
}
},
"node_modules/@img/sharp-libvips-darwin-x64": {
"version": "1.0.4",
"resolved": "https://registry.npmjs.org/@img/sharp-libvips-darwin-x64/-/sharp-libvips-darwin-x64-1.0.4.tgz",
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"cpu": [
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"license": "LGPL-3.0-or-later",
"optional": true,
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"darwin"
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"funding": {
"url": "https://opencollective.com/libvips"
}
},
"node_modules/@img/sharp-libvips-linux-arm": {
"version": "1.0.5",
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"cpu": [
"arm"
],
"license": "LGPL-3.0-or-later",
"optional": true,
"os": [
"linux"
],
"funding": {
"url": "https://opencollective.com/libvips"
}
},
"node_modules/@img/sharp-libvips-linux-arm64": {
"version": "1.0.4",
"resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-arm64/-/sharp-libvips-linux-arm64-1.0.4.tgz",
"integrity": "sha512-9B+taZ8DlyyqzZQnoeIvDVR/2F4EbMepXMc/NdVbkzsJbzkUjhXv/70GQJ7tdLA4YJgNP25zukcxpX2/SueNrA==",
"cpu": [
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"optional": true,
"os": [
"linux"
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"funding": {
"url": "https://opencollective.com/libvips"
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},
"node_modules/@img/sharp-libvips-linux-x64": {
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"cpu": [
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"license": "LGPL-3.0-or-later",
"optional": true,
"os": [
"linux"
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"funding": {
"url": "https://opencollective.com/libvips"
}
},
"node_modules/@img/sharp-linux-arm": {
"version": "0.33.5",
"resolved": "https://registry.npmjs.org/@img/sharp-linux-arm/-/sharp-linux-arm-0.33.5.tgz",
"integrity": "sha512-JTS1eldqZbJxjvKaAkxhZmBqPRGmxgu+qFKSInv8moZ2AmT5Yib3EQ1c6gp493HvrvV8QgdOXdyaIBrhvFhBMQ==",
"cpu": [
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"license": "Apache-2.0",
"optional": true,
"os": [
"linux"
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"node": "^18.17.0 || ^20.3.0 || >=21.0.0"
},
"funding": {
"url": "https://opencollective.com/libvips"
},
"optionalDependencies": {
"@img/sharp-libvips-linux-arm": "1.0.5"
}
},
"node_modules/@img/sharp-linux-arm64": {
"version": "0.33.5",
"resolved": "https://registry.npmjs.org/@img/sharp-linux-arm64/-/sharp-linux-arm64-0.33.5.tgz",
"integrity": "sha512-JMVv+AMRyGOHtO1RFBiJy/MBsgz0x4AWrT6QoEVVTyh1E39TrCUpTRI7mx9VksGX4awWASxqCYLCV4wBZHAYxA==",
"cpu": [
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],
"license": "Apache-2.0",
"optional": true,
"os": [
"linux"
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"engines": {
"node": "^18.17.0 || ^20.3.0 || >=21.0.0"
},
"funding": {
"url": "https://opencollective.com/libvips"
},
"optionalDependencies": {
"@img/sharp-libvips-linux-arm64": "1.0.4"
}
},
"node_modules/@img/sharp-linux-x64": {
"version": "0.33.5",
"resolved": "https://registry.npmjs.org/@img/sharp-linux-x64/-/sharp-linux-x64-0.33.5.tgz",
"integrity": "sha512-opC+Ok5pRNAzuvq1AG0ar+1owsu842/Ab+4qvU879ippJBHvyY5n2mxF1izXqkPYlGuP/M556uh53jRLJmzTWA==",
"cpu": [
"x64"
],
"license": "Apache-2.0",
"optional": true,
"os": [
"linux"
],
"engines": {
"node": "^18.17.0 || ^20.3.0 || >=21.0.0"
},
"funding": {
"url": "https://opencollective.com/libvips"
},
"optionalDependencies": {
"@img/sharp-libvips-linux-x64": "1.0.4"
}
},
"node_modules/@img/sharp-win32-x64": {
"version": "0.33.5",
"resolved": "https://registry.npmjs.org/@img/sharp-win32-x64/-/sharp-win32-x64-0.33.5.tgz",
"integrity": "sha512-MpY/o8/8kj+EcnxwvrP4aTJSWw/aZ7JIGR4aBeZkZw5B7/Jn+tY9/VNwtcoGmdT7GfggGIU4kygOMSbYnOrAbg==",
"cpu": [
"x64"
],
"license": "Apache-2.0 AND LGPL-3.0-or-later",
"optional": true,
"os": [
"win32"
],
"engines": {
"node": "^18.17.0 || ^20.3.0 || >=21.0.0"
},
"funding": {
"url": "https://opencollective.com/libvips"
}
},
"node_modules/@inquirer/checkbox": {
"version": "4.1.4",
"resolved": "https://registry.npmjs.org/@inquirer/checkbox/-/checkbox-4.1.4.tgz",
@@ -2696,13 +2931,13 @@
}
},
"node_modules/@inquirer/core": {
"version": "10.1.9",
"resolved": "https://registry.npmjs.org/@inquirer/core/-/core-10.1.9.tgz",
"integrity": "sha512-sXhVB8n20NYkUBfDYgizGHlpRVaCRjtuzNZA6xpALIUbkgfd2Hjz+DfEN6+h1BRnuxw0/P4jCIMjMsEOAMwAJw==",
"version": "10.1.13",
"resolved": "https://registry.npmjs.org/@inquirer/core/-/core-10.1.13.tgz",
"integrity": "sha512-1viSxebkYN2nJULlzCxES6G9/stgHSepZ9LqqfdIGPHj5OHhiBUXVS0a6R0bEC2A+VL4D9w6QB66ebCr6HGllA==",
"license": "MIT",
"dependencies": {
"@inquirer/figures": "^1.0.11",
"@inquirer/type": "^3.0.5",
"@inquirer/figures": "^1.0.12",
"@inquirer/type": "^3.0.7",
"ansi-escapes": "^4.3.2",
"cli-width": "^4.1.0",
"mute-stream": "^2.0.0",
@@ -2822,9 +3057,9 @@
}
},
"node_modules/@inquirer/figures": {
"version": "1.0.11",
"resolved": "https://registry.npmjs.org/@inquirer/figures/-/figures-1.0.11.tgz",
"integrity": "sha512-eOg92lvrn/aRUqbxRyvpEWnrvRuTYRifixHkYVpJiygTgVSBIHDqLh0SrMQXkafvULg3ck11V7xvR+zcgvpHFw==",
"version": "1.0.12",
"resolved": "https://registry.npmjs.org/@inquirer/figures/-/figures-1.0.12.tgz",
"integrity": "sha512-MJttijd8rMFcKJC8NYmprWr6hD3r9Gd9qUC0XwPNwoEPWSMVJwA2MlXxF+nhZZNMY+HXsWa+o7KY2emWYIn0jQ==",
"license": "MIT",
"engines": {
"node": ">=18"
@@ -2946,14 +3181,14 @@
}
},
"node_modules/@inquirer/search": {
"version": "3.0.11",
"resolved": "https://registry.npmjs.org/@inquirer/search/-/search-3.0.11.tgz",
"integrity": "sha512-9CWQT0ikYcg6Ls3TOa7jljsD7PgjcsYEM0bYE+Gkz+uoW9u8eaJCRHJKkucpRE5+xKtaaDbrND+nPDoxzjYyew==",
"version": "3.0.15",
"resolved": "https://registry.npmjs.org/@inquirer/search/-/search-3.0.15.tgz",
"integrity": "sha512-YBMwPxYBrADqyvP4nNItpwkBnGGglAvCLVW8u4pRmmvOsHUtCAUIMbUrLX5B3tFL1/WsLGdQ2HNzkqswMs5Uaw==",
"license": "MIT",
"dependencies": {
"@inquirer/core": "^10.1.9",
"@inquirer/figures": "^1.0.11",
"@inquirer/type": "^3.0.5",
"@inquirer/core": "^10.1.13",
"@inquirer/figures": "^1.0.12",
"@inquirer/type": "^3.0.7",
"yoctocolors-cjs": "^2.1.2"
},
"engines": {
@@ -2993,9 +3228,9 @@
}
},
"node_modules/@inquirer/type": {
"version": "3.0.5",
"resolved": "https://registry.npmjs.org/@inquirer/type/-/type-3.0.5.tgz",
"integrity": "sha512-ZJpeIYYueOz/i/ONzrfof8g89kNdO2hjGuvULROo3O8rlB2CRtSseE5KeirnyE4t/thAn/EwvS/vuQeJCn+NZg==",
"version": "3.0.7",
"resolved": "https://registry.npmjs.org/@inquirer/type/-/type-3.0.7.tgz",
"integrity": "sha512-PfunHQcjwnju84L+ycmcMKB/pTPIngjUJvfnRhKY6FKPuYXlM4aQCb/nIdTFR6BEhMjFvngzvng/vBAJMZpLSA==",
"license": "MIT",
"engines": {
"node": ">=18"
@@ -3867,6 +4102,19 @@
"node": ">= 0.6"
}
},
"node_modules/@noble/hashes": {
"version": "1.8.0",
"resolved": "https://registry.npmjs.org/@noble/hashes/-/hashes-1.8.0.tgz",
"integrity": "sha512-jCs9ldd7NwzpgXDIf6P3+NrHh9/sD6CQdxHyjQI+h/6rDNo88ypBxxz45UDuZHz9r3tNz7N/VInSVoVdtXEI4A==",
"dev": true,
"license": "MIT",
"engines": {
"node": "^14.21.3 || >=16"
},
"funding": {
"url": "https://paulmillr.com/funding/"
}
},
"node_modules/@nodelib/fs.scandir": {
"version": "2.1.5",
"resolved": "https://registry.npmjs.org/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz",
@@ -3965,6 +4213,16 @@
"node": ">=8.0.0"
}
},
"node_modules/@paralleldrive/cuid2": {
"version": "2.2.2",
"resolved": "https://registry.npmjs.org/@paralleldrive/cuid2/-/cuid2-2.2.2.tgz",
"integrity": "sha512-ZOBkgDwEdoYVlSeRbYYXs0S9MejQofiVYoTbKzy/6GQa39/q5tQU2IX46+shYnUkpEl3wc+J6wRlar7r2EK2xA==",
"dev": true,
"license": "MIT",
"dependencies": {
"@noble/hashes": "^1.1.5"
}
},
"node_modules/@sec-ant/readable-stream": {
"version": "0.4.1",
"resolved": "https://registry.npmjs.org/@sec-ant/readable-stream/-/readable-stream-0.4.1.tgz",
@@ -5327,9 +5585,9 @@
}
},
"node_modules/brace-expansion": {
"version": "1.1.11",
"resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
"integrity": "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==",
"version": "1.1.12",
"resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.12.tgz",
"integrity": "sha512-9T9UjW3r0UW5c1Q7GTwllptXwhvYmEzFhzMfZ9H7FQWt+uZePjZPjBP/W1ZEyZ1twGWom5/56TF4lPcqjnDHcg==",
"dev": true,
"license": "MIT",
"dependencies": {
@@ -7158,16 +7416,19 @@
}
},
"node_modules/formidable": {
"version": "3.5.2",
"resolved": "https://registry.npmjs.org/formidable/-/formidable-3.5.2.tgz",
"integrity": "sha512-Jqc1btCy3QzRbJaICGwKcBfGWuLADRerLzDqi2NwSt/UkXLsHJw2TVResiaoBufHVHy9aSgClOHCeJsSsFLTbg==",
"version": "3.5.4",
"resolved": "https://registry.npmjs.org/formidable/-/formidable-3.5.4.tgz",
"integrity": "sha512-YikH+7CUTOtP44ZTnUhR7Ic2UASBPOqmaRkRKxRbywPTe5VxF7RRCck4af9wutiZ/QKM5nME9Bie2fFaPz5Gug==",
"dev": true,
"license": "MIT",
"dependencies": {
"@paralleldrive/cuid2": "^2.2.2",
"dezalgo": "^1.0.4",
"hexoid": "^2.0.0",
"once": "^1.4.0"
},
"engines": {
"node": ">=14.0.0"
},
"funding": {
"url": "https://ko-fi.com/tunnckoCore/commissions"
}
@@ -7671,16 +7932,6 @@
"node": ">=18.0.0"
}
},
"node_modules/hexoid": {
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/hexoid/-/hexoid-2.0.0.tgz",
"integrity": "sha512-qlspKUK7IlSQv2o+5I7yhUd7TxlOG2Vr5LTa3ve2XSNVKAL/n/u/7KLvKmFNimomDIKvZFXWHv0T12mv7rT8Aw==",
"dev": true,
"license": "MIT",
"engines": {
"node": ">=8"
}
},
"node_modules/highlight.js": {
"version": "10.7.3",
"resolved": "https://registry.npmjs.org/highlight.js/-/highlight.js-10.7.3.tgz",
@@ -12066,4 +12317,4 @@
}
}
}
}
}

View File

@@ -1,6 +1,6 @@
{
"name": "task-master-ai",
"version": "0.17.1",
"version": "0.18.0",
"description": "A task management system for ambitious AI-driven development that doesn't overwhelm and confuse Cursor.",
"main": "index.js",
"type": "module",
@@ -50,6 +50,7 @@
"@ai-sdk/xai": "^1.2.15",
"@anthropic-ai/sdk": "^0.39.0",
"@aws-sdk/credential-providers": "^3.817.0",
"@inquirer/search": "^3.0.15",
"@openrouter/ai-sdk-provider": "^0.4.5",
"ai": "^4.3.10",
"boxen": "^8.0.1",
@@ -75,6 +76,9 @@
"uuid": "^11.1.0",
"zod": "^3.23.8"
},
"optionalDependencies": {
"@anthropic-ai/claude-code": "^1.0.25"
},
"engines": {
"node": ">=18.0.0"
},

View File

@@ -23,7 +23,14 @@ import figlet from 'figlet';
import boxen from 'boxen';
import gradient from 'gradient-string';
import { isSilentMode } from './modules/utils.js';
import { convertAllCursorRulesToRooRules } from './modules/rule-transformer.js';
import { insideGitWorkTree } from './modules/utils/git-utils.js';
import { manageGitignoreFile } from '../src/utils/manage-gitignore.js';
import { RULE_PROFILES } from '../src/constants/profiles.js';
import {
convertAllRulesToProfileRules,
getRulesProfile
} from '../src/utils/rule-transformer.js';
import { execSync } from 'child_process';
import {
EXAMPLE_PRD_FILE,
@@ -221,70 +228,9 @@ function copyTemplateFile(templateName, targetPath, replacements = {}) {
// case 'scripts_README.md':
// sourcePath = path.join(__dirname, '..', 'assets', 'scripts_README.md');
// break;
case 'dev_workflow.mdc':
sourcePath = path.join(
__dirname,
'..',
'.cursor',
'rules',
'dev_workflow.mdc'
);
break;
case 'taskmaster.mdc':
sourcePath = path.join(
__dirname,
'..',
'.cursor',
'rules',
'taskmaster.mdc'
);
break;
case 'cursor_rules.mdc':
sourcePath = path.join(
__dirname,
'..',
'.cursor',
'rules',
'cursor_rules.mdc'
);
break;
case 'self_improve.mdc':
sourcePath = path.join(
__dirname,
'..',
'.cursor',
'rules',
'self_improve.mdc'
);
break;
// case 'README-task-master.md':
// sourcePath = path.join(__dirname, '..', 'README-task-master.md');
break;
case 'windsurfrules':
sourcePath = path.join(__dirname, '..', 'assets', '.windsurfrules');
break;
case '.roomodes':
sourcePath = path.join(__dirname, '..', 'assets', 'roocode', '.roomodes');
break;
case 'architect-rules':
case 'ask-rules':
case 'boomerang-rules':
case 'code-rules':
case 'debug-rules':
case 'test-rules': {
// Extract the mode name from the template name (e.g., 'architect' from 'architect-rules')
const mode = templateName.split('-')[0];
sourcePath = path.join(
__dirname,
'..',
'assets',
'roocode',
'.roo',
`rules-${mode}`,
templateName
);
break;
}
// case 'README-task-master.md':
// sourcePath = path.join(__dirname, '..', 'README-task-master.md');
// break;
default:
// For other files like env.example, gitignore, etc. that don't have direct equivalents
sourcePath = path.join(__dirname, '..', 'assets', templateName);
@@ -334,21 +280,6 @@ function copyTemplateFile(templateName, targetPath, replacements = {}) {
return;
}
// Handle .windsurfrules - append the entire content
if (filename === '.windsurfrules') {
log(
'info',
`${targetPath} already exists, appending content instead of overwriting...`
);
const existingContent = fs.readFileSync(targetPath, 'utf8');
// Add a separator comment before appending our content
const updatedContent = `${existingContent.trim()}\n\n# Added by Task Master - Development Workflow Rules\n\n${content}`;
fs.writeFileSync(targetPath, updatedContent);
log('success', `Updated ${targetPath} with additional rules`);
return;
}
// Handle README.md - offer to preserve or create a different file
if (filename === 'README-task-master.md') {
log('info', `${targetPath} already exists`);
@@ -375,7 +306,7 @@ function copyTemplateFile(templateName, targetPath, replacements = {}) {
log('info', `Created file: ${targetPath}`);
}
// Main function to initialize a new project (No longer needs isInteractive logic)
// Main function to initialize a new project
async function initializeProject(options = {}) {
// Receives options as argument
// Only display banner if not in silent mode
@@ -391,12 +322,61 @@ async function initializeProject(options = {}) {
// console.log('==================================================');
// }
// Handle boolean aliases flags
if (options.aliases === true) {
options.addAliases = true; // --aliases flag provided
} else if (options.aliases === false) {
options.addAliases = false; // --no-aliases flag provided
}
// If options.aliases and options.noAliases are undefined, we'll prompt for it
// Handle boolean git flags
if (options.git === true) {
options.initGit = true; // --git flag provided
} else if (options.git === false) {
options.initGit = false; // --no-git flag provided
}
// If options.git and options.noGit are undefined, we'll prompt for it
// Handle boolean gitTasks flags
if (options.gitTasks === true) {
options.storeTasksInGit = true; // --git-tasks flag provided
} else if (options.gitTasks === false) {
options.storeTasksInGit = false; // --no-git-tasks flag provided
}
// If options.gitTasks and options.noGitTasks are undefined, we'll prompt for it
const skipPrompts = options.yes || (options.name && options.description);
// if (!isSilentMode()) {
// console.log('Skip prompts determined:', skipPrompts);
// }
let selectedRuleProfiles;
if (options.rulesExplicitlyProvided) {
// If --rules flag was used, always respect it.
log(
'info',
`Using rule profiles provided via command line: ${options.rules.join(', ')}`
);
selectedRuleProfiles = options.rules;
} else if (skipPrompts) {
// If non-interactive (e.g., --yes) and no rules specified, default to ALL.
log(
'info',
`No rules specified in non-interactive mode, defaulting to all profiles.`
);
selectedRuleProfiles = RULE_PROFILES;
} else {
// If interactive and no rules specified, default to NONE.
// The 'rules --setup' wizard will handle selection.
log(
'info',
'No rules specified; interactive setup will be launched to select profiles.'
);
selectedRuleProfiles = [];
}
if (skipPrompts) {
if (!isSilentMode()) {
console.log('SKIPPING PROMPTS - Using defaults or provided values');
@@ -409,38 +389,92 @@ async function initializeProject(options = {}) {
const projectVersion = options.version || '0.1.0';
const authorName = options.author || 'Vibe coder';
const dryRun = options.dryRun || false;
const addAliases = options.aliases || false;
const addAliases =
options.addAliases !== undefined ? options.addAliases : true; // Default to true if not specified
const initGit = options.initGit !== undefined ? options.initGit : true; // Default to true if not specified
const storeTasksInGit =
options.storeTasksInGit !== undefined ? options.storeTasksInGit : true; // Default to true if not specified
if (dryRun) {
log('info', 'DRY RUN MODE: No files will be modified');
log('info', 'Would initialize Task Master project');
log('info', 'Would create/update necessary project files');
if (addAliases) {
log('info', 'Would add shell aliases for task-master');
}
// Show flag-specific behavior
log(
'info',
`${addAliases ? 'Would add shell aliases (tm, taskmaster)' : 'Would skip shell aliases'}`
);
log(
'info',
`${initGit ? 'Would initialize Git repository' : 'Would skip Git initialization'}`
);
log(
'info',
`${storeTasksInGit ? 'Would store tasks in Git' : 'Would exclude tasks from Git'}`
);
return {
dryRun: true
};
}
createProjectStructure(addAliases, dryRun, options);
createProjectStructure(
addAliases,
initGit,
storeTasksInGit,
dryRun,
options,
selectedRuleProfiles
);
} else {
// Interactive logic
log('info', 'Required options not provided, proceeding with prompts.');
const rl = readline.createInterface({
input: process.stdin,
output: process.stdout
});
try {
// Only prompt for shell aliases
const addAliasesInput = await promptQuestion(
rl,
chalk.cyan(
'Add shell aliases for task-master? This lets you type "tm" instead of "task-master" (Y/n): '
)
);
const addAliasesPrompted = addAliasesInput.trim().toLowerCase() !== 'n';
const rl = readline.createInterface({
input: process.stdin,
output: process.stdout
});
// Prompt for shell aliases (skip if --aliases or --no-aliases flag was provided)
let addAliasesPrompted = true; // Default to true
if (options.addAliases !== undefined) {
addAliasesPrompted = options.addAliases; // Use flag value if provided
} else {
const addAliasesInput = await promptQuestion(
rl,
chalk.cyan(
'Add shell aliases for task-master? This lets you type "tm" instead of "task-master" (Y/n): '
)
);
addAliasesPrompted = addAliasesInput.trim().toLowerCase() !== 'n';
}
// Prompt for Git initialization (skip if --git or --no-git flag was provided)
let initGitPrompted = true; // Default to true
if (options.initGit !== undefined) {
initGitPrompted = options.initGit; // Use flag value if provided
} else {
const gitInitInput = await promptQuestion(
rl,
chalk.cyan('Initialize a Git repository in project root? (Y/n): ')
);
initGitPrompted = gitInitInput.trim().toLowerCase() !== 'n';
}
// Prompt for Git tasks storage (skip if --git-tasks or --no-git-tasks flag was provided)
let storeGitPrompted = true; // Default to true
if (options.storeTasksInGit !== undefined) {
storeGitPrompted = options.storeTasksInGit; // Use flag value if provided
} else {
const gitTasksInput = await promptQuestion(
rl,
chalk.cyan(
'Store tasks in Git (tasks.json and tasks/ directory)? (Y/n): '
)
);
storeGitPrompted = gitTasksInput.trim().toLowerCase() !== 'n';
}
// Confirm settings...
console.log('\nTask Master Project settings:');
@@ -450,38 +484,76 @@ async function initializeProject(options = {}) {
),
chalk.white(addAliasesPrompted ? 'Yes' : 'No')
);
console.log(
chalk.blue('Initialize Git repository in project root:'),
chalk.white(initGitPrompted ? 'Yes' : 'No')
);
console.log(
chalk.blue('Store tasks in Git (tasks.json and tasks/ directory):'),
chalk.white(storeGitPrompted ? 'Yes' : 'No')
);
const confirmInput = await promptQuestion(
rl,
chalk.yellow('\nDo you want to continue with these settings? (Y/n): ')
);
const shouldContinue = confirmInput.trim().toLowerCase() !== 'n';
rl.close();
if (!shouldContinue) {
rl.close();
log('info', 'Project initialization cancelled by user');
process.exit(0);
return;
}
// Only run interactive rules if rules flag not provided via command line
if (options.rulesExplicitlyProvided) {
log(
'info',
`Using rule profiles provided via command line: ${selectedRuleProfiles.join(', ')}`
);
}
const dryRun = options.dryRun || false;
if (dryRun) {
log('info', 'DRY RUN MODE: No files will be modified');
log('info', 'Would initialize Task Master project');
log('info', 'Would create/update necessary project files');
if (addAliasesPrompted) {
log('info', 'Would add shell aliases for task-master');
}
// Show flag-specific behavior
log(
'info',
`${addAliasesPrompted ? 'Would add shell aliases (tm, taskmaster)' : 'Would skip shell aliases'}`
);
log(
'info',
`${initGitPrompted ? 'Would initialize Git repository' : 'Would skip Git initialization'}`
);
log(
'info',
`${storeGitPrompted ? 'Would store tasks in Git' : 'Would exclude tasks from Git'}`
);
return {
dryRun: true
};
}
// Create structure using only necessary values
createProjectStructure(addAliasesPrompted, dryRun, options);
} catch (error) {
createProjectStructure(
addAliasesPrompted,
initGitPrompted,
storeGitPrompted,
dryRun,
options,
selectedRuleProfiles
);
rl.close();
} catch (error) {
if (rl) {
rl.close();
}
log('error', `Error during initialization process: ${error.message}`);
process.exit(1);
}
@@ -498,23 +570,17 @@ function promptQuestion(rl, question) {
}
// Function to create the project structure
function createProjectStructure(addAliases, dryRun, options) {
function createProjectStructure(
addAliases,
initGit,
storeTasksInGit,
dryRun,
options,
selectedRuleProfiles = RULE_PROFILES
) {
const targetDir = process.cwd();
log('info', `Initializing project in ${targetDir}`);
// Define Roo modes locally (external integration, not part of core Task Master)
const ROO_MODES = ['architect', 'ask', 'boomerang', 'code', 'debug', 'test'];
// Create directories
ensureDirectoryExists(path.join(targetDir, '.cursor/rules'));
// Create Roo directories
ensureDirectoryExists(path.join(targetDir, '.roo'));
ensureDirectoryExists(path.join(targetDir, '.roo/rules'));
for (const mode of ROO_MODES) {
ensureDirectoryExists(path.join(targetDir, '.roo', `rules-${mode}`));
}
// Create NEW .taskmaster directory structure (using constants)
ensureDirectoryExists(path.join(targetDir, TASKMASTER_DIR));
ensureDirectoryExists(path.join(targetDir, TASKMASTER_TASKS_DIR));
@@ -525,14 +591,22 @@ function createProjectStructure(addAliases, dryRun, options) {
// Create initial state.json file for tag management
createInitialStateFile(targetDir);
// Setup MCP configuration for integration with Cursor
setupMCPConfiguration(targetDir);
// Copy template files with replacements
const replacements = {
year: new Date().getFullYear()
};
// Helper function to create rule profiles
function _processSingleProfile(profileName) {
const profile = getRulesProfile(profileName);
if (profile) {
convertAllRulesToProfileRules(targetDir, profile);
// Also triggers MCP config setup (if applicable)
} else {
log('warn', `Unknown rule profile: ${profileName}`);
}
}
// Copy .env.example
copyTemplateFile(
'env.example',
@@ -549,49 +623,23 @@ function createProjectStructure(addAliases, dryRun, options) {
}
);
// Copy .gitignore
copyTemplateFile('gitignore', path.join(targetDir, GITIGNORE_FILE));
// Copy dev_workflow.mdc
copyTemplateFile(
'dev_workflow.mdc',
path.join(targetDir, '.cursor/rules/dev_workflow.mdc')
);
// Copy taskmaster.mdc
copyTemplateFile(
'taskmaster.mdc',
path.join(targetDir, '.cursor/rules/taskmaster.mdc')
);
// Copy cursor_rules.mdc
copyTemplateFile(
'cursor_rules.mdc',
path.join(targetDir, '.cursor/rules/cursor_rules.mdc')
);
// Copy self_improve.mdc
copyTemplateFile(
'self_improve.mdc',
path.join(targetDir, '.cursor/rules/self_improve.mdc')
);
// Generate Roo rules from Cursor rules
log('info', 'Generating Roo rules from Cursor rules...');
convertAllCursorRulesToRooRules(targetDir);
// Copy .windsurfrules
copyTemplateFile('windsurfrules', path.join(targetDir, '.windsurfrules'));
// Copy .roomodes for Roo Code integration
copyTemplateFile('.roomodes', path.join(targetDir, '.roomodes'));
// Copy Roo rule files for each mode
for (const mode of ROO_MODES) {
copyTemplateFile(
`${mode}-rules`,
path.join(targetDir, '.roo', `rules-${mode}`, `${mode}-rules`)
// Copy .gitignore with GitTasks preference
try {
const gitignoreTemplatePath = path.join(
__dirname,
'..',
'assets',
'gitignore'
);
const templateContent = fs.readFileSync(gitignoreTemplatePath, 'utf8');
manageGitignoreFile(
path.join(targetDir, GITIGNORE_FILE),
templateContent,
storeTasksInGit,
log
);
} catch (error) {
log('error', `Failed to create .gitignore: ${error.message}`);
}
// Copy example_prd.txt to NEW location
@@ -599,15 +647,50 @@ function createProjectStructure(addAliases, dryRun, options) {
// Initialize git repository if git is available
try {
if (!fs.existsSync(path.join(targetDir, '.git'))) {
log('info', 'Initializing git repository...');
execSync('git init', { stdio: 'ignore' });
log('success', 'Git repository initialized');
if (initGit === false) {
log('info', 'Git initialization skipped due to --no-git flag.');
} else if (initGit === true) {
if (insideGitWorkTree()) {
log(
'info',
'Existing Git repository detected skipping git init despite --git flag.'
);
} else {
log('info', 'Initializing Git repository due to --git flag...');
execSync('git init', { cwd: targetDir, stdio: 'ignore' });
log('success', 'Git repository initialized');
}
} else {
// Default behavior when no flag is provided (from interactive prompt)
if (insideGitWorkTree()) {
log('info', 'Existing Git repository detected skipping git init.');
} else {
log(
'info',
'No Git repository detected. Initializing one in project root...'
);
execSync('git init', { cwd: targetDir, stdio: 'ignore' });
log('success', 'Git repository initialized');
}
}
} catch (error) {
log('warn', 'Git not available, skipping repository initialization');
}
// Only run the manual transformer if rules were provided via flags.
// The interactive `rules --setup` wizard handles its own installation.
if (options.rulesExplicitlyProvided || options.yes) {
log('info', 'Generating profile rules from command-line flags...');
for (const profileName of selectedRuleProfiles) {
_processSingleProfile(profileName);
}
}
// Add shell aliases if requested
if (addAliases) {
addShellAliases();
}
// Run npm install automatically
const npmInstallOptions = {
cwd: targetDir,
@@ -631,6 +714,49 @@ function createProjectStructure(addAliases, dryRun, options) {
);
}
// === Add Rule Profiles Setup Step ===
if (
!isSilentMode() &&
!dryRun &&
!options?.yes &&
!options.rulesExplicitlyProvided
) {
console.log(
boxen(chalk.cyan('Configuring Rule Profiles...'), {
padding: 0.5,
margin: { top: 1, bottom: 0.5 },
borderStyle: 'round',
borderColor: 'blue'
})
);
log(
'info',
'Running interactive rules setup. Please select which rule profiles to include.'
);
try {
// Correct command confirmed by you.
execSync('npx task-master rules --setup', {
stdio: 'inherit',
cwd: targetDir
});
log('success', 'Rule profiles configured.');
} catch (error) {
log('error', 'Failed to configure rule profiles:', error.message);
log('warn', 'You may need to run "task-master rules --setup" manually.');
}
} else if (isSilentMode() || dryRun || options?.yes) {
// This branch can log why setup was skipped, similar to the model setup logic.
if (options.rulesExplicitlyProvided) {
log(
'info',
'Skipping interactive rules setup because --rules flag was used.'
);
} else {
log('info', 'Skipping interactive rules setup in non-interactive mode.');
}
}
// =====================================
// === Add Model Configuration Step ===
if (!isSilentMode() && !dryRun && !options?.yes) {
console.log(
@@ -672,6 +798,17 @@ function createProjectStructure(addAliases, dryRun, options) {
}
// ====================================
// Add shell aliases if requested
if (addAliases && !dryRun) {
log('info', 'Adding shell aliases...');
const aliasResult = addShellAliases();
if (aliasResult) {
log('success', 'Shell aliases added successfully');
}
} else if (addAliases && dryRun) {
log('info', 'DRY RUN: Would add shell aliases (tm, taskmaster)');
}
// Display success message
if (!isSilentMode()) {
console.log(
@@ -729,114 +866,5 @@ function createProjectStructure(addAliases, dryRun, options) {
}
}
// Function to setup MCP configuration for Cursor integration
function setupMCPConfiguration(targetDir) {
const mcpDirPath = path.join(targetDir, '.cursor');
const mcpJsonPath = path.join(mcpDirPath, 'mcp.json');
log('info', 'Setting up MCP configuration for Cursor integration...');
// Create .cursor directory if it doesn't exist
ensureDirectoryExists(mcpDirPath);
// New MCP config to be added - references the installed package
const newMCPServer = {
'task-master-ai': {
command: 'npx',
args: ['-y', '--package=task-master-ai', 'task-master-ai'],
env: {
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'
}
}
};
// Check if mcp.json already existsimage.png
if (fs.existsSync(mcpJsonPath)) {
log(
'info',
'MCP configuration file already exists, checking for existing task-master-mcp...'
);
try {
// Read existing config
const mcpConfig = JSON.parse(fs.readFileSync(mcpJsonPath, 'utf8'));
// Initialize mcpServers if it doesn't exist
if (!mcpConfig.mcpServers) {
mcpConfig.mcpServers = {};
}
// Check if any existing server configuration already has task-master-mcp in its args
const hasMCPString = Object.values(mcpConfig.mcpServers).some(
(server) =>
server.args &&
server.args.some(
(arg) => typeof arg === 'string' && arg.includes('task-master-ai')
)
);
if (hasMCPString) {
log(
'info',
'Found existing task-master-ai MCP configuration in mcp.json, leaving untouched'
);
return; // Exit early, don't modify the existing configuration
}
// Add the task-master-ai server if it doesn't exist
if (!mcpConfig.mcpServers['task-master-ai']) {
mcpConfig.mcpServers['task-master-ai'] = newMCPServer['task-master-ai'];
log(
'info',
'Added task-master-ai server to existing MCP configuration'
);
} else {
log('info', 'task-master-ai server already configured in mcp.json');
}
// Write the updated configuration
fs.writeFileSync(mcpJsonPath, JSON.stringify(mcpConfig, null, 4));
log('success', 'Updated MCP configuration file');
} catch (error) {
log('error', `Failed to update MCP configuration: ${error.message}`);
// Create a backup before potentially modifying
const backupPath = `${mcpJsonPath}.backup-${Date.now()}`;
if (fs.existsSync(mcpJsonPath)) {
fs.copyFileSync(mcpJsonPath, backupPath);
log('info', `Created backup of existing mcp.json at ${backupPath}`);
}
// Create new configuration
const newMCPConfig = {
mcpServers: newMCPServer
};
fs.writeFileSync(mcpJsonPath, JSON.stringify(newMCPConfig, null, 4));
log(
'warn',
'Created new MCP configuration file (backup of original file was created if it existed)'
);
}
} else {
// If mcp.json doesn't exist, create it
const newMCPConfig = {
mcpServers: newMCPServer
};
fs.writeFileSync(mcpJsonPath, JSON.stringify(newMCPConfig, null, 4));
log('success', 'Created MCP configuration file for Cursor integration');
}
// Add note to console about MCP integration
log('info', 'MCP server will use the installed task-master-ai package');
}
// Ensure necessary functions are exported
export { initializeProject, log }; // Only export what's needed by commands.js
export { initializeProject, log };

View File

@@ -44,7 +44,8 @@ import {
OllamaAIProvider,
BedrockAIProvider,
AzureProvider,
VertexAIProvider
VertexAIProvider,
ClaudeCodeProvider
} from '../../src/ai-providers/index.js';
// Create provider instances
@@ -58,7 +59,8 @@ const PROVIDERS = {
ollama: new OllamaAIProvider(),
bedrock: new BedrockAIProvider(),
azure: new AzureProvider(),
vertex: new VertexAIProvider()
vertex: new VertexAIProvider(),
'claude-code': new ClaudeCodeProvider()
};
// Helper function to get cost for a specific model
@@ -225,6 +227,11 @@ function _extractErrorMessage(error) {
* @throws {Error} If a required API key is missing.
*/
function _resolveApiKey(providerName, session, projectRoot = null) {
// Claude Code doesn't require an API key
if (providerName === 'claude-code') {
return 'claude-code-no-key-required';
}
const keyMap = {
openai: 'OPENAI_API_KEY',
anthropic: 'ANTHROPIC_API_KEY',
@@ -236,7 +243,8 @@ function _resolveApiKey(providerName, session, projectRoot = null) {
xai: 'XAI_API_KEY',
ollama: 'OLLAMA_API_KEY',
bedrock: 'AWS_ACCESS_KEY_ID',
vertex: 'GOOGLE_API_KEY'
vertex: 'GOOGLE_API_KEY',
'claude-code': 'CLAUDE_CODE_API_KEY' // Not actually used, but included for consistency
};
const envVarName = keyMap[providerName];

View File

@@ -11,6 +11,7 @@ import fs from 'fs';
import https from 'https';
import http from 'http';
import inquirer from 'inquirer';
import search from '@inquirer/search';
import ora from 'ora'; // Import ora
import {
@@ -71,6 +72,8 @@ import {
getBaseUrlForRole
} from './config-manager.js';
import { CUSTOM_PROVIDERS } from '../../src/constants/providers.js';
import {
COMPLEXITY_REPORT_FILE,
PRD_FILE,
@@ -96,6 +99,14 @@ import {
displayTaggedTasksFYI,
displayCurrentTagIndicator
} from './ui.js';
import {
confirmProfilesRemove,
confirmRemoveAllRemainingProfiles
} from '../../src/ui/confirm.js';
import {
wouldRemovalLeaveNoProfiles,
getInstalledProfiles
} from '../../src/utils/profiles.js';
import { initializeProject } from '../init.js';
import {
@@ -108,8 +119,27 @@ import {
isValidTaskStatus,
TASK_STATUS_OPTIONS
} from '../../src/constants/task-status.js';
import {
isValidRulesAction,
RULES_ACTIONS,
RULES_SETUP_ACTION
} from '../../src/constants/rules-actions.js';
import { getTaskMasterVersion } from '../../src/utils/getVersion.js';
import { syncTasksToReadme } from './sync-readme.js';
import { RULE_PROFILES } from '../../src/constants/profiles.js';
import {
convertAllRulesToProfileRules,
removeProfileRules,
isValidProfile,
getRulesProfile
} from '../../src/utils/rule-transformer.js';
import {
runInteractiveProfilesSetup,
generateProfileSummary,
categorizeProfileResults,
generateProfileRemovalSummary,
categorizeRemovalResults
} from '../../src/utils/profiles.js';
/**
* Runs the interactive setup process for model configuration.
@@ -264,20 +294,14 @@ async function runInteractiveSetup(projectRoot) {
}
: null;
const customOpenRouterOption = {
name: '* Custom OpenRouter model', // Symbol updated
value: '__CUSTOM_OPENROUTER__'
};
const customOllamaOption = {
name: '* Custom Ollama model', // Symbol updated
value: '__CUSTOM_OLLAMA__'
};
const customBedrockOption = {
name: '* Custom Bedrock model', // Add Bedrock custom option
value: '__CUSTOM_BEDROCK__'
};
// Define custom provider options
const customProviderOptions = [
{ name: '* Custom OpenRouter model', value: '__CUSTOM_OPENROUTER__' },
{ name: '* Custom Ollama model', value: '__CUSTOM_OLLAMA__' },
{ name: '* Custom Bedrock model', value: '__CUSTOM_BEDROCK__' },
{ name: '* Custom Azure model', value: '__CUSTOM_AZURE__' },
{ name: '* Custom Vertex model', value: '__CUSTOM_VERTEX__' }
];
let choices = [];
let defaultIndex = 0; // Default to 'Cancel'
@@ -317,43 +341,42 @@ async function runInteractiveSetup(projectRoot) {
);
}
// Construct final choices list based on whether 'None' is allowed
const commonPrefix = [];
// Construct final choices list with custom options moved to bottom
const systemOptions = [];
if (noChangeOption) {
commonPrefix.push(noChangeOption);
systemOptions.push(noChangeOption);
}
commonPrefix.push(cancelOption);
commonPrefix.push(customOpenRouterOption);
commonPrefix.push(customOllamaOption);
commonPrefix.push(customBedrockOption);
systemOptions.push(cancelOption);
const prefixLength = commonPrefix.length; // Initial prefix length
const systemLength = systemOptions.length;
if (allowNone) {
choices = [
...commonPrefix,
new inquirer.Separator(),
{ name: '⚪ None (disable)', value: null }, // Symbol updated
new inquirer.Separator(),
...roleChoices
...systemOptions,
new inquirer.Separator('\n── Standard Models ──'),
{ name: '⚪ None (disable)', value: null },
...roleChoices,
new inquirer.Separator('\n── Custom Providers ──'),
...customProviderOptions
];
// Adjust default index: Prefix + Sep1 + None + Sep2 (+3)
const noneOptionIndex = prefixLength + 1;
// Adjust default index: System + Sep1 + None (+2)
const noneOptionIndex = systemLength + 1;
defaultIndex =
currentChoiceIndex !== -1
? currentChoiceIndex + prefixLength + 3 // Offset by prefix and separators
? currentChoiceIndex + systemLength + 2 // Offset by system options and separators
: noneOptionIndex; // Default to 'None' if no current model matched
} else {
choices = [
...commonPrefix,
new inquirer.Separator(),
...systemOptions,
new inquirer.Separator('\n── Standard Models ──'),
...roleChoices,
new inquirer.Separator()
new inquirer.Separator('\n── Custom Providers ──'),
...customProviderOptions
];
// Adjust default index: Prefix + Sep (+1)
// Adjust default index: System + Sep (+1)
defaultIndex =
currentChoiceIndex !== -1
? currentChoiceIndex + prefixLength + 1 // Offset by prefix and separator
? currentChoiceIndex + systemLength + 1 // Offset by system options and separator
: noChangeOption
? 1
: 0; // Default to 'No Change' if present, else 'Cancel'
@@ -376,32 +399,63 @@ async function runInteractiveSetup(projectRoot) {
const researchPromptData = getPromptData('research');
const fallbackPromptData = getPromptData('fallback', true); // Allow 'None' for fallback
const answers = await inquirer.prompt([
{
type: 'list',
name: 'mainModel',
message: 'Select the main model for generation/updates:',
choices: mainPromptData.choices,
default: mainPromptData.default
},
{
type: 'list',
name: 'researchModel',
// Display helpful intro message
console.log(chalk.cyan('\n🎯 Interactive Model Setup'));
console.log(chalk.gray('━'.repeat(50)));
console.log(chalk.yellow('💡 Navigation tips:'));
console.log(chalk.gray(' • Type to search and filter options'));
console.log(chalk.gray(' • Use ↑↓ arrow keys to navigate results'));
console.log(
chalk.gray(
' • Standard models are listed first, custom providers at bottom'
)
);
console.log(chalk.gray(' • Press Enter to select\n'));
// Helper function to create search source for models
const createSearchSource = (choices, defaultValue) => {
return (searchTerm = '') => {
const filteredChoices = choices.filter((choice) => {
if (choice.type === 'separator') return true; // Always show separators
const searchText = choice.name || '';
return searchText.toLowerCase().includes(searchTerm.toLowerCase());
});
return Promise.resolve(filteredChoices);
};
};
const answers = {};
// Main model selection
answers.mainModel = await search({
message: 'Select the main model for generation/updates:',
source: createSearchSource(mainPromptData.choices, mainPromptData.default),
pageSize: 15
});
if (answers.mainModel !== '__CANCEL__') {
// Research model selection
answers.researchModel = await search({
message: 'Select the research model:',
choices: researchPromptData.choices,
default: researchPromptData.default,
when: (ans) => ans.mainModel !== '__CANCEL__'
},
{
type: 'list',
name: 'fallbackModel',
message: 'Select the fallback model (optional):',
choices: fallbackPromptData.choices,
default: fallbackPromptData.default,
when: (ans) =>
ans.mainModel !== '__CANCEL__' && ans.researchModel !== '__CANCEL__'
source: createSearchSource(
researchPromptData.choices,
researchPromptData.default
),
pageSize: 15
});
if (answers.researchModel !== '__CANCEL__') {
// Fallback model selection
answers.fallbackModel = await search({
message: 'Select the fallback model (optional):',
source: createSearchSource(
fallbackPromptData.choices,
fallbackPromptData.default
),
pageSize: 15
});
}
]);
}
let setupSuccess = true;
let setupConfigModified = false;
@@ -441,7 +495,7 @@ async function runInteractiveSetup(projectRoot) {
return true; // Continue setup, but don't set this role
}
modelIdToSet = customId;
providerHint = 'openrouter';
providerHint = CUSTOM_PROVIDERS.OPENROUTER;
// Validate against live OpenRouter list
const openRouterModels = await fetchOpenRouterModelsCLI();
if (
@@ -470,7 +524,7 @@ async function runInteractiveSetup(projectRoot) {
return true; // Continue setup, but don't set this role
}
modelIdToSet = customId;
providerHint = 'ollama';
providerHint = CUSTOM_PROVIDERS.OLLAMA;
// Get the Ollama base URL from config for this role
const ollamaBaseURL = getBaseUrlForRole(role, projectRoot);
// Validate against live Ollama list
@@ -511,16 +565,16 @@ async function runInteractiveSetup(projectRoot) {
return true; // Continue setup, but don't set this role
}
modelIdToSet = customId;
providerHint = 'bedrock';
providerHint = CUSTOM_PROVIDERS.BEDROCK;
// Check if AWS environment variables exist
if (
!process.env.AWS_ACCESS_KEY_ID ||
!process.env.AWS_SECRET_ACCESS_KEY
) {
console.error(
chalk.red(
'Error: AWS_ACCESS_KEY_ID and/or AWS_SECRET_ACCESS_KEY environment variables are missing. Please set them before using custom Bedrock models.'
console.warn(
chalk.yellow(
'Warning: AWS_ACCESS_KEY_ID and/or AWS_SECRET_ACCESS_KEY environment variables are missing. Will fallback to system configuration. (ex: aws config files or ec2 instance profiles)'
)
);
setupSuccess = false;
@@ -532,6 +586,76 @@ async function runInteractiveSetup(projectRoot) {
`Custom Bedrock model "${modelIdToSet}" will be used. No validation performed.`
)
);
} else if (selectedValue === '__CUSTOM_AZURE__') {
isCustomSelection = true;
const { customId } = await inquirer.prompt([
{
type: 'input',
name: 'customId',
message: `Enter the custom Azure OpenAI Model ID for the ${role} role (e.g., gpt-4o):`
}
]);
if (!customId) {
console.log(chalk.yellow('No custom ID entered. Skipping role.'));
return true; // Continue setup, but don't set this role
}
modelIdToSet = customId;
providerHint = CUSTOM_PROVIDERS.AZURE;
// Check if Azure environment variables exist
if (
!process.env.AZURE_OPENAI_API_KEY ||
!process.env.AZURE_OPENAI_ENDPOINT
) {
console.error(
chalk.red(
'Error: AZURE_OPENAI_API_KEY and/or AZURE_OPENAI_ENDPOINT environment variables are missing. Please set them before using custom Azure models.'
)
);
setupSuccess = false;
return true; // Continue setup, but mark as failed
}
console.log(
chalk.blue(
`Custom Azure OpenAI model "${modelIdToSet}" will be used. No validation performed.`
)
);
} else if (selectedValue === '__CUSTOM_VERTEX__') {
isCustomSelection = true;
const { customId } = await inquirer.prompt([
{
type: 'input',
name: 'customId',
message: `Enter the custom Vertex AI Model ID for the ${role} role (e.g., gemini-1.5-pro-002):`
}
]);
if (!customId) {
console.log(chalk.yellow('No custom ID entered. Skipping role.'));
return true; // Continue setup, but don't set this role
}
modelIdToSet = customId;
providerHint = CUSTOM_PROVIDERS.VERTEX;
// Check if Google/Vertex environment variables exist
if (
!process.env.GOOGLE_API_KEY &&
!process.env.GOOGLE_APPLICATION_CREDENTIALS
) {
console.error(
chalk.red(
'Error: Either GOOGLE_API_KEY or GOOGLE_APPLICATION_CREDENTIALS environment variable is required. Please set one before using custom Vertex models.'
)
);
setupSuccess = false;
return true; // Continue setup, but mark as failed
}
console.log(
chalk.blue(
`Custom Vertex AI model "${modelIdToSet}" will be used. No validation performed.`
)
);
} else if (
selectedValue &&
typeof selectedValue === 'object' &&
@@ -3211,17 +3335,40 @@ ${result.result}
.option('-d, --description <description>', 'Project description')
.option('-v, --version <version>', 'Project version', '0.1.0') // Set default here
.option('-a, --author <author>', 'Author name')
.option(
'-r, --rules <rules...>',
'List of rules to add (roo, windsurf, cursor, ...). Accepts comma or space separated values.'
)
.option('--skip-install', 'Skip installing dependencies')
.option('--dry-run', 'Show what would be done without making changes')
.option('--aliases', 'Add shell aliases (tm, taskmaster)')
.option('--no-aliases', 'Skip shell aliases (tm, taskmaster)')
.option('--git', 'Initialize Git repository')
.option('--no-git', 'Skip Git repository initialization')
.option('--git-tasks', 'Store tasks in Git')
.option('--no-git-tasks', 'No Git storage of tasks')
.action(async (cmdOptions) => {
// cmdOptions contains parsed arguments
// Parse rules: accept space or comma separated, default to all available rules
let selectedProfiles = RULE_PROFILES;
let rulesExplicitlyProvided = false;
if (cmdOptions.rules && Array.isArray(cmdOptions.rules)) {
const userSpecifiedProfiles = cmdOptions.rules
.flatMap((r) => r.split(','))
.map((r) => r.trim())
.filter(Boolean);
// Only override defaults if user specified valid rules
if (userSpecifiedProfiles.length > 0) {
selectedProfiles = userSpecifiedProfiles;
rulesExplicitlyProvided = true;
}
}
cmdOptions.rules = selectedProfiles;
cmdOptions.rulesExplicitlyProvided = rulesExplicitlyProvided;
try {
console.log('DEBUG: Running init command action in commands.js');
console.log(
'DEBUG: Options received by action:',
JSON.stringify(cmdOptions)
);
// Directly call the initializeProject function, passing the parsed options
await initializeProject(cmdOptions);
// initializeProject handles its own flow, including potential process.exit()
@@ -3262,6 +3409,18 @@ ${result.result}
'--bedrock',
'Allow setting a custom Bedrock model ID (use with --set-*) '
)
.option(
'--claude-code',
'Allow setting a Claude Code model ID (use with --set-*)'
)
.option(
'--azure',
'Allow setting a custom Azure OpenAI model ID (use with --set-*) '
)
.option(
'--vertex',
'Allow setting a custom Vertex AI model ID (use with --set-*) '
)
.addHelpText(
'after',
`
@@ -3273,6 +3432,9 @@ Examples:
$ task-master models --set-main my-custom-model --ollama # Set custom Ollama model for main role
$ task-master models --set-main anthropic.claude-3-sonnet-20240229-v1:0 --bedrock # Set custom Bedrock model for main role
$ task-master models --set-main some/other-model --openrouter # Set custom OpenRouter model for main role
$ task-master models --set-main sonnet --claude-code # Set Claude Code model for main role
$ task-master models --set-main gpt-4o --azure # Set custom Azure OpenAI model for main role
$ task-master models --set-main claude-3-5-sonnet@20241022 --vertex # Set custom Vertex AI model for main role
$ task-master models --setup # Run interactive setup`
)
.action(async (options) => {
@@ -3285,12 +3447,13 @@ Examples:
const providerFlags = [
options.openrouter,
options.ollama,
options.bedrock
options.bedrock,
options.claudeCode
].filter(Boolean).length;
if (providerFlags > 1) {
console.error(
chalk.red(
'Error: Cannot use multiple provider flags (--openrouter, --ollama, --bedrock) simultaneously.'
'Error: Cannot use multiple provider flags (--openrouter, --ollama, --bedrock, --claude-code) simultaneously.'
)
);
process.exit(1);
@@ -3332,7 +3495,9 @@ Examples:
? 'ollama'
: options.bedrock
? 'bedrock'
: undefined
: options.claudeCode
? 'claude-code'
: undefined
});
if (result.success) {
console.log(chalk.green(`${result.data.message}`));
@@ -3354,7 +3519,9 @@ Examples:
? 'ollama'
: options.bedrock
? 'bedrock'
: undefined
: options.claudeCode
? 'claude-code'
: undefined
});
if (result.success) {
console.log(chalk.green(`${result.data.message}`));
@@ -3378,7 +3545,9 @@ Examples:
? 'ollama'
: options.bedrock
? 'bedrock'
: undefined
: options.claudeCode
? 'claude-code'
: undefined
});
if (result.success) {
console.log(chalk.green(`${result.data.message}`));
@@ -3618,6 +3787,277 @@ Examples:
}
});
// Add/remove profile rules command
programInstance
.command('rules [action] [profiles...]')
.description(
`Add or remove rules for one or more profiles. Valid actions: ${Object.values(RULES_ACTIONS).join(', ')} (e.g., task-master rules ${RULES_ACTIONS.ADD} windsurf roo)`
)
.option(
'-f, --force',
'Skip confirmation prompt when removing rules (dangerous)'
)
.option(
`--${RULES_SETUP_ACTION}`,
'Run interactive setup to select rule profiles to add'
)
.addHelpText(
'after',
`
Examples:
$ task-master rules ${RULES_ACTIONS.ADD} windsurf roo # Add Windsurf and Roo rule sets
$ task-master rules ${RULES_ACTIONS.REMOVE} windsurf # Remove Windsurf rule set
$ task-master rules --${RULES_SETUP_ACTION} # Interactive setup to select rule profiles`
)
.action(async (action, profiles, options) => {
const projectDir = process.cwd();
/**
* 'task-master rules --setup' action:
*
* Launches an interactive prompt to select which rule profiles to add to the current project.
* This does NOT perform project initialization or ask about shell aliases—only rules selection.
*
* Example usage:
* $ task-master rules --setup
*
* Useful for adding rules after project creation.
*
* The list of profiles is always up-to-date with the available profiles.
*/
if (options[RULES_SETUP_ACTION]) {
// Run interactive rules setup ONLY (no project init)
const selectedRuleProfiles = await runInteractiveProfilesSetup();
if (!selectedRuleProfiles || selectedRuleProfiles.length === 0) {
console.log(chalk.yellow('No profiles selected. Exiting.'));
return;
}
console.log(
chalk.blue(
`Installing ${selectedRuleProfiles.length} selected profile(s)...`
)
);
for (let i = 0; i < selectedRuleProfiles.length; i++) {
const profile = selectedRuleProfiles[i];
console.log(
chalk.blue(
`Processing profile ${i + 1}/${selectedRuleProfiles.length}: ${profile}...`
)
);
if (!isValidProfile(profile)) {
console.warn(
`Rule profile for "${profile}" not found. Valid profiles: ${RULE_PROFILES.join(', ')}. Skipping.`
);
continue;
}
const profileConfig = getRulesProfile(profile);
const addResult = convertAllRulesToProfileRules(
projectDir,
profileConfig
);
console.log(chalk.green(generateProfileSummary(profile, addResult)));
}
console.log(
chalk.green(
`\nCompleted installation of all ${selectedRuleProfiles.length} profile(s).`
)
);
return;
}
// Validate action for non-setup mode
if (!action || !isValidRulesAction(action)) {
console.error(
chalk.red(
`Error: Invalid or missing action '${action || 'none'}'. Valid actions are: ${Object.values(RULES_ACTIONS).join(', ')}`
)
);
console.error(
chalk.yellow(
`For interactive setup, use: task-master rules --${RULES_SETUP_ACTION}`
)
);
process.exit(1);
}
if (!profiles || profiles.length === 0) {
console.error(
'Please specify at least one rule profile (e.g., windsurf, roo).'
);
process.exit(1);
}
// Support both space- and comma-separated profile lists
const expandedProfiles = profiles
.flatMap((b) => b.split(',').map((s) => s.trim()))
.filter(Boolean);
if (action === RULES_ACTIONS.REMOVE) {
let confirmed = true;
if (!options.force) {
// Check if this removal would leave no profiles remaining
if (wouldRemovalLeaveNoProfiles(projectDir, expandedProfiles)) {
const installedProfiles = getInstalledProfiles(projectDir);
confirmed = await confirmRemoveAllRemainingProfiles(
expandedProfiles,
installedProfiles
);
} else {
confirmed = await confirmProfilesRemove(expandedProfiles);
}
}
if (!confirmed) {
console.log(chalk.yellow('Aborted: No rules were removed.'));
return;
}
}
const removalResults = [];
const addResults = [];
for (const profile of expandedProfiles) {
if (!isValidProfile(profile)) {
console.warn(
`Rule profile for "${profile}" not found. Valid profiles: ${RULE_PROFILES.join(', ')}. Skipping.`
);
continue;
}
const profileConfig = getRulesProfile(profile);
if (action === RULES_ACTIONS.ADD) {
console.log(chalk.blue(`Adding rules for profile: ${profile}...`));
const addResult = convertAllRulesToProfileRules(
projectDir,
profileConfig
);
if (typeof profileConfig.onAddRulesProfile === 'function') {
const assetsDir = path.join(process.cwd(), 'assets');
profileConfig.onAddRulesProfile(projectDir, assetsDir);
}
console.log(
chalk.blue(`Completed adding rules for profile: ${profile}`)
);
// Store result with profile name for summary
addResults.push({
profileName: profile,
success: addResult.success,
failed: addResult.failed
});
console.log(chalk.green(generateProfileSummary(profile, addResult)));
} else if (action === RULES_ACTIONS.REMOVE) {
console.log(chalk.blue(`Removing rules for profile: ${profile}...`));
const result = removeProfileRules(projectDir, profileConfig);
removalResults.push(result);
console.log(
chalk.green(generateProfileRemovalSummary(profile, result))
);
} else {
console.error(
`Unknown action. Use "${RULES_ACTIONS.ADD}" or "${RULES_ACTIONS.REMOVE}".`
);
process.exit(1);
}
}
// Print summary for additions
if (action === RULES_ACTIONS.ADD && addResults.length > 0) {
const {
allSuccessfulProfiles,
totalSuccess,
totalFailed,
simpleProfiles
} = categorizeProfileResults(addResults);
if (allSuccessfulProfiles.length > 0) {
console.log(
chalk.green(
`\nSuccessfully added rules for: ${allSuccessfulProfiles.join(', ')}`
)
);
// Create a more descriptive summary
if (totalSuccess > 0 && simpleProfiles.length > 0) {
console.log(
chalk.green(
`Total: ${totalSuccess} rules added, ${totalFailed} failed, ${simpleProfiles.length} integration guide(s) copied.`
)
);
} else if (totalSuccess > 0) {
console.log(
chalk.green(
`Total: ${totalSuccess} rules added, ${totalFailed} failed.`
)
);
} else if (simpleProfiles.length > 0) {
console.log(
chalk.green(
`Total: ${simpleProfiles.length} integration guide(s) copied.`
)
);
}
}
}
// Print summary for removals
if (action === RULES_ACTIONS.REMOVE && removalResults.length > 0) {
const {
successfulRemovals,
skippedRemovals,
failedRemovals,
removalsWithNotices
} = categorizeRemovalResults(removalResults);
if (successfulRemovals.length > 0) {
console.log(
chalk.green(
`\nSuccessfully removed profiles for: ${successfulRemovals.join(', ')}`
)
);
}
if (skippedRemovals.length > 0) {
console.log(
chalk.yellow(
`Skipped (default or protected): ${skippedRemovals.join(', ')}`
)
);
}
if (failedRemovals.length > 0) {
console.log(chalk.red('\nErrors occurred:'));
failedRemovals.forEach((r) => {
console.log(chalk.red(` ${r.profileName}: ${r.error}`));
});
}
// Display notices about preserved files/configurations
if (removalsWithNotices.length > 0) {
console.log(chalk.cyan('\nNotices:'));
removalsWithNotices.forEach((r) => {
console.log(chalk.cyan(` ${r.profileName}: ${r.notice}`));
});
}
// Overall summary
const totalProcessed = removalResults.length;
const totalSuccessful = successfulRemovals.length;
const totalSkipped = skippedRemovals.length;
const totalFailed = failedRemovals.length;
console.log(
chalk.blue(
`\nTotal: ${totalProcessed} profile(s) processed - ${totalSuccessful} removed, ${totalSkipped} skipped, ${totalFailed} failed.`
)
);
}
});
programInstance
.command('migrate')
.description(

View File

@@ -5,6 +5,12 @@ import { fileURLToPath } from 'url';
import { log, findProjectRoot, resolveEnvVariable } from './utils.js';
import { LEGACY_CONFIG_FILE } from '../../src/constants/paths.js';
import { findConfigPath } from '../../src/utils/path-utils.js';
import {
VALIDATED_PROVIDERS,
CUSTOM_PROVIDERS,
CUSTOM_PROVIDERS_ARRAY,
ALL_PROVIDERS
} from '../../src/constants/providers.js';
// Calculate __dirname in ESM
const __filename = fileURLToPath(import.meta.url);
@@ -29,9 +35,6 @@ try {
process.exit(1); // Exit if models can't be loaded
}
// Define valid providers dynamically from the loaded MODEL_MAP
const VALID_PROVIDERS = Object.keys(MODEL_MAP || {});
// Default configuration values (used if config file is missing or incomplete)
const DEFAULTS = {
models: {
@@ -51,7 +54,7 @@ const DEFAULTS = {
// No default fallback provider/model initially
provider: 'anthropic',
modelId: 'claude-3-5-sonnet',
maxTokens: 64000, // Default parameters if fallback IS configured
maxTokens: 8192, // Default parameters if fallback IS configured
temperature: 0.2
}
},
@@ -233,12 +236,25 @@ function getConfig(explicitRoot = null, forceReload = false) {
}
/**
* Validates if a provider name is in the list of supported providers.
* Validates if a provider name is supported.
* Custom providers (azure, vertex, bedrock, openrouter, ollama) are always allowed.
* Validated providers must exist in the MODEL_MAP from supported-models.json.
* @param {string} providerName The name of the provider.
* @returns {boolean} True if the provider is valid, false otherwise.
*/
function validateProvider(providerName) {
return VALID_PROVIDERS.includes(providerName);
// Custom providers are always allowed
if (CUSTOM_PROVIDERS_ARRAY.includes(providerName)) {
return true;
}
// Validated providers must exist in MODEL_MAP
if (VALIDATED_PROVIDERS.includes(providerName)) {
return !!(MODEL_MAP && MODEL_MAP[providerName]);
}
// Unknown providers are not allowed
return false;
}
/**
@@ -480,10 +496,22 @@ function getParametersForRole(role, explicitRoot = null) {
*/
function isApiKeySet(providerName, session = null, projectRoot = null) {
// Define the expected environment variable name for each provider
if (providerName?.toLowerCase() === 'ollama') {
// Providers that don't require API keys for authentication
const providersWithoutApiKeys = [
CUSTOM_PROVIDERS.OLLAMA,
CUSTOM_PROVIDERS.BEDROCK
];
if (providersWithoutApiKeys.includes(providerName?.toLowerCase())) {
return true; // Indicate key status is effectively "OK"
}
// Claude Code doesn't require an API key
if (providerName?.toLowerCase() === 'claude-code') {
return true; // No API key needed
}
const keyMap = {
openai: 'OPENAI_API_KEY',
anthropic: 'ANTHROPIC_API_KEY',
@@ -493,7 +521,9 @@ function isApiKeySet(providerName, session = null, projectRoot = null) {
azure: 'AZURE_OPENAI_API_KEY',
openrouter: 'OPENROUTER_API_KEY',
xai: 'XAI_API_KEY',
vertex: 'GOOGLE_API_KEY' // Vertex uses the same key as Google
vertex: 'GOOGLE_API_KEY', // Vertex uses the same key as Google
'claude-code': 'CLAUDE_CODE_API_KEY', // Not actually used, but included for consistency
bedrock: 'AWS_ACCESS_KEY_ID' // Bedrock uses AWS credentials
// Add other providers as needed
};
@@ -541,10 +571,11 @@ function getMcpApiKeyStatus(providerName, projectRoot = null) {
const mcpConfigRaw = fs.readFileSync(mcpConfigPath, 'utf-8');
const mcpConfig = JSON.parse(mcpConfigRaw);
const mcpEnv = mcpConfig?.mcpServers?.['taskmaster-ai']?.env;
const mcpEnv =
mcpConfig?.mcpServers?.['task-master-ai']?.env ||
mcpConfig?.mcpServers?.['taskmaster-ai']?.env;
if (!mcpEnv) {
// console.warn(chalk.yellow('Warning: Could not find taskmaster-ai env in mcp.json.'));
return false; // Structure missing
return false;
}
let apiKeyToCheck = null;
@@ -577,6 +608,8 @@ function getMcpApiKeyStatus(providerName, projectRoot = null) {
break;
case 'ollama':
return true; // No key needed
case 'claude-code':
return true; // No key needed
case 'mistral':
apiKeyToCheck = mcpEnv.MISTRAL_API_KEY;
placeholderValue = 'YOUR_MISTRAL_API_KEY_HERE';
@@ -589,6 +622,10 @@ function getMcpApiKeyStatus(providerName, projectRoot = null) {
apiKeyToCheck = mcpEnv.GOOGLE_API_KEY; // Vertex uses Google API key
placeholderValue = 'YOUR_GOOGLE_API_KEY_HERE';
break;
case 'bedrock':
apiKeyToCheck = mcpEnv.AWS_ACCESS_KEY_ID; // Bedrock uses AWS credentials
placeholderValue = 'YOUR_AWS_ACCESS_KEY_ID_HERE';
break;
default:
return false; // Unknown provider
}
@@ -636,7 +673,8 @@ function getAvailableModels() {
provider: provider,
swe_score: sweScore,
cost_per_1m_tokens: cost,
allowed_roles: allowedRoles
allowed_roles: allowedRoles,
max_tokens: modelObj.max_tokens
});
});
} else {
@@ -736,18 +774,24 @@ function getUserId(explicitRoot = null) {
}
/**
* Gets a list of all provider names defined in the MODEL_MAP.
* @returns {string[]} An array of provider names.
* Gets a list of all known provider names (both validated and custom).
* @returns {string[]} An array of all provider names.
*/
function getAllProviders() {
return Object.keys(MODEL_MAP || {});
return ALL_PROVIDERS;
}
function getBaseUrlForRole(role, explicitRoot = null) {
const roleConfig = getModelConfigForRole(role, explicitRoot);
return roleConfig && typeof roleConfig.baseURL === 'string'
? roleConfig.baseURL
: undefined;
if (roleConfig && typeof roleConfig.baseURL === 'string') {
return roleConfig.baseURL;
}
const provider = roleConfig?.provider;
if (provider) {
const envVarName = `${provider.toUpperCase()}_BASE_URL`;
return resolveEnvVariable(envVarName, null, explicitRoot);
}
return undefined;
}
export {
@@ -759,7 +803,9 @@ export {
// Validation
validateProvider,
validateProviderModelCombination,
VALID_PROVIDERS,
VALIDATED_PROVIDERS,
CUSTOM_PROVIDERS,
ALL_PROVIDERS,
MODEL_MAP,
getAvailableModels,
// Role-specific getters (No env var overrides)

View File

@@ -1,314 +0,0 @@
/**
* Rule Transformer Module
* Handles conversion of Cursor rules to Roo rules
*
* This module procedurally generates .roo/rules files from .cursor/rules files,
* eliminating the need to maintain both sets of files manually.
*/
import fs from 'fs';
import path from 'path';
import { log } from './utils.js';
// Configuration for term conversions - centralized for easier future updates
const conversionConfig = {
// Product and brand name replacements
brandTerms: [
{ from: /cursor\.so/g, to: 'roocode.com' },
{ from: /\[cursor\.so\]/g, to: '[roocode.com]' },
{ from: /href="https:\/\/cursor\.so/g, to: 'href="https://roocode.com' },
{ from: /\(https:\/\/cursor\.so/g, to: '(https://roocode.com' },
{
from: /\bcursor\b/gi,
to: (match) => (match === 'Cursor' ? 'Roo Code' : 'roo')
},
{ from: /Cursor/g, to: 'Roo Code' }
],
// File extension replacements
fileExtensions: [{ from: /\.mdc\b/g, to: '.md' }],
// Documentation URL replacements
docUrls: [
{
from: /https:\/\/docs\.cursor\.com\/[^\s)'"]+/g,
to: (match) => match.replace('docs.cursor.com', 'docs.roocode.com')
},
{ from: /https:\/\/docs\.roo\.com\//g, to: 'https://docs.roocode.com/' }
],
// Tool references - direct replacements
toolNames: {
search: 'search_files',
read_file: 'read_file',
edit_file: 'apply_diff',
create_file: 'write_to_file',
run_command: 'execute_command',
terminal_command: 'execute_command',
use_mcp: 'use_mcp_tool',
switch_mode: 'switch_mode'
},
// Tool references in context - more specific replacements
toolContexts: [
{ from: /\bsearch tool\b/g, to: 'search_files tool' },
{ from: /\bedit_file tool\b/g, to: 'apply_diff tool' },
{ from: /\buse the search\b/g, to: 'use the search_files' },
{ from: /\bThe edit_file\b/g, to: 'The apply_diff' },
{ from: /\brun_command executes\b/g, to: 'execute_command executes' },
{ from: /\buse_mcp connects\b/g, to: 'use_mcp_tool connects' },
// Additional contextual patterns for flexibility
{ from: /\bCursor search\b/g, to: 'Roo Code search_files' },
{ from: /\bCursor edit\b/g, to: 'Roo Code apply_diff' },
{ from: /\bCursor create\b/g, to: 'Roo Code write_to_file' },
{ from: /\bCursor run\b/g, to: 'Roo Code execute_command' }
],
// Tool group and category names
toolGroups: [
{ from: /\bSearch tools\b/g, to: 'Read Group tools' },
{ from: /\bEdit tools\b/g, to: 'Edit Group tools' },
{ from: /\bRun tools\b/g, to: 'Command Group tools' },
{ from: /\bMCP servers\b/g, to: 'MCP Group tools' },
{ from: /\bSearch Group\b/g, to: 'Read Group' },
{ from: /\bEdit Group\b/g, to: 'Edit Group' },
{ from: /\bRun Group\b/g, to: 'Command Group' }
],
// File references in markdown links
fileReferences: {
pathPattern: /\[(.+?)\]\(mdc:\.cursor\/rules\/(.+?)\.mdc\)/g,
replacement: (match, text, filePath) => {
// Get the base filename
const baseName = path.basename(filePath, '.mdc');
// Get the new filename (either from mapping or by replacing extension)
const newFileName = fileMap[`${baseName}.mdc`] || `${baseName}.md`;
// Return the updated link
return `[${text}](mdc:.roo/rules/${newFileName})`;
}
}
};
// File name mapping (specific files with naming changes)
const fileMap = {
'cursor_rules.mdc': 'roo_rules.md',
'dev_workflow.mdc': 'dev_workflow.md',
'self_improve.mdc': 'self_improve.md',
'taskmaster.mdc': 'taskmaster.md'
// Add other mappings as needed
};
/**
* Replace basic Cursor terms with Roo equivalents
*/
function replaceBasicTerms(content) {
let result = content;
// Apply brand term replacements
conversionConfig.brandTerms.forEach((pattern) => {
if (typeof pattern.to === 'function') {
result = result.replace(pattern.from, pattern.to);
} else {
result = result.replace(pattern.from, pattern.to);
}
});
// Apply file extension replacements
conversionConfig.fileExtensions.forEach((pattern) => {
result = result.replace(pattern.from, pattern.to);
});
return result;
}
/**
* Replace Cursor tool references with Roo tool equivalents
*/
function replaceToolReferences(content) {
let result = content;
// Basic pattern for direct tool name replacements
const toolNames = conversionConfig.toolNames;
const toolReferencePattern = new RegExp(
`\\b(${Object.keys(toolNames).join('|')})\\b`,
'g'
);
// Apply direct tool name replacements
result = result.replace(toolReferencePattern, (match, toolName) => {
return toolNames[toolName] || toolName;
});
// Apply contextual tool replacements
conversionConfig.toolContexts.forEach((pattern) => {
result = result.replace(pattern.from, pattern.to);
});
// Apply tool group replacements
conversionConfig.toolGroups.forEach((pattern) => {
result = result.replace(pattern.from, pattern.to);
});
return result;
}
/**
* Update documentation URLs to point to Roo documentation
*/
function updateDocReferences(content) {
let result = content;
// Apply documentation URL replacements
conversionConfig.docUrls.forEach((pattern) => {
if (typeof pattern.to === 'function') {
result = result.replace(pattern.from, pattern.to);
} else {
result = result.replace(pattern.from, pattern.to);
}
});
return result;
}
/**
* Update file references in markdown links
*/
function updateFileReferences(content) {
const { pathPattern, replacement } = conversionConfig.fileReferences;
return content.replace(pathPattern, replacement);
}
/**
* Main transformation function that applies all conversions
*/
function transformCursorToRooRules(content) {
// Apply all transformations in appropriate order
let result = content;
result = replaceBasicTerms(result);
result = replaceToolReferences(result);
result = updateDocReferences(result);
result = updateFileReferences(result);
// Super aggressive failsafe pass to catch any variations we might have missed
// This ensures critical transformations are applied even in contexts we didn't anticipate
// 1. Handle cursor.so in any possible context
result = result.replace(/cursor\.so/gi, 'roocode.com');
// Edge case: URL with different formatting
result = result.replace(/cursor\s*\.\s*so/gi, 'roocode.com');
result = result.replace(/https?:\/\/cursor\.so/gi, 'https://roocode.com');
result = result.replace(
/https?:\/\/www\.cursor\.so/gi,
'https://www.roocode.com'
);
// 2. Handle tool references - even partial ones
result = result.replace(/\bedit_file\b/gi, 'apply_diff');
result = result.replace(/\bsearch tool\b/gi, 'search_files tool');
result = result.replace(/\bSearch Tool\b/g, 'Search_Files Tool');
// 3. Handle basic terms (with case handling)
result = result.replace(/\bcursor\b/gi, (match) =>
match.charAt(0) === 'C' ? 'Roo Code' : 'roo'
);
result = result.replace(/Cursor/g, 'Roo Code');
result = result.replace(/CURSOR/g, 'ROO CODE');
// 4. Handle file extensions
result = result.replace(/\.mdc\b/g, '.md');
// 5. Handle any missed URL patterns
result = result.replace(/docs\.cursor\.com/gi, 'docs.roocode.com');
result = result.replace(/docs\.roo\.com/gi, 'docs.roocode.com');
return result;
}
/**
* Convert a single Cursor rule file to Roo rule format
*/
function convertCursorRuleToRooRule(sourcePath, targetPath) {
try {
log(
'info',
`Converting Cursor rule ${path.basename(sourcePath)} to Roo rule ${path.basename(targetPath)}`
);
// Read source content
const content = fs.readFileSync(sourcePath, 'utf8');
// Transform content
const transformedContent = transformCursorToRooRules(content);
// Ensure target directory exists
const targetDir = path.dirname(targetPath);
if (!fs.existsSync(targetDir)) {
fs.mkdirSync(targetDir, { recursive: true });
}
// Write transformed content
fs.writeFileSync(targetPath, transformedContent);
log(
'success',
`Successfully converted ${path.basename(sourcePath)} to ${path.basename(targetPath)}`
);
return true;
} catch (error) {
log(
'error',
`Failed to convert rule file ${path.basename(sourcePath)}: ${error.message}`
);
return false;
}
}
/**
* Process all Cursor rules and convert to Roo rules
*/
function convertAllCursorRulesToRooRules(projectDir) {
const cursorRulesDir = path.join(projectDir, '.cursor', 'rules');
const rooRulesDir = path.join(projectDir, '.roo', 'rules');
if (!fs.existsSync(cursorRulesDir)) {
log('warn', `Cursor rules directory not found: ${cursorRulesDir}`);
return { success: 0, failed: 0 };
}
// Ensure Roo rules directory exists
if (!fs.existsSync(rooRulesDir)) {
fs.mkdirSync(rooRulesDir, { recursive: true });
log('info', `Created Roo rules directory: ${rooRulesDir}`);
}
// Count successful and failed conversions
let success = 0;
let failed = 0;
// Process each file in the Cursor rules directory
fs.readdirSync(cursorRulesDir).forEach((file) => {
if (file.endsWith('.mdc')) {
const sourcePath = path.join(cursorRulesDir, file);
// Determine target file name (either from mapping or by replacing extension)
const targetFilename = fileMap[file] || file.replace('.mdc', '.md');
const targetPath = path.join(rooRulesDir, targetFilename);
// Convert the file
if (convertCursorRuleToRooRule(sourcePath, targetPath)) {
success++;
} else {
failed++;
}
}
});
log(
'info',
`Rule conversion complete: ${success} successful, ${failed} failed`
);
return { success, failed };
}
export { convertAllCursorRulesToRooRules, convertCursorRuleToRooRule };

View File

@@ -1,113 +1,213 @@
{
"bedrock": [
{
"id": "us.anthropic.claude-3-7-sonnet-20250219-v1:0",
"swe_score": 0.623,
"cost_per_1m_tokens": { "input": 3, "output": 15 },
"allowed_roles": ["main", "fallback"],
"max_tokens": 65536
},
{
"id": "us.deepseek.r1-v1:0",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 1.35, "output": 5.4 },
"allowed_roles": ["research"],
"max_tokens": 65536
}
],
"anthropic": [
{
"id": "claude-sonnet-4-20250514",
"swe_score": 0.727,
"cost_per_1m_tokens": { "input": 3.0, "output": 15.0 },
"cost_per_1m_tokens": {
"input": 3.0,
"output": 15.0
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 64000
},
{
"id": "claude-opus-4-20250514",
"swe_score": 0.725,
"cost_per_1m_tokens": { "input": 15.0, "output": 75.0 },
"cost_per_1m_tokens": {
"input": 15.0,
"output": 75.0
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 32000
},
{
"id": "claude-3-7-sonnet-20250219",
"swe_score": 0.623,
"cost_per_1m_tokens": { "input": 3.0, "output": 15.0 },
"cost_per_1m_tokens": {
"input": 3.0,
"output": 15.0
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 120000
},
{
"id": "claude-3-5-sonnet-20241022",
"swe_score": 0.49,
"cost_per_1m_tokens": { "input": 3.0, "output": 15.0 },
"cost_per_1m_tokens": {
"input": 3.0,
"output": 15.0
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 64000
"max_tokens": 8192
}
],
"azure": [
{
"id": "gpt-4o",
"swe_score": 0.332,
"cost_per_1m_tokens": {
"input": 2.5,
"output": 10.0
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 16384
},
{
"id": "gpt-4o-mini",
"swe_score": 0.3,
"cost_per_1m_tokens": {
"input": 0.15,
"output": 0.6
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 16384
},
{
"id": "gpt-4-1",
"swe_score": 0,
"cost_per_1m_tokens": {
"input": 2.0,
"output": 10.0
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 16384
}
],
"openai": [
{
"id": "gpt-4o",
"swe_score": 0.332,
"cost_per_1m_tokens": { "input": 2.5, "output": 10.0 },
"cost_per_1m_tokens": {
"input": 2.5,
"output": 10.0
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 16384
},
{
"id": "o1",
"swe_score": 0.489,
"cost_per_1m_tokens": { "input": 15.0, "output": 60.0 },
"cost_per_1m_tokens": {
"input": 15.0,
"output": 60.0
},
"allowed_roles": ["main"]
},
{
"id": "o3",
"swe_score": 0.5,
"cost_per_1m_tokens": { "input": 2.0, "output": 8.0 },
"allowed_roles": ["main", "fallback"]
"cost_per_1m_tokens": {
"input": 2.0,
"output": 8.0
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 100000
},
{
"id": "o3-mini",
"swe_score": 0.493,
"cost_per_1m_tokens": { "input": 1.1, "output": 4.4 },
"cost_per_1m_tokens": {
"input": 1.1,
"output": 4.4
},
"allowed_roles": ["main"],
"max_tokens": 100000
},
{
"id": "o4-mini",
"swe_score": 0.45,
"cost_per_1m_tokens": { "input": 1.1, "output": 4.4 },
"cost_per_1m_tokens": {
"input": 1.1,
"output": 4.4
},
"allowed_roles": ["main", "fallback"]
},
{
"id": "o1-mini",
"swe_score": 0.4,
"cost_per_1m_tokens": { "input": 1.1, "output": 4.4 },
"cost_per_1m_tokens": {
"input": 1.1,
"output": 4.4
},
"allowed_roles": ["main"]
},
{
"id": "o1-pro",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 150.0, "output": 600.0 },
"cost_per_1m_tokens": {
"input": 150.0,
"output": 600.0
},
"allowed_roles": ["main"]
},
{
"id": "gpt-4-5-preview",
"swe_score": 0.38,
"cost_per_1m_tokens": { "input": 75.0, "output": 150.0 },
"cost_per_1m_tokens": {
"input": 75.0,
"output": 150.0
},
"allowed_roles": ["main"]
},
{
"id": "gpt-4-1-mini",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.4, "output": 1.6 },
"cost_per_1m_tokens": {
"input": 0.4,
"output": 1.6
},
"allowed_roles": ["main"]
},
{
"id": "gpt-4-1-nano",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.1, "output": 0.4 },
"cost_per_1m_tokens": {
"input": 0.1,
"output": 0.4
},
"allowed_roles": ["main"]
},
{
"id": "gpt-4o-mini",
"swe_score": 0.3,
"cost_per_1m_tokens": { "input": 0.15, "output": 0.6 },
"cost_per_1m_tokens": {
"input": 0.15,
"output": 0.6
},
"allowed_roles": ["main"]
},
{
"id": "gpt-4o-search-preview",
"swe_score": 0.33,
"cost_per_1m_tokens": { "input": 2.5, "output": 10.0 },
"cost_per_1m_tokens": {
"input": 2.5,
"output": 10.0
},
"allowed_roles": ["research"]
},
{
"id": "gpt-4o-mini-search-preview",
"swe_score": 0.3,
"cost_per_1m_tokens": { "input": 0.15, "output": 0.6 },
"cost_per_1m_tokens": {
"input": 0.15,
"output": 0.6
},
"allowed_roles": ["research"]
}
],
@@ -128,15 +228,18 @@
},
{
"id": "gemini-2.5-flash-preview-04-17",
"swe_score": 0,
"swe_score": 0.604,
"cost_per_1m_tokens": null,
"allowed_roles": ["main", "fallback"],
"max_tokens": 1048000
},
{
"id": "gemini-2.0-flash",
"swe_score": 0.754,
"cost_per_1m_tokens": { "input": 0.15, "output": 0.6 },
"swe_score": 0.518,
"cost_per_1m_tokens": {
"input": 0.15,
"output": 0.6
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 1048000
},
@@ -152,35 +255,50 @@
{
"id": "sonar-pro",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 3, "output": 15 },
"cost_per_1m_tokens": {
"input": 3,
"output": 15
},
"allowed_roles": ["main", "research"],
"max_tokens": 8700
},
{
"id": "sonar",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 1, "output": 1 },
"cost_per_1m_tokens": {
"input": 1,
"output": 1
},
"allowed_roles": ["research"],
"max_tokens": 8700
},
{
"id": "deep-research",
"swe_score": 0.211,
"cost_per_1m_tokens": { "input": 2, "output": 8 },
"cost_per_1m_tokens": {
"input": 2,
"output": 8
},
"allowed_roles": ["research"],
"max_tokens": 8700
},
{
"id": "sonar-reasoning-pro",
"swe_score": 0.211,
"cost_per_1m_tokens": { "input": 2, "output": 8 },
"cost_per_1m_tokens": {
"input": 2,
"output": 8
},
"allowed_roles": ["main", "research", "fallback"],
"max_tokens": 8700
},
{
"id": "sonar-reasoning",
"swe_score": 0.211,
"cost_per_1m_tokens": { "input": 1, "output": 5 },
"cost_per_1m_tokens": {
"input": 1,
"output": 5
},
"allowed_roles": ["main", "research", "fallback"],
"max_tokens": 8700
}
@@ -190,7 +308,10 @@
"id": "grok-3",
"name": "Grok 3",
"swe_score": null,
"cost_per_1m_tokens": { "input": 3, "output": 15 },
"cost_per_1m_tokens": {
"input": 3,
"output": 15
},
"allowed_roles": ["main", "fallback", "research"],
"max_tokens": 131072
},
@@ -198,7 +319,10 @@
"id": "grok-3-fast",
"name": "Grok 3 Fast",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 5, "output": 25 },
"cost_per_1m_tokens": {
"input": 5,
"output": 25
},
"allowed_roles": ["main", "fallback", "research"],
"max_tokens": 131072
}
@@ -207,43 +331,64 @@
{
"id": "devstral:latest",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0, "output": 0 },
"cost_per_1m_tokens": {
"input": 0,
"output": 0
},
"allowed_roles": ["main", "fallback"]
},
{
"id": "qwen3:latest",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0, "output": 0 },
"cost_per_1m_tokens": {
"input": 0,
"output": 0
},
"allowed_roles": ["main", "fallback"]
},
{
"id": "qwen3:14b",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0, "output": 0 },
"cost_per_1m_tokens": {
"input": 0,
"output": 0
},
"allowed_roles": ["main", "fallback"]
},
{
"id": "qwen3:32b",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0, "output": 0 },
"cost_per_1m_tokens": {
"input": 0,
"output": 0
},
"allowed_roles": ["main", "fallback"]
},
{
"id": "mistral-small3.1:latest",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0, "output": 0 },
"cost_per_1m_tokens": {
"input": 0,
"output": 0
},
"allowed_roles": ["main", "fallback"]
},
{
"id": "llama3.3:latest",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0, "output": 0 },
"cost_per_1m_tokens": {
"input": 0,
"output": 0
},
"allowed_roles": ["main", "fallback"]
},
{
"id": "phi4:latest",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0, "output": 0 },
"cost_per_1m_tokens": {
"input": 0,
"output": 0
},
"allowed_roles": ["main", "fallback"]
}
],
@@ -251,177 +396,268 @@
{
"id": "google/gemini-2.5-flash-preview-05-20",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.15, "output": 0.6 },
"cost_per_1m_tokens": {
"input": 0.15,
"output": 0.6
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 1048576
},
{
"id": "google/gemini-2.5-flash-preview-05-20:thinking",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.15, "output": 3.5 },
"cost_per_1m_tokens": {
"input": 0.15,
"output": 3.5
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 1048576
},
{
"id": "google/gemini-2.5-pro-exp-03-25",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0, "output": 0 },
"cost_per_1m_tokens": {
"input": 0,
"output": 0
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 1000000
},
{
"id": "deepseek/deepseek-chat-v3-0324:free",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0, "output": 0 },
"cost_per_1m_tokens": {
"input": 0,
"output": 0
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 163840
},
{
"id": "deepseek/deepseek-chat-v3-0324",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.27, "output": 1.1 },
"cost_per_1m_tokens": {
"input": 0.27,
"output": 1.1
},
"allowed_roles": ["main"],
"max_tokens": 64000
},
{
"id": "openai/gpt-4.1",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 2, "output": 8 },
"cost_per_1m_tokens": {
"input": 2,
"output": 8
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 1000000
},
{
"id": "openai/gpt-4.1-mini",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.4, "output": 1.6 },
"cost_per_1m_tokens": {
"input": 0.4,
"output": 1.6
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 1000000
},
{
"id": "openai/gpt-4.1-nano",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.1, "output": 0.4 },
"cost_per_1m_tokens": {
"input": 0.1,
"output": 0.4
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 1000000
},
{
"id": "openai/o3",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 10, "output": 40 },
"cost_per_1m_tokens": {
"input": 10,
"output": 40
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 200000
},
{
"id": "openai/codex-mini",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 1.5, "output": 6 },
"cost_per_1m_tokens": {
"input": 1.5,
"output": 6
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 100000
},
{
"id": "openai/gpt-4o-mini",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.15, "output": 0.6 },
"cost_per_1m_tokens": {
"input": 0.15,
"output": 0.6
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 100000
},
{
"id": "openai/o4-mini",
"swe_score": 0.45,
"cost_per_1m_tokens": { "input": 1.1, "output": 4.4 },
"cost_per_1m_tokens": {
"input": 1.1,
"output": 4.4
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 100000
},
{
"id": "openai/o4-mini-high",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 1.1, "output": 4.4 },
"cost_per_1m_tokens": {
"input": 1.1,
"output": 4.4
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 100000
},
{
"id": "openai/o1-pro",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 150, "output": 600 },
"cost_per_1m_tokens": {
"input": 150,
"output": 600
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 100000
},
{
"id": "meta-llama/llama-3.3-70b-instruct",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 120, "output": 600 },
"cost_per_1m_tokens": {
"input": 120,
"output": 600
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 1048576
},
{
"id": "meta-llama/llama-4-maverick",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.18, "output": 0.6 },
"cost_per_1m_tokens": {
"input": 0.18,
"output": 0.6
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 1000000
},
{
"id": "meta-llama/llama-4-scout",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.08, "output": 0.3 },
"cost_per_1m_tokens": {
"input": 0.08,
"output": 0.3
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 1000000
},
{
"id": "qwen/qwen-max",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 1.6, "output": 6.4 },
"cost_per_1m_tokens": {
"input": 1.6,
"output": 6.4
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 32768
},
{
"id": "qwen/qwen-turbo",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.05, "output": 0.2 },
"cost_per_1m_tokens": {
"input": 0.05,
"output": 0.2
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 1000000
},
{
"id": "qwen/qwen3-235b-a22b",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.14, "output": 2 },
"cost_per_1m_tokens": {
"input": 0.14,
"output": 2
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 24000
},
{
"id": "mistralai/mistral-small-3.1-24b-instruct:free",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0, "output": 0 },
"cost_per_1m_tokens": {
"input": 0,
"output": 0
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 96000
},
{
"id": "mistralai/mistral-small-3.1-24b-instruct",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.1, "output": 0.3 },
"cost_per_1m_tokens": {
"input": 0.1,
"output": 0.3
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 128000
},
{
"id": "mistralai/devstral-small",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.1, "output": 0.3 },
"cost_per_1m_tokens": {
"input": 0.1,
"output": 0.3
},
"allowed_roles": ["main"],
"max_tokens": 110000
},
{
"id": "mistralai/mistral-nemo",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0.03, "output": 0.07 },
"cost_per_1m_tokens": {
"input": 0.03,
"output": 0.07
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 100000
},
{
"id": "thudm/glm-4-32b:free",
"swe_score": 0,
"cost_per_1m_tokens": { "input": 0, "output": 0 },
"cost_per_1m_tokens": {
"input": 0,
"output": 0
},
"allowed_roles": ["main", "fallback"],
"max_tokens": 32768
}
],
"claude-code": [
{
"id": "opus",
"swe_score": 0.725,
"cost_per_1m_tokens": { "input": 0, "output": 0 },
"allowed_roles": ["main", "fallback", "research"],
"max_tokens": 32000
},
{
"id": "sonnet",
"swe_score": 0.727,
"cost_per_1m_tokens": { "input": 0, "output": 0 },
"allowed_roles": ["main", "fallback", "research"],
"max_tokens": 64000
}
]
}

View File

@@ -27,7 +27,6 @@ import {
} from '../utils.js';
import { generateObjectService } from '../ai-services-unified.js';
import { getDefaultPriority } from '../config-manager.js';
import generateTaskFiles from './generate-task-files.js';
import ContextGatherer from '../utils/contextGatherer.js';
// Define Zod schema for the expected AI output object
@@ -44,7 +43,7 @@ const AiTaskDataSchema = z.object({
.describe('Detailed approach for verifying task completion'),
dependencies: z
.array(z.number())
.optional()
.nullable()
.describe(
'Array of task IDs that this task depends on (must be completed before this task can start)'
)

View File

@@ -32,7 +32,12 @@ async function expandAllTasks(
context = {},
outputFormat = 'text' // Assume text default for CLI
) {
const { session, mcpLog, projectRoot: providedProjectRoot } = context;
const {
session,
mcpLog,
projectRoot: providedProjectRoot,
tag: contextTag
} = context;
const isMCPCall = !!mcpLog; // Determine if called from MCP
const projectRoot = providedProjectRoot || findProjectRoot();
@@ -74,7 +79,7 @@ async function expandAllTasks(
try {
logger.info(`Reading tasks from ${tasksPath}`);
const data = readJSON(tasksPath, projectRoot);
const data = readJSON(tasksPath, projectRoot, contextTag);
if (!data || !data.tasks) {
throw new Error(`Invalid tasks data in ${tasksPath}`);
}
@@ -124,7 +129,7 @@ async function expandAllTasks(
numSubtasks,
useResearch,
additionalContext,
{ ...context, projectRoot }, // Pass the whole context object with projectRoot
{ ...context, projectRoot, tag: data.tag || contextTag }, // Pass the whole context object with projectRoot and resolved tag
force
);
expandedCount++;

View File

@@ -43,8 +43,9 @@ const subtaskSchema = z
),
testStrategy: z
.string()
.optional()
.nullable()
.describe('Approach for testing this subtask')
.default('')
})
.strict();
const subtaskArraySchema = z.array(subtaskSchema);
@@ -417,7 +418,7 @@ async function expandTask(
context = {},
force = false
) {
const { session, mcpLog, projectRoot: contextProjectRoot } = context;
const { session, mcpLog, projectRoot: contextProjectRoot, tag } = context;
const outputFormat = mcpLog ? 'json' : 'text';
// Determine projectRoot: Use from context if available, otherwise derive from tasksPath
@@ -439,7 +440,7 @@ async function expandTask(
try {
// --- Task Loading/Filtering (Unchanged) ---
logger.info(`Reading tasks from ${tasksPath}`);
const data = readJSON(tasksPath, projectRoot);
const data = readJSON(tasksPath, projectRoot, tag);
if (!data || !data.tasks)
throw new Error(`Invalid tasks data in ${tasksPath}`);
const taskIndex = data.tasks.findIndex(
@@ -668,7 +669,7 @@ async function expandTask(
// --- End Change: Append instead of replace ---
data.tasks[taskIndex] = task; // Assign the modified task back
writeJSON(tasksPath, data);
writeJSON(tasksPath, data, projectRoot, tag);
// await generateTaskFiles(tasksPath, path.dirname(tasksPath));
// Display AI Usage Summary for CLI

View File

@@ -23,6 +23,7 @@ import {
} from '../config-manager.js';
import { findConfigPath } from '../../../src/utils/path-utils.js';
import { log } from '../utils.js';
import { CUSTOM_PROVIDERS } from '../../../src/constants/providers.js';
/**
* Fetches the list of models from OpenRouter API.
@@ -424,7 +425,7 @@ async function setModel(role, modelId, options = {}) {
let warningMessage = null;
// Find the model data in internal list initially to see if it exists at all
const modelData = availableModels.find((m) => m.id === modelId);
let modelData = availableModels.find((m) => m.id === modelId);
// --- Revised Logic: Prioritize providerHint --- //
@@ -440,7 +441,7 @@ async function setModel(role, modelId, options = {}) {
} else {
// Either not found internally, OR found but under a DIFFERENT provider than hinted.
// Proceed with custom logic based ONLY on the hint.
if (providerHint === 'openrouter') {
if (providerHint === CUSTOM_PROVIDERS.OPENROUTER) {
// Check OpenRouter ONLY because hint was openrouter
report('info', `Checking OpenRouter for ${modelId} (as hinted)...`);
const openRouterModels = await fetchOpenRouterModels();
@@ -449,7 +450,7 @@ async function setModel(role, modelId, options = {}) {
openRouterModels &&
openRouterModels.some((m) => m.id === modelId)
) {
determinedProvider = 'openrouter';
determinedProvider = CUSTOM_PROVIDERS.OPENROUTER;
// Check if this is a free model (ends with :free)
if (modelId.endsWith(':free')) {
@@ -465,7 +466,7 @@ async function setModel(role, modelId, options = {}) {
`Model ID "${modelId}" not found in the live OpenRouter model list. Please verify the ID and ensure it's available on OpenRouter.`
);
}
} else if (providerHint === 'ollama') {
} else if (providerHint === CUSTOM_PROVIDERS.OLLAMA) {
// Check Ollama ONLY because hint was ollama
report('info', `Checking Ollama for ${modelId} (as hinted)...`);
@@ -479,7 +480,7 @@ async function setModel(role, modelId, options = {}) {
`Unable to connect to Ollama server at ${ollamaBaseURL}. Please ensure Ollama is running and try again.`
);
} else if (ollamaModels.some((m) => m.model === modelId)) {
determinedProvider = 'ollama';
determinedProvider = CUSTOM_PROVIDERS.OLLAMA;
warningMessage = `Warning: Custom Ollama model '${modelId}' set. Ensure your Ollama server is running and has pulled this model. Taskmaster cannot guarantee compatibility.`;
report('warn', warningMessage);
} else {
@@ -489,13 +490,41 @@ async function setModel(role, modelId, options = {}) {
`Model ID "${modelId}" not found in the Ollama instance. Please verify the model is pulled and available. You can check available models with: curl ${tagsUrl}`
);
}
} else if (providerHint === 'bedrock') {
} else if (providerHint === CUSTOM_PROVIDERS.BEDROCK) {
// Set provider without model validation since Bedrock models are managed by AWS
determinedProvider = 'bedrock';
determinedProvider = CUSTOM_PROVIDERS.BEDROCK;
warningMessage = `Warning: Custom Bedrock model '${modelId}' set. Please ensure the model ID is valid and accessible in your AWS account.`;
report('warn', warningMessage);
} else if (providerHint === CUSTOM_PROVIDERS.CLAUDE_CODE) {
// Claude Code provider - check if model exists in our list
determinedProvider = CUSTOM_PROVIDERS.CLAUDE_CODE;
// Re-find modelData specifically for claude-code provider
const claudeCodeModels = availableModels.filter(
(m) => m.provider === 'claude-code'
);
const claudeCodeModelData = claudeCodeModels.find(
(m) => m.id === modelId
);
if (claudeCodeModelData) {
// Update modelData to the found claude-code model
modelData = claudeCodeModelData;
report('info', `Setting Claude Code model '${modelId}'.`);
} else {
warningMessage = `Warning: Claude Code model '${modelId}' not found in supported models. Setting without validation.`;
report('warn', warningMessage);
}
} else if (providerHint === CUSTOM_PROVIDERS.AZURE) {
// Set provider without model validation since Azure models are managed by Azure
determinedProvider = CUSTOM_PROVIDERS.AZURE;
warningMessage = `Warning: Custom Azure model '${modelId}' set. Please ensure the model deployment is valid and accessible in your Azure account.`;
report('warn', warningMessage);
} else if (providerHint === CUSTOM_PROVIDERS.VERTEX) {
// Set provider without model validation since Vertex models are managed by Google Cloud
determinedProvider = CUSTOM_PROVIDERS.VERTEX;
warningMessage = `Warning: Custom Vertex AI model '${modelId}' set. Please ensure the model is valid and accessible in your Google Cloud project.`;
report('warn', warningMessage);
} else {
// Invalid provider hint - should not happen
// Invalid provider hint - should not happen with our constants
throw new Error(`Invalid provider hint received: ${providerHint}`);
}
}
@@ -514,7 +543,7 @@ async function setModel(role, modelId, options = {}) {
success: false,
error: {
code: 'MODEL_NOT_FOUND_NO_HINT',
message: `Model ID "${modelId}" not found in Taskmaster's supported models. If this is a custom model, please specify the provider using --openrouter or --ollama.`
message: `Model ID "${modelId}" not found in Taskmaster's supported models. If this is a custom model, please specify the provider using --openrouter, --ollama, --bedrock, --azure, or --vertex.`
}
};
}
@@ -536,11 +565,16 @@ async function setModel(role, modelId, options = {}) {
// Update configuration
currentConfig.models[role] = {
...currentConfig.models[role], // Keep existing params like maxTokens
...currentConfig.models[role], // Keep existing params like temperature
provider: determinedProvider,
modelId: modelId
};
// If model data is available, update maxTokens from supported-models.json
if (modelData && modelData.max_tokens) {
currentConfig.models[role].maxTokens = modelData.max_tokens;
}
// Write updated configuration
const writeResult = writeConfig(currentConfig, projectRoot);
if (!writeResult) {

View File

@@ -26,11 +26,11 @@ const prdSingleTaskSchema = z.object({
id: z.number().int().positive(),
title: z.string().min(1),
description: z.string().min(1),
details: z.string().optional().default(''),
testStrategy: z.string().optional().default(''),
priority: z.enum(['high', 'medium', 'low']).default('medium'),
dependencies: z.array(z.number().int().positive()).optional().default([]),
status: z.string().optional().default('pending')
details: z.string().nullable(),
testStrategy: z.string().nullable(),
priority: z.enum(['high', 'medium', 'low']).nullable(),
dependencies: z.array(z.number().int().positive()).nullable(),
status: z.string().nullable()
});
// Define the Zod schema for the ENTIRE expected AI response object

View File

@@ -36,10 +36,27 @@ const updatedTaskSchema = z
description: z.string(),
status: z.string(),
dependencies: z.array(z.union([z.number().int(), z.string()])),
priority: z.string().optional(),
details: z.string().optional(),
testStrategy: z.string().optional(),
subtasks: z.array(z.any()).optional()
priority: z.string().nullable().default('medium'),
details: z.string().nullable().default(''),
testStrategy: z.string().nullable().default(''),
subtasks: z
.array(
z.object({
id: z
.number()
.int()
.positive()
.describe('Sequential subtask ID starting from 1'),
title: z.string(),
description: z.string(),
status: z.string(),
dependencies: z.array(z.number().int()).nullable().default([]),
details: z.string().nullable().default(''),
testStrategy: z.string().nullable().default('')
})
)
.nullable()
.default([])
})
.strip(); // Allows parsing even if AI adds extra fields, but validation focuses on schema
@@ -441,6 +458,8 @@ Guidelines:
9. Instead, add a new subtask that clearly indicates what needs to be changed or replaced
10. Use the existence of completed subtasks as an opportunity to make new subtasks more specific and targeted
11. Ensure any new subtasks have unique IDs that don't conflict with existing ones
12. CRITICAL: For subtask IDs, use ONLY numeric values (1, 2, 3, etc.) NOT strings ("1", "2", "3")
13. CRITICAL: Subtask IDs should start from 1 and increment sequentially (1, 2, 3...) - do NOT use parent task ID as prefix
The changes described in the prompt should be thoughtfully applied to make the task more accurate and actionable.`;
@@ -573,6 +592,37 @@ The changes described in the prompt should be thoughtfully applied to make the t
);
updatedTask.status = taskToUpdate.status;
}
// Fix subtask IDs if they exist (ensure they are numeric and sequential)
if (updatedTask.subtasks && Array.isArray(updatedTask.subtasks)) {
let currentSubtaskId = 1;
updatedTask.subtasks = updatedTask.subtasks.map((subtask) => {
// Fix AI-generated subtask IDs that might be strings or use parent ID as prefix
const correctedSubtask = {
...subtask,
id: currentSubtaskId, // Override AI-generated ID with correct sequential ID
dependencies: Array.isArray(subtask.dependencies)
? subtask.dependencies
.map((dep) =>
typeof dep === 'string' ? parseInt(dep, 10) : dep
)
.filter(
(depId) =>
!Number.isNaN(depId) &&
depId >= 1 &&
depId < currentSubtaskId
)
: [],
status: subtask.status || 'pending'
};
currentSubtaskId++;
return correctedSubtask;
});
report(
'info',
`Fixed ${updatedTask.subtasks.length} subtask IDs to be sequential numeric IDs.`
);
}
// Preserve completed subtasks (Keep existing logic)
if (taskToUpdate.subtasks?.length > 0) {
if (!updatedTask.subtasks) {

View File

@@ -35,10 +35,10 @@ const updatedTaskSchema = z
description: z.string(),
status: z.string(),
dependencies: z.array(z.union([z.number().int(), z.string()])),
priority: z.string().optional(),
details: z.string().optional(),
testStrategy: z.string().optional(),
subtasks: z.array(z.any()).optional() // Keep subtasks flexible for now
priority: z.string().nullable(),
details: z.string().nullable(),
testStrategy: z.string().nullable(),
subtasks: z.array(z.any()).nullable() // Keep subtasks flexible for now
})
.strip(); // Allow potential extra fields during parsing if needed, then validate structure
const updatedTaskArraySchema = z.array(updatedTaskSchema);

View File

@@ -73,7 +73,7 @@ function resolveEnvVariable(key, session = null, projectRoot = null) {
*/
function findProjectRoot(
startDir = process.cwd(),
markers = ['package.json', '.git', LEGACY_CONFIG_FILE]
markers = ['package.json', 'pyproject.toml', '.git', LEGACY_CONFIG_FILE]
) {
let currentPath = path.resolve(startDir);
const rootPath = path.parse(currentPath).root;

View File

@@ -349,6 +349,25 @@ function getCurrentBranchSync(projectRoot) {
}
}
/**
* Check if the current working directory is inside a Git work-tree.
* Uses `git rev-parse --is-inside-work-tree` which is more specific than --git-dir
* for detecting work-trees (excludes bare repos and .git directories).
* This is ideal for preventing accidental git init in existing work-trees.
* @returns {boolean} True if inside a Git work-tree, false otherwise.
*/
function insideGitWorkTree() {
try {
execSync('git rev-parse --is-inside-work-tree', {
stdio: 'ignore',
cwd: process.cwd()
});
return true;
} catch {
return false;
}
}
// Export all functions
export {
isGitRepository,
@@ -366,5 +385,6 @@ export {
checkAndAutoSwitchGitTag,
checkAndAutoSwitchGitTagSync,
isGitRepositorySync,
getCurrentBranchSync
getCurrentBranchSync,
insideGitWorkTree
};

View File

@@ -21,18 +21,10 @@ export class BedrockAIProvider extends BaseAIProvider {
*/
getClient(params) {
try {
const {
profile = process.env.AWS_PROFILE || 'default',
region = process.env.AWS_DEFAULT_REGION || 'us-east-1',
baseURL
} = params;
const credentialProvider = fromNodeProviderChain({ profile });
const credentialProvider = fromNodeProviderChain();
return createAmazonBedrock({
region,
credentialProvider,
...(baseURL && { baseURL })
credentialProvider
});
} catch (error) {
this.handleError('client initialization', error);

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