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Author SHA1 Message Date
Ralph Khreish
83c0eec982 feat: experimental, bundle our commands into bins in order to be able to remove --package 2025-06-20 19:45:57 +03:00
Joe Danziger
a2a3229fd0 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
2025-06-20 17:58:50 +02:00
Joe Danziger
b592dff8bc Rename Roo Code "Boomerang" role to "Orchestrator" (#831) 2025-06-20 17:20:14 +03:00
Ralph Khreish
e9d1bc2385 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>
2025-06-20 16:18:03 +02:00
V4G4X
030694bb96 readme: add troubleshooting note for MCP tools not working 2025-06-20 15:28:00 +02:00
github-actions[bot]
3e0f696c49 docs: Auto-update and format models.md 2025-06-20 13:25:33 +00:00
Ben Vargas
4b0c9d9af6 chore: add changeset for Claude Code provider feature 2025-06-20 16:25:22 +03:00
Ben Vargas
3fa91f56e5 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".
2025-06-20 16:25:22 +03:00
Ben Vargas
e69ac5d5cf style: apply biome formatting to test files 2025-06-20 16:25:22 +03:00
Ben Vargas
c60c9354a4 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.
2025-06-20 16:25:22 +03:00
Ben Vargas
30b895be2c 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
2025-06-20 16:25:22 +03:00
Ben Vargas
9995075093 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.
2025-06-20 16:25:22 +03:00
Ben Vargas
b62cb1bbe7 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.
2025-06-20 16:25:22 +03:00
Ben Vargas
7defcba465 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
2025-06-20 16:25:22 +03:00
Ben Vargas
3e838ed34b 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.
2025-06-20 16:25:22 +03:00
ejones40
1b8c320c57 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>
2025-06-20 15:15:13 +02:00
Ralph Khreish
5da5b59bde 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>
2025-06-20 15:12:40 +02:00
Ralph Khreish
04f44a2d3d chore: fix package.json 2025-06-20 16:10:52 +03:00
github-actions[bot]
36fe838fd5 Version Packages 2025-06-20 16:10:52 +03:00
github-actions[bot]
415b1835d4 docs: Auto-update and format models.md 2025-06-20 13:05:31 +00:00
Ralph Khreish
78112277b3 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>
2025-06-20 15:05:20 +02:00
Ralph Khreish
2bb4260966 fix: Fix external provider support (#726) 2025-06-20 14:59:53 +02:00
Nathan Marley
3a2325a963 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>
2025-06-20 14:12:36 +02:00
Ralph Khreish
1bd6d4f246 fix: providers config for azure, bedrock, and vertex (#822)
* fix: providers config for azure, bedrock, and vertex

* chore: improve changelog

* chore: fix CI
2025-06-20 13:13:53 +02:00
Joe Danziger
a09a2d0967 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>
2025-06-20 10:09:36 +02:00
github-actions[bot]
02e0db09df docs: Auto-update and format models.md 2025-06-20 07:59:03 +00:00
Riccardo (Ricky) Esclapon
3bcce8d70e Update SWE scores (#657) 2025-06-20 09:58:53 +02:00
Bartu OZEL
636fb3f680 docs: Update configuration.md (#782) 2025-06-16 20:12:54 +02:00
Ralph Khreish
8cde6c2708 fix(contextGatherer): cannot read properties of undefined reading forEach (#789) 2025-06-16 10:32:34 +02:00
Ralph Khreish
246acd1035 Merge Release 0.17.0 pull request #780 from eyaltoledano/changeset-release/main
Version Packages
2025-06-15 03:16:16 +02:00
Ralph Khreish
de5acbc6c9 chore: fix formatting 2025-06-15 04:12:13 +03:00
Ralph Khreish
664eb5b896 cleanup release 2025-06-15 04:10:51 +03:00
github-actions[bot]
dbaf492bdb Version Packages 2025-06-15 00:59:24 +00:00
Ralph Khreish
0c8a0b81a0 Merge pull request #779 from eyaltoledano/next
Release 0.17.0
2025-06-15 02:59:01 +02:00
github-actions[bot]
46d4f273f5 docs: Auto-update and format models.md 2025-06-15 00:50:10 +00:00
github-actions[bot]
aa7396d65e Version Packages 2025-06-15 03:47:56 +03:00
Eyal Toledano
5119cd2d8e v017 polish (#778)
* fix(research, tasks): Make research command and task updates tag-aware

* refactor(tasks): Prevent automatic task file generation across other locations

This commit refactors several core task management functions to prevent them from automatically regenerating individual task files after modifying the main `tasks.json`.

Previously, operations like `add-task`, `clear-subtasks`, `expand-task`, and `update-task-by-id` would immediately trigger `generateTaskFiles`. This could be slow and was often unnecessary.

The calls to `generateTaskFiles` have been removed or commented out from the core task functions. Users should now run `task-master generate` explicitly to update their individual task files.

Additionally, this commit includes fixes to the `move` command to make it fully tag-aware.

* fix: move and clear subtasks mcp commands

* chore: fix format

* chore: fix unit tests

---------

Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
2025-06-15 03:47:56 +03:00
github-actions[bot]
44eba3f7d1 chore: rc version bump 2025-06-15 03:47:56 +03:00
Eyal Toledano
e82b093dce docs: Update taskmaster.mdc and dev_workflow.mdc with missing CLI fla… (#775)
* docs: Update taskmaster.mdc and dev_workflow.mdc with missing CLI flags and enhanced workflow guidance

- Add missing --tag flags to commands that were implemented but not documented
- Add missing --file flags to tag management commands
- Add --bedrock flag to models command documentation
- Synchronize CLI documentation with actual implementation in commands.js
- Enhance dev_workflow.mdc with comprehensive tagged task lists guidance
- Add patterns for when to introduce tags (git branching, team collaboration, experiments)
- Consolidate and refine changesets for upcoming release

* chore: package-lock fixup

* chore: fix format

---------

Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
2025-06-15 03:47:56 +03:00
Ralph Khreish
ad3acd874d chore: rc version bump (#776)
* Version Packages

* chore: update package-lock.json

* chore: fix format

---------

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Eyal Toledano <eyal@microangel.so>
2025-06-15 03:47:56 +03:00
github-actions[bot]
52022d370b chore: rc version bump 2025-06-15 03:47:56 +03:00
Eyal Toledano
957af5253b chore: v017 linting (#773) 2025-06-15 03:47:28 +03:00
Ralph Khreish
c0b3f432a6 chore: v0.17 features and improvements (#771)
* chore: task management and small bug fix.

* chore: task management

* feat: implement research command with enhanced context gathering - Add comprehensive research command with AI-powered queries - Implement ContextGatherer utility for reusable context extraction - Support multiple context types: tasks, files, custom text, project tree - Add fuzzy search integration for automatic task discovery - Implement detailed token breakdown display with syntax highlighting - Add enhanced UI with boxed output and code block formatting - Support different detail levels (low, medium, high) for responses - Include project-specific context for more relevant AI responses - Add token counting with gpt-tokens library integration - Create reusable patterns for future context-aware commands - Task 94.4 completed

* docs: add context gathering rule and update existing rules

- Create comprehensive context_gathering.mdc rule documenting ContextGatherer utility patterns, FuzzyTaskSearch integration, token breakdown display, code block syntax highlighting, and enhanced result display patterns
- Update new_features.mdc to include context gathering step
- Update commands.mdc with context-aware command pattern
- Update ui.mdc with enhanced display patterns and syntax highlighting
- Update utilities.mdc to document new context gathering utilities
- Update glossary.mdc to include new context_gathering rule
- Establishes standardized patterns for building intelligent, context-aware commands that can leverage project knowledge for better AI assistance

* feat(fuzzy): improves fuzzy search to introspect into subtasks as well. might still need improvement.

* fix(move): adjusts logic to prevent an issue when moving from parent to subtask if the target parent has no subtasks.

* fix(move-task): Fix critical bugs in task move functionality

- Fixed parent-to-parent task moves where original task would remain as duplicate
- Fixed moving tasks to become subtasks of empty parents (validation errors)
- Fixed moving subtasks between different parent tasks
- Improved comma-separated batch moves with proper error handling
- Updated MCP tool to use core logic instead of custom implementation
- Resolves task duplication issues and enables proper task hierarchy reorganization

* feat(research): Add subtasks to fuzzy search and follow-up questions

- Enhanced fuzzy search to include subtasks in discovery - Added interactive follow-up question functionality using inquirer
- Improved context discovery by including both tasks and subtasks
- Follow-up option for research with default to 'n' for quick workflow

* chore: removes task004 chat that had like 11k lines lol.

* chore: formatting

* feat(show): add comma-separated ID support for multi-task viewing

- Enhanced get-task/show command to support comma-separated task IDs for efficient batch operations.
- New features include multiple task retrieval, smart display logic, interactive action menu with batch operations, MCP array response for AI agent efficiency, and support for mixed parent tasks and subtasks.
- Implementation includes updated CLI show command, enhanced MCP get_task tool, modified showTaskDirect function, and maintained full backward compatibility.
- Documentation updated across all relevant files.

Benefits include faster context gathering for AI agents, improved workflow with interactive batch operations, better UX with responsive layout, and enhanced API efficiency.

* feat(research): Adds MCP tool for  command

- New MCP Tool: research tool enables AI-powered research with project context
- Context Integration: Supports task IDs, file paths, custom context, and project tree
- Fuzzy Task Discovery: Automatically finds relevant tasks using semantic search
- Token Management: Detailed token counting and breakdown by context type
- Multiple Detail Levels: Support for low, medium, and high detail research responses
- Telemetry Integration: Full cost tracking and usage analytics
- Direct Function: researchDirect with comprehensive parameter validation
- Silent Mode: Prevents console output interference with MCP JSON responses
- Error Handling: Robust error handling with proper MCP response formatting

This completes subtasks 94.5 (Direct Function) and 94.6 (MCP Tool) for the research command implementation, providing a powerful research interface for integrated development environments like Cursor.

Updated documentation across taskmaster.mdc, README.md, command-reference.md, examples.md, tutorial.md, and docs/README.md to highlight research capabilities and usage patterns.

* chore: task management

* chore: task management and removes mistakenly staged changes

* fix(move): Fix move command bug that left duplicate tasks

- Fixed logic in moveTaskToNewId function that was incorrectly treating task-to-task moves as subtask creation instead of task replacement
- Updated moveTaskToNewId to properly handle replacing existing destination tasks instead of just placeholders
- The move command now correctly replaces destination tasks and cleans up properly without leaving duplicates

- Task Management: Moved task 93 (Google Vertex AI Provider) to position 88, Moved task 94 (Azure OpenAI Provider) to position 89, Updated task dependencies and regenerated task files, Cleaned up orphaned task files automatically
- All important validations remain in place: Prevents moving tasks to themselves, Prevents moving parent tasks to their own subtasks, Prevents circular dependencies
- Resolves the issue where moving tasks would leave both source and destination tasks in tasks.json and file system

* chore: formatting

* feat: Add .taskmaster directory (#619)

* chore: apply requested changes from next branch (#629)

* chore: rc version bump

* chore: cleanup migration-guide

* fix: bedrock set model and other fixes (#641)

* Fix: MCP log errors (#648)

* fix: projectRoot duplicate .taskmaster directory (#655)

* Version Packages

* chore: add package-lock.json

* Version Packages

* Version Packages

* fix: markdown format (#622)

* Version Packages

* Version Packages

* Fixed the Typo in cursor rules Issue:#675 (#677)

Fixed the typo in the Api keys

* Add one-click MCP server installation for Cursor (#671)

* Update README.md - Remove trailing commas (#673)

JSON doesn't allow for trailing commas, so these need to be removed in order for this to work

* chore: rc version bump

* fix: findTasksPath function

* fix: update MCP tool

* feat(ui): replace emoji complexity indicators with clean filled circle characters

Replace 🟢, 🟡, 🔴 emojis with ● character in getComplexityWithColor function

Update corresponding unit tests to expect ● instead of emojis

Improves UI continuity

* fix(ai-providers): change generateObject mode from 'tool' to 'auto' for better provider compatibility

Fixes Perplexity research role failing with 'tool-mode object generation' error

The hardcoded 'tool' mode was incompatible with providers like Perplexity that support structured JSON output but not function calling/tool use

Using 'auto' mode allows the AI SDK to choose the best approach for each provider

* Adds qwen3-235n-a22b:free to supported models. Closes #687)

* chore: adds a warning when custom openrouter model is a free model which suffers from lower rate limits, restricted context, and, worst of all, no access to tool_use.

* refactor: enhance add-task fuzzy search and fix duplicate banner display

- **Remove hardcoded category system** in add-task that always matched 'Task management'
- **Eliminate arbitrary limits** in fuzzy search results (5→25 high relevance, 3→10 medium relevance, 8→20 detailed tasks)
- **Improve semantic weighting** in Fuse.js search (details=3, description=2, title=1.5) for better relevance
- **Fix duplicate banner issue** by removing console.clear() and redundant displayBanner() calls from UI functions
- **Enhance context generation** to rely on semantic similarity rather than rigid pattern matching
- **Preserve terminal history** to address GitHub issue #553 about eating terminal lines
- **Remove displayBanner() calls** from: displayHelp, displayNextTask, displayTaskById, displayComplexityReport, set-task-status, clear-subtasks, dependency-manager functions

The add-task system now provides truly relevant task context based on semantic similarity rather than arbitrary categories and limits, while maintaining a cleaner terminal experience.

Changes span: add-task.js, ui.js, set-task-status.js, clear-subtasks.js, list-tasks.js, dependency-manager.js

Closes #553

* chore: changeset

* chore: passes tests and linting

* chore: more linting

* ninja(sync): add sync-readme command for GitHub README export with UTM tracking and professional markdown formatting. Experimental

* chore: changeset adjustment

* docs: Auto-update and format models.md

* chore: updates readme with npm download badges and mentions AI Jason who is joining the taskmaster core team.

* chore: fixes urls in readme npm packages

* chore: fixes urls in readme npm packages again

* fix: readme typo

* readme: fix twitter urls.

* readme: removes the taskmaster list output which is too overwhelming given its size with subtasks. may re-add later. fixes likely issues in the json for manual config in cursor and windsurf in the readme.

* chore: small readme nitpicks

* chore: adjusts changeset from minor to patch to avoid version bump to 0.17

* readme: moves up the documentation links higher up in the readme. same with the cursor one-click install.

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

* solve merge conflics with next. not gonna deal with these much longer.

* chore: update task files during rebase

* chore: task management

* feat: implement research command with enhanced context gathering - Add comprehensive research command with AI-powered queries - Implement ContextGatherer utility for reusable context extraction - Support multiple context types: tasks, files, custom text, project tree - Add fuzzy search integration for automatic task discovery - Implement detailed token breakdown display with syntax highlighting - Add enhanced UI with boxed output and code block formatting - Support different detail levels (low, medium, high) for responses - Include project-specific context for more relevant AI responses - Add token counting with gpt-tokens library integration - Create reusable patterns for future context-aware commands - Task 94.4 completed

* fix(move): adjusts logic to prevent an issue when moving from parent to subtask if the target parent has no subtasks.

* fix(move-task): Fix critical bugs in task move functionality

- Fixed parent-to-parent task moves where original task would remain as duplicate
- Fixed moving tasks to become subtasks of empty parents (validation errors)
- Fixed moving subtasks between different parent tasks
- Improved comma-separated batch moves with proper error handling
- Updated MCP tool to use core logic instead of custom implementation
- Resolves task duplication issues and enables proper task hierarchy reorganization

* chore: removes task004 chat that had like 11k lines lol.

* feat(show): add comma-separated ID support for multi-task viewing

- Enhanced get-task/show command to support comma-separated task IDs for efficient batch operations.
- New features include multiple task retrieval, smart display logic, interactive action menu with batch operations, MCP array response for AI agent efficiency, and support for mixed parent tasks and subtasks.
- Implementation includes updated CLI show command, enhanced MCP get_task tool, modified showTaskDirect function, and maintained full backward compatibility.
- Documentation updated across all relevant files.

Benefits include faster context gathering for AI agents, improved workflow with interactive batch operations, better UX with responsive layout, and enhanced API efficiency.

* feat(research): Adds MCP tool for  command

- New MCP Tool: research tool enables AI-powered research with project context
- Context Integration: Supports task IDs, file paths, custom context, and project tree
- Fuzzy Task Discovery: Automatically finds relevant tasks using semantic search
- Token Management: Detailed token counting and breakdown by context type
- Multiple Detail Levels: Support for low, medium, and high detail research responses
- Telemetry Integration: Full cost tracking and usage analytics
- Direct Function: researchDirect with comprehensive parameter validation
- Silent Mode: Prevents console output interference with MCP JSON responses
- Error Handling: Robust error handling with proper MCP response formatting

This completes subtasks 94.5 (Direct Function) and 94.6 (MCP Tool) for the research command implementation, providing a powerful research interface for integrated development environments like Cursor.

Updated documentation across taskmaster.mdc, README.md, command-reference.md, examples.md, tutorial.md, and docs/README.md to highlight research capabilities and usage patterns.

* chore: task management

* fix(move): Fix move command bug that left duplicate tasks

- Fixed logic in moveTaskToNewId function that was incorrectly treating task-to-task moves as subtask creation instead of task replacement
- Updated moveTaskToNewId to properly handle replacing existing destination tasks instead of just placeholders
- The move command now correctly replaces destination tasks and cleans up properly without leaving duplicates

- Task Management: Moved task 93 (Google Vertex AI Provider) to position 88, Moved task 94 (Azure OpenAI Provider) to position 89, Updated task dependencies and regenerated task files, Cleaned up orphaned task files automatically
- All important validations remain in place: Prevents moving tasks to themselves, Prevents moving parent tasks to their own subtasks, Prevents circular dependencies
- Resolves the issue where moving tasks would leave both source and destination tasks in tasks.json and file system

* chore: moves to new task master config setup

* feat: add comma-separated status filtering to list-tasks

- supports multiple statuses like 'blocked,deferred' with comprehensive test coverage and backward compatibility

- also adjusts biome.json to stop bitching about templating.

* chore: linting ffs

* fix(generate): Fix generate command creating tasks in legacy location

- Update generate command default output directory from 'tasks' to '.taskmaster/tasks'
- Fix path.dirname() usage to properly derive output directory from tasks file location
- Update MCP tool description and documentation to reflect new structure
- Disable Biome linting rules for noUnusedTemplateLiteral and useArrowFunction
- Fixes issue where generate command was creating task files in the old 'tasks/' directory instead of the new '.taskmaster/tasks/' structure after the refactor

* chore: task management

* chore: task management some more

* fix(get-task): makes the projectRoot argument required to prevent errors when getting tasks.

* feat(tags): Implement tagged task lists migration system (Part 1/2)

This commit introduces the foundational infrastructure for tagged task lists,
enabling multi-context task management without remote storage to prevent merge conflicts.

CORE ARCHITECTURE:
• Silent migration system transforms tasks.json from old format { "tasks": [...] }
  to new tagged format { "master": { "tasks": [...] } }
• Tag resolution layer provides complete backward compatibility - existing code continues to work
• Automatic configuration and state management for seamless user experience

SILENT MIGRATION SYSTEM:
• Automatic detection and migration of legacy tasks.json format
• Complete project migration: tasks.json + config.json + state.json
• Transparent tag resolution returns old format to maintain compatibility
• Zero breaking changes - all existing functionality preserved

CONFIGURATION MANAGEMENT:
• Added global.defaultTag setting (defaults to 'master')
• New tags section with gitIntegration placeholders for future features
• Automatic config.json migration during first run
• Proper state.json creation with migration tracking

USER EXPERIENCE:
• Clean, one-time FYI notice after migration (no emojis, professional styling)
• Notice appears after 'Suggested Next Steps' and is tracked in state.json
• Silent operation - users unaware migration occurred unless explicitly shown

TECHNICAL IMPLEMENTATION:
• Enhanced readJSON() with automatic migration detection and processing
• New utility functions: getCurrentTag(), resolveTag(), getTasksForTag(), setTasksForTag()
• Complete migration orchestration via performCompleteTagMigration()
• Robust error handling and fallback mechanisms

BACKWARD COMPATIBILITY:
• 100% backward compatibility maintained
• Existing CLI commands and MCP tools continue to work unchanged
• Legacy tasks.json format automatically upgraded on first read
• All existing workflows preserved

TESTING VERIFIED:
• Complete migration from legacy state works correctly
• Config.json properly updated with tagged system settings
• State.json created with correct initial values
• Migration notice system functions as designed
• All existing functionality continues to work normally

Part 2 will implement tag management commands (add-tag, use-tag, list-tags)
and MCP tool updates for full tagged task system functionality.

Related: Task 103 - Implement Tagged Task Lists System for Multi-Context Task Management

* docs: Update documentation and rules for tagged task lists system

- Updated task-structure.md with comprehensive tagged format explanation
- Updated all .cursor/rules/*.mdc files to reflect tagged system
- Completed subtask 103.16: Update Documentation for Tagged Task Lists System

* feat(mcp): Add tagInfo to responses and integrate ContextGatherer

Enhances the MCP server to include 'tagInfo' (currentTag, availableTags) in all tool responses, providing better client-side context.

- Introduces a new 'ContextGatherer' utility to standardize the collection of file, task, and project context for AI-powered commands. This refactors several task-manager modules ('expand-task', 'research', 'update-task', etc.) to use the new utility.

- Fixes an issue in 'get-task' and 'get-tasks' MCP tools where the 'projectRoot' was not being passed correctly, preventing tag information from being included in their responses.

- Adds subtask '103.17' to track the implementation of the task template importing feature.

- Updates documentation ('.cursor/rules', 'docs/') to align with the new tagged task system and context gatherer logic.

* fix: include tagInfo in AI service responses for MCP tools

- Update all core functions that call AI services to extract and return tagInfo
- Update all direct functions to include tagInfo in MCP response data
- Fixes issue where add_task, expand_task, and other AI commands were not including current tag and available tags information
- tagInfo includes currentTag from state.json and availableTags list
- Ensures tagged task lists system information is properly propagated through the full chain: AI service -> core function -> direct function -> MCP client

* fix(move-task): Update move functionality for tagged task system compatibility

- incorporate GitHub commit fixes and resolve readJSON data handling

* feat(tagged-tasks): Complete core tag management system implementation

- Implements comprehensive tagged task lists system for multi-context task management including core tag management functions (Task 103.11), MCP integration updates, and foundational infrastructure for tagged task operations. Features tag CRUD operations, validation, metadata tracking, deep task copying, and full backward compatibility.

* fix(core): Fixed move-task.js writing _rawTaggedData directly, updated writeJSON to filter tag fields, fixed CLI move command missing projectRoot, added ensureTagMetadata utility

* fix(tasks): ensure list tasks triggers silent migration if necessary.

* feat(tags): Complete show and add-task command tag support
- show command: Added --tag flag, fixed projectRoot passing to UI functions
- add-task command: Already had proper tag support and projectRoot handling
- Both commands now work correctly with tagged task lists system
- Migration logic works properly when viewing and adding tasks
- Updated subtask 103.5 with progress on high-priority command fixes

* fix(tags): Clean up rogue created properties and fix taskCount calculation
- Enhanced writeJSON to automatically filter rogue created/description properties from tag objects
- Fixed tags command error by making taskCount calculation dynamic instead of hardcoded
- Cleaned up existing rogue created property in master tag through forced write operation
- All created properties now properly located in metadata objects only
- Tags command working perfectly with proper task count display
- Data integrity maintained with automatic cleanup during write operations

* fix(tags): Resolve critical tag deletion and migration notice bugs

Major Issues Fixed:

1. Tag Deletion Bug: Fixed critical issue where creating subtasks would delete other tags

   - Root cause: writeJSON function wasn't accepting projectRoot/tag parameters

   - Fixed writeJSON signature and logic to handle tagged data structure

   - Added proper merging of resolved tag data back into full tagged structure

2. Persistent Migration Notice: Fixed FYI notice showing after every command

   - Root cause: markMigrationForNotice was resetting migrationNoticeShown to false

   - Fixed migration logic to only trigger on actual legacy->tagged migrations

   - Added proper _rawTaggedData checks to prevent false migration detection

3. Data Corruption Prevention: Enhanced data integrity safeguards

   - Fixed writeJSON to filter out internal properties

   - Added automatic cleanup of rogue properties

   - Improved hasTaggedStructure detection logic

Commands Fixed: add-subtask, remove-subtask, and all commands now preserve tags correctly

* fix(tags): Resolve tag deletion bug in remove-task command

Refactored the core 'removeTask' function to be fully tag-aware, preventing data corruption.

- The function now correctly reads the full tagged data structure by prioritizing '_rawTaggedData' instead of operating on a resolved single-tag view.

- All subsequent operations (task removal, dependency cleanup, file writing) now correctly reference the full multi-tag data object, preserving the integrity of 'tasks.json'.

- This resolves the critical bug where removing a task would delete all other tags.

* fix(tasks): Ensure new task IDs are sequential within the target tag

Modified the ID generation logic in 'add-task.js' to calculate the next task ID based on the highest ID within the specified tag, rather than globally across all tags.

This fixes a critical bug where creating a task in a new tag would result in a high, non-sequential ID, such as ID 105 for the first task in a tag.

* fix(commands): Add missing context parameters to dependency and remove-subtask commands

- Add projectRoot and tag context to all dependency commands
- Add projectRoot and tag context to remove-subtask command
- Add --tag option to remove-subtask command
- Fixes critical bug where remove-subtask was deleting other tags due to missing context
- All dependency and subtask commands now properly handle tagged task lists

* feat(tags): Add --tag flag support to core commands for multi-context task management
- parse-prd now supports creating tasks in specific contexts
- Fixed tag preservation logic to prevent data loss
- analyze-complexity generates tag-specific reports
- Non-existent tags created automatically
- Enables rapid prototyping and parallel development workflows

* feat(tags): Complete tagged task lists system with enhanced use-tag command

- Multi-context task management with full CLI support
- Enhanced use-tag command shows next available task after switching
- Universal --tag flag support across all commands
- Seamless migration with zero disruption
- Complete tag management suite (add, delete, rename, copy, list)
- Smart confirmation logic and data integrity protection
- State management and configuration integration
- Real-world use cases for teams, features, and releases

* feat(tags): Complete tag support for remaining CLI commands

- Add --tag flag to update, move, and set-status commands
- Ensure all task operation commands now support tag context
- Fix missing tag context passing to core functions
- Complete comprehensive tag-aware command coverage

* feat(ui): add tag indicator to all CLI commands
- shows 🏷️ tag: tagname for complete context visibility across 15+ commands

* fix(ui): resolve dependency 'Not found' issue when filtering

- now correctly displays dependencies that exist but are filtered out of view

* feat(research): Add comprehensive AI-powered research command with interactive follow-ups, save functionality, intelligent context gathering, fuzzy task discovery, multi-source context support, enhanced display with syntax highlighting, clean inquirer menus, comprehensive help, and MCP integration with saveTo parameter

* feat(tags): Implement full MCP support for Tagged Task Lists and update-task append mode

* chore: task management

* feat(research): Enhance research command with follow-up menu, save functionality, and fix ContextGatherer token counting

* feat(git-workflow): Add automatic git branch-tag integration

- Implement automatic tag creation when switching to new git branches

- Add branch-tag mapping system for seamless context switching

- Enable auto-switch of task contexts based on current git branch

- Provide isolated task contexts per branch to prevent merge conflicts

- Add configuration support for enabling/disabling git workflow features

- Fix ES module compatibility issues in git-utils module

- Maintain zero migration impact with automatic 'master' tag creation

- Support parallel development with branch-specific task contexts

The git workflow system automatically detects branch changes and creates corresponding empty task tags, enabling developers to maintain separate task contexts for different features/branches while preventing task-related merge conflicts during collaborative development.

Resolves git workflow integration requirements for multi-context development.

* feat(git-workflow): Simplify git integration with --from-branch option

- Remove automatic git workflow and branch-tag switching - we are not ready for it yet

- Add --from-branch option to add-tag command for manual tag creation from git branch

- Remove git workflow configuration from config.json and assets

- Disable automatic tag switching functions in git-utils.js

- Add createTagFromBranch function for branch-based tag creation

- Support both CLI and MCP interfaces for --from-branch functionality

- Fix ES module imports in git-utils.js and utils.js

- Maintain user control over tag contexts without forced automation

The simplified approach allows users to create tags from their current git branch when desired, without the complexity and rigidity of automatic branch-tag synchronization. Users maintain full control over their tag contexts while having convenient tools for git-based workflows when needed.

* docs: Update rule files to reflect simplified git integration approach

- Remove automatic git workflow features, update to manual --from-branch option, change Part 2 references to completed status

* fix(commands): Fix add-tag --from-branch requiring tagName argument
- Made tagName optional when using --from-branch - Added validation for either tagName or --from-branch
- Fixes 'missing required argument' error with --from-branch option

* fix(mcp): Prevent tag deletion on subtask update

Adds a safety net to the writeJSON utility to prevent data loss when updating subtasks via the MCP server.

The MCP process was inadvertently causing the _rawTaggedData property, which holds the complete multi-tag structure, to be lost. When writeJSON received the data for only a single tag, it would overwrite the entire tasks.json file, deleting all other tags.

This fix makes writeJSON more robust. If it receives data that looks like a single, resolved tag without the complete structure, it re-reads the full tasks.json file from disk. It then carefully merges the updated data back into the correct tag within the full structure, preserving all other tags.

* fix: resolve all remaining test failures and improve test reliability

- Fix clear-subtasks test by implementing deep copy of mock data to prevent mutation issues between tests
- Fix add-task test by uncommenting and properly configuring generateTaskFiles call with correct parameters
- Fix analyze-task-complexity tests by properly mocking fs.writeFileSync with shared mock function
- Update test expectations to match actual function signatures and data structures
- Improve mock setup consistency across all test suites
- Ensure all tests now pass (329 total: 318 passed, 11 skipped, 0 failed)

* chore: task management

---------

Co-authored-by: Eyal Toledano <eyal@microangel.so>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Ibrahim H. <bitsnaps@yahoo.fr>
Co-authored-by: Saksham Goel <sakshamgoel1107@gmail.com>
Co-authored-by: Joe Danziger <joe@ticc.net>
Co-authored-by: Aaron Gabriel Neyer <ag@unforced.org>
2025-06-15 03:47:28 +03:00
github-actions[bot]
12bed2b307 docs: Auto-update and format models.md 2025-06-15 03:47:28 +03:00
Volodymyr Zahorniak
d76bea49b3 docs: Update o3 model price (#751) 2025-06-15 03:47:28 +03:00
Ralph Khreish
0849c0c2ce fix: expand-task (#755) 2025-06-15 03:47:28 +03:00
Joe Danziger
5ec1f61c13 Fix Cursor deeplink installation with copy-paste instructions (#723) 2025-06-15 03:47:28 +03:00
Eyal Toledano
292c2caf7f Merge pull request #722 from eyaltoledano/changeset-release/main
Version Packages
2025-06-08 17:43:43 -04:00
github-actions[bot]
526d64fb8a Version Packages 2025-06-08 20:39:20 +00:00
Ralph Khreish
1b86ce6c83 Merge pull request #721 from eyaltoledano/next 2025-06-08 22:38:49 +02:00
Eyal Toledano
8a86ec538e Merge pull request #717 from eyaltoledano/v016-last-touches
V016 last touches
2025-06-08 16:20:32 -04:00
Eyal Toledano
9e7387952d readme: moves up the documentation links higher up in the readme. same with the cursor one-click install. 2025-06-08 15:59:49 -04:00
Eyal Toledano
ab05f550b3 chore: adjusts changeset from minor to patch to avoid version bump to 0.17 2025-06-08 15:32:31 -04:00
Ralph Khreish
cf01fbedcf Merge pull request #686 from eyaltoledano/next 2025-06-08 19:37:46 +02:00
Ralph Khreish
d2bcbee0c2 chore: small readme nitpicks 2025-06-08 13:49:40 +02:00
Eyal Toledano
72171bd4ba Merge pull request #702 from eyaltoledano/readme-fixes-2
readme: removes the taskmaster list output
2025-06-07 23:23:01 -04:00
Eyal Toledano
9ad517231a readme: removes the taskmaster list output which is too overwhelming given its size with subtasks. may re-add later. fixes likely issues in the json for manual config in cursor and windsurf in the readme. 2025-06-07 23:21:17 -04:00
Eyal Toledano
7db3b47a47 Merge pull request #701 from eyaltoledano/readme-npm-badges
chore: updates readme with npm download badges and mentions AI Jason who is joining the taskmaster core team.
2025-06-07 23:17:02 -04:00
Eyal Toledano
3de785a99c readme: fix twitter urls. 2025-06-07 23:10:08 -04:00
Eyal Toledano
8188fdd832 fix: readme typo 2025-06-07 23:09:16 -04:00
Eyal Toledano
3fadc2f1ef chore: fixes urls in readme npm packages again 2025-06-07 23:07:12 -04:00
Eyal Toledano
dd36111367 chore: fixes urls in readme npm packages 2025-06-07 23:06:26 -04:00
Eyal Toledano
c58ab8963c chore: updates readme with npm download badges and mentions AI Jason who is joining the taskmaster core team. 2025-06-07 23:02:36 -04:00
github-actions[bot]
3eeb4721aa docs: Auto-update and format models.md 2025-06-08 02:15:32 +00:00
Eyal Toledano
7ea905f2c5 Merge pull request #699 from eyaltoledano/0.16.2-touchups
0.16.2 touchups
2025-06-07 22:15:19 -04:00
Eyal Toledano
51dd4f625b chore: changeset adjustment 2025-06-07 22:13:11 -04:00
Eyal Toledano
2e55757b26 ninja(sync): add sync-readme command for GitHub README export with UTM tracking and professional markdown formatting. Experimental 2025-06-07 22:07:35 -04:00
Eyal Toledano
54bfc72baa chore: more linting 2025-06-07 20:32:37 -04:00
Eyal Toledano
faae0b419d chore: passes tests and linting 2025-06-07 20:30:51 -04:00
Eyal Toledano
27edbd8f3f chore: changeset 2025-06-07 20:28:28 -04:00
Eyal Toledano
b1390e4ddf refactor: enhance add-task fuzzy search and fix duplicate banner display
- **Remove hardcoded category system** in add-task that always matched 'Task management'
- **Eliminate arbitrary limits** in fuzzy search results (5→25 high relevance, 3→10 medium relevance, 8→20 detailed tasks)
- **Improve semantic weighting** in Fuse.js search (details=3, description=2, title=1.5) for better relevance
- **Fix duplicate banner issue** by removing console.clear() and redundant displayBanner() calls from UI functions
- **Enhance context generation** to rely on semantic similarity rather than rigid pattern matching
- **Preserve terminal history** to address GitHub issue #553 about eating terminal lines
- **Remove displayBanner() calls** from: displayHelp, displayNextTask, displayTaskById, displayComplexityReport, set-task-status, clear-subtasks, dependency-manager functions

The add-task system now provides truly relevant task context based on semantic similarity rather than arbitrary categories and limits, while maintaining a cleaner terminal experience.

Changes span: add-task.js, ui.js, set-task-status.js, clear-subtasks.js, list-tasks.js, dependency-manager.js

Closes #553
2025-06-07 20:23:55 -04:00
Eyal Toledano
cc04d53720 chore: adds a warning when custom openrouter model is a free model which suffers from lower rate limits, restricted context, and, worst of all, no access to tool_use. 2025-06-07 18:54:11 -04:00
Eyal Toledano
bfd86eb9cc Adds qwen3-235n-a22b:free to supported models. Closes #687) 2025-06-07 18:42:11 -04:00
Eyal Toledano
9eb3842f04 fix(ai-providers): change generateObject mode from 'tool' to 'auto' for better provider compatibility
Fixes Perplexity research role failing with 'tool-mode object generation' error

The hardcoded 'tool' mode was incompatible with providers like Perplexity that support structured JSON output but not function calling/tool use

Using 'auto' mode allows the AI SDK to choose the best approach for each provider
2025-06-07 15:02:48 -04:00
Eyal Toledano
bf2053e140 feat(ui): replace emoji complexity indicators with clean filled circle characters
Replace 🟢, 🟡, 🔴 emojis with ● character in getComplexityWithColor function

Update corresponding unit tests to expect ● instead of emojis

Improves UI continuity
2025-06-07 12:57:45 -04:00
Ralph Khreish
ee0be04302 fix: update MCP tool 2025-06-07 13:29:03 +02:00
Ralph Khreish
c0707fc399 chore: upgrade fast mcp to latest version 2025-06-07 13:29:03 +02:00
Ralph Khreish
1ece6f1904 fix: findTasksPath function 2025-06-07 13:29:03 +02:00
github-actions[bot]
f4a9ad1095 chore: rc version bump 2025-06-06 18:51:19 +00:00
Aaron Gabriel Neyer
cba86510d3 Update README.md - Remove trailing commas (#673)
JSON doesn't allow for trailing commas, so these need to be removed in order for this to work
2025-06-05 19:08:24 +02:00
Joe Danziger
86ea6d1dbc Add one-click MCP server installation for Cursor (#671) 2025-06-05 19:08:15 +02:00
Saksham Goel
a22d2a45b5 Fixed the Typo in cursor rules Issue:#675 (#677)
Fixed the typo in the Api keys
2025-06-05 19:06:01 +02:00
Ralph Khreish
d73c8e17ec Merge pull request #661 from eyaltoledano/chore/update.next
Update next from main branch
2025-06-03 18:13:22 +02:00
Ralph Khreish
4f23751d25 chore: update package-lock.json 2025-06-03 18:12:02 +02:00
Ibrahim H.
7d5c028ca0 fix: markdown format (#622) 2025-06-03 15:54:13 +02:00
github-actions[bot]
f18df6da19 Version Packages 2025-06-03 15:14:34 +02:00
github-actions[bot]
1754a31372 Version Packages 2025-06-03 15:13:26 +02:00
Ralph Khreish
3096ccdfb3 chore: add package-lock.json 2025-06-03 15:13:26 +02:00
github-actions[bot]
6464bb11e5 Version Packages 2025-06-03 15:13:26 +02:00
Ralph Khreish
edaa5fe0d5 fix: projectRoot duplicate .taskmaster directory (#655) 2025-06-03 15:12:50 +02:00
Ralph Khreish
41d9dbbe6d Merge pull request #650 from eyaltoledano/changeset-release/main 2025-06-03 01:40:34 +02:00
github-actions[bot]
6e0d866756 Version Packages 2025-06-02 23:26:36 +00:00
Ralph Khreish
926aa61a4e Merge pull request #642 from eyaltoledano/next
Release 0.16.1
2025-06-03 01:26:12 +02:00
Ralph Khreish
9b4168bb4e Fix: MCP log errors (#648) 2025-06-03 01:09:29 +02:00
Ralph Khreish
ad612763ff fix: bedrock set model and other fixes (#641) 2025-06-02 14:44:35 +02:00
Ralph Khreish
293b59bac6 Merge pull request #630 from eyaltoledano/changeset-release/main
Version Packages
2025-06-01 17:49:18 +02:00
Ralph Khreish
1809c4ed7b chore: add package-lock.json 2025-06-01 11:48:11 -04:00
github-actions[bot]
6e406958c1 Version Packages 2025-06-01 15:24:59 +00:00
Ralph Khreish
074b7ec0bc Merge pull request #625 from eyaltoledano/next 2025-06-01 17:24:37 +02:00
Ralph Khreish
e0438c8fb8 chore: cleanup migration-guide 2025-06-01 01:08:31 -04:00
github-actions[bot]
1f6694fb3d chore: rc version bump 2025-06-01 04:20:35 +00:00
Ralph Khreish
b0dfcf345e chore: apply requested changes from next branch (#629) 2025-06-01 06:19:55 +02:00
Ralph Khreish
3f64202c9f feat: Add .taskmaster directory (#619) 2025-05-31 16:21:03 +02:00
Ralph Khreish
669b744ced Feat/add nvmrc (#612)
* feat: Add .nvmrc and align engines to Node 20

* chore: set nvm to 22, engines to 18

* chore: format

* chore: add changeset

---------

Co-authored-by: Amir Golan <amirgolan@Amirs-MacBook-Pro.local>
2025-05-28 15:02:15 +02:00
Nathan Marley
f058543888 Replace prettier with biome (#531) 2025-05-28 14:47:16 +02:00
Ralph Khreish
acd5c1ea3d chore: add contributing.md (#611) 2025-05-28 00:59:14 +02:00
github-actions[bot]
682b54e103 docs: Auto-update and format models.md 2025-05-27 22:42:42 +00:00
Ralph Khreish
6a8a68e1a3 Feat/add.azure.and.other.providers (#607)
* fix: claude-4 not having the right max_tokens

* feat: add bedrock support

* chore: fix package-lock.json

* fix: rename baseUrl to baseURL

* feat: add azure support

* fix: final touches of azure integration

* feat: add google vertex provider

* chore: fix tests and refactor task-manager.test.js

* chore: move task 92 to 94
2025-05-28 00:42:31 +02:00
Ralph Khreish
80735f9e60 feat(config): Implement TASK_MASTER_PROJECT_ROOT support for project root resolution (#604)
* feat(config): Implement TASK_MASTER_PROJECT_ROOT support for project root resolution

- Added support for the TASK_MASTER_PROJECT_ROOT environment variable in MCP configuration, establishing a clear precedence order for project root resolution.
- Updated utility functions to prioritize the environment variable, followed by args.projectRoot and session-based resolution.
- Enhanced error handling and logging for project root determination.
- Introduced new tasks for comprehensive testing and documentation updates related to the new configuration options.

* chore: fix CI issues
2025-05-28 00:32:34 +02:00
github-actions[bot]
48732d5423 docs: Auto-update and format models.md 2025-05-25 22:13:23 -04:00
Eyal Toledano
2d520de269 fix(add-task): removes stdout in add-task which will crash MCP server (#593)
* fix(add-task): fixes an isse in which stdout leaks out of add-task causing the mcp server to crash if used.

* chore: add changeset

---------

Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
2025-05-25 22:13:23 -04:00
celgost
b60e1cf835 revamping readme (#522) 2025-05-24 17:21:15 +02:00
Ralph Khreish
d1e45ff50e Merge pull request #589 from eyaltoledano/changeset-release/main
Version Packages
2025-05-24 16:25:26 +02:00
github-actions[bot]
1513858da4 Version Packages 2025-05-24 14:07:53 +00:00
Ralph Khreish
59dcf4bd64 Release 0.15.0
Release 0.15.0
2025-05-24 16:07:24 +02:00
github-actions[bot]
a09ba021c5 chore: rc version bump 2025-05-24 00:44:47 +00:00
Eyal Toledano
e906166141 Merge pull request #567 from eyaltoledano/parse-prd-research
v0.15 improvements & new features
2025-05-23 20:42:41 -04:00
Eyal Toledano
231e569e84 Adjusts default main model model to Claude Sonnet 4. Adjusts default fallback to Claude Sonney 3.7 2025-05-23 20:33:45 -04:00
Eyal Toledano
09add37423 feat(models): Add comprehensive Ollama model validation and interactive setup - Add 'Custom Ollama model' option to interactive setup (--setup) - Implement live validation against local Ollama instance via /api/tags - Support configurable Ollama endpoints from .taskmasterconfig - Add robust error handling for server connectivity and model existence - Enhance user experience with clear validation feedback - Support both MCP server and CLI interfaces 2025-05-23 20:20:39 -04:00
Eyal Toledano
91fc779714 chore: adjusts changesets and an import. 2025-05-23 17:41:25 -04:00
Eyal Toledano
8c69c0aafd Task management, research, improvements for 24, 41 and 51 2025-05-23 17:30:25 -04:00
Eyal Toledano
43ad75c7fa chore: formatting 2025-05-23 14:44:53 -04:00
Eyal Toledano
a59dd037cf chore: changeset for Claude Code rules. depends on us adding it as an init option from the other PR. 2025-05-23 13:23:26 -04:00
Eyal Toledano
3293c7858b feat: adds AGENTS.md to the assets/ folder so we can add it into the project if the user selects Claude Code as the IDE of choice in the init sequence (to be done in another PR) 2025-05-23 13:17:45 -04:00
Eyal Toledano
b371808524 fix(models): Adjusts the Claude 4 models and introduces the llms-install.md file to enable AI agents to install the Taskmaster MCP server programmatically. 2025-05-23 12:59:14 -04:00
Shrey Paharia
86d8f00af8 Add next task to set status for mcp server (#558) 2025-05-22 11:09:36 +02:00
Eyal Toledano
0c55ce0165 chore: linting and prettier 2025-05-22 04:17:06 -04:00
Eyal Toledano
5a91941913 removes changeset for set/mark which i didnt add in the end 2025-05-22 04:15:10 -04:00
Eyal Toledano
04af16de27 feat(move-tasks): Implement move command for tasks and subtasks
Adds a new CLI command and MCP tool to reorganize tasks and subtasks within the hierarchy. Features include:
- Moving tasks between different positions in the task list
- Converting tasks to subtasks and vice versa
- Moving subtasks between parents
- Moving multiple tasks at once with comma-separated IDs
- Creating placeholder tasks when moving to new IDs
- Validation to prevent accidental data loss

This is particularly useful for resolving merge conflicts when multiple team members create tasks on different branches.
2025-05-22 04:14:22 -04:00
Eyal Toledano
edf0f23005 update changesets 2025-05-22 03:03:25 -04:00
Eyal Toledano
e0e1155260 fix(parse-prd): Fix parameter naming inconsistency in CLI parse-prd command 2025-05-22 02:59:32 -04:00
Eyal Toledano
70f4054f26 feat(parse-prd): Add research flag to parse-prd command for enhanced PRD analysis. Significantly improves parse PRD system prompt when used with research. 2025-05-22 02:57:51 -04:00
Eyal Toledano
34c769bcd0 feat(analyze): add task ID filtering to analyze-complexity command
Enhance analyze-complexity to support analyzing specific tasks by ID or range:
- Add --id option for comma-separated task IDs
- Add --from/--to options for analyzing tasks within a range
- Implement intelligent merging with existing reports
- Update CLI, MCP tools, and direct functions for consistent support
- Add changeset documenting the feature
2025-05-22 01:49:41 -04:00
Eyal Toledano
34df2c8bbd feat: automatically create tasks.json when missing (Task #68)
This commit implements automatic tasks.json file creation when it doesn't exist:

- When tasks.json is missing or invalid, create a new one with { tasks: [] }
- Allows adding tasks immediately after initializing a project without parsing a PRD
- Replaces error with informative feedback about file creation
- Enables smoother workflow for new projects or directories

This change improves user experience by removing the requirement to parse a PRD
before adding the first task to a newly initialized project. Closes #494
2025-05-22 01:18:27 -04:00
Eyal Toledano
5e9bc28abe feat(add-task): enhance dependency detection with semantic search
This commit significantly improves the  functionality by implementing
fuzzy semantic search to find contextually relevant dependencies:

- Add Fuse.js for powerful fuzzy search capability with weighted multi-field matching
- Implement score-based relevance ranking with high/medium relevance tiers
- Enhance context generation to include detailed information about similar tasks
- Fix context shadowing issue that prevented detailed task information from
  reaching the AI model
- Add informative CLI output showing semantic search results and dependency patterns
- Improve formatting of dependency information in prompts with task titles

The result is that newly created tasks are automatically placed within the correct
dependency structure without manual intervention, with the AI having much better
context about which tasks are most relevant to the new one being created.

This significantly improves the user experience by reducing the need to manually
update task dependencies after creation, all without increasing token usage or costs.
2025-05-22 01:09:40 -04:00
Eyal Toledano
d2e64318e2 fix(ai-services): add logic for API key checking in fallback sequence 2025-05-21 22:49:25 -04:00
Eyal Toledano
4c835264ac task management 2025-05-21 21:23:39 -04:00
github-actions[bot]
c882f89a8c Version Packages 2025-05-20 18:40:38 +02:00
Ralph Khreish
20e1b72a17 Merge pull request #549 from eyaltoledano/changeset-release/main
Version Packages
2025-05-20 00:34:13 +02:00
github-actions[bot]
db631f43a5 Version Packages 2025-05-19 22:31:08 +00:00
Ralph Khreish
3b9402f1f8 Merge Release 0.14.0 #529
Release 0.14.0
2025-05-20 00:30:46 +02:00
Ralph Khreish
c8c0fc2a57 fix: improve ollama object to telemetry structure (#546) 2025-05-19 23:05:45 +02:00
HR
60b8e97a1c fix: roomodes typo (#544) 2025-05-19 17:00:06 +02:00
github-actions[bot]
3a6d6dd671 chore: rc version bump 2025-05-18 08:08:54 +00:00
Ralph Khreish
f4a83ec047 feat: add ollama support (#536) 2025-05-18 10:07:31 +02:00
Eyal Toledano
0699f64299 Merge pull request #442 from eyaltoledano/telemetry
feat(telemetry): Implement AI usage telemetry pattern and apply to ad…
2025-05-17 22:34:01 -04:00
Eyal Toledano
60b8f5faa3 fix(expand-task): Ensure advanced parsing logic works and trimmed AI response properly if any jsonToParse modifications need to be made on initial parse of response. 2025-05-17 22:26:37 -04:00
Eyal Toledano
cd6e42249e fix(parse-prd): simplifies append and force variable names across the chain to avoid confusion. parse-prd append tested on MCP and the fix is good to go. Also adjusts e2e test to properly capture costs. 2025-05-17 20:10:53 -04:00
Eyal Toledano
fcd80623b6 linting 2025-05-17 18:43:15 -04:00
Eyal Toledano
026815353f fix(ai): Correctly imports generateText in openai.js, adds specific cause and reason for OpenRouter failures in the openrouter.js catch, performs complexity analysis on all tm tasks, adds new tasks to further improve the maxTokens to take input and output maximum into account. Adjusts default fallback max tokens so 3.5 does not fail. 2025-05-17 18:42:57 -04:00
Eyal Toledano
8a3b611fc2 fix(telemetry): renames _aggregateTelemetry to aggregateTelemetry to avoid confusion about it being a private function (it's not) 2025-05-17 17:48:45 -04:00
Eyal Toledano
6ba42b53dc fix: dupe export 2025-05-16 18:17:33 -04:00
Eyal Toledano
3e304232ab Solves merge conflicts with origin/next. 2025-05-16 18:15:11 -04:00
Eyal Toledano
70fa5b0031 fix(config): adjusts getUserId to optionally create/fill in the (currently hardcoded) userId to the telemetry object if it is not found. This prevents the telemetry call from landing as null for users who may have a taskmasterconfig but no userId in the globals. 2025-05-16 17:41:48 -04:00
github-actions[bot]
314c0de8c4 chore: rc version bump 2025-05-16 21:37:00 +00:00
Ralph Khreish
58b417a8ce Add complexity score to task (#528)
* feat: added complexity score handling to list tasks

* feat: added handling for complexity score in find task by id

* test: remove console dir

* chore: add changeset

* format: fixed formatting issues

* ref: reorder imports

* feat: updated handling for findTaskById to take complexityReport as input

* test: fix findTaskById complexity report testcases

* fix: added handling for complexity report path

* chore: add changeset

* fix: moved complexity report handling to list tasks rather than list tasks direct

* fix: add complexity handling to next task in list command

* fix: added handling for show cli

* fix: fixed next cli command handling

* fix: fixed handling for complexity report path in mcp

* feat: added handling to get-task

* feat: added handling for next-task in mcp

* feat: add handling for report path override

* chore: remove unecessary changeset

* ref: remove unecessary comments

* feat: update list and find next task

* fix: fixed running tests

* fix: fixed findTaskById

* fix: fixed findTaskById and tests

* fix: fixed addComplexityToTask util

* fix: fixed mcp server project root input

* chore: cleanup

---------

Co-authored-by: Shrey Paharia <shreypaharia@gmail.com>
2025-05-16 23:24:25 +02:00
Ralph Khreish
a8dabf4485 fix: remove cache from list-tasks and next-task mcp calls (#527)
* fix: remove cache from list-tasks and next-task mcp calls

* chore: remove cached function

* chore: add changeset
2025-05-16 22:54:03 +02:00
Ralph Khreish
bc19bc7927 Merge remote-tracking branch 'origin/next' into telemetry 2025-05-16 18:16:58 +02:00
Ralph Khreish
da317f2607 fix: error handling of task status settings (#523)
* fix: error handling of task status settings

* fix: update import path

---------

Co-authored-by: shenysun <shenysun@163.com>
2025-05-16 15:47:01 +02:00
Ralph Khreish
ed17cb0e0a feat: implement baseUrls on all ai providers(#521) 2025-05-16 15:34:29 +02:00
Ralph Khreish
e96734a6cc fix: updateTask enableSilentMode is not defined (#517)
- Closes #412
2025-05-15 22:56:52 +02:00
Ralph Khreish
17294ff259 Fix: Correct version resolution for banner and update check (#511)
* Fix: Correct version resolution for banner and update check

Resolves issues where the tool's version was displayed as 'unknown'.

- Modified 'displayBanner' in 'ui.js' and 'checkForUpdate' in 'commands.js' to read package.json relative to their own script locations using import.meta.url.
- This ensures the correct local version is identified for both the main banner display and the update notification mechanism.
- Restored a missing closing brace in 'ui.js' to fix a SyntaxError.

* fix: refactor and cleanup

* fix: chores and cleanup and testing

* chore: cleanup

* fix: add changeset

---------

Co-authored-by: Christer Soederlund <christer.soderlund@gmail.com>
2025-05-15 22:41:16 +02:00
Lars Bell
a96215a359 Update .taskmasterconfig (#435)
* Update .taskmasterconfig

Max tokens in 3.5 is lower.  With the current number get this error:

Service call failed for role fallback (Provider: anthropic, Model: claude-3-5-sonnet-20240620): max_tokens: 120000 > 8192, which is the maximum allowed number of output tokens for claude-3-5-sonnet-20240620

* Fix fallback model ID format and update maxTokens in Taskmaster configuration

---------

Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
2025-05-15 13:01:21 +02:00
Ralph Khreish
0a611843b5 fix: Inline comments in .env.example conflicting with env variable values (#501)
* fix: Update API key format in env.example to use quotes for consistency

* chore: add changelog
2025-05-15 01:32:49 +02:00
Kayvan Sylvan
a1f8d52474 chore: rename log level environment variable to TASKMASTER_LOG_LEVEL (#417)
* chore: rename log level environment variable to `TASKMASTER_LOG_LEVEL`

### CHANGES
- Update environment variable from `LOG_LEVEL` to `TASKMASTER_LOG_LEVEL`.
- Reflect change in documentation for clarity.
- Adjust variable name in script and test files.
- Maintain default log level as `info`.

* fix: add changeset

* chore: rename `LOG_LEVEL` to `TASKMASTER_LOG_LEVEL` for consistency

### CHANGES
- Update environment variable name to `TASKMASTER_LOG_LEVEL` in documentation.
- Reflect rename in configuration rules for clarity.
- Maintain consistency across project configuration settings.
2025-05-15 01:09:41 +02:00
Eyal Toledano
da636f6681 fix(e2e): further improves the end to end script to take into account the changes made for each AI provider as it now responds with an obejct not just the result straight up. 2025-05-14 19:04:47 -04:00
Eyal Toledano
ca5ec03cd8 fix(ai,tasks): Enhance AI provider robustness and task processing
This commit introduces several improvements to AI interactions and
task management functionalities:

- AI Provider Enhancements (for Telemetry & Robustness):
    - :
        - Added a check in  to ensure
          is a string, throwing an error if not. This prevents downstream
           errors (e.g., in ).
    - , , :
        - Standardized return structures for their respective
          and  functions to consistently include /
          and  fields. This aligns them with other providers (like
          Anthropic, Google, Perplexity) for consistent telemetry data
          collection, as part of implementing subtask 77.14 and similar work.

- Task Expansion ():
    - Updated  to be more explicit
      about using an empty array  for empty  to
      better guide AI output.
    - Implemented a pre-emptive cleanup step in
      to replace malformed  with
      before JSON parsing. This improves resilience to AI output quirks,
      particularly observed with Perplexity.

- Adjusts issue in commands.js where successfulRemovals would be undefined. It's properly invoked from the result variable now.

- Updates supported models for Gemini
These changes address issues observed during E2E tests, enhance the
reliability of AI-driven task analysis and expansion, and promote
consistent telemetry data across multiple AI providers.
2025-05-14 19:04:03 -04:00
Ralph Khreish
c47deeb869 Merge remote-tracking branch 'origin/main' into next 2025-05-15 00:29:54 +02:00
github-actions[bot]
dd90c9cb5d Version Packages 2025-05-15 00:29:11 +02:00
Ralph Khreish
c7042845d6 chore: improve CI to better accomodate pre-releases for testing (#507) 2025-05-15 00:28:06 +02:00
Eyal Toledano
79a41543d5 fix(ai): Align Perplexity provider with standard telemetry response structure
This commit updates the Perplexity AI provider () to ensure its functions return data in a structure consistent with other providers and the expectations of the unified AI service layer ().

Specifically:
-  now returns an object  instead of only the text string.
-  now returns an object  instead of only the result object.

These changes ensure that  can correctly extract both the primary AI-generated content and the token usage data for telemetry purposes when Perplexity models are used. This resolves issues encountered during E2E testing where complexity analysis (which can use Perplexity for its research role) failed due to unexpected response formats.

The  function was already compliant.
2025-05-14 11:46:35 -04:00
Joe Danziger
efce37469b Fix duplicate output on CLI help screen (#496)
* remove duplication

* add changeset

* fix formatting
2025-05-14 13:12:15 +02:00
Joe Danziger
4117f71c18 Fix CLI --force flag on parse-prd command 2025-05-13 22:06:09 +02:00
Eyal Toledano
9f4bac8d6a fix(ai): Improve AI object response handling in parse-prd
This commit updates  to more robustly handle responses from .

Previously, the module strictly expected the AI-generated object to be nested under . This change ensures that it now first checks if  itself contains the expected task data object, and then falls back to checking .

This enhancement increases compatibility with varying AI provider response structures, similar to the improvements recently made in .
2025-05-13 13:21:51 -04:00
Eyal Toledano
e53d5e1577 feat(ai): Enhance Google provider telemetry and AI object response handling
This commit introduces two key improvements:

1.  **Google Provider Telemetry:**
    - Updated  to include token usage data (, ) in the responses from  and .
    - This aligns the Google provider with others for consistent AI usage telemetry.

2.  **Robust AI Object Response Handling:**
    - Modified  to more flexibly handle responses from .
    - The add-task module now check for the AI-generated object in both  and , improving compatibility with different AI provider response structures (e.g., Gemini).

These changes enhance the reliability of AI interactions, particularly with the Google provider, and ensure accurate telemetry collection.
2025-05-13 12:13:35 -04:00
Eyal Toledano
59230c4d91 chore: task management and formatting. 2025-05-09 14:12:21 -04:00
Eyal Toledano
04b6a3cb21 feat(telemetry): Integrate AI usage telemetry into analyze-complexity
This commit applies the standard telemetry pattern to the analyze-task-complexity command and its corresponding MCP tool.

Key Changes:

1.  Core Logic (scripts/modules/task-manager/analyze-task-complexity.js):
    -   The call to generateTextService now includes commandName: 'analyze-complexity' and outputType.
    -   The full response { mainResult, telemetryData } is captured.
    -   mainResult (the AI-generated text) is used for parsing the complexity report JSON.
    -   If running in CLI mode (outputFormat === 'text'), displayAiUsageSummary is called with the telemetryData.
    -   The function now returns { report: ..., telemetryData: ... }.

2.  Direct Function (mcp-server/src/core/direct-functions/analyze-task-complexity.js):
    -   The call to the core analyzeTaskComplexity function now passes the necessary context for telemetry (commandName, outputType).
    -   The successful response object now correctly extracts coreResult.telemetryData and includes it in the data.telemetryData field returned to the MCP client.
2025-05-08 19:34:00 -04:00
Eyal Toledano
37178ff1b9 feat(telemetry): Integrate AI usage telemetry into update-subtask
This commit applies the standard telemetry pattern to the update-subtask command and its corresponding MCP tool.

Key Changes:

1.  Core Logic (scripts/modules/task-manager/update-subtask-by-id.js):
    -   The call to generateTextService now includes commandName: 'update-subtask' and outputType.
    -   The full response { mainResult, telemetryData } is captured.
    -   mainResult (the AI-generated text) is used for the appended content.
    -   If running in CLI mode (outputFormat === 'text'), displayAiUsageSummary is called with the telemetryData.
    -   The function now returns { updatedSubtask: ..., telemetryData: ... }.

2.  Direct Function (mcp-server/src/core/direct-functions/update-subtask-by-id.js):
    -   The call to the core updateSubtaskById function now passes the necessary context for telemetry (commandName, outputType).
    -   The successful response object now correctly extracts coreResult.telemetryData and includes it in the data.telemetryData field returned to the MCP client.
2025-05-08 19:04:25 -04:00
Eyal Toledano
bbc8b9cc1f feat(telemetry): Integrate AI usage telemetry into update-tasks
This commit applies the standard telemetry pattern to the update-tasks command and its corresponding MCP tool.

Key Changes:

1.  Core Logic (scripts/modules/task-manager/update-tasks.js):
    -   The call to generateTextService now includes commandName: 'update-tasks' and outputType.
    -   The full response { mainResult, telemetryData } is captured.
    -   mainResult (the AI-generated text) is used for parsing the updated task JSON.
    -   If running in CLI mode (outputFormat === 'text'), displayAiUsageSummary is called with the telemetryData.
    -   The function now returns { success: true, updatedTasks: ..., telemetryData: ... }.

2.  Direct Function (mcp-server/src/core/direct-functions/update-tasks.js):
    -   The call to the core updateTasks function now passes the necessary context for telemetry (commandName, outputType).
    -   The successful response object now correctly extracts coreResult.telemetryData and includes it in the data.telemetryData field returned to the MCP client.
2025-05-08 18:51:29 -04:00
Eyal Toledano
c955431753 feat(telemetry): Integrate AI usage telemetry into update-tasks
This commit applies the standard telemetry pattern to the  command and its corresponding MCP tool.

Key Changes:

1.  **Core Logic ():**
    -   The call to  now includes  and .
    -   The full response  is captured.
    -    (the AI-generated text) is used for parsing the updated task JSON.
    -   If running in CLI mode (),  is called with the .
    -   The function now returns .

2.  **Direct Function ():**
    -   The call to the core  function now passes the necessary context for telemetry (, ).
    -   The successful response object now correctly extracts  and includes it in the  field returned to the MCP client.
2025-05-08 18:37:41 -04:00
Eyal Toledano
21c3cb8cda feat(telemetry): Integrate telemetry for expand-all, aggregate results
This commit implements AI usage telemetry for the `expand-all-tasks` command/tool and refactors its CLI output for clarity and consistency.

Key Changes:

1.  **Telemetry Integration for `expand-all-tasks` (Subtask 77.8):**\n    -   The `expandAllTasks` core logic (`scripts/modules/task-manager/expand-all-tasks.js`) now calls the `expandTask` function for each eligible task and collects the individual `telemetryData` returned.\n    -   A new helper function `_aggregateTelemetry` (in `utils.js`) is used to sum up token counts and costs from all individual expansions into a single `telemetryData` object for the entire `expand-all` operation.\n    -   The `expandAllTasksDirect` wrapper (`mcp-server/src/core/direct-functions/expand-all-tasks.js`) now receives and passes this aggregated `telemetryData` in the MCP response.\n    -   For CLI usage, `displayAiUsageSummary` is called once with the aggregated telemetry.

2.  **Improved CLI Output for `expand-all`:**\n    -   The `expandAllTasks` core function now handles displaying a final "Expansion Summary" box (showing Attempted, Expanded, Skipped, Failed counts) directly after the aggregated telemetry summary.\n    -   This consolidates all summary output within the core function for better flow and removes redundant logging from the command action in `scripts/modules/commands.js`.\n    -   The summary box border is green for success and red if any expansions failed.

3.  **Code Refinements:**\n    -   Ensured `chalk` and `boxen` are imported in `expand-all-tasks.js` for the new summary box.\n    -   Minor adjustments to logging messages for clarity.
2025-05-08 18:22:00 -04:00
Eyal Toledano
ab84afd036 feat(telemetry): Integrate usage telemetry for expand-task, fix return types
This commit integrates AI usage telemetry for the `expand-task` command/tool and resolves issues related to incorrect return type handling and logging.

Key Changes:

1.  **Telemetry Integration for `expand-task` (Subtask 77.7):**\n    -   Applied the standard telemetry pattern to the `expandTask` core logic (`scripts/modules/task-manager/expand-task.js`) and the `expandTaskDirect` wrapper (`mcp-server/src/core/direct-functions/expand-task.js`).\n    -   AI service calls now pass `commandName` and `outputType`.\n    -   Core function returns `{ task, telemetryData }`.\n    -   Direct function correctly extracts `task` and passes `telemetryData` in the MCP response `data` field.\n    -   Telemetry summary is now displayed in the CLI output for the `expand` command.

2.  **Fix AI Service Return Type Handling (`ai-services-unified.js`):**\n    -   Corrected the `_unifiedServiceRunner` function to properly handle the return objects from provider-specific functions (`generateText`, `generateObject`).\n    -   It now correctly extracts `providerResponse.text` or `providerResponse.object` into the `mainResult` field based on `serviceType`, resolving the "text.trim is not a function" error encountered during `expand-task`.

3.  **Log Cleanup:**\n    -   Removed various redundant or excessive `console.log` statements across multiple files (as indicated by recent changes) to reduce noise and improve clarity, particularly for MCP interactions.
2025-05-08 16:02:23 -04:00
Eyal Toledano
f89d2aacc0 feat(telemetry): Integrate AI usage telemetry into parse-prd
Implements AI usage telemetry capture and propagation for the  command and MCP tool, following the established telemetry pattern.

Key changes:

-   **Core ():**
    -   Modified the  call to include  and .
    -   Updated to receive  from .
    -   Adjusted to return an object .
    -   Added a call to  to show telemetry data in the CLI output when not in MCP mode.

-   **Direct Function ():**
    -   Updated the call to the core  function to pass , , and .
    -   Modified to correctly handle the new return structure from the core function.
    -   Ensures  received from the core function is included in the  field of the successful MCP response.

-   **MCP Tool ():**
    -   No changes required; existing  correctly passes through the  object containing .

-   **CLI Command ():**
    -   The  command's action now relies on the core  function to handle CLI success messages and telemetry display.

This ensures that AI usage for the  functionality is tracked and can be displayed or logged as appropriate for both CLI and MCP interactions.
2025-05-07 14:22:42 -04:00
Eyal Toledano
0288311965 fix(parse-prd): resolves issue preventing --append flag from properly working in the CLI context. Adds changeset. 2025-05-07 14:17:41 -04:00
Eyal Toledano
8ae772086d fix(next): adjusts CLI output for next when the result is a subtask. previously incorrect suggested creating subtasks for the subtask. 2025-05-07 14:07:50 -04:00
Eyal Toledano
2b3ae8bf89 tests: adjusts the tests to properly pass. 2025-05-07 13:54:01 -04:00
Eyal Toledano
245c3cb398 feat(telemetry): Implement AI usage telemetry pattern and apply to add-task
This commit introduces a standardized pattern for capturing and propagating AI usage telemetry (cost, tokens, model used) across the Task Master stack and applies it to the 'add-task' functionality.

Key changes include:

- **Telemetry Pattern Definition:**
  - Added  defining the integration pattern for core logic, direct functions, MCP tools, and CLI commands.
  - Updated related rules (, ,
 Usage: mcp [OPTIONS] COMMAND [ARGS]...

 MCP development tools

╭─ Options ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ --help          Show this message and exit.                                                                                                │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─ Commands ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ version   Show the MCP version.                                                                                                            │
│ dev       Run a MCP server with the MCP Inspector.                                                                                         │
│ run       Run a MCP server.                                                                                                                │
│ install   Install a MCP server in the Claude desktop app.                                                                                  │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯, , ) to reference the new telemetry rule.

- **Core Telemetry Implementation ():**
  - Refactored the unified AI service to generate and return a  object alongside the main AI result.
  - Fixed an MCP server startup crash by removing redundant local loading of  and instead using the  imported from  for cost calculations.
  - Added  to the  object.

- ** Integration:**
  - Modified  (core) to receive  from the AI service, return it, and call the new UI display function for CLI output.
  - Updated  to receive  from the core function and include it in the  payload of its response.
  - Ensured  (MCP tool) correctly passes the  through via .
  - Updated  to correctly pass context (, ) to the core  function and rely on it for CLI telemetry display.

- **UI Enhancement:**
  - Added  function to  to show telemetry details in the CLI.

- **Project Management:**
  - Added subtasks 77.6 through 77.12 to track the rollout of this telemetry pattern to other AI-powered commands (, , , , , , ).

This establishes the foundation for tracking AI usage across the application.
2025-05-07 13:41:25 -04:00
Ralph Khreish
09d839fff5 Merge pull request #405 from eyaltoledano/changeset-release/main
Version Packages
2025-05-03 20:46:10 +02:00
github-actions[bot]
90068348d3 Version Packages 2025-05-03 18:13:24 +00:00
Ralph Khreish
02e347d2d7 Merge pull request #404 from eyaltoledano/next
Release 0.13.2
2025-05-03 20:13:05 +02:00
Ralph Khreish
0527c363e3 Merge remote-tracking branch 'origin/main' into next 2025-05-03 19:32:07 +02:00
Ralph Khreish
735135efe9 chore: allow github actions to commit 2025-05-03 19:24:00 +02:00
Ralph Khreish
4fee667a05 chore: improve pre-release workflow 2025-05-03 19:07:42 +02:00
Ralph Khreish
01963af2cb 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
2025-05-03 18:55:18 +02:00
Ralph Khreish
0633895f3b Version Packages (#401)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2025-05-03 17:02:05 +02:00
github-actions[bot]
10442c1119 Version Packages 2025-05-03 14:56:40 +00:00
Ralph Khreish
734a4fdcfc hotfix: move production package to "dependencies" (#399) 2025-05-03 16:56:17 +02:00
Ralph Khreish
8dace2186c Merge pull request #390 from eyaltoledano/changeset-release/main
Version Packages
2025-05-03 10:17:11 +02:00
github-actions[bot]
095e373843 Version Packages 2025-05-03 08:14:02 +00:00
Ralph Khreish
0bc9bac392 Merge pull request #369 from eyaltoledano/next
Release 0.13.0
2025-05-03 10:13:43 +02:00
403 changed files with 59829 additions and 23472 deletions

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@@ -1,5 +0,0 @@
---
'task-master-ai': patch
---
- Add support for Google Gemini models via Vercel AI SDK integration.

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@@ -1,5 +0,0 @@
---
'task-master-ai': patch
---
Add xAI provider and Grok models support

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@@ -0,0 +1,12 @@
---
"task-master-ai": patch
---
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

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@@ -1,8 +0,0 @@
---
'task-master-ai': minor
---
feat(expand): Enhance `expand` and `expand-all` commands
- Integrate `task-complexity-report.json` to automatically determine the number of subtasks and use tailored prompts for expansion based on prior analysis. You no longer need to try copy-pasting the recommended prompt. If it exists, it will use it for you. You can just run `task-master update --id=[id of task] --research` and it will use that prompt automatically. No extra prompt needed.
- Change default behavior to *append* new subtasks to existing ones. Use the `--force` flag to clear existing subtasks before expanding. This is helpful if you need to add more subtasks to a task but you want to do it by the batch from a given prompt. Use force if you want to start fresh with a task's subtasks.

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@@ -1,9 +0,0 @@
---
'task-master-ai': patch
---
Better support for file paths on Windows, Linux & WSL.
- Standardizes handling of different path formats (URI encoded, Windows, Linux, WSL).
- Ensures tools receive a clean, absolute path suitable for the server OS.
- Simplifies tool implementation by centralizing normalization logic.

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@@ -1,7 +0,0 @@
---
'task-master-ai': minor
---
Adds support for the OpenRouter AI provider. Users can now configure models available through OpenRouter (requiring an `OPENROUTER_API_KEY`) via the `task-master models` command, granting access to a wide range of additional LLMs.
- IMPORTANT FYI ABOUT OPENROUTER: Taskmaster relies on AI SDK, which itself relies on tool use. It looks like **free** models sometimes do not include tool use. For example, Gemini 2.5 pro (free) failed via OpenRouter (no tool use) but worked fine on the paid version of the model. Custom model support for Open Router is considered experimental and likely will not be further improved for some time.

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@@ -1,5 +0,0 @@
---
'task-master-ai': patch
---
Add integration for Roo Code

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@@ -1,8 +0,0 @@
---
'task-master-ai': patch
---
Improved update-subtask
- Now it has context about the parent task details
- It also has context about the subtask before it and the subtask after it (if they exist)
- Not passing all subtasks to stay token efficient

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@@ -1,13 +0,0 @@
---
'task-master-ai': patch
---
Improve and adjust `init` command for robustness and updated dependencies.
- **Update Initialization Dependencies:** Ensure newly initialized projects (`task-master init`) include all required AI SDK dependencies (`@ai-sdk/*`, `ai`, provider wrappers) in their `package.json` for out-of-the-box AI feature compatibility. Remove unnecessary dependencies (e.g., `uuid`) from the init template.
- **Silence `npm install` during `init`:** Prevent `npm install` output from interfering with non-interactive/MCP initialization by suppressing its stdio in silent mode.
- **Improve Conditional Model Setup:** Reliably skip interactive `models --setup` during non-interactive `init` runs (e.g., `init -y` or MCP) by checking `isSilentMode()` instead of passing flags.
- **Refactor `init.js`:** Remove internal `isInteractive` flag logic.
- **Update `init` Instructions:** Tweak the "Getting Started" text displayed after `init`.
- **Fix MCP Server Launch:** Update `.cursor/mcp.json` template to use `node ./mcp-server/server.js` instead of `npx task-master-mcp`.
- **Update Default Model:** Change the default main model in the `.taskmasterconfig` template.

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@@ -1,5 +0,0 @@
---
'task-master-ai': patch
---
Fixes an issue with add-task which did not use the manually defined properties and still needlessly hit the AI endpoint.

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@@ -0,0 +1,8 @@
---
"task-master-ai": minor
---
Can now configure baseURL of provider with `<PROVIDER>_BASE_URL`
- For example:
- `OPENAI_BASE_URL`

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@@ -0,0 +1,17 @@
---
'task-master-ai': minor
---
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

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@@ -1,5 +0,0 @@
---
'task-master-ai': minor
---
Adds model management and new configuration file .taskmasterconfig which houses the models used for main, research and fallback. Adds models command and setter flags. Adds a --setup flag with an interactive setup. We should be calling this during init. Shows a table of active and available models when models is called without flags. Includes SWE scores and token costs, which are manually entered into the supported_models.json, the new place where models are defined for support. Config-manager.js is the core module responsible for managing the new config."

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@@ -0,0 +1,5 @@
---
"task-master-ai": patch
---
Improves Amazon Bedrock support

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@@ -1,5 +0,0 @@
---
'task-master-ai': patch
---
Fixes an issue that prevented remove-subtask with comma separated tasks/subtasks from being deleted (only the first ID was being deleted). Closes #140

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@@ -1,10 +0,0 @@
---
'task-master-ai': patch
---
Improves next command to be subtask-aware
- The logic for determining the "next task" (findNextTask function, used by task-master next and the next_task MCP tool) has been significantly improved. Previously, it only considered top-level tasks, making its recommendation less useful when a parent task containing subtasks was already marked 'in-progress'.
- The updated logic now prioritizes finding the next available subtask within any 'in-progress' parent task, considering subtask dependencies and priority.
- If no suitable subtask is found within active parent tasks, it falls back to recommending the next eligible top-level task based on the original criteria (status, dependencies, priority).
This change makes the next command much more relevant and helpful during the implementation phase of complex tasks.

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@@ -1,11 +0,0 @@
---
'task-master-ai': minor
---
Adds custom model ID support for Ollama and OpenRouter providers.
- Adds the `--ollama` and `--openrouter` flags to `task-master models --set-<role>` command to set models for those providers outside of the support models list.
- Updated `task-master models --setup` interactive mode with options to explicitly enter custom Ollama or OpenRouter model IDs.
- Implemented live validation against OpenRouter API (`/api/v1/models`) when setting a custom OpenRouter model ID (via flag or setup).
- Refined logic to prioritize explicit provider flags/choices over internal model list lookups in case of ID conflicts.
- Added warnings when setting custom/unvalidated models.
- We obviously don't recommend going with a custom, unproven model. If you do and find performance is good, please let us know so we can add it to the list of supported models.

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@@ -1,5 +0,0 @@
---
'task-master-ai': patch
---
Add `--status` flag to `show` command to filter displayed subtasks.

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@@ -1,29 +0,0 @@
{
"mode": "pre",
"tag": "rc",
"initialVersions": {
"task-master-ai": "0.12.1"
},
"changesets": [
"beige-rats-accept",
"blue-spies-kick",
"cuddly-zebras-matter",
"curvy-candies-eat",
"easy-toys-wash",
"every-stars-sell",
"fine-monkeys-eat",
"fine-signs-add",
"gentle-views-jump",
"mighty-mirrors-watch",
"neat-donkeys-shave",
"nine-rocks-sink",
"ninety-ghosts-relax",
"ninety-wombats-pull",
"public-cooks-fetch",
"red-oranges-attend",
"red-suns-wash",
"tricky-papayas-hang",
"violet-papayas-see",
"violet-parrots-march"
]
}

View File

@@ -1,7 +0,0 @@
---
'task-master-ai': minor
---
Integrate OpenAI as a new AI provider.
- Enhance `models` command/tool to display API key status.
- Implement model-specific `maxTokens` override based on `supported-models.json` to save you if you use an incorrect max token value.

View File

@@ -1,5 +0,0 @@
---
'task-master-ai': patch
---
Fix ERR_MODULE_NOT_FOUND when trying to run MCP Server

View File

@@ -1,5 +0,0 @@
---
'task-master-ai': patch
---
Add src directory to exports

View File

@@ -0,0 +1,5 @@
---
"task-master-ai": minor
---
Add better support for python projects by adding `pyproject.toml` as a projectRoot marker

View File

@@ -0,0 +1,11 @@
---
"task-master-ai": patch
---
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`

View File

@@ -0,0 +1,5 @@
---
"task-master-ai": patch
---
Fix weird `task-master init` bug when using in certain environments

View File

@@ -0,0 +1,5 @@
---
"task-master-ai": patch
---
Rename Roo Code Boomerang role to Orchestrator

View File

@@ -0,0 +1,5 @@
---
"task-master-ai": patch
---
Improve mcp keys check in cursor

View File

@@ -1,9 +0,0 @@
---
'task-master-ai': minor
---
Tweaks Perplexity AI calls for research mode to max out input tokens and get day-fresh information
- Forces temp at 0.1 for highly deterministic output, no variations
- Adds a system prompt to further improve the output
- Correctly uses the maximum input tokens (8,719, used 8,700) for perplexity
- Specificies to use a high degree of research across the web
- Specifies to use information that is as fresh as today; this support stuff like capturing brand new announcements like new GPT models and being able to query for those in research. 🔥

View File

@@ -0,0 +1,22 @@
---
"task-master-ai": minor
---
- **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

View File

@@ -1,5 +0,0 @@
---
'task-master-ai': patch
---
Fix --task to --num-tasks in ui + related tests - issue #324

View File

@@ -1,9 +0,0 @@
---
'task-master-ai': patch
---
Adds a 'models' CLI and MCP command to get the current model configuration, available models, and gives the ability to set main/research/fallback models."
- In the CLI, `task-master models` shows the current models config. Using the `--setup` flag launches an interactive set up that allows you to easily select the models you want to use for each of the three roles. Use `q` during the interactive setup to cancel the setup.
- In the MCP, responses are simplified in RESTful format (instead of the full CLI output). The agent can use the `models` tool with different arguments, including `listAvailableModels` to get available models. Run without arguments, it will return the current configuration. Arguments are available to set the model for each of the three roles. This allows you to manage Taskmaster AI providers and models directly from either the CLI or MCP or both.
- Updated the CLI help menu when you run `task-master` to include missing commands and .taskmasterconfig information.
- Adds `--research` flag to `add-task` so you can hit up Perplexity right from the add-task flow, rather than having to add a task and then update it.

View File

@@ -0,0 +1,22 @@
---
"task-master-ai": minor
---
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.

View File

@@ -12,7 +12,8 @@
"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"
"OLLAMA_API_KEY": "OLLAMA_API_KEY_HERE",
"GITHUB_API_KEY": "GITHUB_API_KEY_HERE"
}
}
}

View File

@@ -25,6 +25,7 @@ This document outlines the architecture and usage patterns for interacting with
* Implements **retry logic** for specific API errors (`_attemptProviderCallWithRetries`).
* Resolves API keys automatically via `_resolveApiKey` (using `resolveEnvVariable`).
* Maps requests to the correct provider implementation (in `src/ai-providers/`) via `PROVIDER_FUNCTIONS`.
* Returns a structured object containing the primary AI result (`mainResult`) and telemetry data (`telemetryData`). See [`telemetry.mdc`](mdc:.cursor/rules/telemetry.mdc) for details on how this telemetry data is propagated and handled.
* **Provider Implementations (`src/ai-providers/*.js`):**
* Contain provider-specific wrappers around Vercel AI SDK functions (`generateText`, `generateObject`).

View File

@@ -20,19 +20,21 @@ alwaysApply: false
- **[`task-manager.js`](mdc:scripts/modules/task-manager.js) & `task-manager/` directory: Task Data & Core Logic**
- **Purpose**: Contains core functions for task data manipulation (CRUD), AI interactions, and related logic.
- **Responsibilities**:
- Reading/writing `tasks.json`.
- Reading/writing `tasks.json` with tagged task lists support.
- Implementing functions for task CRUD, parsing PRDs, expanding tasks, updating status, etc.
- **Tagged Task Lists**: Handles task organization across multiple contexts (tags) like "master", branch names, or project phases.
- **Tag Resolution**: Provides backward compatibility by resolving tagged format to legacy format transparently.
- **Delegating AI interactions** to the `ai-services-unified.js` layer.
- Accessing non-AI configuration via `config-manager.js` getters.
- **Key Files**: Individual files within `scripts/modules/task-manager/` handle specific actions (e.g., `add-task.js`, `expand-task.js`).
- **[`dependency-manager.js`](mdc:scripts/modules/dependency-manager.js): Dependency Management**
- **Purpose**: Manages task dependencies.
- **Responsibilities**: Add/remove/validate/fix dependencies.
- **Responsibilities**: Add/remove/validate/fix dependencies across tagged task contexts.
- **[`ui.js`](mdc:scripts/modules/ui.js): User Interface Components**
- **Purpose**: Handles CLI output formatting (tables, colors, boxes, spinners).
- **Responsibilities**: Displaying tasks, reports, progress, suggestions.
- **Responsibilities**: Displaying tasks, reports, progress, suggestions, and migration notices for tagged systems.
- **[`ai-services-unified.js`](mdc:scripts/modules/ai-services-unified.js): Unified AI Service Layer**
- **Purpose**: Centralized interface for all LLM interactions using Vercel AI SDK.
@@ -42,6 +44,7 @@ alwaysApply: false
- Resolves API keys (from `.env` or `session.env`).
- Implements fallback and retry logic.
- Orchestrates calls to provider-specific implementations (`src/ai-providers/`).
- Telemetry data generated by the AI service layer is propagated upwards through core logic, direct functions, and MCP tools. See [`telemetry.mdc`](mdc:.cursor/rules/telemetry.mdc) for the detailed integration pattern.
- **[`src/ai-providers/*.js`](mdc:src/ai-providers/): Provider-Specific Implementations**
- **Purpose**: Provider-specific wrappers for Vercel AI SDK functions.
@@ -52,6 +55,7 @@ alwaysApply: false
- **Responsibilities** (See also: [`utilities.mdc`](mdc:.cursor/rules/utilities.mdc)):
- Reads and merges `.taskmasterconfig` with defaults.
- Provides getters (e.g., `getMainProvider`, `getLogLevel`, `getDefaultSubtasks`) for accessing settings.
- **Tag Configuration**: Manages `global.defaultTag` and `tags` section for tag system settings.
- **Note**: Does **not** store or directly handle API keys (keys are in `.env` or MCP `session.env`).
- **[`utils.js`](mdc:scripts/modules/utils.js): Core Utility Functions**
@@ -61,6 +65,8 @@ alwaysApply: false
- Task utils (`findTaskById`), Dependency utils (`findCycles`).
- API Key Resolution (`resolveEnvVariable`).
- Silent Mode Control (`enableSilentMode`, `disableSilentMode`).
- **Tagged Task Lists**: Silent migration system, tag resolution, current tag management.
- **Migration System**: `performCompleteTagMigration`, `migrateConfigJson`, `createStateJson`.
- **[`mcp-server/`](mdc:mcp-server/): MCP Server Integration**
- **Purpose**: Provides MCP interface using FastMCP.
@@ -70,16 +76,42 @@ alwaysApply: false
- Tool `execute` methods call **direct function wrappers** (`mcp-server/src/core/direct-functions/*.js`), passing the normalized `projectRoot` and other args.
- Direct functions use path utilities (`mcp-server/src/core/utils/`) to resolve paths based on `projectRoot` from session.
- Direct functions implement silent mode, logger wrappers, and call core logic functions from `scripts/modules/`.
- **Tagged Task Lists**: MCP tools fully support the tagged format with complete tag management capabilities.
- Manages MCP caching and response formatting.
- **[`init.js`](mdc:scripts/init.js): Project Initialization Logic**
- **Purpose**: Sets up new Task Master project structure.
- **Responsibilities**: Creates directories, copies templates, manages `package.json`, sets up `.cursor/mcp.json`.
- **Responsibilities**: Creates directories, copies templates, manages `package.json`, sets up `.cursor/mcp.json`, initializes state.json for tagged system.
## Tagged Task Lists System Architecture
**Data Structure**: Task Master now uses a tagged task lists system where the `tasks.json` file contains multiple named task lists as top-level keys:
```json
{
"master": {
"tasks": [/* standard task objects */]
},
"feature-branch": {
"tasks": [/* separate task context */]
}
}
```
**Key Components:**
- **Silent Migration**: Automatically transforms legacy `{"tasks": [...]}` format to tagged format `{"master": {"tasks": [...]}}` on first read
- **Tag Resolution Layer**: Provides 100% backward compatibility by intercepting tagged format and returning legacy format to existing code
- **Configuration Integration**: `global.defaultTag` and `tags` section in config.json manage tag system settings
- **State Management**: `.taskmaster/state.json` tracks current tag, migration status, and tag-branch mappings
- **Migration Notice**: User-friendly notification system for seamless migration experience
**Backward Compatibility**: All existing CLI commands and MCP tools continue to work unchanged. The tag resolution layer ensures that existing code receives the expected legacy format while the underlying storage uses the new tagged structure.
- **Data Flow and Module Dependencies (Updated)**:
- **CLI**: `bin/task-master.js` -> `scripts/dev.js` (loads `.env`) -> `scripts/modules/commands.js` -> Core Logic (`scripts/modules/*`) -> Unified AI Service (`ai-services-unified.js`) -> Provider Adapters -> LLM API.
- **MCP**: External Tool -> `mcp-server/server.js` -> Tool (`mcp-server/src/tools/*`) -> Direct Function (`mcp-server/src/core/direct-functions/*`) -> Core Logic (`scripts/modules/*`) -> Unified AI Service (`ai-services-unified.js`) -> Provider Adapters -> LLM API.
- **CLI**: `bin/task-master.js` -> `scripts/dev.js` (loads `.env`) -> `scripts/modules/commands.js` -> Core Logic (`scripts/modules/*`) -> **Tag Resolution Layer** -> Unified AI Service (`ai-services-unified.js`) -> Provider Adapters -> LLM API.
- **MCP**: External Tool -> `mcp-server/server.js` -> Tool (`mcp-server/src/tools/*`) -> Direct Function (`mcp-server/src/core/direct-functions/*`) -> Core Logic (`scripts/modules/*`) -> **Tag Resolution Layer** -> Unified AI Service (`ai-services-unified.js`) -> Provider Adapters -> LLM API.
- **Configuration**: Core logic needing non-AI settings calls `config-manager.js` getters (passing `session.env` via `explicitRoot` if from MCP). Unified AI Service internally calls `config-manager.js` getters (using `role`) for AI params and `utils.js` (`resolveEnvVariable` with `session.env`) for API keys.
## Silent Mode Implementation Pattern in MCP Direct Functions
@@ -196,6 +228,7 @@ By following these patterns consistently, direct functions will properly manage
- **Integration Tests**: Located in `tests/integration/`, test interactions between modules
- **End-to-End Tests**: Located in `tests/e2e/`, test complete workflows from a user perspective
- **Test Fixtures**: Located in `tests/fixtures/`, provide reusable test data
- **Tagged System Tests**: Test migration, tag resolution, and multi-context functionality
- **Module Design for Testability**:
- **Explicit Dependencies**: Functions accept their dependencies as parameters rather than using globals
@@ -204,12 +237,14 @@ By following these patterns consistently, direct functions will properly manage
- **Clear Module Interfaces**: Each module has well-defined exports that can be mocked in tests
- **Callback Isolation**: Callbacks are defined as separate functions for easier testing
- **Stateless Design**: Modules avoid maintaining internal state where possible
- **Tag Resolution Testing**: Test both tagged and legacy format handling
- **Mock Integration Patterns**:
- **External Libraries**: Libraries like `fs`, `commander`, and `@anthropic-ai/sdk` are mocked at module level
- **Internal Modules**: Application modules are mocked with appropriate spy functions
- **Testing Function Callbacks**: Callbacks are extracted from mock call arguments and tested in isolation
- **UI Elements**: Output functions from `ui.js` are mocked to verify display calls
- **Tagged Data Mocking**: Test both legacy and tagged task data structures
- **Testing Flow**:
- Module dependencies are mocked (following Jest's hoisting behavior)
@@ -217,6 +252,7 @@ By following these patterns consistently, direct functions will properly manage
- Spy functions are set up on module methods
- Tests call the functions under test and verify behavior
- Mocks are reset between test cases to maintain isolation
- Tagged system behavior is tested for both migration and normal operation
- **Benefits of this Architecture**:
@@ -225,8 +261,11 @@ By following these patterns consistently, direct functions will properly manage
- **Mocking Support**: The clear dependency boundaries make mocking straightforward
- **Test Isolation**: Each component can be tested without affecting others
- **Callback Testing**: Function callbacks can be extracted and tested independently
- **Multi-Context Testing**: Tagged system enables testing different task contexts independently
- **Reusability**: Utility functions and UI components can be reused across different parts of the application.
- **Scalability**: New features can be added as new modules or by extending existing ones without significantly impacting other parts of the application.
- **Multi-Context Support**: Tagged task lists enable working across different contexts (branches, environments, phases) without conflicts.
- **Backward Compatibility**: Seamless migration and tag resolution ensure existing workflows continue unchanged.
- **Clarity**: The modular structure provides a clear separation of concerns, making the codebase easier to navigate and understand for developers.
This architectural overview should help AI models understand the structure and organization of the Task Master CLI codebase, enabling them to more effectively assist with code generation, modification, and understanding.
@@ -248,6 +287,7 @@ Follow these steps to add MCP support for an existing Task Master command (see [
- Call core logic.
- Return `{ success: true/false, data/error, fromCache: boolean }`.
- Export the wrapper function.
- **Note**: Tag-aware MCP tools are fully implemented with complete tag management support.
3. **Update `task-master-core.js` with Import/Export**: Add imports/exports for the new `*Direct` function.
@@ -274,12 +314,8 @@ The `initialize_project` command provides a way to set up a new Task Master proj
- **MCP Tool**: `initialize_project`
- **Functionality**:
- Creates necessary directories and files for a new project
- Sets up `tasks.json` and initial task files
- Configures project metadata (name, description, version)
- Handles shell alias creation if requested
- Works in both interactive and non-interactive modes
- Creates necessary directories and files for a new project
- Sets up `tasks.json` and initial task files
- Sets up `tasks.json` with tagged structure and initial task files
- Configures project metadata (name, description, version)
- Initializes state.json for tag system
- Handles shell alias creation if requested
- Works in both interactive and non-interactive modes

View File

@@ -329,6 +329,60 @@ When implementing commands that delete or remove data (like `remove-task` or `re
};
```
## Context-Aware Command Pattern
For AI-powered commands that benefit from project context, follow the research command pattern:
- **Context Integration**:
- ✅ DO: Use `ContextGatherer` utility for multi-source context extraction
- ✅ DO: Support task IDs, file paths, custom context, and project tree
- ✅ DO: Implement fuzzy search for automatic task discovery
- ✅ DO: Display detailed token breakdown for transparency
```javascript
// ✅ DO: Follow this pattern for context-aware commands
programInstance
.command('research')
.description('Perform AI-powered research queries with project context')
.argument('<prompt>', 'Research prompt to investigate')
.option('-i, --id <ids>', 'Comma-separated task/subtask IDs to include as context')
.option('-f, --files <paths>', 'Comma-separated file paths to include as context')
.option('-c, --context <text>', 'Additional custom context')
.option('--tree', 'Include project file tree structure')
.option('-d, --detail <level>', 'Output detail level: low, medium, high', 'medium')
.action(async (prompt, options) => {
// 1. Parameter validation and parsing
const taskIds = options.id ? parseTaskIds(options.id) : [];
const filePaths = options.files ? parseFilePaths(options.files) : [];
// 2. Initialize context gatherer
const projectRoot = findProjectRoot() || '.';
const gatherer = new ContextGatherer(projectRoot, tasksPath);
// 3. Auto-discover relevant tasks if none specified
if (taskIds.length === 0) {
const fuzzySearch = new FuzzyTaskSearch(tasksData.tasks, 'research');
const discoveredIds = fuzzySearch.getTaskIds(
fuzzySearch.findRelevantTasks(prompt)
);
taskIds.push(...discoveredIds);
}
// 4. Gather context with token breakdown
const contextResult = await gatherer.gather({
tasks: taskIds,
files: filePaths,
customContext: options.context,
includeProjectTree: options.projectTree,
format: 'research',
includeTokenCounts: true
});
// 5. Display token breakdown and execute AI call
// Implementation continues...
});
```
## Error Handling
- **Exception Management**:

View File

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

View File

@@ -1,23 +1,205 @@
---
description: Guide for using Task Master to manage task-driven development workflows
description: Guide for using Taskmaster to manage task-driven development workflows
globs: **/*
alwaysApply: true
---
# Task Master Development Workflow
This guide outlines the typical process for using Task Master to manage software development projects.
# 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`](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
- Review complexity report using `complexity_report` / `task-master complexity-report` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc))
- Select tasks based on dependencies (all marked 'done'), priority level, and ID order
- View specific task details using `get_task` / `task-master show <id>` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to understand implementation requirements
- Break down complex tasks using `expand_task` / `task-master expand --id=<id> --force --research` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) with appropriate flags like `--force` (to replace existing subtasks) and `--research`
- Implement code following task details, dependencies, and project standards
- Mark completed tasks with `set_task_status` / `task-master set-status --id=<id> --status=done` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc))
- Update dependent tasks when implementation differs from original plan using `update` / `task-master update --from=<id> --prompt="..."` or `update_task` / `task-master update-task --id=<id> --prompt="..."` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc))
---
## Leveling Up: Agent-Led Multi-Context Workflows
While the basic workflow is powerful, your primary opportunity to add value is by identifying when to introduce **Tagged Task Lists**. These patterns are your tools for creating a more organized and efficient development environment for the user, especially if you detect agentic or parallel development happening across the same session.
**Critical Principle**: Most users should never see a difference in their experience. Only introduce advanced workflows when you detect clear indicators that the project has evolved beyond simple task management.
### When to Introduce Tags: Your Decision Patterns
Here are the patterns to look for. When you detect one, you should propose the corresponding workflow to the user.
#### Pattern 1: Simple Git Feature Branching
This is the most common and direct use case for tags.
- **Trigger**: The user creates a new git branch (e.g., `git checkout -b feature/user-auth`).
- **Your Action**: Propose creating a new tag that mirrors the branch name to isolate the feature's tasks from `master`.
- **Your Suggested Prompt**: *"I see you've created a new branch named 'feature/user-auth'. To keep all related tasks neatly organized and separate from your main list, I can create a corresponding task tag for you. This helps prevent merge conflicts in your `tasks.json` file later. Shall I create the 'feature-user-auth' tag?"*
- **Tool to Use**: `task-master add-tag --from-branch`
#### Pattern 2: Team Collaboration
- **Trigger**: The user mentions working with teammates (e.g., "My teammate Alice is handling the database schema," or "I need to review Bob's work on the API.").
- **Your Action**: Suggest creating a separate tag for the user's work to prevent conflicts with shared master context.
- **Your Suggested Prompt**: *"Since you're working with Alice, I can create a separate task context for your work to avoid conflicts. This way, Alice can continue working with the master list while you have your own isolated context. When you're ready to merge your work, we can coordinate the tasks back to master. Shall I create a tag for your current work?"*
- **Tool to Use**: `task-master add-tag my-work --copy-from-current --description="My tasks while collaborating with Alice"`
#### Pattern 3: Experiments or Risky Refactors
- **Trigger**: The user wants to try something that might not be kept (e.g., "I want to experiment with switching our state management library," or "Let's refactor the old API module, but I want to keep the current tasks as a reference.").
- **Your Action**: Propose creating a sandboxed tag for the experimental work.
- **Your Suggested Prompt**: *"This sounds like a great experiment. To keep these new tasks separate from our main plan, I can create a temporary 'experiment-zustand' tag for this work. If we decide not to proceed, we can simply delete the tag without affecting the main task list. Sound good?"*
- **Tool to Use**: `task-master add-tag experiment-zustand --description="Exploring Zustand migration"`
#### Pattern 4: Large Feature Initiatives (PRD-Driven)
This is a more structured approach for significant new features or epics.
- **Trigger**: The user describes a large, multi-step feature that would benefit from a formal plan.
- **Your Action**: Propose a comprehensive, PRD-driven workflow.
- **Your Suggested Prompt**: *"This sounds like a significant new feature. To manage this effectively, I suggest we create a dedicated task context for it. Here's the plan: I'll create a new tag called 'feature-xyz', then we can draft a Product Requirements Document (PRD) together to scope the work. Once the PRD is ready, I'll automatically generate all the necessary tasks within that new tag. How does that sound?"*
- **Your Implementation Flow**:
1. **Create an empty tag**: `task-master add-tag feature-xyz --description "Tasks for the new XYZ feature"`. You can also start by creating a git branch if applicable, and then create the tag from that branch.
2. **Collaborate & Create PRD**: Work with the user to create a detailed PRD file (e.g., `.taskmaster/docs/feature-xyz-prd.txt`).
3. **Parse PRD into the new tag**: `task-master parse-prd .taskmaster/docs/feature-xyz-prd.txt --tag feature-xyz`
4. **Prepare the new task list**: Follow up by suggesting `analyze-complexity` and `expand-all` for the newly created tasks within the `feature-xyz` tag.
#### Pattern 5: Version-Based Development
Tailor your approach based on the project maturity indicated by tag names.
- **Prototype/MVP Tags** (`prototype`, `mvp`, `poc`, `v0.x`):
- **Your Approach**: Focus on speed and functionality over perfection
- **Task Generation**: Create tasks that emphasize "get it working" over "get it perfect"
- **Complexity Level**: Lower complexity, fewer subtasks, more direct implementation paths
- **Research Prompts**: Include context like "This is a prototype - prioritize speed and basic functionality over optimization"
- **Example Prompt Addition**: *"Since this is for the MVP, I'll focus on tasks that get core functionality working quickly rather than over-engineering."*
- **Production/Mature Tags** (`v1.0+`, `production`, `stable`):
- **Your Approach**: Emphasize robustness, testing, and maintainability
- **Task Generation**: Include comprehensive error handling, testing, documentation, and optimization
- **Complexity Level**: Higher complexity, more detailed subtasks, thorough implementation paths
- **Research Prompts**: Include context like "This is for production - prioritize reliability, performance, and maintainability"
- **Example Prompt Addition**: *"Since this is for production, I'll ensure tasks include proper error handling, testing, and documentation."*
### Advanced Workflow (Tag-Based & PRD-Driven)
**When to Transition**: Recognize when the project has evolved (or has initiated a project which existing code) beyond simple task management. Look for these indicators:
- User mentions teammates or collaboration needs
- Project has grown to 15+ tasks with mixed priorities
- User creates feature branches or mentions major initiatives
- User initializes Taskmaster on an existing, complex codebase
- User describes large features that would benefit from dedicated planning
**Your Role in Transition**: Guide the user to a more sophisticated workflow that leverages tags for organization and PRDs for comprehensive planning.
#### Master List Strategy (High-Value Focus)
Once you transition to tag-based workflows, the `master` tag should ideally contain only:
- **High-level deliverables** that provide significant business value
- **Major milestones** and epic-level features
- **Critical infrastructure** work that affects the entire project
- **Release-blocking** items
**What NOT to put in master**:
- Detailed implementation subtasks (these go in feature-specific tags' parent tasks)
- Refactoring work (create dedicated tags like `refactor-auth`)
- Experimental features (use `experiment-*` tags)
- Team member-specific tasks (use person-specific tags)
#### PRD-Driven Feature Development
**For New Major Features**:
1. **Identify the Initiative**: When user describes a significant feature
2. **Create Dedicated Tag**: `add_tag feature-[name] --description="[Feature description]"`
3. **Collaborative PRD Creation**: Work with user to create comprehensive PRD in `.taskmaster/docs/feature-[name]-prd.txt`
4. **Parse & Prepare**:
- `parse_prd .taskmaster/docs/feature-[name]-prd.txt --tag=feature-[name]`
- `analyze_project_complexity --tag=feature-[name] --research`
- `expand_all --tag=feature-[name] --research`
5. **Add Master Reference**: Create a high-level task in `master` that references the feature tag
**For Existing Codebase Analysis**:
When users initialize Taskmaster on existing projects:
1. **Codebase Discovery**: Use your native tools for producing deep context about the code base. You may use `research` tool with `--tree` and `--files` to collect up to date information using the existing architecture as context.
2. **Collaborative Assessment**: Work with user to identify improvement areas, technical debt, or new features
3. **Strategic PRD Creation**: Co-author PRDs that include:
- Current state analysis (based on your codebase research)
- Proposed improvements or new features
- Implementation strategy considering existing code
4. **Tag-Based Organization**: Parse PRDs into appropriate tags (`refactor-api`, `feature-dashboard`, `tech-debt`, etc.)
5. **Master List Curation**: Keep only the most valuable initiatives in master
The parse-prd's `--append` flag enables the user to parse multple PRDs within tags or across tags. PRDs should be focused and the number of tasks they are parsed into should be strategically chosen relative to the PRD's complexity and level of detail.
### Workflow Transition Examples
**Example 1: Simple → Team-Based**
```
User: "Alice is going to help with the API work"
Your Response: "Great! To avoid conflicts, I'll create a separate task context for your work. Alice can continue with the master list while you work in your own context. When you're ready to merge, we can coordinate the tasks back together."
Action: add_tag my-api-work --copy-from-current --description="My API tasks while collaborating with Alice"
```
**Example 2: Simple → PRD-Driven**
```
User: "I want to add a complete user dashboard with analytics, user management, and reporting"
Your Response: "This sounds like a major feature that would benefit from detailed planning. Let me create a dedicated context for this work and we can draft a PRD together to ensure we capture all requirements."
Actions:
1. add_tag feature-dashboard --description="User dashboard with analytics and management"
2. Collaborate on PRD creation
3. parse_prd dashboard-prd.txt --tag=feature-dashboard
4. Add high-level "User Dashboard" task to master
```
**Example 3: Existing Project → Strategic Planning**
```
User: "I just initialized Taskmaster on my existing React app. It's getting messy and I want to improve it."
Your Response: "Let me research your codebase to understand the current architecture, then we can create a strategic plan for improvements."
Actions:
1. research "Current React app architecture and improvement opportunities" --tree --files=src/
2. Collaborate on improvement PRD based on findings
3. Create tags for different improvement areas (refactor-components, improve-state-management, etc.)
4. Keep only major improvement initiatives in master
```
---
## Primary Interaction: MCP Server vs. CLI
Task Master offers two primary ways to interact:
Taskmaster offers two primary ways to interact:
1. **MCP Server (Recommended for Integrated Tools)**:
- For AI agents and integrated development environments (like Cursor), interacting via the **MCP server is the preferred method**.
- The MCP server exposes Task Master functionality through a set of tools (e.g., `get_tasks`, `add_subtask`).
- The MCP server exposes Taskmaster functionality through a set of tools (e.g., `get_tasks`, `add_subtask`).
- This method offers better performance, structured data exchange, and richer error handling compared to CLI parsing.
- Refer to [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc) for details on the MCP architecture and available tools.
- A comprehensive list and description of MCP tools and their corresponding CLI commands can be found in [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc).
- **Restart the MCP server** if core logic in `scripts/modules` or MCP tool/direct function definitions change.
- **Note**: MCP tools fully support tagged task lists with complete tag management capabilities.
2. **`task-master` CLI (For Users & Fallback)**:
- The global `task-master` command provides a user-friendly interface for direct terminal interaction.
@@ -25,30 +207,17 @@ Task Master offers two primary ways to interact:
- Install globally with `npm install -g task-master-ai` or use locally via `npx task-master-ai ...`.
- The CLI commands often mirror the MCP tools (e.g., `task-master list` corresponds to `get_tasks`).
- Refer to [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc) for a detailed command reference.
- **Tagged Task Lists**: CLI fully supports the new tagged system with seamless migration.
## Standard Development Workflow Process
## How the Tag System Works (For Your Reference)
- Start new projects by running `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
- Begin coding sessions with `get_tasks` / `task-master list` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to see current tasks, status, and IDs
- Determine the next task to work on using `next_task` / `task-master next` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)).
- Analyze task complexity with `analyze_project_complexity` / `task-master analyze-complexity --research` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) before breaking down tasks
- Review complexity report using `complexity_report` / `task-master complexity-report` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)).
- Select tasks based on dependencies (all marked 'done'), priority level, and ID order
- Clarify tasks by checking task files in tasks/ directory or asking for user input
- View specific task details using `get_task` / `task-master show <id>` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to understand implementation requirements
- Break down complex tasks using `expand_task` / `task-master expand --id=<id> --force --research` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) with appropriate flags like `--force` (to replace existing subtasks) and `--research`.
- Clear existing subtasks if needed using `clear_subtasks` / `task-master clear-subtasks --id=<id>` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) before regenerating
- Implement code following task details, dependencies, and project standards
- Verify tasks according to test strategies before marking as complete (See [`tests.mdc`](mdc:.cursor/rules/tests.mdc))
- Mark completed tasks with `set_task_status` / `task-master set-status --id=<id> --status=done` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc))
- Update dependent tasks when implementation differs from original plan using `update` / `task-master update --from=<id> --prompt="..."` or `update_task` / `task-master update-task --id=<id> --prompt="..."` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc))
- Add new tasks discovered during implementation using `add_task` / `task-master add-task --prompt="..." --research` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)).
- Add new subtasks as needed using `add_subtask` / `task-master add-subtask --parent=<id> --title="..."` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)).
- Append notes or details to subtasks using `update_subtask` / `task-master update-subtask --id=<subtaskId> --prompt='Add implementation notes here...\nMore details...'` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)).
- Generate task files with `generate` / `task-master generate` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) after updating tasks.json
- Maintain valid dependency structure with `add_dependency`/`remove_dependency` tools or `task-master add-dependency`/`remove-dependency` commands, `validate_dependencies` / `task-master validate-dependencies`, and `fix_dependencies` / `task-master fix-dependencies` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) when needed
- Respect dependency chains and task priorities when selecting work
- Report progress regularly using `get_tasks` / `task-master list`
- **Data Structure**: Tasks are organized into separate contexts (tags) like "master", "feature-branch", or "v2.0".
- **Silent Migration**: Existing projects automatically migrate to use a "master" tag with zero disruption.
- **Context Isolation**: Tasks in different tags are completely separate. Changes in one tag do not affect any other tag.
- **Manual Control**: The user is always in control. There is no automatic switching. You facilitate switching by using `use-tag <name>`.
- **Full CLI & MCP Support**: All tag management commands are available through both the CLI and MCP tools for you to use. Refer to [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc) for a full command list.
---
## Task Complexity Analysis
@@ -103,12 +272,13 @@ Task Master offers two primary ways to interact:
Taskmaster configuration is managed through two main mechanisms:
1. **`.taskmasterconfig` File (Primary):**
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.
* 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.
@@ -116,10 +286,26 @@ Taskmaster configuration is managed through two main mechanisms:
* 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`).
**Important:** Non-API key settings (like model selections, `MAX_TOKENS`, `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.
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.
@@ -154,6 +340,25 @@ Taskmaster configuration is managed through two main mechanisms:
- 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:

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

View File

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

View File

@@ -522,3 +522,8 @@ Follow these steps to add MCP support for an existing Task Master command (see [
// Add more functions as implemented
};
```
## Telemetry Integration
- Direct functions calling core logic that involves AI should receive and pass through `telemetryData` within their successful `data` payload. See [`telemetry.mdc`](mdc:.cursor/rules/telemetry.mdc) for the standard pattern.
- MCP tools use `handleApiResult`, which ensures the `data` object (potentially including `telemetryData`) from the direct function is correctly included in the final response.

View File

@@ -3,7 +3,6 @@ description: Guidelines for integrating new features into the Task Master CLI
globs: scripts/modules/*.js
alwaysApply: false
---
# Task Master Feature Integration Guidelines
## Feature Placement Decision Process
@@ -25,17 +24,22 @@ alwaysApply: false
The standard pattern for adding a feature follows this workflow:
1. **Core Logic**: Implement the business logic in the appropriate module (e.g., [`task-manager.js`](mdc:scripts/modules/task-manager.js)).
2. **AI Integration (If Applicable)**:
2. **Context Gathering (If Applicable)**:
- For AI-powered commands that benefit from project context, use the standardized context gathering patterns from [`context_gathering.mdc`](mdc:.cursor/rules/context_gathering.mdc).
- Import `ContextGatherer` and `FuzzyTaskSearch` utilities for reusable context extraction.
- Support multiple context types: tasks, files, custom text, project tree.
- Implement detailed token breakdown display for transparency.
3. **AI Integration (If Applicable)**:
- Import necessary service functions (e.g., `generateTextService`, `streamTextService`) from [`ai-services-unified.js`](mdc:scripts/modules/ai-services-unified.js).
- Prepare parameters (`role`, `session`, `systemPrompt`, `prompt`).
- Call the service function.
- Handle the response (direct text or stream object).
- **Important**: Prefer `generateTextService` for calls sending large context (like stringified JSON) where incremental display is not needed. See [`ai_services.mdc`](mdc:.cursor/rules/ai_services.mdc) for detailed usage patterns and cautions.
3. **UI Components**: Add any display functions to [`ui.js`](mdc:scripts/modules/ui.js) following [`ui.mdc`](mdc:.cursor/rules/ui.mdc).
4. **Command Integration**: Add the CLI command to [`commands.js`](mdc:scripts/modules/commands.js) following [`commands.mdc`](mdc:.cursor/rules/commands.mdc).
5. **Testing**: Write tests for all components of the feature (following [`tests.mdc`](mdc:.cursor/rules/tests.mdc))
6. **Configuration**: Update configuration settings or add new ones in [`config-manager.js`](mdc:scripts/modules/config-manager.js) and ensure getters/setters are appropriate. Update documentation in [`utilities.mdc`](mdc:.cursor/rules/utilities.mdc) and [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc). Update the `.taskmasterconfig` structure if needed.
7. **Documentation**: Update help text and documentation in [`dev_workflow.mdc`](mdc:.cursor/rules/dev_workflow.mdc) and [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc).
4. **UI Components**: Add any display functions to [`ui.js`](mdc:scripts/modules/ui.js) following [`ui.mdc`](mdc:.cursor/rules/ui.mdc). Consider enhanced formatting with syntax highlighting for code blocks.
5. **Command Integration**: Add the CLI command to [`commands.js`](mdc:scripts/modules/commands.js) following [`commands.mdc`](mdc:.cursor/rules/commands.mdc).
6. **Testing**: Write tests for all components of the feature (following [`tests.mdc`](mdc:.cursor/rules/tests.mdc))
7. **Configuration**: Update configuration settings or add new ones in [`config-manager.js`](mdc:scripts/modules/config-manager.js) and ensure getters/setters are appropriate. Update documentation in [`utilities.mdc`](mdc:.cursor/rules/utilities.mdc) and [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc). Update the `.taskmasterconfig` structure if needed.
8. **Documentation**: Update help text and documentation in [`dev_workflow.mdc`](mdc:.cursor/rules/dev_workflow.mdc) and [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc).
## Critical Checklist for New Features
@@ -196,6 +200,8 @@ The standard pattern for adding a feature follows this workflow:
- ✅ **DO**: If an MCP tool fails with vague errors (e.g., JSON parsing issues like `Unexpected token ... is not valid JSON`), **try running the equivalent CLI command directly in the terminal** (e.g., `task-master expand --all`). CLI output often provides much more specific error messages (like missing function definitions or stack traces from the core logic) that pinpoint the root cause.
- ❌ **DON'T**: Rely solely on MCP logs if the error is unclear; use the CLI as a complementary debugging tool for core logic issues.
- **Telemetry Integration**: Ensure AI calls correctly handle and propagate `telemetryData` as described in [`telemetry.mdc`](mdc:.cursor/rules/telemetry.mdc).
```javascript
// 1. CORE LOGIC: Add function to appropriate module (example in task-manager.js)
/**
@@ -628,3 +634,287 @@ When implementing project initialization commands:
});
}
```
## Feature Planning
- **Core Logic First**:
- ✅ DO: Implement core logic in `scripts/modules/` before CLI or MCP interfaces
- ✅ DO: Consider tagged task lists system compatibility from the start
- ✅ DO: Design functions to work with both legacy and tagged data formats
- ✅ DO: Use tag resolution functions (`getTasksForTag`, `setTasksForTag`) for task data access
- ❌ DON'T: Directly manipulate tagged data structure in new features
```javascript
// ✅ DO: Design tagged-aware core functions
async function newFeatureCore(tasksPath, featureParams, options = {}) {
const tasksData = readJSON(tasksPath);
const currentTag = getCurrentTag() || 'master';
const tasks = getTasksForTag(tasksData, currentTag);
// Perform feature logic on tasks array
const result = performFeatureLogic(tasks, featureParams);
// Save back using tag resolution
setTasksForTag(tasksData, currentTag, tasks);
writeJSON(tasksPath, tasksData);
return result;
}
```
- **Backward Compatibility**:
- ✅ DO: Ensure new features work with existing projects seamlessly
- ✅ DO: Test with both legacy and tagged task data formats
- ✅ DO: Support silent migration during feature usage
- ❌ DON'T: Break existing workflows when adding tagged system features
## CLI Command Implementation
- **Command Structure**:
- ✅ DO: Follow the established pattern in [`commands.js`](mdc:scripts/modules/commands.js)
- ✅ DO: Use Commander.js for argument parsing
- ✅ DO: Include comprehensive help text and examples
- ✅ DO: Support tagged task context awareness
```javascript
// ✅ DO: Implement CLI commands with tagged system awareness
program
.command('new-feature')
.description('Description of the new feature with tagged task lists support')
.option('-t, --tag <tag>', 'Specify tag context (defaults to current tag)')
.option('-p, --param <value>', 'Feature-specific parameter')
.option('--force', 'Force operation without confirmation')
.action(async (options) => {
try {
const projectRoot = findProjectRoot();
if (!projectRoot) {
console.error('Not in a Task Master project directory');
process.exit(1);
}
// Use specified tag or current tag
const targetTag = options.tag || getCurrentTag() || 'master';
const result = await newFeatureCore(
path.join(projectRoot, '.taskmaster', 'tasks', 'tasks.json'),
{ param: options.param },
{
force: options.force,
targetTag: targetTag,
outputFormat: 'text'
}
);
console.log('Feature executed successfully');
} catch (error) {
console.error(`Error: ${error.message}`);
process.exit(1);
}
});
```
- **Error Handling**:
- ✅ DO: Provide clear error messages for common failures
- ✅ DO: Handle tagged system migration errors gracefully
- ✅ DO: Include suggestion for resolution when possible
- ✅ DO: Exit with appropriate codes for scripting
## MCP Tool Implementation
- **Direct Function Pattern**:
- ✅ DO: Create direct function wrappers in `mcp-server/src/core/direct-functions/`
- ✅ DO: Follow silent mode patterns to prevent console output interference
- ✅ DO: Use `findTasksJsonPath` for consistent path resolution
- ✅ DO: Ensure tagged system compatibility
```javascript
// ✅ DO: Implement MCP direct functions with tagged awareness
export async function newFeatureDirect(args, log, context = {}) {
try {
const tasksPath = findTasksJsonPath(args, log);
// Enable silent mode for clean MCP responses
enableSilentMode();
try {
const result = await newFeatureCore(
tasksPath,
{ param: args.param },
{
force: args.force,
targetTag: args.tag || 'master', // Support tag specification
mcpLog: log,
session: context.session,
outputFormat: 'json'
}
);
return {
success: true,
data: result,
fromCache: false
};
} finally {
disableSilentMode();
}
} catch (error) {
log.error(`Error in newFeatureDirect: ${error.message}`);
return {
success: false,
error: { code: 'FEATURE_ERROR', message: error.message },
fromCache: false
};
}
}
```
- **Tool Registration**:
- ✅ DO: Create tool definitions in `mcp-server/src/tools/`
- ✅ DO: Use Zod for parameter validation
- ✅ DO: Include optional tag parameter for multi-context support
- ✅ DO: Follow established naming conventions
```javascript
// ✅ DO: Register MCP tools with tagged system support
export function registerNewFeatureTool(server) {
server.addTool({
name: "new_feature",
description: "Description of the new feature with tagged task lists support",
inputSchema: z.object({
param: z.string().describe("Feature-specific parameter"),
tag: z.string().optional().describe("Target tag context (defaults to current tag)"),
force: z.boolean().optional().describe("Force operation without confirmation"),
projectRoot: z.string().optional().describe("Project root directory")
}),
execute: withNormalizedProjectRoot(async (args, { log, session }) => {
try {
const result = await newFeatureDirect(
{ ...args, projectRoot: args.projectRoot },
log,
{ session }
);
return handleApiResult(result, log);
} catch (error) {
return handleApiResult({
success: false,
error: { code: 'EXECUTION_ERROR', message: error.message }
}, log);
}
})
});
}
```
## Testing Strategy
- **Unit Tests**:
- ✅ DO: Test core logic independently with both data formats
- ✅ DO: Mock file system operations appropriately
- ✅ DO: Test tag resolution behavior
- ✅ DO: Verify migration compatibility
```javascript
// ✅ DO: Test new features with tagged system awareness
describe('newFeature', () => {
beforeEach(() => {
jest.clearAllMocks();
});
it('should work with legacy task format', async () => {
const legacyData = { tasks: [/* test data */] };
fs.readFileSync.mockReturnValue(JSON.stringify(legacyData));
const result = await newFeatureCore('/test/tasks.json', { param: 'test' });
expect(result).toBeDefined();
// Test legacy format handling
});
it('should work with tagged task format', async () => {
const taggedData = {
master: { tasks: [/* test data */] },
feature: { tasks: [/* test data */] }
};
fs.readFileSync.mockReturnValue(JSON.stringify(taggedData));
const result = await newFeatureCore('/test/tasks.json', { param: 'test' });
expect(result).toBeDefined();
// Test tagged format handling
});
it('should handle tag migration during feature usage', async () => {
const legacyData = { tasks: [/* test data */] };
fs.readFileSync.mockReturnValue(JSON.stringify(legacyData));
await newFeatureCore('/test/tasks.json', { param: 'test' });
// Verify migration occurred
expect(fs.writeFileSync).toHaveBeenCalledWith(
'/test/tasks.json',
expect.stringContaining('"master"')
);
});
});
```
- **Integration Tests**:
- ✅ DO: Test CLI and MCP interfaces with real task data
- ✅ DO: Verify end-to-end workflows across tag contexts
- ✅ DO: Test error scenarios and recovery
## Documentation Updates
- **Rule Updates**:
- ✅ DO: Update relevant `.cursor/rules/*.mdc` files
- ✅ DO: Include tagged system considerations in architecture docs
- ✅ DO: Add examples showing multi-context usage
- ✅ DO: Update workflow documentation as needed
- **User Documentation**:
- ✅ DO: Add feature documentation to `/docs` folder
- ✅ DO: Include tagged system usage examples
- ✅ DO: Update command reference documentation
- ✅ DO: Provide migration notes if relevant
## Migration Considerations
- **Silent Migration Support**:
- ✅ DO: Ensure new features trigger migration when needed
- ✅ DO: Handle migration errors gracefully in feature code
- ✅ DO: Test feature behavior with pre-migration projects
- ❌ DON'T: Assume projects are already migrated
- **Tag Context Handling**:
- ✅ DO: Default to current tag when not specified
- ✅ DO: Support explicit tag selection in advanced features
- ✅ DO: Validate tag existence before operations
- ✅ DO: Provide clear messaging about tag context
## Performance Considerations
- **Efficient Tag Operations**:
- ✅ DO: Minimize file I/O operations per feature execution
- ✅ DO: Cache tag resolution results when appropriate
- ✅ DO: Use streaming for large task datasets
- ❌ DON'T: Load all tags when only one is needed
- **Memory Management**:
- ✅ DO: Process large task lists efficiently
- ✅ DO: Clean up temporary data structures
- ✅ DO: Avoid keeping all tag data in memory simultaneously
## Deployment and Versioning
- **Changesets**:
- ✅ DO: Create appropriate changesets for new features
- ✅ DO: Use semantic versioning (minor for new features)
- ✅ DO: Include tagged system information in release notes
- ✅ DO: Document breaking changes if any
- **Feature Flags**:
- ✅ DO: Consider feature flags for experimental functionality
- ✅ DO: Ensure tagged system features work with flags
- ✅ DO: Provide clear documentation about flag usage
By following these guidelines, new features will integrate smoothly with the Task Master ecosystem while supporting the enhanced tagged task lists system for multi-context development workflows.

229
.cursor/rules/tags.mdc Normal file
View File

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

View File

@@ -11,6 +11,8 @@ This document provides a detailed reference for interacting with Taskmaster, cov
**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
@@ -24,6 +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.`
@@ -34,9 +37,11 @@ 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 scripts/example_prd.txt.
* **Important:** Once complete, you *MUST* parse a prd in order to generate tasks. There will be no tasks files until then. The next step after initializing should be to create a PRD using the example PRD in .taskmaster/templates/example_prd.txt.
* **Tagging:** Use the `--tag` option to parse the PRD into a specific, non-default tag context. If the tag doesn't exist, it will be created automatically. Example: `task-master parse-prd spec.txt --tag=new-feature`.
### 2. Parse PRD (`parse_prd`)
@@ -45,12 +50,12 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **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 'tasks/tasks.json'.` (CLI: `-o, --output <file>`)
* `output`: `Specify where Taskmaster should save the generated 'tasks.json' file. Defaults to '.taskmaster/tasks/tasks.json'.` (CLI: `-o, --output <file>`)
* `numTasks`: `Approximate number of top-level tasks Taskmaster should aim to generate from the document.` (CLI: `-n, --num-tasks <number>`)
* `force`: `Use this to allow Taskmaster to overwrite an existing 'tasks.json' without asking for confirmation.` (CLI: `-f, --force`)
* **Usage:** Useful for bootstrapping a project from an existing requirements document.
* **Notes:** Task Master will strictly adhere to any specific requirements mentioned in the PRD, 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 `scripts/example_prd.txt` as a template for creating the PRD based on their idea, for use with `parse-prd`.
* **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`.
---
@@ -74,13 +79,14 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* `--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 `.taskmasterconfig` 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.
* **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 .taskmasterconfig 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.
* **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.
---
@@ -92,8 +98,9 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **CLI Command:** `task-master list [options]`
* **Description:** `List your Taskmaster tasks, optionally filtering by status and showing subtasks.`
* **Key Parameters/Options:**
* `status`: `Show only Taskmaster tasks matching this status, e.g., 'pending' or 'done'.` (CLI: `-s, --status <status>`)
* `status`: `Show only Taskmaster tasks matching this status (or multiple statuses, comma-separated), e.g., 'pending' or 'done,in-progress'.` (CLI: `-s, --status <status>`)
* `withSubtasks`: `Include subtasks indented under their parent tasks in the list.` (CLI: `--with-subtasks`)
* `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.
@@ -104,17 +111,20 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **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 a specific Taskmaster task or subtask by its ID.`
* **Description:** `Display detailed information for one or more specific Taskmaster tasks or subtasks by ID.`
* **Key Parameters/Options:**
* `id`: `Required. The ID of the Taskmaster task, e.g., '15', or subtask, e.g., '15.2', you want to view.` (CLI: `[id]` positional or `-i, --id <id>`)
* `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, implementation notes, and test strategy for a specific task before starting work.
* **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.
---
@@ -130,6 +140,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* `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.
@@ -148,6 +159,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* `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.
@@ -160,6 +172,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* `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.
@@ -168,13 +181,15 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **MCP Tool:** `update_task`
* **CLI Command:** `task-master update-task [options]`
* **Description:** `Modify a specific Taskmaster task or subtask by its ID, incorporating new information or changes.`
* **Description:** `Modify a specific Taskmaster task by ID, incorporating new information or changes. By default, this replaces the existing task details.`
* **Key Parameters/Options:**
* `id`: `Required. The specific ID of the Taskmaster task, e.g., '15', or subtask, e.g., '15.2', you want to update.` (CLI: `-i, --id <id>`)
* `id`: `Required. The specific ID of the Taskmaster task, e.g., '15', you want to update.` (CLI: `-i, --id <id>`)
* `prompt`: `Required. Explain the specific changes or provide the new information Taskmaster should incorporate into this task.` (CLI: `-p, --prompt <text>`)
* `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 or feedback. Example CLI: `task-master update-task --id='15' --prompt='Clarification: Use PostgreSQL instead of MySQL.\nUpdate schema details...'`
* **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`)
@@ -183,11 +198,12 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **CLI Command:** `task-master update-subtask [options]`
* **Description:** `Append timestamped notes or details to a specific Taskmaster subtask without overwriting existing content. Intended for iterative implementation logging.`
* **Key Parameters/Options:**
* `id`: `Required. The specific ID of the Taskmaster subtask, e.g., '15.2', you want to add information to.` (CLI: `-i, --id <id>`)
* `prompt`: `Required. Provide the information or notes Taskmaster should append to the subtask's details. Ensure this adds *new* information not already present.` (CLI: `-p, --prompt <text>`)
* `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:** Add implementation notes, code snippets, or clarifications to a subtask during development. Before calling, review the subtask's current details to append only fresh insights, helping to build a detailed log of the implementation journey and avoid redundancy. Example CLI: `task-master update-subtask --id='15.2' --prompt='Discovered that the API requires header X.\nImplementation needs adjustment...'`
* **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`)
@@ -198,6 +214,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **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.
@@ -209,6 +226,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **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.
@@ -228,6 +246,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* `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.
@@ -242,6 +261,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* `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.
@@ -254,6 +274,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **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.
@@ -266,14 +287,41 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* `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
### 17. Add Dependency (`add_dependency`)
### 18. Add Dependency (`add_dependency`)
* **MCP Tool:** `add_dependency`
* **CLI Command:** `task-master add-dependency [options]`
@@ -281,10 +329,11 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **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.
### 18. Remove Dependency (`remove_dependency`)
### 19. Remove Dependency (`remove_dependency`)
* **MCP Tool:** `remove_dependency`
* **CLI Command:** `task-master remove-dependency [options]`
@@ -292,24 +341,27 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **Key Parameters/Options:**
* `id`: `Required. The ID of the Taskmaster task you want to remove a prerequisite from.` (CLI: `-i, --id <id>`)
* `dependsOn`: `Required. The ID of the Taskmaster task that should no longer be a prerequisite.` (CLI: `-d, --depends-on <id>`)
* `tag`: `Specify which tag context to operate on. Defaults to the current active tag.` (CLI: `--tag <name>`)
* `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
* **Usage:** Update task relationships when the order of execution changes.
### 19. Validate Dependencies (`validate_dependencies`)
### 20. Validate Dependencies (`validate_dependencies`)
* **MCP Tool:** `validate_dependencies`
* **CLI Command:** `task-master validate-dependencies [options]`
* **Description:** `Check your Taskmaster tasks for dependency issues (like circular references or links to non-existent tasks) without making changes.`
* **Key Parameters/Options:**
* `tag`: `Specify which tag context to validate. Defaults to the current active tag.` (CLI: `--tag <name>`)
* `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
* **Usage:** Audit the integrity of your task dependencies.
### 20. Fix Dependencies (`fix_dependencies`)
### 21. Fix Dependencies (`fix_dependencies`)
* **MCP Tool:** `fix_dependencies`
* **CLI Command:** `task-master fix-dependencies [options]`
* **Description:** `Automatically fix dependency issues (like circular references or links to non-existent tasks) in your Taskmaster tasks.`
* **Key Parameters/Options:**
* `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.
@@ -317,47 +369,172 @@ This document provides a detailed reference for interacting with Taskmaster, cov
## Analysis & Reporting
### 21. Analyze Project Complexity (`analyze_project_complexity`)
### 22. Analyze Project Complexity (`analyze_project_complexity`)
* **MCP Tool:** `analyze_project_complexity`
* **CLI Command:** `task-master analyze-complexity [options]`
* **Description:** `Have Taskmaster analyze your tasks to determine their complexity and suggest which ones need to be broken down further.`
* **Key Parameters/Options:**
* `output`: `Where to save the complexity analysis report (default: 'scripts/task-complexity-report.json').` (CLI: `-o, --output <file>`)
* `output`: `Where to save the complexity analysis report. Default is '.taskmaster/reports/task-complexity-report.json' (or '..._tagname.json' if a tag is used).` (CLI: `-o, --output <file>`)
* `threshold`: `The minimum complexity score (1-10) that should trigger a recommendation to expand a task.` (CLI: `-t, --threshold <number>`)
* `research`: `Enable research role for more accurate complexity analysis. Requires appropriate API key.` (CLI: `-r, --research`)
* `tag`: `Specify which tag context to analyze. Defaults to the current active tag.` (CLI: `--tag <name>`)
* `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
* **Usage:** Used before breaking down tasks to identify which ones need the most attention.
* **Important:** This MCP tool makes AI calls and can take up to a minute to complete. Please inform users to hang tight while the operation is in progress.
### 22. View Complexity Report (`complexity_report`)
### 23. View Complexity Report (`complexity_report`)
* **MCP Tool:** `complexity_report`
* **CLI Command:** `task-master complexity-report [options]`
* **Description:** `Display the task complexity analysis report in a readable format.`
* **Key Parameters/Options:**
* `file`: `Path to the complexity report (default: 'scripts/task-complexity-report.json').` (CLI: `-f, --file <file>`)
* `tag`: `Specify which tag context to show the report for. Defaults to the current active tag.` (CLI: `--tag <name>`)
* `file`: `Path to the complexity report (default: '.taskmaster/reports/task-complexity-report.json').` (CLI: `-f, --file <file>`)
* **Usage:** Review and understand the complexity analysis results after running analyze-complexity.
---
## File Management
### 23. Generate Task Files (`generate`)
### 24. Generate Task Files (`generate`)
* **MCP Tool:** `generate`
* **CLI Command:** `task-master generate [options]`
* **Description:** `Create or update individual Markdown files for each task based on your tasks.json.`
* **Key Parameters/Options:**
* `output`: `The directory where Taskmaster should save the task files (default: in a 'tasks' directory).` (CLI: `-o, --output <directory>`)
* `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.
* **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 **`.taskmasterconfig`** file (in project root) for configuration (models, parameters, logging level, etc.), managed via `task-master models --setup`.
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:
@@ -370,12 +547,12 @@ Environment variables are used **only** for sensitive API keys related to AI pro
* `AZURE_OPENAI_API_KEY` (Requires `AZURE_OPENAI_ENDPOINT` too)
* `OPENROUTER_API_KEY`
* `XAI_API_KEY`
* `OLLANA_API_KEY` (Requires `OLLAMA_BASE_URL` too)
* **Endpoints (Optional/Provider Specific inside .taskmasterconfig):**
* `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 `.taskmasterconfig` via `task-master models` command or `models` MCP tool.
**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.
---

View File

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

228
.cursor/rules/telemetry.mdc Normal file
View File

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

View File

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

View File

@@ -1,6 +1,6 @@
---
description: Guidelines for implementing utility functions
globs: scripts/modules/utils.js, mcp-server/src/**/*
description:
globs:
alwaysApply: false
---
# Utility Function Guidelines
@@ -46,7 +46,7 @@ alwaysApply: false
- **Location**:
- **Core CLI Utilities**: Place utilities used primarily by the core `task-master` CLI logic and command modules (`scripts/modules/*`) into [`scripts/modules/utils.js`](mdc:scripts/modules/utils.js).
- **MCP Server Utilities**: Place utilities specifically designed to support the MCP server implementation into the appropriate subdirectories within `mcp-server/src/`.
- Path/Core Logic Helpers: [`mcp-server/src/core/utils/`](mdc:mcp-server/src/core/utils/) (e.g., `path-utils.js`).
- Path/Core Logic Helpers: [`mcp-server/src/core/utils/`](mdc:mcp-server/src/core/utils) (e.g., `path-utils.js`).
- Tool Execution/Response Helpers: [`mcp-server/src/tools/utils.js`](mdc:mcp-server/src/tools/utils.js).
## Documentation Standards
@@ -110,7 +110,7 @@ Taskmaster configuration (excluding API keys) is primarily managed through the `
- ✅ DO: Use appropriate icons for different log levels
- ✅ DO: Respect the configured log level
- ❌ DON'T: Add direct console.log calls outside the logging utility
- **Note on Passed Loggers**: When a logger object (like the FastMCP `log` object) is passed *as a parameter* (e.g., as `mcpLog`) into core Task Master functions, the receiving function often expects specific methods (`.info`, `.warn`, `.error`, etc.) to be directly callable on that object (e.g., `mcpLog[level](...)`). If the passed logger doesn't have this exact structure, a wrapper object may be needed. See the **Handling Logging Context (`mcpLog`)** section in [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc) for the standard pattern used in direct functions.
- **Note on Passed Loggers**: When a logger object (like the FastMCP `log` object) is passed *as a parameter* (e.g., as `mcpLog`) into core Task Master functions, the receiving function often expects specific methods (`.info`, `.warn`, `.error`, etc.) to be directly callable on that object (e.g., `mcpLog[level](mdc:...)`). If the passed logger doesn't have this exact structure, a wrapper object may be needed. See the **Handling Logging Context (`mcpLog`)** section in [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc) for the standard pattern used in direct functions.
- **Logger Wrapper Pattern**:
- ✅ DO: Use the logger wrapper pattern when passing loggers to prevent `mcpLog[level] is not a function` errors:
@@ -548,4 +548,628 @@ export {
};
```
Refer to [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc) and [`architecture.mdc`](mdc:.cursor/rules/architecture.mdc) for more context on MCP server architecture and integration.
## Context Gathering Utilities
### **ContextGatherer** (`scripts/modules/utils/contextGatherer.js`)
- **Multi-Source Context Extraction**:
- ✅ DO: Use for AI-powered commands that need project context
- ✅ DO: Support tasks, files, custom text, and project tree context
- ✅ DO: Implement detailed token counting with `gpt-tokens` library
- ✅ DO: Provide multiple output formats (research, chat, system-prompt)
```javascript
// ✅ DO: Use ContextGatherer for consistent context extraction
import { ContextGatherer } from '../utils/contextGatherer.js';
const gatherer = new ContextGatherer(projectRoot, tasksPath);
const result = await gatherer.gather({
tasks: ['15', '16.2'],
files: ['src/api.js'],
customContext: 'Additional context',
includeProjectTree: true,
format: 'research',
includeTokenCounts: true
});
```
### **FuzzyTaskSearch** (`scripts/modules/utils/fuzzyTaskSearch.js`)
- **Intelligent Task Discovery**:
- ✅ DO: Use for automatic task relevance detection
- ✅ DO: Configure search parameters based on use case context
- ✅ DO: Implement purpose-based categorization for better matching
- ✅ DO: Sort results by relevance score and task ID
```javascript
// ✅ DO: Use FuzzyTaskSearch for intelligent task discovery
import { FuzzyTaskSearch } from '../utils/fuzzyTaskSearch.js';
const fuzzySearch = new FuzzyTaskSearch(tasksData.tasks, 'research');
const searchResults = fuzzySearch.findRelevantTasks(query, {
maxResults: 8,
includeRecent: true,
includeCategoryMatches: true
});
const taskIds = fuzzySearch.getTaskIds(searchResults);
```
- **Integration Guidelines**:
- ✅ DO: Use fuzzy search to supplement user-provided task IDs
- ✅ DO: Display discovered task IDs to users for transparency
- ✅ DO: Sort discovered task IDs numerically for better readability
- ❌ DON'T: Replace explicit user task selections with fuzzy results
Refer to [`context_gathering.mdc`](mdc:.cursor/rules/context_gathering.mdc) for detailed implementation patterns, [`mcp.mdc`](mdc:.cursor/rules/mcp.mdc) and [`architecture.mdc`](mdc:.cursor/rules/architecture.mdc) for more context on MCP server architecture and integration.
## File System Operations
- **JSON File Handling**:
- ✅ DO: Use `readJSON` and `writeJSON` for all JSON operations
- ✅ DO: Include error handling for file operations
- ✅ DO: Validate JSON structure after reading
- ❌ DON'T: Use raw `fs.readFileSync` or `fs.writeFileSync` for JSON
```javascript
// ✅ DO: Use utility functions with error handling
function readJSON(filepath) {
try {
if (!fs.existsSync(filepath)) {
return null; // or appropriate default
}
let data = JSON.parse(fs.readFileSync(filepath, 'utf8'));
// Silent migration for tasks.json files: Transform old format to tagged format
const isTasksFile = filepath.includes('tasks.json') || path.basename(filepath) === 'tasks.json';
if (data && data.tasks && Array.isArray(data.tasks) && !data.master && isTasksFile) {
// Migrate from old format { "tasks": [...] } to new format { "master": { "tasks": [...] } }
const migratedData = {
master: {
tasks: data.tasks
}
};
writeJSON(filepath, migratedData);
// Set global flag for CLI notice and perform complete migration
global.taskMasterMigrationOccurred = true;
performCompleteTagMigration(filepath);
data = migratedData;
}
return data;
} catch (error) {
log('error', `Failed to read JSON from ${filepath}: ${error.message}`);
return null;
}
}
function writeJSON(filepath, data) {
try {
const dirPath = path.dirname(filepath);
if (!fs.existsSync(dirPath)) {
fs.mkdirSync(dirPath, { recursive: true });
}
fs.writeFileSync(filepath, JSON.stringify(data, null, 2));
} catch (error) {
log('error', `Failed to write JSON to ${filepath}: ${error.message}`);
throw error;
}
}
```
- **Path Resolution**:
- ✅ DO: Use `path.join()` for cross-platform path construction
- ✅ DO: Use `path.resolve()` for absolute paths
- ✅ DO: Validate paths before file operations
```javascript
// ✅ DO: Handle paths correctly
function findProjectRoot(startPath = process.cwd()) {
let currentPath = path.resolve(startPath);
const rootPath = path.parse(currentPath).root;
while (currentPath !== rootPath) {
const taskMasterPath = path.join(currentPath, '.taskmaster');
if (fs.existsSync(taskMasterPath)) {
return currentPath;
}
currentPath = path.dirname(currentPath);
}
return null; // Not found
}
```
## Tagged Task Lists System Utilities
- **Tag Resolution Functions**:
- ✅ DO: Use tag resolution layer for all task data access
- ✅ DO: Provide backward compatibility with legacy format
- ✅ DO: Default to "master" tag when no tag is specified
```javascript
// ✅ DO: Implement tag resolution functions
function getTasksForTag(data, tagName = 'master') {
if (!data) {
return [];
}
// Handle legacy format - direct tasks array
if (data.tasks && Array.isArray(data.tasks)) {
return data.tasks;
}
// Handle tagged format - tasks under specific tag
if (data[tagName] && data[tagName].tasks && Array.isArray(data[tagName].tasks)) {
return data[tagName].tasks;
}
return [];
}
function setTasksForTag(data, tagName = 'master', tasks) {
// Ensure data object exists
if (!data) {
data = {};
}
// Create tag structure if it doesn't exist
if (!data[tagName]) {
data[tagName] = {};
}
// Set tasks for the tag
data[tagName].tasks = tasks;
return data;
}
function getCurrentTag() {
// Get current tag from state.json or default to 'master'
try {
const projectRoot = findProjectRoot();
if (!projectRoot) return 'master';
const statePath = path.join(projectRoot, '.taskmaster', 'state.json');
if (fs.existsSync(statePath)) {
const state = readJSON(statePath);
return state.currentTag || 'master';
}
} catch (error) {
log('debug', `Error reading current tag: ${error.message}`);
}
return 'master';
}
```
- **Migration Functions**:
- ✅ DO: Implement complete migration for all related files
- ✅ DO: Handle configuration and state file creation
- ✅ DO: Provide migration status tracking
```javascript
// ✅ DO: Implement complete migration system
function performCompleteTagMigration(tasksJsonPath) {
try {
// Derive project root from tasks.json path
const projectRoot = findProjectRoot(path.dirname(tasksJsonPath)) || path.dirname(tasksJsonPath);
// 1. Migrate config.json - add defaultTag and tags section
const configPath = path.join(projectRoot, '.taskmaster', 'config.json');
if (fs.existsSync(configPath)) {
migrateConfigJson(configPath);
}
// 2. Create state.json if it doesn't exist
const statePath = path.join(projectRoot, '.taskmaster', 'state.json');
if (!fs.existsSync(statePath)) {
createStateJson(statePath);
}
if (getDebugFlag()) {
log('debug', 'Completed tagged task lists migration for project');
}
} catch (error) {
if (getDebugFlag()) {
log('warn', `Error during complete tag migration: ${error.message}`);
}
}
}
function migrateConfigJson(configPath) {
try {
const config = readJSON(configPath);
if (!config) return;
let modified = false;
// Add global.defaultTag if missing
if (!config.global) {
config.global = {};
}
if (!config.global.defaultTag) {
config.global.defaultTag = 'master';
modified = true;
}
// Add tags section if missing
if (!config.tags) {
config.tags = {
// Git integration settings removed - now manual only
};
modified = true;
}
if (modified) {
writeJSON(configPath, config);
if (getDebugFlag()) {
log('debug', 'Updated config.json with tagged task system settings');
}
}
} catch (error) {
if (getDebugFlag()) {
log('warn', `Error migrating config.json: ${error.message}`);
}
}
}
function createStateJson(statePath) {
try {
const initialState = {
currentTag: 'master',
lastSwitched: new Date().toISOString(),
migrationNoticeShown: false
};
writeJSON(statePath, initialState);
if (getDebugFlag()) {
log('debug', 'Created initial state.json for tagged task system');
}
} catch (error) {
if (getDebugFlag()) {
log('warn', `Error creating state.json: ${error.message}`);
}
}
}
function markMigrationForNotice() {
try {
const projectRoot = findProjectRoot();
if (!projectRoot) return;
const statePath = path.join(projectRoot, '.taskmaster', 'state.json');
const state = readJSON(statePath) || {};
state.migrationNoticeShown = false; // Reset to show notice
writeJSON(statePath, state);
} catch (error) {
if (getDebugFlag()) {
log('warn', `Error marking migration for notice: ${error.message}`);
}
}
}
```
## Logging Functions
- **Consistent Logging**:
- ✅ DO: Use the central `log` function for all output
- ✅ DO: Use appropriate log levels (info, warn, error, debug)
- ✅ DO: Support silent mode for programmatic usage
```javascript
// ✅ DO: Implement consistent logging with silent mode
let silentMode = false;
function log(level, ...messages) {
if (silentMode && level !== 'error') {
return; // Suppress non-error logs in silent mode
}
const timestamp = new Date().toISOString();
const formattedMessage = messages.join(' ');
switch (level) {
case 'error':
console.error(`[ERROR] ${formattedMessage}`);
break;
case 'warn':
console.warn(`[WARN] ${formattedMessage}`);
break;
case 'info':
console.log(`[INFO] ${formattedMessage}`);
break;
case 'debug':
if (getDebugFlag()) {
console.log(`[DEBUG] ${formattedMessage}`);
}
break;
default:
console.log(formattedMessage);
}
}
function enableSilentMode() {
silentMode = true;
}
function disableSilentMode() {
silentMode = false;
}
function isSilentMode() {
return silentMode;
}
```
## Task Utilities
- **Task Finding and Manipulation**:
- ✅ DO: Use tagged task system aware functions
- ✅ DO: Handle both task and subtask operations
- ✅ DO: Validate task IDs before operations
```javascript
// ✅ DO: Implement tag-aware task utilities
function findTaskById(tasks, taskId) {
if (!Array.isArray(tasks)) {
return null;
}
return tasks.find(task => task.id === taskId) || null;
}
function findSubtaskById(tasks, parentId, subtaskId) {
const parentTask = findTaskById(tasks, parentId);
if (!parentTask || !parentTask.subtasks) {
return null;
}
return parentTask.subtasks.find(subtask => subtask.id === subtaskId) || null;
}
function getNextTaskId(tasks) {
if (!Array.isArray(tasks) || tasks.length === 0) {
return 1;
}
const maxId = Math.max(...tasks.map(task => task.id));
return maxId + 1;
}
function getNextSubtaskId(parentTask) {
if (!parentTask.subtasks || parentTask.subtasks.length === 0) {
return 1;
}
const maxId = Math.max(...parentTask.subtasks.map(subtask => subtask.id));
return maxId + 1;
}
```
## String Utilities
- **Text Processing**:
- ✅ DO: Handle text truncation appropriately
- ✅ DO: Provide consistent formatting functions
- ✅ DO: Support different output formats
```javascript
// ✅ DO: Implement useful string utilities
function truncate(str, maxLength = 50) {
if (!str || typeof str !== 'string') {
return '';
}
if (str.length <= maxLength) {
return str;
}
return str.substring(0, maxLength - 3) + '...';
}
function formatDuration(ms) {
const seconds = Math.floor(ms / 1000);
const minutes = Math.floor(seconds / 60);
const hours = Math.floor(minutes / 60);
if (hours > 0) {
return `${hours}h ${minutes % 60}m ${seconds % 60}s`;
} else if (minutes > 0) {
return `${minutes}m ${seconds % 60}s`;
} else {
return `${seconds}s`;
}
}
function capitalizeFirst(str) {
if (!str || typeof str !== 'string') {
return '';
}
return str.charAt(0).toUpperCase() + str.slice(1).toLowerCase();
}
```
## Dependency Management Utilities
- **Dependency Analysis**:
- ✅ DO: Detect circular dependencies
- ✅ DO: Validate dependency references
- ✅ DO: Support cross-tag dependency checking (future enhancement)
```javascript
// ✅ DO: Implement dependency utilities
function findCycles(tasks) {
const cycles = [];
const visited = new Set();
const recStack = new Set();
function dfs(taskId, path = []) {
if (recStack.has(taskId)) {
// Found a cycle
const cycleStart = path.indexOf(taskId);
const cycle = path.slice(cycleStart).concat([taskId]);
cycles.push(cycle);
return;
}
if (visited.has(taskId)) {
return;
}
visited.add(taskId);
recStack.add(taskId);
const task = findTaskById(tasks, taskId);
if (task && task.dependencies) {
task.dependencies.forEach(depId => {
dfs(depId, path.concat([taskId]));
});
}
recStack.delete(taskId);
}
tasks.forEach(task => {
if (!visited.has(task.id)) {
dfs(task.id);
}
});
return cycles;
}
function validateDependencies(tasks) {
const validationErrors = [];
const taskIds = new Set(tasks.map(task => task.id));
tasks.forEach(task => {
if (task.dependencies) {
task.dependencies.forEach(depId => {
if (!taskIds.has(depId)) {
validationErrors.push({
taskId: task.id,
invalidDependency: depId,
message: `Task ${task.id} depends on non-existent task ${depId}`
});
}
});
}
});
return validationErrors;
}
```
## Environment and Configuration Utilities
- **Environment Variable Resolution**:
- ✅ DO: Support both `.env` files and MCP session environment
- ✅ DO: Provide fallbacks for missing values
- ✅ DO: Handle API key resolution correctly
```javascript
// ✅ DO: Implement flexible environment resolution
function resolveEnvVariable(key, sessionEnv = null) {
// First check session environment (for MCP)
if (sessionEnv && sessionEnv[key]) {
return sessionEnv[key];
}
// Then check process environment
if (process.env[key]) {
return process.env[key];
}
// Finally try .env file if in project root
try {
const projectRoot = findProjectRoot();
if (projectRoot) {
const envPath = path.join(projectRoot, '.env');
if (fs.existsSync(envPath)) {
const envContent = fs.readFileSync(envPath, 'utf8');
const lines = envContent.split('\n');
for (const line of lines) {
const [envKey, envValue] = line.split('=');
if (envKey && envKey.trim() === key) {
return envValue ? envValue.trim().replace(/^["']|["']$/g, '') : undefined;
}
}
}
}
} catch (error) {
log('debug', `Error reading .env file: ${error.message}`);
}
return undefined;
}
function getDebugFlag() {
const debugFlag = resolveEnvVariable('TASKMASTER_DEBUG') ||
resolveEnvVariable('DEBUG') ||
'false';
return debugFlag.toLowerCase() === 'true';
}
```
## Export Pattern
- **Module Exports**:
- ✅ DO: Export all utility functions explicitly
- ✅ DO: Group related functions logically
- ✅ DO: Include new tagged system utilities
```javascript
// ✅ DO: Export utilities in logical groups
module.exports = {
// File system utilities
readJSON,
writeJSON,
findProjectRoot,
// Tagged task system utilities
getTasksForTag,
setTasksForTag,
getCurrentTag,
performCompleteTagMigration,
migrateConfigJson,
createStateJson,
markMigrationForNotice,
// Logging utilities
log,
enableSilentMode,
disableSilentMode,
isSilentMode,
// Task utilities
findTaskById,
findSubtaskById,
getNextTaskId,
getNextSubtaskId,
// String utilities
truncate,
formatDuration,
capitalizeFirst,
// Dependency utilities
findCycles,
validateDependencies,
// Environment utilities
resolveEnvVariable,
getDebugFlag,
// Legacy utilities (maintained for compatibility)
aggregateTelemetry
};
```
Refer to [`utils.js`](mdc:scripts/modules/utils.js) for implementation examples and [`architecture.mdc`](mdc:.cursor/rules/architecture.mdc) for integration patterns.

View File

@@ -7,3 +7,9 @@ MISTRAL_API_KEY=YOUR_MISTRAL_KEY_HERE
OPENROUTER_API_KEY=YOUR_OPENROUTER_KEY_HERE
XAI_API_KEY=YOUR_XAI_KEY_HERE
AZURE_OPENAI_API_KEY=YOUR_AZURE_KEY_HERE
# Google Vertex AI Configuration
VERTEX_PROJECT_ID=your-gcp-project-id
VERTEX_LOCATION=us-central1
# Optional: Path to service account credentials JSON file (alternative to API key)
GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account-credentials.json

62
.github/workflows/pre-release.yml vendored Normal file
View File

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

View File

@@ -33,6 +33,9 @@ jobs:
run: npm ci
timeout-minutes: 2
- name: Exit pre-release mode (safety check)
run: npx changeset pre exit || true
- name: Create Release Pull Request or Publish to npm
uses: changesets/action@v1
with:

40
.github/workflows/update-models-md.yml vendored Normal file
View File

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

29
.gitignore vendored
View File

@@ -19,13 +19,26 @@ npm-debug.log*
yarn-debug.log*
yarn-error.log*
lerna-debug.log*
tests/e2e/_runs/
tests/e2e/log/
# Coverage directory used by tools like istanbul
coverage
coverage/
*.lcov
# Jest cache
.jest/
# Test temporary files and directories
tests/temp/
tests/e2e/_runs/
tests/e2e/log/
tests/**/*.log
tests/**/coverage/
# Test database files (if any)
tests/**/*.db
tests/**/*.sqlite
tests/**/*.sqlite3
# Optional npm cache directory
.npm
@@ -64,3 +77,13 @@ dev-debug.log
# NPMRC
.npmrc
# Added by Task Master AI
# Editor directories and files
.idea
.vscode
*.suo
*.ntvs*
*.njsproj
*.sln
*.sw?

1
.nvmrc Normal file
View File

@@ -0,0 +1 @@
22

View File

@@ -1,7 +0,0 @@
# Ignore artifacts:
build
coverage
.changeset
tasks
package-lock.json
tests/fixture/*.json

View File

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

34
.taskmaster/config.json Normal file
View File

@@ -0,0 +1,34 @@
{
"models": {
"main": {
"provider": "vertex",
"modelId": "gemini-1.5-pro-002",
"maxTokens": 50000,
"temperature": 0.2
},
"research": {
"provider": "perplexity",
"modelId": "sonar",
"maxTokens": 8700,
"temperature": 0.1
},
"fallback": {
"provider": "anthropic",
"modelId": "claude-3-7-sonnet-20250219",
"maxTokens": 128000,
"temperature": 0.2
}
},
"global": {
"logLevel": "info",
"debug": false,
"defaultSubtasks": 5,
"defaultPriority": "medium",
"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

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

View File

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

View File

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

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

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

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

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

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

9
.taskmaster/state.json Normal file
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{
"currentTag": "master",
"lastSwitched": "2025-06-14T20:37:15.456Z",
"branchTagMapping": {
"v017-adds": "v017-adds",
"next": "next"
},
"migrationNoticeShown": true
}

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

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{
"models": {
"main": {
"provider": "anthropic",
"modelId": "claude-3-7-sonnet-20250219",
"maxTokens": 100000,
"temperature": 0.2
},
"research": {
"provider": "perplexity",
"modelId": "sonar-pro",
"maxTokens": 8700,
"temperature": 0.1
},
"fallback": {
"provider": "anthropic",
"modelId": "claude-3-7-sonnet-20250219",
"maxTokens": 120000,
"temperature": 0.2
}
},
"global": {
"logLevel": "info",
"debug": false,
"defaultSubtasks": 5,
"defaultPriority": "medium",
"projectName": "Taskmaster",
"ollamaBaseUrl": "http://localhost:11434/api",
"azureOpenaiBaseUrl": "https://your-endpoint.openai.azure.com/"
}
}

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

209
README.md
View File

@@ -2,64 +2,181 @@
[![CI](https://github.com/eyaltoledano/claude-task-master/actions/workflows/ci.yml/badge.svg)](https://github.com/eyaltoledano/claude-task-master/actions/workflows/ci.yml) [![npm version](https://badge.fury.io/js/task-master-ai.svg)](https://badge.fury.io/js/task-master-ai) [![Discord](https://dcbadge.limes.pink/api/server/https://discord.gg/taskmasterai?style=flat)](https://discord.gg/taskmasterai) [![License: MIT with Commons Clause](https://img.shields.io/badge/license-MIT%20with%20Commons%20Clause-blue.svg)](LICENSE)
### By [@eyaltoledano](https://x.com/eyaltoledano) & [@RalphEcom](https://x.com/RalphEcom)
[![NPM Downloads](https://img.shields.io/npm/d18m/task-master-ai?style=flat)](https://www.npmjs.com/package/task-master-ai) [![NPM Downloads](https://img.shields.io/npm/dm/task-master-ai?style=flat)](https://www.npmjs.com/package/task-master-ai) [![NPM Downloads](https://img.shields.io/npm/dw/task-master-ai?style=flat)](https://www.npmjs.com/package/task-master-ai)
[![Twitter Follow](https://img.shields.io/twitter/follow/eyaltoledano?style=flat)](https://x.com/eyaltoledano)
[![Twitter Follow](https://img.shields.io/twitter/follow/RalphEcom?style=flat)](https://x.com/RalphEcom)
## By [@eyaltoledano](https://x.com/eyaltoledano), [@RalphEcom](https://x.com/RalphEcom) & [@jasonzhou1993](https://x.com/jasonzhou1993)
[![Twitter Follow](https://img.shields.io/twitter/follow/eyaltoledano)](https://x.com/eyaltoledano)
[![Twitter Follow](https://img.shields.io/twitter/follow/RalphEcom)](https://x.com/RalphEcom)
[![Twitter Follow](https://img.shields.io/twitter/follow/jasonzhou1993)](https://x.com/jasonzhou1993)
A task management system for AI-driven development with Claude, designed to work seamlessly with Cursor AI.
## Documentation
For more detailed information, check out the documentation in the `docs` directory:
- [Configuration Guide](docs/configuration.md) - Set up environment variables and customize Task Master
- [Tutorial](docs/tutorial.md) - Step-by-step guide to getting started with Task Master
- [Command Reference](docs/command-reference.md) - Complete list of all available commands
- [Task Structure](docs/task-structure.md) - Understanding the task format and features
- [Example Interactions](docs/examples.md) - Common Cursor AI interaction examples
- [Migration Guide](docs/migration-guide.md) - Guide to migrating to the new project structure
#### Quick Install for Cursor 1.0+ (One-Click)
📋 Click the copy button (top-right of code block) then paste into your browser:
```text
cursor://anysphere.cursor-deeplink/mcp/install?name=taskmaster-ai&config=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
```
> **Note:** After clicking the link, you'll still need to add your API keys to the configuration. The link installs the MCP server with placeholder keys that you'll need to replace with your actual API keys.
## Requirements
Taskmaster utilizes AI across several commands, and those require a separate API key. You can use a variety of models from different AI providers provided you add your API keys. For example, if you want to use Claude 3.7, you'll need an Anthropic API key.
You can define 3 types of models to be used: the main model, the research model, and the fallback model (in case either the main or research fail). Whatever model you use, its provider API key must be present in either mcp.json or .env.
At least one (1) of the following is required:
- Anthropic API key (Claude API)
- OpenAI SDK (for Perplexity API integration, optional)
- OpenAI API key
- Google Gemini API key
- Perplexity API key (for research model)
- xAI API Key (for research or main model)
- OpenRouter API Key (for research or main model)
- 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 (unless using Claude Code). Adding all API keys enables you to seamlessly switch between model providers at will.
## Quick Start
### Option 1 | MCP (Recommended):
### Option 1: MCP (Recommended)
MCP (Model Control Protocol) provides the easiest way to get started with Task Master directly in your editor.
MCP (Model Control Protocol) lets you run Task Master directly from your editor.
1. **Add the MCP config to your editor** (Cursor recommended, but it works with other text editors):
#### 1. Add your MCP config at the following path depending on your editor
| Editor | Scope | Linux/macOS Path | Windows Path | Key |
| ------------ | ------- | ------------------------------------- | ------------------------------------------------- | ------------ |
| **Cursor** | Global | `~/.cursor/mcp.json` | `%USERPROFILE%\.cursor\mcp.json` | `mcpServers` |
| | Project | `<project_folder>/.cursor/mcp.json` | `<project_folder>\.cursor\mcp.json` | `mcpServers` |
| **Windsurf** | Global | `~/.codeium/windsurf/mcp_config.json` | `%USERPROFILE%\.codeium\windsurf\mcp_config.json` | `mcpServers` |
| **VS Code** | Project | `<project_folder>/.vscode/mcp.json` | `<project_folder>\.vscode\mcp.json` | `servers` |
##### Manual Configuration
###### Cursor & Windsurf (`mcpServers`)
```json
{
"mcpServers": {
"taskmaster-ai": {
"command": "npx",
"args": ["-y", "--package=task-master-ai", "task-master-ai"],
"env": {
"ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
"PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
"OPENAI_API_KEY": "YOUR_OPENAI_KEY_HERE",
"GOOGLE_API_KEY": "YOUR_GOOGLE_KEY_HERE",
"MISTRAL_API_KEY": "YOUR_MISTRAL_KEY_HERE",
"OPENROUTER_API_KEY": "YOUR_OPENROUTER_KEY_HERE",
"XAI_API_KEY": "YOUR_XAI_KEY_HERE",
"AZURE_OPENAI_API_KEY": "YOUR_AZURE_KEY_HERE"
}
}
}
"mcpServers": {
"taskmaster-ai": {
"command": "npx",
"args": ["-y", "--package=task-master-ai", "task-master-ai"],
"env": {
"ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
"PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
"OPENAI_API_KEY": "YOUR_OPENAI_KEY_HERE",
"GOOGLE_API_KEY": "YOUR_GOOGLE_KEY_HERE",
"MISTRAL_API_KEY": "YOUR_MISTRAL_KEY_HERE",
"OPENROUTER_API_KEY": "YOUR_OPENROUTER_KEY_HERE",
"XAI_API_KEY": "YOUR_XAI_KEY_HERE",
"AZURE_OPENAI_API_KEY": "YOUR_AZURE_KEY_HERE",
"OLLAMA_API_KEY": "YOUR_OLLAMA_API_KEY_HERE"
}
}
}
}
```
2. **Enable the MCP** in your editor
> 🔑 Replace `YOUR_…_KEY_HERE` with your real API keys. You can remove keys you don't use.
3. **Prompt the AI** to initialize Task Master:
> **Note**: If you see `0 tools enabled` in the MCP settings, try removing the `--package=task-master-ai` flag from `args`.
```
Can you please initialize taskmaster-ai into my project?
###### VSCode (`servers` + `type`)
```json
{
"servers": {
"taskmaster-ai": {
"command": "npx",
"args": ["-y", "--package=task-master-ai", "task-master-ai"],
"env": {
"ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
"PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
"OPENAI_API_KEY": "YOUR_OPENAI_KEY_HERE",
"GOOGLE_API_KEY": "YOUR_GOOGLE_KEY_HERE",
"MISTRAL_API_KEY": "YOUR_MISTRAL_KEY_HERE",
"OPENROUTER_API_KEY": "YOUR_OPENROUTER_KEY_HERE",
"XAI_API_KEY": "YOUR_XAI_KEY_HERE",
"AZURE_OPENAI_API_KEY": "YOUR_AZURE_KEY_HERE"
},
"type": "stdio"
}
}
}
```
4. **Use common commands** directly through your AI assistant:
> 🔑 Replace `YOUR_…_KEY_HERE` with your real API keys. You can remove keys you don't use.
#### 2. (Cursor-only) Enable Taskmaster MCP
Open Cursor Settings (Ctrl+Shift+J) ➡ Click on MCP tab on the left ➡ Enable task-master-ai with the toggle
#### 3. (Optional) Configure the models you want to use
In your editor's AI chat pane, say:
```txt
Can you parse my PRD at scripts/prd.txt?
What's the next task I should work on?
Can you help me implement task 3?
Can you help me expand task 4?
Change the main, research and fallback models to <model_name>, <model_name> and <model_name> respectively.
```
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
In your editor's AI chat pane, say:
```txt
Initialize taskmaster-ai in my project
```
#### 5. Make sure you have a PRD (Recommended)
For **new projects**: Create your PRD at `.taskmaster/docs/prd.txt`
For **existing projects**: You can use `scripts/prd.txt` or migrate with `task-master migrate`
An example PRD template is available after initialization in `.taskmaster/templates/example_prd.txt`.
> [!NOTE]
> While a PRD is recommended for complex projects, you can always create individual tasks by asking "Can you help me implement [description of what you want to do]?" in chat.
**Always start with a detailed PRD.**
The more detailed your PRD, the better the generated tasks will be.
#### 6. Common Commands
Use your AI assistant to:
- Parse requirements: `Can you parse my PRD at scripts/prd.txt?`
- Plan next step: `What's the next task I should work on?`
- Implement a task: `Can you help me implement task 3?`
- View multiple tasks: `Can you show me tasks 1, 3, and 5?`
- Expand a task: `Can you help me expand task 4?`
- **Research fresh information**: `Research the latest best practices for implementing JWT authentication with Node.js`
- **Research with context**: `Research React Query v5 migration strategies for our current API implementation in src/api.js`
[More examples on how to use Task Master in chat](docs/examples.md)
### Option 2: Using Command Line
#### Installation
@@ -80,6 +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.
@@ -99,23 +219,32 @@ task-master list
# Show the next task to work on
task-master next
# Show specific task(s) - supports comma-separated IDs
task-master show 1,3,5
# Research fresh information with project context
task-master research "What are the latest best practices for JWT authentication?"
# Generate task files
task-master generate
# Add rules after initialization
task-master rules add windsurf,roo,vscode
```
## Documentation
## Claude Code Support
For more detailed information, check out the documentation in the `docs` directory:
Task Master now supports Claude models through the Claude Code CLI, which requires no API key:
- [Configuration Guide](docs/configuration.md) - Set up environment variables and customize Task Master
- [Tutorial](docs/tutorial.md) - Step-by-step guide to getting started with Task Master
- [Command Reference](docs/command-reference.md) - Complete list of all available commands
- [Task Structure](docs/task-structure.md) - Understanding the task format and features
- [Example Interactions](docs/examples.md) - Common Cursor AI interaction examples
- **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:
### If `task-master init` doesn't respond
Try running it with Node directly:

View File

@@ -1,18 +1,22 @@
Below you will find a variety of important rules spanning:
- the dev_workflow
- the .windsurfrules document self-improvement workflow
- the template to follow when modifying or adding new sections/rules to this document.
---
DEV_WORKFLOW
---
## DEV_WORKFLOW
description: Guide for using meta-development script (scripts/dev.js) to manage task-driven development workflows
globs: **/*
filesToApplyRule: **/*
globs: **/\*
filesToApplyRule: **/\*
alwaysApply: true
---
- **Global CLI Commands**
- Task Master now provides a global CLI through the `task-master` command
- All functionality from `scripts/dev.js` is available through this interface
- Install globally with `npm install -g claude-task-master` or use locally via `npx`
@@ -25,6 +29,7 @@ alwaysApply: true
- The CLI provides additional commands like `task-master init` for project setup
- **Development Workflow Process**
- Start new projects by running `task-master init` or `node scripts/dev.js parse-prd --input=<prd-file.txt>` to generate initial tasks.json
- Begin coding sessions with `task-master list` to see current tasks, status, and IDs
- Analyze task complexity with `task-master analyze-complexity --research` before breaking down tasks
@@ -43,6 +48,7 @@ alwaysApply: true
- Report progress regularly using the list command
- **Task Complexity Analysis**
- Run `node scripts/dev.js analyze-complexity --research` for comprehensive analysis
- Review complexity report in scripts/task-complexity-report.json
- Or use `node scripts/dev.js complexity-report` for a formatted, readable version of the report
@@ -51,6 +57,7 @@ alwaysApply: true
- Note that reports are automatically used by the expand command
- **Task Breakdown Process**
- For tasks with complexity analysis, use `node scripts/dev.js expand --id=<id>`
- Otherwise use `node scripts/dev.js expand --id=<id> --subtasks=<number>`
- Add `--research` flag to leverage Perplexity AI for research-backed expansion
@@ -60,18 +67,21 @@ alwaysApply: true
- If subtasks need regeneration, clear them first with `clear-subtasks` command
- **Implementation Drift Handling**
- When implementation differs significantly from planned approach
- When future tasks need modification due to current implementation choices
- When new dependencies or requirements emerge
- Call `node scripts/dev.js update --from=<futureTaskId> --prompt="<explanation>"` to update tasks.json
- **Task Status Management**
- Use 'pending' for tasks ready to be worked on
- Use 'done' for completed and verified tasks
- Use 'deferred' for postponed tasks
- Add custom status values as needed for project-specific workflows
- **Task File Format Reference**
```
# Task ID: <id>
# Title: <title>
@@ -87,6 +97,7 @@ alwaysApply: true
```
- **Command Reference: parse-prd**
- Legacy Syntax: `node scripts/dev.js parse-prd --input=<prd-file.txt>`
- CLI Syntax: `task-master parse-prd --input=<prd-file.txt>`
- Description: Parses a PRD document and generates a tasks.json file with structured tasks
@@ -96,6 +107,7 @@ alwaysApply: true
- Notes: Will overwrite existing tasks.json file. Use with caution.
- **Command Reference: update**
- Legacy Syntax: `node scripts/dev.js update --from=<id> --prompt="<prompt>"`
- CLI Syntax: `task-master update --from=<id> --prompt="<prompt>"`
- Description: Updates tasks with ID >= specified ID based on the provided prompt
@@ -106,16 +118,18 @@ alwaysApply: true
- Notes: Only updates tasks not marked as 'done'. Completed tasks remain unchanged.
- **Command Reference: generate**
- Legacy Syntax: `node scripts/dev.js generate`
- CLI Syntax: `task-master generate`
- Description: Generates individual task files in tasks/ directory based on tasks.json
- Description: Generates individual task files based on tasks.json
- Parameters:
- `--file=<path>, -f`: Use alternative tasks.json file (default: 'tasks/tasks.json')
- `--output=<dir>, -o`: Output directory (default: 'tasks')
- `--file=<path>, -f`: Use alternative tasks.json file (default: '.taskmaster/tasks/tasks.json')
- `--output=<dir>, -o`: Output directory (default: '.taskmaster/tasks')
- Example: `task-master generate`
- Notes: Overwrites existing task files. Creates tasks/ directory if needed.
- Notes: Overwrites existing task files. Creates output directory if needed.
- **Command Reference: set-status**
- Legacy Syntax: `node scripts/dev.js set-status --id=<id> --status=<status>`
- CLI Syntax: `task-master set-status --id=<id> --status=<status>`
- Description: Updates the status of a specific task in tasks.json
@@ -126,6 +140,7 @@ alwaysApply: true
- Notes: Common values are 'done', 'pending', and 'deferred', but any string is accepted.
- **Command Reference: list**
- Legacy Syntax: `node scripts/dev.js list`
- CLI Syntax: `task-master list`
- Description: Lists all tasks in tasks.json with IDs, titles, and status
@@ -137,6 +152,7 @@ alwaysApply: true
- Notes: Provides quick overview of project progress. Use at start of sessions.
- **Command Reference: expand**
- Legacy Syntax: `node scripts/dev.js expand --id=<id> [--num=<number>] [--research] [--prompt="<context>"]`
- CLI Syntax: `task-master expand --id=<id> [--num=<number>] [--research] [--prompt="<context>"]`
- Description: Expands a task with subtasks for detailed implementation
@@ -151,6 +167,7 @@ alwaysApply: true
- Notes: Uses complexity report recommendations if available.
- **Command Reference: analyze-complexity**
- Legacy Syntax: `node scripts/dev.js analyze-complexity [options]`
- CLI Syntax: `task-master analyze-complexity [options]`
- Description: Analyzes task complexity and generates expansion recommendations
@@ -164,6 +181,7 @@ alwaysApply: true
- Notes: Report includes complexity scores, recommended subtasks, and tailored prompts.
- **Command Reference: clear-subtasks**
- Legacy Syntax: `node scripts/dev.js clear-subtasks --id=<id>`
- CLI Syntax: `task-master clear-subtasks --id=<id>`
- Description: Removes subtasks from specified tasks to allow regeneration
@@ -180,6 +198,7 @@ alwaysApply: true
- Works with both parent tasks and individual subtasks
- **Task Structure Fields**
- **id**: Unique identifier for the task (Example: `1`)
- **title**: Brief, descriptive title (Example: `"Initialize Repo"`)
- **description**: Concise summary of what the task involves (Example: `"Create a new repository, set up initial structure."`)
@@ -193,12 +212,13 @@ alwaysApply: true
- **subtasks**: List of smaller, more specific tasks (Example: `[{"id": 1, "title": "Configure OAuth", ...}]`)
- **Environment Variables Configuration**
- **ANTHROPIC_API_KEY** (Required): Your Anthropic API key for Claude (Example: `ANTHROPIC_API_KEY=sk-ant-api03-...`)
- **MODEL** (Default: `"claude-3-7-sonnet-20250219"`): Claude model to use (Example: `MODEL=claude-3-opus-20240229`)
- **MAX_TOKENS** (Default: `"4000"`): Maximum tokens for responses (Example: `MAX_TOKENS=8000`)
- **TEMPERATURE** (Default: `"0.7"`): Temperature for model responses (Example: `TEMPERATURE=0.5`)
- **DEBUG** (Default: `"false"`): Enable debug logging (Example: `DEBUG=true`)
- **LOG_LEVEL** (Default: `"info"`): Console output level (Example: `LOG_LEVEL=debug`)
- **TASKMASTER_LOG_LEVEL** (Default: `"info"`): Console output level (Example: `TASKMASTER_LOG_LEVEL=debug`)
- **DEFAULT_SUBTASKS** (Default: `"3"`): Default subtask count (Example: `DEFAULT_SUBTASKS=5`)
- **DEFAULT_PRIORITY** (Default: `"medium"`): Default priority (Example: `DEFAULT_PRIORITY=high`)
- **PROJECT_NAME** (Default: `"MCP SaaS MVP"`): Project name in metadata (Example: `PROJECT_NAME=My Awesome Project`)
@@ -207,6 +227,7 @@ alwaysApply: true
- **PERPLEXITY_MODEL** (Default: `"sonar-medium-online"`): Perplexity model (Example: `PERPLEXITY_MODEL=sonar-large-online`)
- **Determining the Next Task**
- Run `task-master next` to show the next task to work on
- The next command identifies tasks with all dependencies satisfied
- Tasks are prioritized by priority level, dependency count, and ID
@@ -221,6 +242,7 @@ alwaysApply: true
- Provides ready-to-use commands for common task actions
- **Viewing Specific Task Details**
- Run `task-master show <id>` or `task-master show --id=<id>` to view a specific task
- Use dot notation for subtasks: `task-master show 1.2` (shows subtask 2 of task 1)
- Displays comprehensive information similar to the next command, but for a specific task
@@ -230,6 +252,7 @@ alwaysApply: true
- Useful for examining task details before implementation or checking status
- **Managing Task Dependencies**
- Use `task-master add-dependency --id=<id> --depends-on=<id>` to add a dependency
- Use `task-master remove-dependency --id=<id> --depends-on=<id>` to remove a dependency
- The system prevents circular dependencies and duplicate dependency entries
@@ -238,6 +261,7 @@ alwaysApply: true
- Dependencies are visualized with status indicators in task listings and files
- **Command Reference: add-dependency**
- Legacy Syntax: `node scripts/dev.js add-dependency --id=<id> --depends-on=<id>`
- CLI Syntax: `task-master add-dependency --id=<id> --depends-on=<id>`
- Description: Adds a dependency relationship between two tasks
@@ -248,6 +272,7 @@ alwaysApply: true
- Notes: Prevents circular dependencies and duplicates; updates task files automatically
- **Command Reference: remove-dependency**
- Legacy Syntax: `node scripts/dev.js remove-dependency --id=<id> --depends-on=<id>`
- CLI Syntax: `task-master remove-dependency --id=<id> --depends-on=<id>`
- Description: Removes a dependency relationship between two tasks
@@ -258,6 +283,7 @@ alwaysApply: true
- Notes: Checks if dependency actually exists; updates task files automatically
- **Command Reference: validate-dependencies**
- Legacy Syntax: `node scripts/dev.js validate-dependencies [options]`
- CLI Syntax: `task-master validate-dependencies [options]`
- Description: Checks for and identifies invalid dependencies in tasks.json and task files
@@ -270,6 +296,7 @@ alwaysApply: true
- Use before fix-dependencies to audit your task structure
- **Command Reference: fix-dependencies**
- Legacy Syntax: `node scripts/dev.js fix-dependencies [options]`
- CLI Syntax: `task-master fix-dependencies [options]`
- Description: Finds and fixes all invalid dependencies in tasks.json and task files
@@ -283,6 +310,7 @@ alwaysApply: true
- Provides detailed report of all fixes made
- **Command Reference: complexity-report**
- Legacy Syntax: `node scripts/dev.js complexity-report [options]`
- CLI Syntax: `task-master complexity-report [options]`
- Description: Displays the task complexity analysis report in a formatted, easy-to-read way
@@ -296,6 +324,7 @@ alwaysApply: true
- If no report exists, offers to generate one interactively
- **Command Reference: add-task**
- CLI Syntax: `task-master add-task [options]`
- Description: Add a new task to tasks.json using AI
- Parameters:
@@ -307,6 +336,7 @@ alwaysApply: true
- Notes: Uses AI to convert description into structured task with appropriate details
- **Command Reference: init**
- CLI Syntax: `task-master init`
- Description: Initialize a new project with Task Master structure
- Parameters: None
@@ -341,15 +371,20 @@ alwaysApply: true
- Check for any unintentional duplications or omissions
---
WINDSURF_RULES
---
## WINDSURF_RULES
description: Guidelines for creating and maintaining Windsurf rules to ensure consistency and effectiveness.
globs: .windsurfrules
filesToApplyRule: .windsurfrules
alwaysApply: true
---
The below describes how you should be structuring new rule sections in this document.
- **Required Rule Structure:**
```markdown
---
description: Clear, one-line description of what the rule enforces
@@ -363,11 +398,14 @@ The below describes how you should be structuring new rule sections in this docu
```
- **Section References:**
- Use `ALL_CAPS_SECTION` to reference files
- Example: `WINDSURF_RULES`
- **Code Examples:**
- Use language-specific code blocks
```typescript
// ✅ DO: Show good examples
const goodExample = true;
@@ -377,6 +415,7 @@ The below describes how you should be structuring new rule sections in this docu
```
- **Rule Content Guidelines:**
- Start with high-level overview
- Include specific, actionable requirements
- Show examples of correct implementation
@@ -384,6 +423,7 @@ The below describes how you should be structuring new rule sections in this docu
- Keep rules DRY by referencing other rules
- **Rule Maintenance:**
- Update rules when new patterns emerge
- Add examples from actual codebase
- Remove outdated patterns
@@ -397,15 +437,18 @@ The below describes how you should be structuring new rule sections in this docu
- Use consistent formatting across rules
---
SELF_IMPROVE
---
## SELF_IMPROVE
description: Guidelines for continuously improving this rules document based on emerging code patterns and best practices.
globs: **/*
filesToApplyRule: **/*
globs: **/\*
filesToApplyRule: **/\*
alwaysApply: true
---
- **Rule Improvement Triggers:**
- New code patterns not covered by existing rules
- Repeated similar implementations across files
- Common error patterns that could be prevented
@@ -413,6 +456,7 @@ alwaysApply: true
- Emerging best practices in the codebase
- **Analysis Process:**
- Compare new code with existing rules
- Identify patterns that should be standardized
- Look for references to external documentation
@@ -420,7 +464,9 @@ alwaysApply: true
- Monitor test patterns and coverage
- **Rule Updates:**
- **Add New Rules When:**
- A new technology/pattern is used in 3+ files
- Common bugs could be prevented by a rule
- Code reviews repeatedly mention the same feedback
@@ -433,11 +479,12 @@ alwaysApply: true
- Implementation details have changed
- **Example Pattern Recognition:**
```typescript
// If you see repeated patterns like:
const data = await prisma.user.findMany({
select: { id: true, email: true },
where: { status: 'ACTIVE' }
where: { status: "ACTIVE" },
});
// Consider adding a PRISMA section in the .windsurfrules:
@@ -447,12 +494,14 @@ alwaysApply: true
```
- **Rule Quality Checks:**
- Rules should be actionable and specific
- Examples should come from actual code
- References should be up to date
- Patterns should be consistently enforced
- **Continuous Improvement:**
- Monitor code review comments
- Track common development questions
- Update rules after major refactors
@@ -460,6 +509,7 @@ alwaysApply: true
- Cross-reference related rules
- **Rule Deprecation:**
- Mark outdated patterns as deprecated
- Remove rules that no longer apply
- Update references to deprecated rules

417
assets/AGENTS.md Normal file
View File

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

View File

@@ -14,8 +14,8 @@
},
"fallback": {
"provider": "anthropic",
"modelId": "claude-3.5-sonnet-20240620",
"maxTokens": 120000,
"modelId": "claude-3-5-sonnet-20240620",
"maxTokens": 8192,
"temperature": 0.1
}
},
@@ -25,7 +25,9 @@
"defaultSubtasks": 5,
"defaultPriority": "medium",
"projectName": "Taskmaster",
"ollamaBaseUrl": "http://localhost:11434/api",
"azureOpenaiBaseUrl": "https://your-endpoint.openai.azure.com/"
"defaultTag": "master",
"ollamaBaseURL": "http://localhost:11434/api",
"azureOpenaiBaseURL": "https://your-endpoint.openai.azure.com/",
"bedrockBaseURL": "https://bedrock.us-east-1.amazonaws.com"
}
}

View File

@@ -1,8 +1,10 @@
# API Keys (Required to enable respective provider)
ANTHROPIC_API_KEY=your_anthropic_api_key_here # Required: Format: sk-ant-api03-...
PERPLEXITY_API_KEY=your_perplexity_api_key_here # Optional: Format: pplx-...
OPENAI_API_KEY=your_openai_api_key_here # Optional, for OpenAI/OpenRouter models. Format: sk-proj-...
GOOGLE_API_KEY=your_google_api_key_here # Optional, for Google Gemini models.
MISTRAL_API_KEY=your_mistral_key_here # Optional, for Mistral AI models.
XAI_API_KEY=YOUR_XAI_KEY_HERE # Optional, for xAI AI models.
AZURE_OPENAI_API_KEY=your_azure_key_here # Optional, for Azure OpenAI models (requires endpoint in .taskmasterconfig).
ANTHROPIC_API_KEY="your_anthropic_api_key_here" # Required: Format: sk-ant-api03-...
PERPLEXITY_API_KEY="your_perplexity_api_key_here" # Optional: Format: pplx-...
OPENAI_API_KEY="your_openai_api_key_here" # Optional, for OpenAI/OpenRouter models. Format: sk-proj-...
GOOGLE_API_KEY="your_google_api_key_here" # Optional, for Google Gemini models.
MISTRAL_API_KEY="your_mistral_key_here" # Optional, for Mistral AI models.
XAI_API_KEY="YOUR_XAI_KEY_HERE" # Optional, for xAI AI models.
AZURE_OPENAI_API_KEY="your_azure_key_here" # Optional, for Azure OpenAI models (requires endpoint in .taskmaster/config.json).
OLLAMA_API_KEY="your_ollama_api_key_here" # Optional: For remote Ollama servers that require authentication.
GITHUB_API_KEY="your_github_api_key_here" # Optional: For GitHub import/export features. Format: ghp_... or github_pat_...

View File

@@ -23,7 +23,3 @@ node_modules/
# OS specific
.DS_Store
# Task files
tasks.json
tasks/

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]'.

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@@ -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": [
@@ -39,7 +39,7 @@
{
"slug": "debug",
"name": "Debug",
"roleDefinition": "You are Roo, an expert software debugger specializing in systematic problem diagnosis and resolution. When activated by another mdode, your task is to meticulously analyze the provided debugging request (potentially referencing Taskmaster tasks, logs, or metrics), use diagnostic tools as instructed to investigate the issue, identify the root cause, and report your findings and recommended next steps back via `attempt_completion`. You focus solely on diagnostics within the scope defined by the delegated task.",
"roleDefinition": "You are Roo, an expert software debugger specializing in systematic problem diagnosis and resolution. When activated by another mode, your task is to meticulously analyze the provided debugging request (potentially referencing Taskmaster tasks, logs, or metrics), use diagnostic tools as instructed to investigate the issue, identify the root cause, and report your findings and recommended next steps back via `attempt_completion`. You focus solely on diagnostics within the scope defined by the delegated task.",
"customInstructions": "Reflect on 5-7 different possible sources of the problem, distill those down to 1-2 most likely sources, and then add logs to validate your assumptions. Explicitly ask the user to confirm the diagnosis before fixing the problem.",
"groups": [
"read",

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

@@ -20,7 +20,7 @@ In an AI-driven development process—particularly with tools like [Cursor](http
Task Master configuration is now managed through two primary methods:
1. **`.taskmasterconfig` File (Project Root - Primary)**
1. **`.taskmaster/config.json` File (Project Root - Primary)**
- Stores AI model selections (`main`, `research`, `fallback`), model parameters (`maxTokens`, `temperature`), `logLevel`, `defaultSubtasks`, `defaultPriority`, `projectName`, etc.
- Managed using the `task-master models --setup` command or the `models` MCP tool.
@@ -31,7 +31,7 @@ Task Master configuration is now managed through two primary methods:
- Create a `.env` file in your project root for CLI usage.
- See `assets/env.example` for required key names.
**Important:** Settings like `MODEL`, `MAX_TOKENS`, `TEMPERATURE`, `LOG_LEVEL`, etc., are **no longer set via `.env`**. Use `task-master models --setup` instead.
**Important:** Settings like `MODEL`, `MAX_TOKENS`, `TEMPERATURE`, `TASKMASTER_LOG_LEVEL`, etc., are **no longer set via `.env`**. Use `task-master models --setup` instead.
## How It Works
@@ -192,7 +192,7 @@ Notes:
## AI Integration (Updated)
- The script now uses a unified AI service layer (`ai-services-unified.js`).
- Model selection (e.g., Claude vs. Perplexity for `--research`) is determined by the configuration in `.taskmasterconfig` based on the requested `role` (`main` or `research`).
- Model selection (e.g., Claude vs. Perplexity for `--research`) is determined by the configuration in `.taskmaster/config.json` based on the requested `role` (`main` or `research`).
- API keys are automatically resolved from your `.env` file (for CLI) or MCP session environment.
- To use the research capabilities (e.g., `expand --research`), ensure you have:
1. Configured a model for the `research` role using `task-master models --setup` (Perplexity models are recommended).
@@ -200,7 +200,7 @@ Notes:
## Logging
The script supports different logging levels controlled by the `LOG_LEVEL` environment variable:
The script supports different logging levels controlled by the `TASKMASTER_LOG_LEVEL` environment variable:
- `debug`: Detailed information, typically useful for troubleshooting
- `info`: Confirmation that things are working as expected (default)
@@ -357,25 +357,25 @@ The output report structure is:
```json
{
"meta": {
"generatedAt": "2023-06-15T12:34:56.789Z",
"tasksAnalyzed": 20,
"thresholdScore": 5,
"projectName": "Your Project Name",
"usedResearch": true
},
"complexityAnalysis": [
{
"taskId": 8,
"taskTitle": "Develop Implementation Drift Handling",
"complexityScore": 9.5,
"recommendedSubtasks": 6,
"expansionPrompt": "Create subtasks that handle detecting...",
"reasoning": "This task requires sophisticated logic...",
"expansionCommand": "task-master expand --id=8 --num=6 --prompt=\"Create subtasks...\" --research"
}
// More tasks sorted by complexity score (highest first)
]
"meta": {
"generatedAt": "2023-06-15T12:34:56.789Z",
"tasksAnalyzed": 20,
"thresholdScore": 5,
"projectName": "Your Project Name",
"usedResearch": true
},
"complexityAnalysis": [
{
"taskId": 8,
"taskTitle": "Develop Implementation Drift Handling",
"complexityScore": 9.5,
"recommendedSubtasks": 6,
"expansionPrompt": "Create subtasks that handle detecting...",
"reasoning": "This task requires sophisticated logic...",
"expansionCommand": "task-master expand --id=8 --num=6 --prompt=\"Create subtasks...\" --research"
}
// More tasks sorted by complexity score (highest first)
]
}
```

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 };

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

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

View File

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

View File

@@ -43,10 +43,28 @@ task-master show <id>
# or
task-master show --id=<id>
# View multiple tasks with comma-separated IDs
task-master show 1,3,5
task-master show 44,55
# View a specific subtask (e.g., subtask 2 of task 1)
task-master show 1.2
# Mix parent tasks and subtasks
task-master show 44,44.1,55,55.2
```
**Multiple Task Display:**
- **Single ID**: Shows detailed task view with full implementation details
- **Multiple IDs**: Shows compact summary table with interactive action menu
- **Action Menu**: Provides copy-paste ready commands for batch operations:
- Mark all as in-progress/done
- Show next available task
- Expand all tasks (generate subtasks)
- View dependency relationships
- Generate task files
## Update Tasks
```bash
@@ -187,6 +205,32 @@ task-master validate-dependencies
task-master fix-dependencies
```
## Move Tasks
```bash
# Move a task or subtask to a new position
task-master move --from=<id> --to=<id>
# Examples:
# Move task to become a subtask
task-master move --from=5 --to=7
# Move subtask to become a standalone task
task-master move --from=5.2 --to=7
# Move subtask to a different parent
task-master move --from=5.2 --to=7.3
# Reorder subtasks within the same parent
task-master move --from=5.2 --to=5.4
# Move a task to a new ID position (creates placeholder if doesn't exist)
task-master move --from=5 --to=25
# Move multiple tasks at once (must have the same number of IDs)
task-master move --from=10,11,12 --to=16,17,18
```
## Add a New Task
```bash
@@ -203,13 +247,115 @@ task-master add-task --prompt="Description" --dependencies=1,2,3
task-master add-task --prompt="Description" --priority=high
```
## Tag Management
Task Master supports tagged task lists for multi-context task management. Each tag represents a separate, isolated context for tasks.
```bash
# List all available tags with task counts and status
task-master tags
# List tags with detailed metadata
task-master tags --show-metadata
# Create a new empty tag
task-master add-tag <tag-name>
# Create a new tag with a description
task-master add-tag <tag-name> --description="Feature development tasks"
# Create a tag based on current git branch name
task-master add-tag --from-branch
# Create a new tag by copying tasks from the current tag
task-master add-tag <new-tag> --copy-from-current
# Create a new tag by copying from a specific tag
task-master add-tag <new-tag> --copy-from=<source-tag>
# Switch to a different tag context
task-master use-tag <tag-name>
# Rename an existing tag
task-master rename-tag <old-name> <new-name>
# Copy an entire tag to create a new one
task-master copy-tag <source-tag> <target-tag>
# Copy a tag with a description
task-master copy-tag <source-tag> <target-tag> --description="Copied for testing"
# Delete a tag and all its tasks (with confirmation)
task-master delete-tag <tag-name>
# Delete a tag without confirmation prompt
task-master delete-tag <tag-name> --yes
```
**Tag Context:**
- All task operations (list, show, add, update, etc.) work within the currently active tag
- Use `--tag=<name>` flag with most commands to operate on a specific tag context
- Tags provide complete isolation - tasks in different tags don't interfere with each other
## Initialize a Project
```bash
# Initialize a new project with Task Master structure
task-master init
# 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
@@ -235,4 +381,70 @@ task-master models --set-research=google/gemini-pro --openrouter
task-master models --setup
```
Configuration is stored in `.taskmasterconfig` in your project root. API keys are still managed via `.env` or MCP configuration. Use `task-master models` without flags to see available built-in models. Use `--setup` for a guided experience.
Configuration is stored in `.taskmaster/config.json` in your project root (legacy `.taskmasterconfig` files are automatically migrated). API keys are still managed via `.env` or MCP configuration. Use `task-master models` without flags to see available built-in models. Use `--setup` for a guided experience.
State is stored in `.taskmaster/state.json` in your project root. It maintains important information like the current tag. Do not manually edit this file.
## Research Fresh Information
```bash
# Perform AI-powered research with fresh, up-to-date information
task-master research "What are the latest best practices for JWT authentication in Node.js?"
# Research with specific task context
task-master research "How to implement OAuth 2.0?" --id=15,16
# Research with file context for code-aware suggestions
task-master research "How can I optimize this API implementation?" --files=src/api.js,src/auth.js
# Research with custom context and project tree
task-master research "Best practices for error handling" --context="We're using Express.js" --tree
# Research with different detail levels
task-master research "React Query v5 migration guide" --detail=high
# Disable interactive follow-up questions (useful for scripting, is the default for MCP)
# Use a custom tasks file location
task-master research "How to implement this feature?" --file=custom-tasks.json
# Research within a specific tag context
task-master research "Database optimization strategies" --tag=feature-branch
# Save research conversation to .taskmaster/docs/research/ directory (for later reference)
task-master research "Database optimization techniques" --save-file
# Save key findings directly to a task or subtask (recommended for actionable insights)
task-master research "How to implement OAuth?" --save-to=15
task-master research "API optimization strategies" --save-to=15.2
# Combine context gathering with automatic saving of findings
task-master research "Best practices for this implementation" --id=15,16 --files=src/auth.js --save-to=15.3
```
**The research command is a powerful exploration tool that provides:**
- **Fresh information beyond AI knowledge cutoffs**
- **Project-aware context** from your tasks and files
- **Automatic task discovery** using fuzzy search
- **Multiple detail levels** (low, medium, high)
- **Token counting and cost tracking**
- **Interactive follow-up questions** for deep exploration
- **Flexible save options** (commit findings to tasks or preserve conversations)
- **Iterative discovery** through continuous questioning and refinement
**Use research frequently to:**
- Get current best practices before implementing features
- Research new technologies and libraries
- Find solutions to complex problems
- Validate your implementation approaches
- Stay updated with latest security recommendations
**Interactive Features (CLI):**
- **Follow-up questions** that maintain conversation context and allow deep exploration
- **Save menu** during or after research with flexible options:
- **Save to task/subtask**: Commit key findings and actionable insights (recommended)
- **Save to file**: Preserve entire conversation for later reference if needed
- **Continue exploring**: Ask more follow-up questions to dig deeper
- **Automatic file naming** with timestamps and query-based slugs when saving conversations

View File

@@ -2,70 +2,129 @@
Taskmaster uses two primary methods for configuration:
1. **`.taskmasterconfig` File (Project Root - Recommended for most settings)**
1. **`.taskmaster/config.json` File (Recommended - New Structure)**
- This JSON file stores most configuration settings, including AI model selections, parameters, logging levels, and project defaults.
- **Location:** This file is created in the root directory of your project when you run the `task-master models --setup` interactive setup. You typically do this during the initialization sequence. Do not manually edit this file beyond adjusting Temperature and Max Tokens depending on your model.
- **Location:** This file is created in the `.taskmaster/` directory when you run the `task-master models --setup` interactive setup or initialize a new project with `task-master init`.
- **Migration:** Existing projects with `.taskmasterconfig` in the root will continue to work, but should be migrated to the new structure using `task-master migrate`.
- **Management:** Use the `task-master models --setup` command (or `models` MCP tool) to interactively create and manage this file. You can also set specific models directly using `task-master models --set-<role>=<model_id>`, adding `--ollama` or `--openrouter` flags for custom models. Manual editing is possible but not recommended unless you understand the structure.
- **Example Structure:**
```json
{
"models": {
"main": {
"provider": "anthropic",
"modelId": "claude-3-7-sonnet-20250219",
"maxTokens": 64000,
"temperature": 0.2
},
"research": {
"provider": "perplexity",
"modelId": "sonar-pro",
"maxTokens": 8700,
"temperature": 0.1
},
"fallback": {
"provider": "anthropic",
"modelId": "claude-3-5-sonnet",
"maxTokens": 64000,
"temperature": 0.2
}
},
"global": {
"logLevel": "info",
"debug": false,
"defaultSubtasks": 5,
"defaultPriority": "medium",
"projectName": "Your Project Name",
"ollamaBaseUrl": "http://localhost:11434/api",
"azureOpenaiBaseUrl": "https://your-endpoint.openai.azure.com/"
}
"models": {
"main": {
"provider": "anthropic",
"modelId": "claude-3-7-sonnet-20250219",
"maxTokens": 64000,
"temperature": 0.2,
"baseURL": "https://api.anthropic.com/v1"
},
"research": {
"provider": "perplexity",
"modelId": "sonar-pro",
"maxTokens": 8700,
"temperature": 0.1,
"baseURL": "https://api.perplexity.ai/v1"
},
"fallback": {
"provider": "anthropic",
"modelId": "claude-3-5-sonnet",
"maxTokens": 64000,
"temperature": 0.2
}
},
"global": {
"logLevel": "info",
"debug": false,
"defaultSubtasks": 5,
"defaultPriority": "medium",
"defaultTag": "master",
"projectName": "Your Project Name",
"ollamaBaseURL": "http://localhost:11434/api",
"azureBaseURL": "https://your-endpoint.azure.com/",
"vertexProjectId": "your-gcp-project-id",
"vertexLocation": "us-central1"
}
}
```
2. **Environment Variables (`.env` file or MCP `env` block - For API Keys Only)**
- Used **exclusively** for sensitive API keys and specific endpoint URLs.
- **Location:**
- For CLI usage: Create a `.env` file in your project root.
- For MCP/Cursor usage: Configure keys in the `env` section of your `.cursor/mcp.json` file.
- **Required API Keys (Depending on configured providers):**
- `ANTHROPIC_API_KEY`: Your Anthropic API key.
- `PERPLEXITY_API_KEY`: Your Perplexity API key.
- `OPENAI_API_KEY`: Your OpenAI API key.
- `GOOGLE_API_KEY`: Your Google API key.
- `MISTRAL_API_KEY`: Your Mistral API key.
- `AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key (also requires `AZURE_OPENAI_ENDPOINT`).
- `OPENROUTER_API_KEY`: Your OpenRouter API key.
- `XAI_API_KEY`: Your X-AI API key.
- **Optional Endpoint Overrides (in .taskmasterconfig):**
- `AZURE_OPENAI_ENDPOINT`: Required if using Azure OpenAI key.
- `OLLAMA_BASE_URL`: Override the default Ollama API URL (Default: `http://localhost:11434/api`).
2. **Legacy `.taskmasterconfig` File (Backward Compatibility)**
**Important:** Settings like model ID selections (`main`, `research`, `fallback`), `maxTokens`, `temperature`, `logLevel`, `defaultSubtasks`, `defaultPriority`, and `projectName` are **managed in `.taskmasterconfig`**, not environment variables.
- For projects that haven't migrated to the new structure yet.
- **Location:** Project root directory.
- **Migration:** Use `task-master migrate` to move this to `.taskmaster/config.json`.
- **Deprecation:** While still supported, you'll see warnings encouraging migration to the new structure.
## Environment Variables (`.env` file or MCP `env` block - For API Keys Only)
- Used **exclusively** for sensitive API keys and specific endpoint URLs.
- **Location:**
- For CLI usage: Create a `.env` file in your project root.
- For MCP/Cursor usage: Configure keys in the `env` section of your `.cursor/mcp.json` file.
- **Required API Keys (Depending on configured providers):**
- `ANTHROPIC_API_KEY`: Your Anthropic API key.
- `PERPLEXITY_API_KEY`: Your Perplexity API key.
- `OPENAI_API_KEY`: Your OpenAI API key.
- `GOOGLE_API_KEY`: Your Google API key (also used for Vertex AI provider).
- `MISTRAL_API_KEY`: Your Mistral API key.
- `AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key (also requires `AZURE_OPENAI_ENDPOINT`).
- `OPENROUTER_API_KEY`: Your OpenRouter API key.
- `XAI_API_KEY`: Your X-AI API key.
- **Optional Endpoint Overrides:**
- **Per-role `baseURL` in `.taskmasterconfig`:** You can add a `baseURL` property to any model role (`main`, `research`, `fallback`) to override the default API endpoint for that provider. If omitted, the provider's standard endpoint is used.
- **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.
- `VERTEX_LOCATION`: Google Cloud region for Vertex AI (e.g., 'us-central1'). Default is 'us-central1'.
- `GOOGLE_APPLICATION_CREDENTIALS`: Path to service account credentials JSON file for Google Cloud auth (alternative to API key for Vertex AI).
**Important:** Settings like model ID selections (`main`, `research`, `fallback`), `maxTokens`, `temperature`, `logLevel`, `defaultSubtasks`, `defaultPriority`, and `projectName` are **managed in `.taskmaster/config.json`** (or `.taskmasterconfig` for unmigrated projects), not environment variables.
## Tagged Task Lists Configuration (v0.17+)
Taskmaster includes a tagged task lists system for multi-context task management.
### Global Tag Settings
```json
"global": {
"defaultTag": "master"
}
```
- **`defaultTag`** (string): Default tag context for new operations (default: "master")
### Git Integration
Task Master provides manual git integration through the `--from-branch` option:
- **Manual Tag Creation**: Use `task-master add-tag --from-branch` to create a tag based on your current git branch name
- **User Control**: No automatic tag switching - you control when and how tags are created
- **Flexible Workflow**: Supports any git workflow without imposing rigid branch-tag mappings
## State Management File
Taskmaster uses `.taskmaster/state.json` to track tagged system runtime information:
```json
{
"currentTag": "master",
"lastSwitched": "2025-06-11T20:26:12.598Z",
"migrationNoticeShown": true
}
```
- **`currentTag`**: Currently active tag context
- **`lastSwitched`**: Timestamp of last tag switch
- **`migrationNoticeShown`**: Whether migration notice has been displayed
This file is automatically created during tagged system migration and should not be manually edited.
## Example `.env` File (for API Keys)
```
# Required API keys for providers configured in .taskmasterconfig
# Required API keys for providers configured in .taskmaster/config.json
ANTHROPIC_API_KEY=sk-ant-api03-your-key-here
PERPLEXITY_API_KEY=pplx-your-key-here
# OPENAI_API_KEY=sk-your-key-here
@@ -73,16 +132,23 @@ PERPLEXITY_API_KEY=pplx-your-key-here
# etc.
# Optional Endpoint Overrides
# 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_ENDPOINT=https://your-azure-endpoint.openai.azure.com/
# 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
```
## Troubleshooting
### Configuration Errors
- If Task Master reports errors about missing configuration or cannot find `.taskmasterconfig`, run `task-master models --setup` in your project root to create or repair the file.
- Ensure API keys are correctly placed in your `.env` file (for CLI) or `.cursor/mcp.json` (for MCP) and are valid for the providers selected in `.taskmasterconfig`.
- If Task Master reports errors about missing configuration or cannot find the config file, run `task-master models --setup` in your project root to create or repair the file.
- For new projects, config will be created at `.taskmaster/config.json`. For legacy projects, you may want to use `task-master migrate` to move to the new structure.
- Ensure API keys are correctly placed in your `.env` file (for CLI) or `.cursor/mcp.json` (for MCP) and are valid for the providers selected in your config file.
### If `task-master init` doesn't respond:
@@ -99,3 +165,45 @@ git clone https://github.com/eyaltoledano/claude-task-master.git
cd claude-task-master
node scripts/init.js
```
## Provider-Specific Configuration
### Google Vertex AI Configuration
Google Vertex AI is Google Cloud's enterprise AI platform and requires specific configuration:
1. **Prerequisites**:
- A Google Cloud account with Vertex AI API enabled
- Either a Google API key with Vertex AI permissions OR a service account with appropriate roles
- A Google Cloud project ID
2. **Authentication Options**:
- **API Key**: Set the `GOOGLE_API_KEY` environment variable
- **Service Account**: Set `GOOGLE_APPLICATION_CREDENTIALS` to point to your service account JSON file
3. **Required Configuration**:
- Set `VERTEX_PROJECT_ID` to your Google Cloud project ID
- Set `VERTEX_LOCATION` to your preferred Google Cloud region (default: us-central1)
4. **Example Setup**:
```bash
# In .env file
GOOGLE_API_KEY=AIzaSyXXXXXXXXXXXXXXXXXXXXXXXXX
VERTEX_PROJECT_ID=my-gcp-project-123
VERTEX_LOCATION=us-central1
```
Or using service account:
```bash
# In .env file
GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json
VERTEX_PROJECT_ID=my-gcp-project-123
VERTEX_LOCATION=us-central1
```
5. **In .taskmaster/config.json**:
```json
"global": {
"vertexProjectId": "my-gcp-project-123",
"vertexLocation": "us-central1"
}
```

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

@@ -5,7 +5,7 @@ Here are some common interactions with Cursor AI when using Task Master:
## Starting a new project
```
I've just initialized a new project with Claude Task Master. I have a PRD at scripts/prd.txt.
I've just initialized a new project with Claude Task Master. I have a PRD at .taskmaster/docs/prd.txt.
Can you help me parse it and set up the initial tasks?
```
@@ -21,6 +21,20 @@ What's the next task I should work on? Please consider dependencies and prioriti
I'd like to implement task 4. Can you help me understand what needs to be done and how to approach it?
```
## Viewing multiple tasks
```
Can you show me tasks 1, 3, and 5 so I can understand their relationship?
```
```
I need to see the status of tasks 44, 55, and their subtasks. Can you show me those?
```
```
Show me tasks 10, 12, and 15 and give me some batch actions I can perform on them.
```
## Managing subtasks
```
@@ -30,7 +44,7 @@ I need to regenerate the subtasks for task 3 with a different approach. Can you
## Handling changes
```
We've decided to use MongoDB instead of PostgreSQL. Can you update all future tasks to reflect this change?
I've decided to use MongoDB instead of PostgreSQL. Can you update all future tasks to reflect this change?
```
## Completing work
@@ -40,6 +54,34 @@ I've finished implementing the authentication system described in task 2. All te
Please mark it as complete and tell me what I should work on next.
```
## Reorganizing tasks
```
I think subtask 5.2 would fit better as part of task 7. Can you move it there?
```
(Agent runs: `task-master move --from=5.2 --to=7.3`)
```
Task 8 should actually be a subtask of task 4. Can you reorganize this?
```
(Agent runs: `task-master move --from=8 --to=4.1`)
```
I just merged the main branch and there's a conflict in tasks.json. My teammates created tasks 10-15 on their branch while I created tasks 10-12 on my branch. Can you help me resolve this by moving my tasks?
```
(Agent runs:
```bash
task-master move --from=10 --to=16
task-master move --from=11 --to=17
task-master move --from=12 --to=18
```
)
## Analyzing complexity
```
@@ -81,3 +123,136 @@ Please add a new task to implement user profile image uploads using Cloudinary,
```
(Agent runs: `task-master add-task --prompt="Implement user profile image uploads using Cloudinary" --research`)
## Research-Driven Development
### Getting Fresh Information
```
Research the latest best practices for implementing JWT authentication in Node.js applications.
```
(Agent runs: `task-master research "Latest best practices for JWT authentication in Node.js"`)
### Research with Project Context
```
I'm working on task 15 which involves API optimization. Can you research current best practices for our specific implementation?
```
(Agent runs: `task-master research "API optimization best practices" --id=15 --files=src/api.js`)
### Research Before Implementation
```
Before I implement task 8 (React Query integration), can you research the latest React Query v5 patterns and any breaking changes?
```
(Agent runs: `task-master research "React Query v5 patterns and breaking changes" --id=8`)
### Research and Update Pattern
```
Research the latest security recommendations for Express.js applications and update our authentication task with the findings.
```
(Agent runs:
1. `task-master research "Latest Express.js security recommendations" --id=12`
2. `task-master update-subtask --id=12.3 --prompt="Updated with latest security findings: [research results]"`)
### Research for Debugging
```
I'm having issues with our WebSocket implementation in task 20. Can you research common WebSocket problems and solutions?
```
(Agent runs: `task-master research "Common WebSocket implementation problems and solutions" --id=20 --files=src/websocket.js`)
### Research Technology Comparisons
```
We need to choose between Redis and Memcached for caching. Can you research the current recommendations for our use case?
```
(Agent runs: `task-master research "Redis vs Memcached 2024 comparison for session caching" --tree`)
## Git Integration and Tag Management
### Creating Tags for Feature Branches
```
I'm starting work on a new feature branch for user authentication. Can you create a matching task tag?
```
(Agent runs: `task-master add-tag --from-branch`)
### Creating Named Tags
```
Create a new tag called 'api-v2' for our API redesign work.
```
(Agent runs: `task-master add-tag api-v2 --description="API v2 redesign tasks"`)
### Switching Tag Contexts
```
Switch to the 'testing' tag so I can work on QA tasks.
```
(Agent runs: `task-master use-tag testing`)
### Copying Tasks Between Tags
```
I need to copy the current tasks to a new 'hotfix' tag for urgent fixes.
```
(Agent runs: `task-master add-tag hotfix --copy-from-current --description="Urgent hotfix tasks"`)
### Managing Multiple Contexts
```
Show me all available tags and their current status.
```
(Agent runs: `task-master tags --show-metadata`)
### Tag Cleanup
```
I've finished the 'user-auth' feature and merged the branch. Can you clean up the tag?
```
(Agent runs: `task-master delete-tag user-auth`)
### Working with Tag-Specific Tasks
```
List all tasks in the 'api-v2' tag context.
```
(Agent runs: `task-master use-tag api-v2` then `task-master list`)
### Branch-Based Development Workflow
```
I'm switching to work on the 'feature/payments' branch. Can you set up the task context for this?
```
(Agent runs:
1. `git checkout feature/payments`
2. `task-master add-tag --from-branch --description="Payment system implementation"`
3. `task-master list` to show tasks in the new context)
### Parallel Feature Development
```
I need to work on both authentication and payment features simultaneously. How should I organize the tasks?
```
(Agent suggests and runs:
1. `task-master add-tag auth --description="Authentication feature tasks"`
2. `task-master add-tag payments --description="Payment system tasks"`
3. `task-master use-tag auth` to start with authentication work)

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