* fix: remove claude code clear tm commands
* readded taskmaster claude code commands previously removed
* Update crazy-zebras-drum.md
Updated via nudging from task rabbit - changeset now more direct and no longer mentions issues.
* claude code remove subtasks added back to assets
---------
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
Co-authored-by: Jeremy Watt <jeremywatt@Jeremys-Mac-mini.local>
* docs: Auto-update and format models.md
* docs(ui,cli): remove --force from cross-tag move guidance; recommend --with-dependencies/--ignore-dependencies
- scripts/modules/ui.js: drop force tip in conflict resolution
- scripts/modules/commands.js: remove force examples from move help
- docs/cross-tag-task-movement.md: purge force mentions; add explicit with/ignore examples
* test(move): update cross-tag move tests to drop --force; assert with/ignore deps behavior and current-tag fallback
- CLI integration: remove force expectations, keep with/ignore, current-tag fallback
- Integration: remove force-path test
- Unit: add scoped traversal test, adjust fixtures to avoid id collision
* fix(move): scope dependency traversal to source tag; tag-aware ignore-dependencies filtering
- resolveDependencies: traverse only sourceTag tasks to avoid cross-tag contamination
- filter dependent IDs to those present in source tag, numeric only
- ignore-dependencies: drop deps pointing to tasks from sourceTag; keep targetTag deps
* test(mcp): ensure cross-tag move passes only with/ignore options and returns conflict suggestions
- new test: tests/unit/mcp/tools/move-task-cross-tag-options.test.js
* feat(move): add advisory tips when ignoring cross-tag dependencies; add integration test case
* feat(cli/move): improve ID collision UX for cross-tag moves\n\n- Print Next Steps tips when core returns them (e.g., after ignore-dependencies)\n- Add dedicated help block when an ID already exists in target tag
* feat(move/mcp): improve ID collision UX and suggestions\n\n- Core: include suggestions on TASK_ALREADY_EXISTS errors\n- MCP: map ID collision to TASK_ALREADY_EXISTS with suggestions\n- Tests: add MCP unit test for ID collision suggestions
* test(move/cli): print tips on ignore-dependencies results; print ID collision suggestions\n\n- CLI integration test: assert Next Steps tips printed when result.tips present\n- Integration test: assert TASK_ALREADY_EXISTS error includes suggestions payload
* chore(changeset): add changeset for cross-tag move UX improvements (CLI/MCP/core/tests)
* Add cross-tag task movement help and validation improvements
- Introduced a detailed help command for cross-tag task movement, enhancing user guidance on usage and options.
- Updated validation logic in `validateCrossTagMove` to include checks for indirect dependencies, improving accuracy in conflict detection.
- Refactored tests to ensure comprehensive coverage of new validation scenarios and error handling.
- Cleaned up documentation to reflect the latest changes in task movement functionality.
* refactor(commands): remove redundant tips printing after move operation
- Eliminated duplicate printing of tips for next steps after the move operation, streamlining the output for users.
- This change enhances clarity by ensuring tips are only displayed when relevant, improving overall user experience.
* docs(move): clarify "force move" options and improve examples
- Updated documentation to replace the deprecated "force move" concept with clear alternatives: `--with-dependencies` and `--ignore-dependencies`.
- Enhanced Scenario 3 with explicit options and improved inline comments for better readability.
- Removed confusing commented code in favor of a straightforward note in the Force Move section.
* chore: run formatter
* Update .changeset/clarify-force-move-docs.md
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* Update docs/cross-tag-task-movement.md
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* Update tests/unit/scripts/modules/task-manager/move-task-cross-tag.test.js
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* test(move): add test for dependency traversal scoping with --with-dependencies option
- Introduced a new test to ensure that the dependency traversal is limited to tasks from the source tag when using the --with-dependencies option, addressing potential ID collisions across tags.
* test(move): enhance tips validation in cross-tag task movement integration test
---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* feat: add support for claude code context
- code context for:
- add-task
- update-subtask
- update-task
- update
* feat: fix CI and format + refactor
* chore: format
* chore: fix broken tests
* chore: fix test
* fix: handle missing @anthropic-ai/claude-code SDK gracefully
Add defensive checks to prevent "Right-hand side of 'instanceof' is not an object" errors when the optional Claude Code SDK is not installed.
Changes:
- Check if AbortError exists before using instanceof
- Check if query function exists before calling it
- Provide clear error messages when SDK is missing
This fixes the issue reported by users in v0.24.0 and v0.25.0 where Task Master would crash with instanceof errors when using the claude-code provider without the SDK installed.
* chore: bump @anthropic-ai/claude-code to ^1.0.88 and regenerate lockfile
* chore: add a bunch of automations
* chore: run format
* Update .github/scripts/auto-close-duplicates.mjs
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* chore: run format
---------
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
This commit introduces a new GitHub Actions workflow that automatically updates documentation based on changes pushed to the 'next' branch. The workflow checks for modified files, creates a new branch for documentation updates, and utilizes the Claude Code Action to analyze changes and suggest necessary documentation revisions. If updates are made, a pull request is created for review.
* initial cutover
* update log to debug
* update tracker to pass units
* update test to match new base tracker format
* add streamTextService mocks
* remove unused imports
* Ensure the CLI waits for async main() completion
* refactor to reduce code duplication
* update comment
* reuse function
* ensure targetTag is defined in streaming mode
* avoid throwing inside process.exit spy
* check for null
* remove reference to generate
* fix formatting
* fix textStream assignment
* ensure no division by 0
* fix jest chalk mocks
* refactor for maintainability
* Improve bar chart calculation logic for consistent visual representation
* use custom streaming error types; fix mocks
* Update streamText extraction in parse-prd.js to match actual service response
* remove check - doesn't belong here
* update mocks
* remove streaming test that wasn't really doing anything
* add comment
* make parsing logic more DRY
* fix formatting
* Fix textStream extraction to match actual service response
* fix mock
* Add a cleanup method to ensure proper resource disposal and prevent memory leaks
* debounce progress updates to reduce UI flicker during rapid updates
* Implement timeout protection for streaming operations (60-second timeout) with automatic fallback to non-streaming mode.
* clear timeout properly
* Add a maximum buffer size limit (1MB) to prevent unbounded memory growth with very large streaming responses.
* fix formatting
* remove duplicate mock
* better docs
* fix formatting
* sanitize the dynamic property name
* Fix incorrect remaining progress calculation
* Use onError callback instead of console.warn
* Remove unused chalk import
* Add missing custom validator in fallback parsing configuration
* add custom validator parameter in fallback parsing
* chore: fix package-lock.json
* chore: large code refactor
* chore: increase timeout from 1 minute to 3 minutes
* fix: refactor and fix streaming
* Merge remote-tracking branch 'origin/next' into joedanz/parse-prd-progress
* fix: cleanup and fix unit tests
* chore: fix unit tests
* chore: fix format
* chore: run format
* chore: fix weird CI unit test error
* chore: fix format
---------
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* feat: Add Kilo Code integration to TaskMaster
* feat: Add Kilo profile configuration to rule transformer tests
* refactor: Improve code formatting and consistency in Kilo profile and tests
* fix: Correct formatting of workspaces in package.json
* chore: add changeset for Kilo Code integration
* feat: add Kilo Code rules and mode configurations
- Add comprehensive rule sets for all modes (architect, ask, code, debug, orchestrator, test)
- Update .kilocodemodes configuration with mode-specific settings
- Configure MCP integration for Kilo Code profile
- Establish consistent rule structure across all modes
* refactor(kilo): simplify profile to reuse roo rules with replacements
Remove duplicate Kilo-specific rule files and assets in favor of reusing roo rules with dynamic replacements, eliminating 900+ lines of duplicated code while maintaining full Kilo functionality.
The profile now:
- Reuses ROO_MODES constant instead of maintaining separate KILO_MODES
- Applies text replacements to convert roo references to kilo
- Maps roo rule files to kilo equivalents via fileMap
- Removes all duplicate rule files from assets/kilocode directory
* refactor(kilo): restructure object literals for consistency and remove duplicate customReplacements array based on CodeRabbit's suggestion
* chore: remove disabled .mcp.json by mistake
---------
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* feat: enhance move command with cross-tag functionality
- Updated the `move` command to allow moving tasks between different tags, including options for handling dependencies.
- Added new options: `--from-tag`, `--to-tag`, `--with-dependencies`, `--ignore-dependencies`, and `--force`.
- Implemented validation for cross-tag moves and dependency checks.
- Introduced helper functions in the dependency manager for validating and resolving cross-tag dependencies.
- Added integration and unit tests to cover new functionality and edge cases.
* fix: refactor cross-tag move logic and enhance validation
- Moved the import of `moveTasksBetweenTags` to the correct location in `commands.js` for better clarity.
- Added new helper functions in `dependency-manager.js` to improve validation and error handling for cross-tag moves.
- Enhanced existing functions to ensure proper handling of task dependencies and conflicts.
- Updated tests to cover new validation scenarios and ensure robust error messaging for invalid task IDs and tags.
* fix: improve task ID handling and error messaging in cross-tag moves
- Refactored `moveTasksBetweenTags` to normalize task IDs for comparison, ensuring consistent handling of string and numeric IDs.
- Enhanced error messages for cases where source and target tags are the same but no destination is specified.
- Updated tests to validate new behavior, including handling string dependencies correctly during cross-tag moves.
- Cleaned up existing code for better readability and maintainability.
* test: add comprehensive tests for cross-tag move and dependency validation
- Introduced new test files for `move-cross-tag` and `cross-tag-dependencies` to cover various scenarios in cross-tag task movement.
- Implemented tests for handling task movement with and without dependencies, including edge cases for error handling.
- Enhanced existing tests in `fix-dependencies-command` and `move-task` to ensure robust validation of task IDs and dependencies.
- Mocked necessary modules and functions to isolate tests and improve reliability.
- Ensured coverage for both successful and failed cross-tag move operations, validating expected outcomes and error messages.
* test: refactor cross-tag move tests for better clarity and reusability
- Introduced a helper function `simulateCrossTagMove` to streamline cross-tag move test cases, reducing redundancy and improving readability.
- Updated existing tests to utilize the new helper function, ensuring consistent handling of expected messages and options.
- Enhanced test coverage for various scenarios, including handling of dependencies and flags.
* feat: add cross-tag task movement functionality
- Introduced new commands for moving tasks between different tags, enhancing project organization capabilities.
- Updated README with usage examples for cross-tag movement, including options for handling dependencies.
- Created comprehensive documentation for cross-tag task movement, detailing usage, error handling, and best practices.
- Implemented core logic for cross-tag moves, including validation for dependencies and error handling.
- Added integration and unit tests to ensure robust functionality and coverage for various scenarios, including edge cases.
* fix: enhance error handling and logging in cross-tag task movement
- Improved logging in `moveTaskCrossTagDirect` to include detailed arguments for better traceability.
- Refactored error handling to utilize structured error objects, providing clearer suggestions for resolving cross-tag dependency conflicts and subtask movement restrictions.
- Updated documentation to reflect changes in error handling and provide clearer guidance on task movement options.
- Added integration tests for cross-tag movement scenarios, ensuring robust validation of error handling and task movement logic.
- Cleaned up existing tests for clarity and reusability, enhancing overall test coverage.
* feat: enhance dependency resolution and error handling in task movement
- Added recursive dependency resolution for tasks in `moveTasksBetweenTags`, improving handling of complex task relationships.
- Introduced helper functions to find all dependencies and reverse dependencies, ensuring comprehensive coverage during task moves.
- Enhanced error messages in `validateSubtaskMove` and `displaySubtaskMoveError` for better clarity on movement restrictions.
- Updated tests to cover new functionality, including integration tests for complex cross-tag movement scenarios and edge cases.
- Refactored existing code for improved readability and maintainability, ensuring consistent handling of task IDs and dependencies.
* feat: unify dependency traversal and enhance task management utilities
- Introduced `traverseDependencies` utility for unified forward and reverse dependency traversal, improving code reusability and clarity.
- Refactored `findAllDependenciesRecursively` to leverage the new utility, streamlining dependency resolution in task management.
- Added `formatTaskIdForDisplay` helper for better task ID formatting in UI, enhancing user experience during error displays.
- Updated tests to cover new utility functions and ensure robust validation of dependency handling across various scenarios.
- Improved overall code organization and readability, ensuring consistent handling of task dependencies and IDs.
* fix: improve validation for dependency parameters in `findAllDependenciesRecursively`
- Added checks to ensure `sourceTasks` and `allTasks` are arrays, throwing errors if not, to prevent runtime issues.
- Updated documentation comment for clarity on the function's purpose and parameters.
* fix: remove `force` option from task movement parameters
- Eliminated the `force` parameter from the `moveTaskCrossTagDirect` function and related tools, simplifying the task movement logic.
- Updated documentation and tests to reflect the removal of the `force` option, ensuring clarity and consistency across the codebase.
- Adjusted related functions and tests to focus on `ignoreDependencies` as the primary control for handling dependency conflicts during task moves.
* Add cross-tag task movement functionality
- Introduced functionality for organizing tasks across different contexts by enabling cross-tag movement.
- Added `formatTaskIdForDisplay` helper to improve task ID formatting in UI error messages.
- Updated relevant tests to incorporate new functionality and ensure accurate error displays during task movements.
* Update scripts/modules/dependency-manager.js
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* refactor(dependency-manager): Fix subtask resolution and extract helper functions
1. Fix subtask finding logic (lines 1315-1330):
- Correctly locate parent task by numeric ID
- Search within parent's subtasks array instead of top-level tasks
- Properly handle relative subtask references
2. Extract helper functions from getDependentTaskIds (lines 1440-1636):
- Move findTasksThatDependOn as module-level function
- Move taskDependsOnSource as module-level function
- Move subtasksDependOnSource as module-level function
- Improves readability, maintainability, and testability
Both fixes address architectural issues and improve code organization.
* refactor(dependency-manager): Enhance subtask resolution and dependency validation
- Improved subtask resolution logic to correctly find parent tasks and their subtasks, ensuring accurate identification of dependencies.
- Filtered out null/undefined dependencies before processing, enhancing robustness in dependency checks.
- Updated comments for clarity on the logic flow and purpose of changes, improving code maintainability.
* refactor(move-task): clarify destination ID description and improve skipped task handling
- Updated the description for the destination ID to clarify its usage in cross-tag moves.
- Simplified the handling of skipped tasks during multiple task movements, improving readability and logging.
- Enhanced the API result response to include detailed information about moved and skipped tasks, ensuring better feedback for users.
* refactor(commands): remove redundant tag validation logic
- Eliminated the check for identical source and target tags in the task movement logic, simplifying the code.
- This change streamlines the flow for within-tag moves, enhancing readability and maintainability.
* refactor(commands): enhance move command logic and error handling
- Introduced helper functions for better organization of cross-tag and within-tag move logic, improving code readability and maintainability.
- Enhanced error handling with structured error objects, providing clearer feedback for dependency conflicts and invalid tag combinations.
- Updated move command help output to include best practices and error resolution tips, ensuring users have comprehensive guidance during task movements.
- Streamlined task movement logic to handle multiple tasks more effectively, including detailed logging of successful and failed moves.
* test(dependency-manager): add subtasks to task structure and mock dependency traversal
- Updated `circular-dependencies.test.js` to include subtasks in task definitions, enhancing test coverage for task structures with nested dependencies.
- Mocked `traverseDependencies` in `fix-dependencies-command.test.js` to ensure consistent behavior during tests, improving reliability of dependency-related tests.
* refactor(dependency-manager): extract subtask finding logic into helper function
- Added `findSubtaskInParent` function to encapsulate subtask resolution within a parent task's subtasks array, improving code organization and readability.
- Updated `findDependencyTask` to utilize the new helper function, streamlining the logic for finding subtasks and enhancing maintainability.
- Enhanced comments for clarity on the purpose and functionality of the new subtask finding logic.
* refactor(ui): enhance subtask ID validation and improve error handling
- Added validation for subtask ID format in `formatDependenciesWithStatus` and `taskExists`, ensuring proper handling of invalid formats.
- Updated error logging in `displaySubtaskMoveError` to provide warnings for unexpected task ID formats, improving user feedback.
- Converted hints to a Set in `displayDependencyValidationHints` to ensure unique hints are displayed, enhancing clarity in the UI.
* test(cli): remove redundant timing check in complex cross-tag scenarios
- Eliminated the timing check for task completion within 5 seconds in `complex-cross-tag-scenarios.test.js`, streamlining the test logic.
- This change focuses on verifying task success without unnecessary timing constraints, enhancing test clarity and maintainability.
* test(integration): enhance task movement tests with mock file system
- Added integration tests for moving tasks within the same tag and between different tags using the actual `moveTask` and `moveTasksBetweenTags` functions.
- Implemented `mock-fs` to simulate file system interactions, improving test isolation and reliability.
- Verified task movement success and ensured proper handling of subtasks and dependencies, enhancing overall test coverage for task management functionality.
- Included error handling tests for missing tags and task IDs to ensure robustness in task movement operations.
* test(unit): add comprehensive tests for moveTaskCrossTagDirect functionality
- Introduced new test cases to verify mock functionality, ensuring that mocks for `findTasksPath` and `readJSON` are working as expected.
- Added tests for parameter validation, error handling, and function call flow, including scenarios for missing project roots and identical source/target tags.
- Enhanced coverage for ID parsing and move options, ensuring robust handling of various input conditions and improving overall test reliability.
* test(integration): skip tests for dependency conflict handling and withDependencies option
- Marked tests for handling dependency conflicts and the withDependencies option as skipped due to issues with the mock setup.
- Added TODOs to address the mock-fs setup for complex dependency scenarios, ensuring future improvements in test reliability.
* test(unit): expand cross-tag move command tests with comprehensive mocks
- Added extensive mocks for various modules to enhance the testing of the cross-tag move functionality in `move-cross-tag.test.js`.
- Implemented detailed test cases for handling cross-tag moves, including validation for missing parameters and identical source/target tags.
- Improved error handling tests to ensure robust feedback for invalid operations, enhancing overall test reliability and coverage.
* test(integration): add complex dependency scenarios to task movement tests
- Introduced new integration tests for handling complex dependency scenarios in task movement, utilizing the actual `moveTasksBetweenTags` function.
- Added tests for circular dependencies, nested dependency chains, and cross-tag dependency resolution, enhancing coverage and reliability.
- Documented limitations of the mock-fs setup for complex scenarios and provided warnings in the test output to guide future improvements.
- Skipped tests for dependency conflicts and the withDependencies option due to mock setup issues, with TODOs for resolution.
* test(unit): refactor move-cross-tag tests with focused mock system
- Simplified mocking in `move-cross-tag.test.js` by implementing a configuration-driven mock system, reducing the number of mocked modules from 20+ to 5 core functionalities.
- Introduced a reusable mock factory to streamline the creation of mocks based on configuration, enhancing maintainability and clarity.
- Added documentation for the new mock system, detailing usage examples and benefits, including reduced complexity and improved test focus.
- Implemented tests to validate the mock configuration, ensuring flexibility in enabling/disabling specific mocks.
* test(unit): clean up mocks and improve isEmpty function in fix-dependencies-command tests
- Removed the mock for `traverseDependencies` as it was unnecessary, simplifying the test setup.
- Updated the `isEmpty` function to clarify its behavior regarding null and undefined values, enhancing code readability and maintainability.
* test(unit): update traverseDependencies mock for consistency across tests
- Standardized the mock implementation of `traverseDependencies` in both `fix-dependencies-command.test.js` and `complexity-report-tag-isolation.test.js` to accept `sourceTasks`, `allTasks`, and `options` parameters, ensuring uniformity in test setups.
- This change enhances clarity and maintainability of the tests by aligning the mock behavior across different test files.
* fix(core): improve task movement error handling and ID normalization
- Wrapped task movement logic in a try-finally block to ensure console output is restored even on errors, enhancing reliability.
- Normalized source IDs to handle mixed string/number comparisons, preventing potential issues in dependency checks.
- Added tests for ID type consistency to verify that the normalization fix works correctly across various scenarios, improving test coverage and robustness.
* refactor(task-manager): restructure task movement logic for improved validation and execution
- Renamed and refactored `moveTasksBetweenTags` to streamline the task movement process into distinct phases: validation, data preparation, dependency resolution, execution, and finalization.
- Introduced `validateMove`, `prepareTaskData`, `resolveDependencies`, `executeMoveOperation`, and `finalizeMove` functions to enhance modularity and clarity.
- Updated documentation comments to reflect changes in function responsibilities and parameters.
- Added comprehensive unit tests for the new structure, ensuring robust validation and error handling across various scenarios.
- Improved handling of dependencies and task existence checks during the move operation, enhancing overall reliability.
* fix(move-task): streamline task movement logic and improve error handling
- Refactored the task movement process to enhance clarity and maintainability by replacing `forEach` with a `for...of` loop for better async handling.
- Consolidated error handling and result logging to ensure consistent feedback during task moves.
- Updated the logic for generating files only on the last move, improving performance and reducing unnecessary operations.
- Enhanced validation for skipped tasks, ensuring accurate reporting of moved and skipped tasks in the final result.
* fix(docs): update error message formatting and enhance clarity in task movement documentation
- Changed code block syntax from generic to `text` for better readability in error messages related to task movement and dependency conflicts.
- Ensured consistent formatting across all error message examples to improve user understanding of task movement restrictions and resolutions.
- Added a newline at the end of the file for proper formatting.
* Update .changeset/crazy-meals-hope.md
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* chore: improve changeset
* chore: improve changeset
* fix referenced bug in docs and remove docs
* chore: fix format
---------
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
- Fixed bug where expand task generated generic authentication subtasks
- The complexity-report prompt variant now includes parent task details
- Added comprehensive unit tests to prevent regression
- Added debug logging to help diagnose similar issues
Previously, when using a complexity report with expansionPrompt, only the
expansion guidance was sent to the AI, missing the actual task context.
This caused the AI to generate unrelated generic subtasks.
Fixes the issue where all tasks would get the same generic auth-related
subtasks regardless of their actual purpose (AWS infrastructure, Docker
containerization, etc.)
Co-authored-by: Sadaqat Ali <32377500+sadaqat12@users.noreply.github.com>
* Version Packages
* chore: add eyal instead of crunchyman to eyal's feature
* chore: run format
---------
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* fix: fix mcp tool call in extension
- fix console.log directly being used in scope-adjutment.js breaking mcp
* chore: run format and fix tests
* chore: format
* feat(task-104): Complete task 104 - Implement scope-up and scope-down CLI Commands
- Added new CLI commands 'scope-up' and 'scope-down' with comma-separated ID support
- Implemented strength levels (light/regular/heavy) and custom prompt functionality
- Created core complexity adjustment logic with AI integration
- Added MCP tool equivalents for integrated environments
- Comprehensive error handling and task validation
- Full test coverage with TDD approach
- Updated task manager core and UI components
Task 104: Implement 'scope-up' and 'scope-down' CLI Commands for Dynamic Task Complexity Adjustment - Complete implementation with CLI, MCP integration, and testing
* chore: Add changeset for scope-up and scope-down features
- Comprehensive user-facing description with usage examples
- Key features and benefits explanation
- CLI and MCP integration details
- Real-world use cases for agile workflows
* feat(extension): Add scope-up and scope-down to VS Code extension task details
- Added useScopeUpTask and useScopeDownTask hooks in useTaskQueries.ts
- Enhanced AIActionsSection with Task Complexity Adjustment section
- Added strength selection (light/regular/heavy) and custom prompt support
- Integrated scope buttons with proper loading states and error handling
- Uses existing mcpRequest handler for scope_up_task and scope_down_task tools
- Maintains consistent UI patterns with existing AI actions
Extension now supports dynamic task complexity adjustment directly from task details view.
* fix: normalize task IDs to numbers on load to fix comparison issues
When tasks.json contains string IDs (e.g., "5" instead of 5), task lookups
fail because the code uses parseInt() and strict equality (===) for comparisons.
This fix normalizes all task and subtask IDs to numbers when loading the JSON,
ensuring consistent comparisons throughout the codebase without requiring
changes to multiple comparison locations.
Fixes task not found errors when using string IDs in tasks.json.
* Added test
* Don't mess up formatting
* Fix formatting once and for all
* Update scripts/modules/utils.js
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* Update scripts/modules/utils.js
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* Update scripts/modules/utils.js
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* fix: normalize task IDs to numbers on load to fix comparison issues
- Added normalizeTaskIds function to convert string IDs to numbers
- Applied normalization in readJSON for all code paths
- Fixed set-task-status, add-task, and move-task to normalize IDs when working with raw data
- Exported normalizeTaskIds function for use in other modules
- Added test case for string ID normalization
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Simplified implementation
* refactor: normalize IDs once when loading JSON instead of scattered calls
- Normalize all tags' data when creating _rawTaggedData in readJSON
- Add support for handling malformed dotted subtask IDs (e.g., "5.1" -> 1)
- Remove redundant normalizeTaskIds calls from set-task-status, add-task, and move-task
- Add comprehensive test for mixed ID formats (string IDs and dotted notation)
- Cleaner, more maintainable solution that normalizes IDs at load time
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: run format to resolve CI issues
---------
Co-authored-by: Carl Mercier <carl@carlmercier.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>
Removes the default empty array value from the complexity report option to properly detect when tags are explicitly provided vs when no tags are provided, fixing the expand --all command behavior with tagged tasks.
Co-authored-by: Ben Vargas <ben@example.com>
* Version Packages
* chore: fix release 0.22
todo: fix CI
* chore: run format
---------
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* chore: improve pre-release CI to be able to release more than one release candidate
* chore: implement requested changes from coderabbit
* chore: apply requested changes
* feat: Add Kiro hooks and configuration for Taskmaster integration
- Introduced multiple Kiro hooks to automate task management workflows, including:
- Code Change Task Tracker
- Complexity Analyzer
- Daily Standup Assistant
- Git Commit Task Linker
- Import Cleanup on Delete
- New File Boilerplate
- PR Readiness Checker
- Task Dependency Auto-Progression
- Test Success Task Completer
- Added .mcp.json configuration for Taskmaster AI integration.
- Updated development workflow documentation to reflect new hook-driven processes and best practices.
This commit enhances the automation capabilities of Taskmaster, streamlining task management and improving developer efficiency.
* chore: run format
* chore: improve unit tests on kiro rules
* chore: run format
* chore: run format
* feat: improve PR and add changeset
* fix: bump ai-sdk-provider-gemini-cli to v0.1.1
Updates ai-sdk-provider-gemini-cli from v0.0.4 to v0.1.1 to fix a breaking change
introduced in @google/gemini-cli-core v0.1.12+ where createContentGeneratorConfig
signature changed, causing "config.getModel is not a function" errors.
The new version includes:
- Fixed compatibility with @google/gemini-cli-core ^0.1.13
- Added proxy support via configuration
- Resolved the breaking API change
Fixes compatibility issues when using newer versions of gemini-cli-core.
See: https://github.com/ben-vargas/ai-sdk-provider-gemini-cli/releases/tag/v0.1.1
* chore: fix package-lock.json being too big
---------
Co-authored-by: Ben Vargas <ben@example.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* fix(profiles): fix vscode profile generation
- Add .instructions.md extension for VSCode Copilot instructions file.
- Add customReplacement to remove unsupported property `alwaysApply` from YAML front-matter in VSCode instructions files.
- Add missing property `targetExtension` to the base profile object to
support the change to file extension.
* chore: run format
---------
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* Don't generate task files unless requested
* add changeset
* switch to optional generate flag instead of skip-generate based on new default
* switch generate default to false and update flags and docs
* revert DO/DON'T section
* use simpler non ANSI-C quoting
* fix: prevent CLAUDE.md overwrite by using imports (#949)
* fix: prevent CLAUDE.md overwrite by using imports
- Copy Task Master instructions to .taskmaster/CLAUDE.md
- Add import section to user's CLAUDE.md instead of overwriting
- Preserve existing user content
- Clean removal of Task Master content on uninstall
Closes#929
* chore: add changeset for Claude import fix
* fix: task master (tm) custom slash commands w/ proper syntax (#968)
* feat: add task master (tm) custom slash commands
Add comprehensive task management system integration via custom slash commands.
Includes commands for:
- Project initialization and setup
- Task parsing from PRD documents
- Task creation, update, and removal
- Subtask management
- Dependency tracking and validation
- Complexity analysis and task expansion
- Project status and reporting
- Workflow automation
This provides a complete task management workflow directly within Claude Code.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: add changeset
---------
Co-authored-by: neno-is-ooo <204701868+neno-is-ooo@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>
* chore: create extension scaffolding (#989)
* chore: create extension scaffolding
* chore: fix workspace for changeset
* chore: fix package-lock
* feat(profiles): Add MCP configuration to Claude Code rules (#980)
* add .mcp.json with claude profile
* add changeset
* update changeset
* update test
* fix: show command no longer requires complexity report to exist (#979)
Co-authored-by: Ben Vargas <ben@example.com>
* feat: complete Groq provider integration and add Kimi K2 model (#978)
* feat: complete Groq provider integration and add Kimi K2 model
- Add missing getRequiredApiKeyName() method to GroqProvider class
- Register GroqProvider in ai-services-unified.js PROVIDERS object
- Add Groq API key handling to config-manager.js (isApiKeySet and getMcpApiKeyStatus)
- Add GROQ_API_KEY to env.example with format hint
- Add moonshotai/kimi-k2-instruct model to Groq provider ($1/$3 per 1M tokens, 16k max)
- Fix import sorting for linting compliance
- Add GroqProvider mock to ai-services-unified tests
Fixes missing implementation pieces that prevented Groq provider from working.
* chore: improve changeset
---------
Co-authored-by: Ben Vargas <ben@example.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* docs: Auto-update and format models.md
* feat: Add Amp rule profile with AGENT.md and MCP config (#973)
* Amp profile + tests
* generatlize to Agent instead of Claude Code to support any agent
* add changeset
* unnecessary tab formatting
* fix exports
* fix formatting
* feat: Add Zed editor rule profile with agent rules and MCP config (#974)
* zed profile
* add changeset
* update changeset
* fix: Add missing API keys to .env.example and README.md (#972)
* add OLLAMA_API_KEY
* add missing API keys
* add changeset
* update keys and fix OpenAI comment
* chore: create extension scaffolding (#989)
* chore: create extension scaffolding
* chore: fix workspace for changeset
* chore: fix package-lock
* feat(profiles): Add MCP configuration to Claude Code rules (#980)
* add .mcp.json with claude profile
* add changeset
* update changeset
* update test
* fix: show command no longer requires complexity report to exist (#979)
Co-authored-by: Ben Vargas <ben@example.com>
* feat: complete Groq provider integration and add Kimi K2 model (#978)
* feat: complete Groq provider integration and add Kimi K2 model
- Add missing getRequiredApiKeyName() method to GroqProvider class
- Register GroqProvider in ai-services-unified.js PROVIDERS object
- Add Groq API key handling to config-manager.js (isApiKeySet and getMcpApiKeyStatus)
- Add GROQ_API_KEY to env.example with format hint
- Add moonshotai/kimi-k2-instruct model to Groq provider ($1/$3 per 1M tokens, 16k max)
- Fix import sorting for linting compliance
- Add GroqProvider mock to ai-services-unified tests
Fixes missing implementation pieces that prevented Groq provider from working.
* chore: improve changeset
---------
Co-authored-by: Ben Vargas <ben@example.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* docs: Auto-update and format models.md
* feat: Add Amp rule profile with AGENT.md and MCP config (#973)
* Amp profile + tests
* generatlize to Agent instead of Claude Code to support any agent
* add changeset
* unnecessary tab formatting
* fix exports
* fix formatting
* feat: Add Zed editor rule profile with agent rules and MCP config (#974)
* zed profile
* add changeset
* update changeset
---------
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
Co-authored-by: Ben Vargas <ben@vargas.com>
Co-authored-by: Ben Vargas <ben@example.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
* feat: Add OpenCode rule profile with AGENTS.md and MCP config (#970)
* add opencode to profile lists
* add opencode profile / modify mcp config after add
* add changeset
* not necessary; main config being updated
* add issue link
* add/fix tests
* fix url and docsUrl
* update test for new urls
* fix formatting
* update/fix tests
* chore: add coderabbit configuration (#992)
* chore: add coderabbit configuration
* chore: fix coderabbit config
* chore: improve coderabbit config
* chore: more coderabbit reviews
* chore: remove all defaults
* docs: Update MCP server name for consistency and use 'Add to Cursor' button (#995)
* update MCP server name to task-master-ai for consistency
* add changeset
* update cursor link & switch to https
* switch back to Add to Cursor button (https link)
* update changeset
* update changeset
* update changeset
* update changeset
* use GitHub markdown format
* fix(ai-validation): comprehensive fixes for AI response validation issues (#1000)
* fix(ai-validation): comprehensive fixes for AI response validation issues
- Fix update command validation when AI omits subtasks/status/dependencies
- Fix add-task command when AI returns non-string details field
- Fix update-task command when AI subtasks miss required fields
- Add preprocessing to ensure proper field types before validation
- Prevent split() errors on non-string fields
- Set proper defaults for missing required fields
* chore: run format
* chore: implement coderabbit suggestions
* feat: add kiro profile (#1001)
* feat: add kiro profile
* chore: fix format
* chore: implement requested changes
* chore: fix CI
* refactor: remove unused resource and resource template initialization (#1002)
* refactor: remove unused resource and resource template initialization
* chore: implement requested changes
* fix(core): Implement Boundary-First Tag Resolution (#943)
* refactor(context): Standardize tag and projectRoot handling across all task tools
This commit unifies context management by adopting a boundary-first resolution strategy. All task-scoped tools now resolve `tag` and `projectRoot` at their entry point and forward these values to the underlying direct functions.
This approach centralizes context logic, ensuring consistent behavior and enhanced flexibility in multi-tag environments.
* fix(tag): Clean up tag handling in task functions and sync process
This commit refines the handling of the `tag` parameter across multiple functions, ensuring consistent context management. The `tag` is now passed more efficiently in `listTasksDirect`, `setTaskStatusDirect`, and `syncTasksToReadme`, improving clarity and reducing redundancy. Additionally, a TODO comment has been added in `sync-readme.js` to address future tag support enhancements.
* feat(tag): Implement Boundary-First Tag Resolution for consistent tag handling
This commit introduces Boundary-First Tag Resolution in the task manager, ensuring consistent and deterministic tag handling across CLI and MCP. This change resolves potential race conditions and improves the reliability of tag-specific operations.
Additionally, the `expandTask` function has been updated to use the resolved tag when writing JSON, enhancing data integrity during task updates.
* chore(biome): formatting
* fix(expand-task): Update writeJSON call to use tag instead of resolvedTag
* fix(commands): Enhance complexity report path resolution and task initialization
`resolveComplexityReportPath` function to streamline output path generation based on tag context and user-defined output.
- Improved clarity and maintainability of command handling by centralizing path resolution logic.
* Fix: unknown currentTag
* fix(task-manager): Update generateTaskFiles calls to include tag and projectRoot parameters
This commit modifies the `moveTask` and `updateSubtaskById` functions to pass the `tag` and `projectRoot` parameters to the `generateTaskFiles` function. This ensures that task files are generated with the correct context when requested, enhancing consistency in task management operations.
* fix(commands): Refactor tag handling and complexity report path resolution
This commit updates the `registerCommands` function to utilize `taskMaster.getCurrentTag()` for consistent tag retrieval across command actions. It also enhances the initialization of `TaskMaster` by passing the tag directly, improving clarity and maintainability. The complexity report path resolution is streamlined to ensure correct file naming based on the current tag context.
* fix(task-master): Update complexity report path expectations in tests
This commit modifies the `initTaskMaster` test to expect a valid string for the complexity report path, ensuring it matches the expected file naming convention. This change enhances test reliability by verifying the correct output format when the path is generated.
* fix(set-task-status): Enhance logging and tag resolution in task status updates
This commit improves the logging output in the `registerSetTaskStatusTool` function to include the tag context when setting task statuses. It also updates the tag handling by resolving the tag using the `resolveTag` utility, ensuring that the correct tag is used when updating task statuses. Additionally, the `setTaskStatus` function is modified to remove the tag parameter from the `readJSON` and `writeJSON` calls, streamlining the data handling process.
* fix(commands, expand-task, task-manager): Add complexity report option and enhance path handling
This commit introduces a new `--complexity-report` option in the `registerCommands` function, allowing users to specify a custom path for the complexity report. The `expandTask` function is updated to accept the `complexityReportPath` from the context, ensuring it is utilized correctly during task expansion. Additionally, the `setTaskStatus` function now includes the `tag` parameter in the `readJSON` and `writeJSON` calls, improving task status updates with proper context. The `initTaskMaster` function is also modified to create parent directories for output paths, enhancing file handling robustness.
* fix(expand-task): Add complexityReportPath to context for task expansion tests
This commit updates the test for the `expandTask` function by adding the `complexityReportPath` to the context object. This change ensures that the complexity report path is correctly utilized in the test, aligning with recent enhancements to complexity report handling in the task manager.
* chore: implement suggested changes
* fix(parse-prd): Clarify tag parameter description for task organization
Updated the documentation for the `tag` parameter in the `parse-prd.js` file to provide a clearer context on its purpose for organizing tasks into separate task lists.
* Fix Inconsistent tag resolution pattern.
* fix: Enhance complexity report path handling with tag support
This commit updates various functions to incorporate the `tag` parameter when resolving complexity report paths. The `expandTaskDirect`, `resolveComplexityReportPath`, and related tools now utilize the current tag context, improving consistency in task management. Additionally, the complexity report path is now correctly passed through the context in the `expand-task` and `set-task-status` tools, ensuring accurate report retrieval based on the active tag.
* Updated the JSDoc for the `tag` parameter in the `show-task.js` file.
* Remove redundant comment on tag parameter in readJSON call
* Remove unused import for getTagAwareFilePath
* Add missed complexityReportPath to args for task expansion
* fix(tests): Enhance research tests with tag-aware functionality
This commit updates the `research.test.js` file to improve the testing of the `performResearch` function by incorporating tag-aware functionality. Key changes include mocking the `findProjectRoot` to return a valid path, enhancing the `ContextGatherer` and `FuzzyTaskSearch` mocks, and adding comprehensive tests for tag parameter handling in various scenarios. The tests now cover passing different tag values, ensuring correct behavior when tags are provided, undefined, or null, and validating the integration of tags in task discovery and context gathering processes.
* Remove unused import for
* fix: Refactor complexity report path handling and improve argument destructuring
This commit enhances the `expandTaskDirect` function by improving the destructuring of arguments for better readability. It also updates the `analyze.js` and `analyze-task-complexity.js` files to utilize the new `resolveComplexityReportOutputPath` function, ensuring tag-aware resolution of output paths. Additionally, logging has been added to provide clarity on the report path being used.
* test: Add complexity report tag isolation tests and improve path handling
This commit introduces a new test file for complexity report tag isolation, ensuring that different tags maintain separate complexity reports. It enhances the existing tests in `analyze-task-complexity.test.js` by updating expectations to use `expect.stringContaining` for file paths, improving robustness against path changes. The new tests cover various scenarios, including path resolution and report generation for both master and feature tags, ensuring no cross-tag contamination occurs.
* Update scripts/modules/task-manager/list-tasks.js
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* Update scripts/modules/task-manager/list-tasks.js
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* test(complexity-report): Fix tag slugification in filename expectations
- Update mocks to use slugifyTagForFilePath for cross-platform compatibility
- Replace raw tag values with slugified versions in expected filenames
- Fix test expecting 'feature/user-auth-v2' to expect 'feature-user-auth-v2'
- Align test with actual filename generation logic that sanitizes special chars
---------
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* fix: Update VS Code profile with MCP config transformation (#971)
* remove dash in server name
* add OLLAMA_API_KEY to VS Code MCP instructions
* transform vscode mcp to correct format
* add changeset
* switch back to task-master-ai
* use task-master-ai
* Batch fixes before release (#1011)
* fix: improve projectRoot
* fix: improve task-master lang command
* feat: add documentation to the readme so more people can access it
* fix: expand command subtask dependency validation
* fix: update command more reliable with perplexity and other models
* chore: fix CI
* chore: implement requested changes
* chore: fix CI
* chore: fix changeset release for extension package (#1012)
* chore: fix changeset release for extension package
* chore: fix CI
* chore: rc version bump
* chore: adjust kimi k2 max tokens (#1014)
* docs: Auto-update and format models.md
---------
Co-authored-by: Ben Vargas <ben@vargas.com>
Co-authored-by: neno-is-ooo <204701868+neno-is-ooo@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Joe Danziger <joe@ticc.net>
Co-authored-by: Ben Vargas <ben@example.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Parthy <52548018+mm-parthy@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* fix: improve projectRoot
* fix: improve task-master lang command
* feat: add documentation to the readme so more people can access it
* fix: expand command subtask dependency validation
* fix: update command more reliable with perplexity and other models
* chore: fix CI
* chore: implement requested changes
* chore: fix CI
* remove dash in server name
* add OLLAMA_API_KEY to VS Code MCP instructions
* transform vscode mcp to correct format
* add changeset
* switch back to task-master-ai
* use task-master-ai
* refactor(context): Standardize tag and projectRoot handling across all task tools
This commit unifies context management by adopting a boundary-first resolution strategy. All task-scoped tools now resolve `tag` and `projectRoot` at their entry point and forward these values to the underlying direct functions.
This approach centralizes context logic, ensuring consistent behavior and enhanced flexibility in multi-tag environments.
* fix(tag): Clean up tag handling in task functions and sync process
This commit refines the handling of the `tag` parameter across multiple functions, ensuring consistent context management. The `tag` is now passed more efficiently in `listTasksDirect`, `setTaskStatusDirect`, and `syncTasksToReadme`, improving clarity and reducing redundancy. Additionally, a TODO comment has been added in `sync-readme.js` to address future tag support enhancements.
* feat(tag): Implement Boundary-First Tag Resolution for consistent tag handling
This commit introduces Boundary-First Tag Resolution in the task manager, ensuring consistent and deterministic tag handling across CLI and MCP. This change resolves potential race conditions and improves the reliability of tag-specific operations.
Additionally, the `expandTask` function has been updated to use the resolved tag when writing JSON, enhancing data integrity during task updates.
* chore(biome): formatting
* fix(expand-task): Update writeJSON call to use tag instead of resolvedTag
* fix(commands): Enhance complexity report path resolution and task initialization
`resolveComplexityReportPath` function to streamline output path generation based on tag context and user-defined output.
- Improved clarity and maintainability of command handling by centralizing path resolution logic.
* Fix: unknown currentTag
* fix(task-manager): Update generateTaskFiles calls to include tag and projectRoot parameters
This commit modifies the `moveTask` and `updateSubtaskById` functions to pass the `tag` and `projectRoot` parameters to the `generateTaskFiles` function. This ensures that task files are generated with the correct context when requested, enhancing consistency in task management operations.
* fix(commands): Refactor tag handling and complexity report path resolution
This commit updates the `registerCommands` function to utilize `taskMaster.getCurrentTag()` for consistent tag retrieval across command actions. It also enhances the initialization of `TaskMaster` by passing the tag directly, improving clarity and maintainability. The complexity report path resolution is streamlined to ensure correct file naming based on the current tag context.
* fix(task-master): Update complexity report path expectations in tests
This commit modifies the `initTaskMaster` test to expect a valid string for the complexity report path, ensuring it matches the expected file naming convention. This change enhances test reliability by verifying the correct output format when the path is generated.
* fix(set-task-status): Enhance logging and tag resolution in task status updates
This commit improves the logging output in the `registerSetTaskStatusTool` function to include the tag context when setting task statuses. It also updates the tag handling by resolving the tag using the `resolveTag` utility, ensuring that the correct tag is used when updating task statuses. Additionally, the `setTaskStatus` function is modified to remove the tag parameter from the `readJSON` and `writeJSON` calls, streamlining the data handling process.
* fix(commands, expand-task, task-manager): Add complexity report option and enhance path handling
This commit introduces a new `--complexity-report` option in the `registerCommands` function, allowing users to specify a custom path for the complexity report. The `expandTask` function is updated to accept the `complexityReportPath` from the context, ensuring it is utilized correctly during task expansion. Additionally, the `setTaskStatus` function now includes the `tag` parameter in the `readJSON` and `writeJSON` calls, improving task status updates with proper context. The `initTaskMaster` function is also modified to create parent directories for output paths, enhancing file handling robustness.
* fix(expand-task): Add complexityReportPath to context for task expansion tests
This commit updates the test for the `expandTask` function by adding the `complexityReportPath` to the context object. This change ensures that the complexity report path is correctly utilized in the test, aligning with recent enhancements to complexity report handling in the task manager.
* chore: implement suggested changes
* fix(parse-prd): Clarify tag parameter description for task organization
Updated the documentation for the `tag` parameter in the `parse-prd.js` file to provide a clearer context on its purpose for organizing tasks into separate task lists.
* Fix Inconsistent tag resolution pattern.
* fix: Enhance complexity report path handling with tag support
This commit updates various functions to incorporate the `tag` parameter when resolving complexity report paths. The `expandTaskDirect`, `resolveComplexityReportPath`, and related tools now utilize the current tag context, improving consistency in task management. Additionally, the complexity report path is now correctly passed through the context in the `expand-task` and `set-task-status` tools, ensuring accurate report retrieval based on the active tag.
* Updated the JSDoc for the `tag` parameter in the `show-task.js` file.
* Remove redundant comment on tag parameter in readJSON call
* Remove unused import for getTagAwareFilePath
* Add missed complexityReportPath to args for task expansion
* fix(tests): Enhance research tests with tag-aware functionality
This commit updates the `research.test.js` file to improve the testing of the `performResearch` function by incorporating tag-aware functionality. Key changes include mocking the `findProjectRoot` to return a valid path, enhancing the `ContextGatherer` and `FuzzyTaskSearch` mocks, and adding comprehensive tests for tag parameter handling in various scenarios. The tests now cover passing different tag values, ensuring correct behavior when tags are provided, undefined, or null, and validating the integration of tags in task discovery and context gathering processes.
* Remove unused import for
* fix: Refactor complexity report path handling and improve argument destructuring
This commit enhances the `expandTaskDirect` function by improving the destructuring of arguments for better readability. It also updates the `analyze.js` and `analyze-task-complexity.js` files to utilize the new `resolveComplexityReportOutputPath` function, ensuring tag-aware resolution of output paths. Additionally, logging has been added to provide clarity on the report path being used.
* test: Add complexity report tag isolation tests and improve path handling
This commit introduces a new test file for complexity report tag isolation, ensuring that different tags maintain separate complexity reports. It enhances the existing tests in `analyze-task-complexity.test.js` by updating expectations to use `expect.stringContaining` for file paths, improving robustness against path changes. The new tests cover various scenarios, including path resolution and report generation for both master and feature tags, ensuring no cross-tag contamination occurs.
* Update scripts/modules/task-manager/list-tasks.js
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* Update scripts/modules/task-manager/list-tasks.js
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* test(complexity-report): Fix tag slugification in filename expectations
- Update mocks to use slugifyTagForFilePath for cross-platform compatibility
- Replace raw tag values with slugified versions in expected filenames
- Fix test expecting 'feature/user-auth-v2' to expect 'feature-user-auth-v2'
- Align test with actual filename generation logic that sanitizes special chars
---------
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
* fix(ai-validation): comprehensive fixes for AI response validation issues
- Fix update command validation when AI omits subtasks/status/dependencies
- Fix add-task command when AI returns non-string details field
- Fix update-task command when AI subtasks miss required fields
- Add preprocessing to ensure proper field types before validation
- Prevent split() errors on non-string fields
- Set proper defaults for missing required fields
* chore: run format
* chore: implement coderabbit suggestions
* update MCP server name to task-master-ai for consistency
* add changeset
* update cursor link & switch to https
* switch back to Add to Cursor button (https link)
* update changeset
* update changeset
* update changeset
* update changeset
* use GitHub markdown format
* add opencode to profile lists
* add opencode profile / modify mcp config after add
* add changeset
* not necessary; main config being updated
* add issue link
* add/fix tests
* fix url and docsUrl
* update test for new urls
* fix formatting
* update/fix tests
* Amp profile + tests
* generatlize to Agent instead of Claude Code to support any agent
* add changeset
* unnecessary tab formatting
* fix exports
* fix formatting
* feat: complete Groq provider integration and add Kimi K2 model
- Add missing getRequiredApiKeyName() method to GroqProvider class
- Register GroqProvider in ai-services-unified.js PROVIDERS object
- Add Groq API key handling to config-manager.js (isApiKeySet and getMcpApiKeyStatus)
- Add GROQ_API_KEY to env.example with format hint
- Add moonshotai/kimi-k2-instruct model to Groq provider ($1/$3 per 1M tokens, 16k max)
- Fix import sorting for linting compliance
- Add GroqProvider mock to ai-services-unified tests
Fixes missing implementation pieces that prevented Groq provider from working.
* chore: improve changeset
---------
Co-authored-by: Ben Vargas <ben@example.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* fix: prevent CLAUDE.md overwrite by using imports
- Copy Task Master instructions to .taskmaster/CLAUDE.md
- Add import section to user's CLAUDE.md instead of overwriting
- Preserve existing user content
- Clean removal of Task Master content on uninstall
Closes#929
* chore: add changeset for Claude import fix
* fix: resolve path resolution issues in parse-prd and analyze-complexity commands
This commit fixes critical path resolution regressions where commands were requiring files they create to already exist.
## Changes Made:
### 1. parse-prd Command (Lines 808, 828-835, 919-921)
**Problem**: Command required tasks.json to exist before it could create it (catch-22)
**Root Cause**: Default value in option definition meant options.output was always set
**Fixes**:
- Removed default value from --output option definition (line 808)
- Modified initTaskMaster to only include tasksPath when explicitly specified
- Added null handling for output path with fallback to default location
### 2. analyze-complexity Command (Lines 1637-1640, 1673-1680, 1695-1696)
**Problem**: Command required complexity report file to exist before creating it
**Root Cause**: Default value in option definition meant options.output was always set
**Fixes**:
- Removed default value from --output option definition (lines 1637-1640)
- Modified initTaskMaster to only include complexityReportPath when explicitly specified
- Added null handling for report path with fallback to default location
## Technical Details:
The core issue was that Commander.js option definitions with default values always populate the options object, making conditional checks like `if (options.output)` always true. By removing default values from option definitions, we ensure paths are only included in initTaskMaster when users explicitly provide them.
This approach is cleaner than using boolean flags (true/false) for required/optional, as it eliminates the path entirely when not needed, letting initTaskMaster use its default behavior.
## Testing:
- parse-prd now works on fresh projects without existing tasks.json
- analyze-complexity creates report file without requiring it to exist
- Commands maintain backward compatibility when paths are explicitly provided
Fixes issues reported in PATH-FIXES.md and extends the solution to other affected commands.
* fix: update expand-task test to match context gathering fix
The test was expecting gatheredContext to be a string, but the actual
implementation returns an object with a context property. Updated the
ContextGatherer mock to return the correct format and added missing
FuzzyTaskSearch mock.
---------
Co-authored-by: Ben Vargas <ben@example.com>
- Replaced local `tasksPath` variable assignments with direct calls to `taskMaster.getTasksPath()` for consistency and clarity across multiple command functions.
- This change enhances maintainability by ensuring a single source of truth for task paths, reducing redundancy in path handling logic.
- Add grok-4 to supported models with $3/$15 per 1M token pricing
- Enable main, fallback, and research roles for grok-4
- Update models.md documentation to include grok-4 in all tables
* move claude rules and commands to assets/claude
* update claude profile to copy assets/claude to .claude
* fix formatting
* feat(profiles): Implement unified profile system
- Convert Claude and Codex profiles to use createProfile() factory
- Remove simple vs complex profile distinction in rule transformer
- Unify convertAllRulesToProfileRules() to handle all profiles consistently
- Fix mcpConfigPath construction in base-profile.js for null mcpConfigName
- Update terminology from 'simpleProfiles' to 'assetOnlyProfiles' throughout
- Ensure Claude .claude directory copying works in both CLI and MCP contexts
- All profiles now follow same execution flow with proper lifecycle functions
Changes:
- src/profiles/claude.js: Convert to createProfile() factory pattern
- src/profiles/codex.js: Convert to createProfile() factory pattern
- src/utils/rule-transformer.js: Unified profile handling logic
- src/utils/profiles.js: Remove simple profile categorization
- src/profiles/base-profile.js: Fix mcpConfigPath construction
- scripts/modules/commands.js: Update variable naming
- tests/: Update all tests for unified system and terminology
Fixes Claude profile asset copying issue in MCP context.
All tests passing (617 passed, 11 skipped).
* re-checkin claude files
* fix formatting
* chore: clean up test Claude rules files
* chore: add changeset for unified profile system
* add claude files back
* add changeset
* restore proper gitignore
* remove claude agents file from root
* remove incorrect doc
* simplify profiles and update tests
* update changeset
* update changeset
* remove profile specific code
* streamline profiles with defaults and update tests
* update changeset
* add newline at end of gitignore
* restore changes
* streamline profiles with defaults; update tests and add vscode test
* update rule profile tests
* update wording for clearer profile management
* refactor and clarify terminology
* use original projectRoot var name
* revert param desc
* use updated claude assets from neno
* add "YOUR_" before api key here
* streamline codex profile
* add gemini profile
* update gemini profile
* update tests
* relocate function
* update rules interactive setup Gemini desc
* remove duplicative code
* add comma
* feat: support MCP sampling
* support provider registry
* use standard config options for MCP provider
* update fastmcp to support passing params to requestSampling
* move key name definition to base provider
* moved check for required api key to provider class
* remove unused code
* more cleanup
* more cleanup
* refactor provider
* remove not needed files
* more cleanup
* more cleanup
* more cleanup
* update docs
* fix tests
* add tests
* format fix
* clean files
* merge fixes
* format fix
* feat: add support for MCP Sampling as AI provider
* initial mcp ai sdk
* fix references to old provider
* update models
* lint
* fix gemini-cli conflicts
* ran format
* Update src/provider-registry/index.js
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* fix circular dependency
Circular Dependency Issue ✅ FIXED
Root Cause: BaseAIProvider was importing from index.js, which includes commands.js and other modules that eventually import back to AI providers
Solution: Changed imports to use direct paths to avoid circular dependencies:
Updated base-provider.js to import log directly from utils.js
Updated gemini-cli.js to import log directly from utils.js
Result: Fixed 11 failing tests in mcp-provider.test.js
* fix gemini test
* fix(claude-code): recover from CLI JSON truncation bug (#913) (#920)
Gracefully handle SyntaxError thrown by @anthropic-ai/claude-code when the CLI truncates large JSON outputs (4–16 kB cut-offs).\n\nKey points:\n• Detect JSON parse error + existing buffered text in both doGenerate() and doStream() code paths.\n• Convert the failure into a recoverable 'truncated' finish state and push a provider-warning.\n• Allows Task Master to continue parsing long PRDs / expand-task operations instead of crashing.\n\nA patch changeset (.changeset/claude-code-json-truncation.md) is included for the next release.\n\nRef: eyaltoledano/claude-task-master#913
* docs: fix gemini-cli authentication documentation (#923)
Remove erroneous 'gemini auth login' command references and replace with correct 'gemini' command authentication flow. Update documentation to reflect proper OAuth setup process via the gemini CLI interactive interface.
* fix tests
* fix: update ai-sdk-provider-gemini-cli to 0.0.4 for improved authentication (#932)
- Fixed authentication compatibility issues with Google auth
- Added support for 'api-key' auth type alongside 'gemini-api-key'
- Resolved "Unsupported authType: undefined" runtime errors
- Updated @google/gemini-cli-core dependency to 0.1.9
- Improved documentation and removed invalid auth references
- Maintained backward compatibility while enhancing type validation
* call logging directly
Need to patch upstream fastmcp to allow easier access and bootstrap the TM mcp logger to use the fastmcp logger which today is only exposed in the tools handler
* fix tests
* removing logs until we figure out how to pass mcp logger
* format
* fix tests
* format
* clean up
* cleanup
* readme fix
---------
Co-authored-by: Oren Melamed <oren.m@gloat.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
Co-authored-by: Ben Vargas <ben@vargas.com>
* feat: implement centralized path management system with initTaskMaster
This commit introduces a comprehensive refactoring of the TaskMaster CLI's path handling system, consolidating all path resolution logic into a centralized initTaskMaster function and TaskMaster class. This architectural change eliminates circular dependencies and provides consistent path management across all CLI commands.
Key changes:
• **Created new TaskMaster class and initTaskMaster factory function** in src/task-master.js
- Centralized path resolution with boolean override logic (string = explicit path, true = required search, false/undefined = optional)
- Built-in error handling with automatic process.exit() for missing required paths
- Immutable path objects with getter methods for safe access
• **Replaced findProjectRoot() calls throughout CLI** in scripts/modules/commands.js
- Updated all 25+ CLI commands to use initTaskMaster() instead of scattered path handling
- Eliminated hundreds of lines of redundant path resolution and error handling code
- Consistent project root validation and path discovery across all commands
• **Added comprehensive test suite** in tests/unit/task-master.test.js
- 22 test cases covering project root detection, path resolution, override validation, and edge cases
- Tests use temporary directories with proper cleanup and mock process.exit/console.error
- Validates both successful scenarios and error conditions with proper exit codes
* bring Usage for Parse PRD back, and revamp initTaskMaster to throw errors not error/exit.
* fix(claude-code): recover from CLI JSON truncation bug (#913) (#920)
Gracefully handle SyntaxError thrown by @anthropic-ai/claude-code when the CLI truncates large JSON outputs (4–16 kB cut-offs).\n\nKey points:\n• Detect JSON parse error + existing buffered text in both doGenerate() and doStream() code paths.\n• Convert the failure into a recoverable 'truncated' finish state and push a provider-warning.\n• Allows Task Master to continue parsing long PRDs / expand-task operations instead of crashing.\n\nA patch changeset (.changeset/claude-code-json-truncation.md) is included for the next release.\n\nRef: eyaltoledano/claude-task-master#913
* docs: fix gemini-cli authentication documentation (#923)
Remove erroneous 'gemini auth login' command references and replace with correct 'gemini' command authentication flow. Update documentation to reflect proper OAuth setup process via the gemini CLI interactive interface.
* fix: .gitignore missing trailing newline during project initialization (#855)
* Support for Additional Anthropic Models on Bedrock (#870)
* Add additional Anthropic Models for Bedrock
* Update Models Docs from `scripts/modules/supported-models.json`
* feat(models): add additional Bedrock supported models
* docs: Auto-update and format models.md
* fix: Ensure projectRoot is a string (potential WSL fix) (#892)
* ensure projectRoot is a string
* add changeset
* Fix/spelling mistakes (#876)
* docs: Auto-update and format models.md
* fix: correct typos in documentation for parse-prd and taskmaster commands
- Updated the `parse-prd` documentation to fix the spelling of "multiple."
- Clarified the description of the `id` parameter in the `taskmaster` documentation to ensure proper syntax and readability.
---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
* Fix `rules` command to use reliable project root detection like other commands (#908)
* update/fix projectRoot call for consistency
* internal naming consistency
* add changeset
* fix: Subtask generation fails on gemini-2.5-pro (#852)
* fix: clarify details format in task expansion prompt
* chore: add changeset
* fix: use tag-specific complexity reports (#857)
* fix(expand-task): Use tag-specific complexity reports
- Add getTagAwareFilePath utility function to resolve tag-specific file paths
- Update expandTask to use tag-aware complexity report paths
- Fix issue where expand-task always used default complexity report
- Add comprehensive tests for getTagAwareFilePath utility
- Ensure proper handling of file extensions and directory structures
Fixes#850: Expanding tasks not using tag-specific complexity reports
The expandTask function now correctly uses complexity reports specific
to the current tag context (e.g., task-complexity-report_feature-branch.json)
instead of always using the default task-complexity-report.json file.
This enables proper task expansion behavior when working with multiple
tag contexts, ensuring complexity analysis is tag-specific and accurate.
* chore: Add changeset for tag-specific complexity reports fix
* test(expand-task): Add tests for tag-specific complexity report integration
- Introduced a new test suite for verifying the integration of tag-specific complexity reports in the expandTask function.
- Added a test case to ensure the correct complexity report is used when available for a specific tag.
- Mocked file system interactions to simulate the presence of tag-specific complexity reports.
This enhances the test coverage for task expansion behavior, ensuring it accurately reflects the complexity analysis based on the current tag context.
* refactor(task-manager): unify and simplify tag-aware file path logic and tests
- Reformatted imports and cleaned up comments in test files for readability
- Centralized mocks: moved getTagAwareFilePath & slugifyTagForFilePath
mocks to setup.js for consistency and maintainability
- Simplified utils/getTagAwareFilePath: replaced manual parsing with
path.parse() & path.format(); improved extension handling
- Enhanced test mocks for path.parse, path.format & reset path.join
in beforeEach to avoid interference
- All tests now pass consistently; no change in functionality
* fix: prevent tag corruption in bulk updates (#856)
* fix(task-manager): prevent tag corruption in bulk updates and add tag preservation test
- Fix writeJSON call in scripts/modules/task-manager/update-tasks.js (line 469) to include projectRoot and tag parameters.
- Ensure tagged task lists maintain data integrity during bulk updates, preventing task disappearance in tagged contexts.
- Update MCP tools to properly pass tag context through the call chain.
- Introduce a comprehensive test case to verify that all tags are preserved when updating tasks, covering both master and feature-branch scenarios.
Addresses an issue where bulk updates could corrupt tasks.json in tagged task list structures, reinforcing task management robustness.
* style(tests): format task data in update-tasks test
* fix: Critical writeJSON Context Fixes - Prevent Tag Corruption (#910)
* feat(tasks): Fix critical tag corruption bug in task management
- Fixed missing context parameters in writeJSON calls across add-task, remove-task, and add-subtask functions
- Added projectRoot and tag parameters to prevent data corruption in multi-tag environments
- Re-enabled generateTaskFiles calls to ensure markdown files are updated after operations
- Enhanced add_subtask MCP tool with tag parameter support
- Refactored addSubtaskDirect function to properly pass context to core logic
- Streamlined codebase by removing deprecated functionality
This resolves the critical bug where task operations in one tag context would corrupt or delete tasks from other tags in tasks.json.
* feat(task-manager): Enhance addSubtask with current tag support
- Added `getCurrentTag` utility to retrieve the current tag context for task operations.
- Updated `addSubtask` to use the current tag when reading and writing tasks, ensuring proper context handling.
- Refactored tests to accommodate changes in the `addSubtask` function, ensuring accurate mock implementations and expectations.
- Cleaned up test cases for better readability and maintainability.
This improves task management by preventing tag-related data corruption and enhances the overall functionality of the task manager.
* feat(remove-task): Add tag support for task removal and enhance error handling
- Introduced `tag` parameter in `removeTaskDirect` to specify context for task operations, improving multi-tag support.
- Updated logging to include tag context in messages for better traceability.
- Refactored task removal logic to streamline the process and improve error reporting.
- Added comprehensive unit tests to validate tag handling and ensure robust error management.
This enhancement prevents task data corruption across different tags and improves the overall reliability of the task management system.
* feat(add-task): Add projectRoot and tag parameters to addTask tests
- Updated `addTask` unit tests to include `projectRoot` and `tag` parameters for better context handling.
- Enhanced test cases to ensure accurate expectations and improve overall test coverage.
This change aligns with recent enhancements in task management, ensuring consistency across task operations.
* feat(set-task-status): Add tag parameter support and enhance task status handling
- Introduced `tag` parameter in `setTaskStatusDirect` and related functions to improve context management in multi-tag environments.
- Updated `writeJSON` calls to ensure task data integrity across different tags.
- Enhanced unit tests to validate tag preservation during task status updates, ensuring robust functionality.
This change aligns with recent improvements in task management, preventing data corruption and enhancing overall reliability.
* feat(tag-management): Enhance writeJSON calls to preserve tag context
- Updated `writeJSON` calls in `createTag`, `deleteTag`, `renameTag`, `copyTag`, and `enhanceTagsWithMetadata` to include `projectRoot` for better context management and to prevent tag corruption.
- Added comprehensive unit tests for tag management functions to ensure data integrity and proper tag handling during operations.
This change improves the reliability of tag management by ensuring that operations do not corrupt existing tags and maintains the overall structure of the task data.
* feat(expand-task): Update writeJSON to include projectRoot and tag context
- Modified `writeJSON` call in `expandTaskDirect` to pass `projectRoot` and `tag` parameters, ensuring proper context management when saving tasks.json.
- This change aligns with recent enhancements in task management, preventing potential data corruption and improving overall reliability.
* feat(fix-dependencies): Add projectRoot and tag parameters for enhanced context management
- Updated `fixDependenciesDirect` and `registerFixDependenciesTool` to include `projectRoot` and `tag` parameters, improving context handling during dependency fixes.
- Introduced a new unit test for `fixDependenciesCommand` to ensure proper preservation of projectRoot and tag data in JSON outputs.
This change enhances the reliability of dependency management by ensuring that context is maintained across operations, preventing potential data issues.
* fix(context): propagate projectRoot and tag through dependency, expansion, status-update and tag-management commands to prevent cross-tag data corruption
* test(fix-dependencies): Enhance unit tests for fixDependenciesCommand
- Refactored tests to use unstable mocks for utils, ui, and task-manager modules, improving isolation and reliability.
- Added checks for process.exit to ensure proper handling of invalid data scenarios.
- Updated test cases to verify writeJSON calls with projectRoot and tag parameters, ensuring accurate context preservation during dependency fixes.
This change strengthens the test suite for dependency management, ensuring robust functionality and preventing potential data issues.
* chore(plan): remove outdated fix plan for `writeJSON` context parameters
* feat: Add gemini-cli provider integration for Task Master (#897)
* feat: Add gemini-cli provider integration for Task Master
This commit adds comprehensive support for the Gemini CLI provider, enabling users
to leverage Google's Gemini models through OAuth authentication via the gemini CLI
tool. This integration provides a seamless experience for users who prefer using
their existing Google account authentication rather than managing API keys.
## Implementation Details
### Provider Class (`src/ai-providers/gemini-cli.js`)
- Created GeminiCliProvider extending BaseAIProvider
- Implements dual authentication support:
- Primary: OAuth authentication via `gemini auth login` (authType: 'oauth-personal')
- Secondary: API key authentication for compatibility (authType: 'api-key')
- Uses the npm package `ai-sdk-provider-gemini-cli` (v0.0.3) for SDK integration
- Properly handles authentication validation without console output
### Model Configuration (`scripts/modules/supported-models.json`)
- Added two Gemini models with accurate specifications:
- gemini-2.5-pro: 72% SWE score, 65,536 max output tokens
- gemini-2.5-flash: 71% SWE score, 65,536 max output tokens
- Both models support main, fallback, and research roles
- Configured with zero cost (free tier)
### System Integration
- Registered provider in PROVIDERS map (`scripts/modules/ai-services-unified.js`)
- Added to OPTIONAL_AUTH_PROVIDERS set for flexible authentication
- Added GEMINI_CLI constant to provider constants (`src/constants/providers.js`)
- Exported GeminiCliProvider from index (`src/ai-providers/index.js`)
### Command Line Support (`scripts/modules/commands.js`)
- Added --gemini-cli flag to models command for provider hint
- Integrated into model selection logic (setModel function)
- Updated error messages to include gemini-cli in provider list
- Removed unrelated azure/vertex changes to maintain PR focus
### Documentation (`docs/providers/gemini-cli.md`)
- Comprehensive provider documentation emphasizing OAuth-first approach
- Clear explanation of why users would choose gemini-cli over standard google provider
- Detailed installation, authentication, and configuration instructions
- Troubleshooting section with common issues and solutions
### Testing (`tests/unit/ai-providers/gemini-cli.test.js`)
- Complete test suite with 12 tests covering all functionality
- Tests for both OAuth and API key authentication paths
- Error handling and edge case coverage
- Updated mocks in ai-services-unified.test.js for integration testing
## Key Design Decisions
1. **OAuth-First Design**: The provider assumes users want to leverage their existing
`gemini auth login` credentials, making this the default authentication method.
2. **Authentication Type Mapping**: Discovered through testing that the SDK expects:
- 'oauth-personal' for OAuth/CLI authentication (not 'gemini-cli' or 'oauth')
- 'api-key' for API key authentication (not 'gemini-api-key')
3. **Silent Operation**: Removed console.log statements from validateAuth to match
the pattern used by other providers like claude-code.
4. **Limited Model Support**: Only gemini-2.5-pro and gemini-2.5-flash are available
through the CLI, as confirmed by the package author.
## Usage
```bash
# Install gemini CLI globally
npm install -g @google/gemini-cli
# Authenticate with Google account
gemini auth login
# Configure Task Master to use gemini-cli
task-master models --set-main gemini-2.5-pro --gemini-cli
# Use Task Master normally
task-master new "Create a REST API endpoint"
```
## Dependencies
- Added `ai-sdk-provider-gemini-cli@^0.0.3` to package.json
- This package wraps the Google Gemini CLI Core functionality for Vercel AI SDK
## Testing
All tests pass (613 total), including the new gemini-cli provider tests.
Code has been formatted with biome to maintain consistency.
This implementation provides a clean, well-tested integration that follows Task Master's
existing patterns while offering users a convenient way to use Gemini models with their
existing Google authentication.
* feat: implement lazy loading for gemini-cli provider
- Move ai-sdk-provider-gemini-cli to optionalDependencies
- Implement dynamic import with loadGeminiCliModule() function
- Make getClient() async to support lazy loading
- Update base-provider to handle async getClient() calls
- Update tests to handle async getClient() method
This allows the application to start without the gemini-cli package
installed, only loading it when actually needed.
* feat(gemini-cli): replace regex-based JSON extraction with jsonc-parser
- Add jsonc-parser dependency for robust JSON parsing
- Replace simple regex approach with progressive parsing strategy:
1. Direct parsing after cleanup
2. Smart boundary detection with single-pass analysis
3. Limited fallback for edge cases
- Optimize performance with early termination and strategic sampling
- Add comprehensive tests for variable declarations, trailing commas,
escaped quotes, nested objects, and performance edge cases
- Improve reliability for complex JSON structures that Gemini commonly produces
- Fix code formatting with biome
This addresses JSON parsing failures in generateObject operations while
maintaining backward compatibility and significantly improving performance
for large responses.
* fix: update package-lock.json and fix formatting for CI/CD
- Add jsonc-parser to package-lock.json for proper npm ci compatibility
- Fix biome formatting issues in gemini-cli provider and tests
- Ensure all CI/CD checks pass
* feat(gemini-cli): implement comprehensive JSON output reliability system
- Add automatic JSON request detection via content analysis patterns
- Implement task-specific prompt simplification for improved AI compliance
- Add strict JSON enforcement through enhanced system prompts
- Implement response interception with intelligent JSON extraction fallback
- Add comprehensive test coverage for all new JSON handling methods
- Move debug logging to appropriate level for clean user experience
This multi-layered approach addresses gemini-cli's conversational response
tendencies, ensuring reliable structured JSON output for task expansion
operations. Achieves 100% success rate in end-to-end testing while
maintaining full backward compatibility with existing functionality.
Technical implementation includes:
• JSON detection via user message content analysis
• Expand-task prompt simplification with cleaner instructions
• System prompt enhancement with strict JSON enforcement
• Response processing with jsonc-parser-based extraction
• Comprehensive unit test coverage for edge cases
• Debug-level logging to prevent user interface clutter
Resolves: gemini-cli JSON formatting inconsistencies
Tested: All 46 test suites pass, formatting verified
* chore: add changeset for gemini-cli provider implementation
Adds minor version bump for comprehensive gemini-cli provider with:
- Lazy loading and optional dependency management
- Advanced JSON parsing with jsonc-parser
- Multi-layer reliability system for structured output
- Complete test coverage and CI/CD compliance
* refactor: consolidate optional auth provider logic
- Add gemini-cli to existing providersWithoutApiKeys array in config-manager
- Export providersWithoutApiKeys for reuse across modules
- Remove duplicate OPTIONAL_AUTH_PROVIDERS Set from ai-services-unified
- Update ai-services-unified to import and use centralized array
- Fix Jest mock to include new providersWithoutApiKeys export
This eliminates code duplication and provides a single source of truth
for which providers support optional authentication, addressing PR
reviewer feedback about existing similar functionality in src/constants.
* docs: Auto-update and format models.md
* Feat: Added automatic determination of task number based on complexity (#884)
- Added 'defaultNumTasks: 10' to default config, now used in 'parse-prd'
- Adjusted 'parse-prd' and 'expand-task' to:
- Accept a 'numTasks' value of 0
- Updated tool and command descriptions
- Updated prompts to 'an appropriate number of' when value is 0
- Updated 'README-task-master.md' and 'command-reference.md' docs
- Added more tests for: 'parse-prd', 'expand-task' and 'config-manager'
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* feat: Support custom response language (#510)
* feat: Support custom response language
* fix: Add default values for response language in config-manager.js
* chore: Update configuration file and add default response language settings
* feat: Support MCP/CLI custom response language
* chore: Update test comments to English for consistency
* docs: Auto-update and format models.md
* chore: fix format
---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* Feat: Implemented advanced settings for Claude Code AI provider (#872)
* Feat: Implemented advanced settings for Claude Code AI provider
- Added new 'claudeCode' property to default config
- Added getters and validation functions to 'config-manager.js'
- Added new 'isEmpty' utility to 'utils.js'
- Added new constants file 'commands.js' for AI_COMMAND_NAMES
- Updated Claude Code AI provider to use new config functions
- Updated 'claude-code-usage.md' documentation
- Added 'config-manager.test.js' tests to cover new settings
* chore: run format
---------
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* fix: issues with release (#915)
Fix remove-task bug with mcp
Fix response-language using old config file .taskmaster
* fix(claude-code): recover from CLI JSON truncation bug (#913) (#920)
Gracefully handle SyntaxError thrown by @anthropic-ai/claude-code when the CLI truncates large JSON outputs (4–16 kB cut-offs).\n\nKey points:\n• Detect JSON parse error + existing buffered text in both doGenerate() and doStream() code paths.\n• Convert the failure into a recoverable 'truncated' finish state and push a provider-warning.\n• Allows Task Master to continue parsing long PRDs / expand-task operations instead of crashing.\n\nA patch changeset (.changeset/claude-code-json-truncation.md) is included for the next release.\n\nRef: eyaltoledano/claude-task-master#913
* docs: fix gemini-cli authentication documentation (#923)
Remove erroneous 'gemini auth login' command references and replace with correct 'gemini' command authentication flow. Update documentation to reflect proper OAuth setup process via the gemini CLI interactive interface.
* chore: run format
* fix: add initTaskMaster to new commands
Fixes CI and broken commands
* chore: format
---------
Co-authored-by: Chris Covington <chris.covington@hey.com>
Co-authored-by: Ben Vargas <ben@vargas.com>
Co-authored-by: Joe Danziger <joe@ticc.net>
Co-authored-by: Nicholas Spalding <nishedcob@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Ofer Shaal <oshaal@phase2technology.com>
Co-authored-by: Shandy Hermawan <hrm.shandy05@gmail.com>
Co-authored-by: Parthy <52548018+mm-parthy@users.noreply.github.com>
Co-authored-by: Geoff Hammond <geoff@geoffhammond.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
Co-authored-by: shenysun <40556411+shenysun@users.noreply.github.com>
* feat: Add GROQ API key support and integrate GROQ provider
* feat: Add support for Groq provider
- Added a new changeset documenting the addition of Groq provider support.
-Ran npm run format
* feat: Add support for Groq provider
- Added a new changeset documenting the addition of Groq provider support.
-Ran npm run format
Remove erroneous 'gemini auth login' command references and replace with correct 'gemini' command authentication flow. Update documentation to reflect proper OAuth setup process via the gemini CLI interactive interface.
Gracefully handle SyntaxError thrown by @anthropic-ai/claude-code when the CLI truncates large JSON outputs (4–16 kB cut-offs).\n\nKey points:\n• Detect JSON parse error + existing buffered text in both doGenerate() and doStream() code paths.\n• Convert the failure into a recoverable 'truncated' finish state and push a provider-warning.\n• Allows Task Master to continue parsing long PRDs / expand-task operations instead of crashing.\n\nA patch changeset (.changeset/claude-code-json-truncation.md) is included for the next release.\n\nRef: eyaltoledano/claude-task-master#913
* Feat: Implemented advanced settings for Claude Code AI provider
- Added new 'claudeCode' property to default config
- Added getters and validation functions to 'config-manager.js'
- Added new 'isEmpty' utility to 'utils.js'
- Added new constants file 'commands.js' for AI_COMMAND_NAMES
- Updated Claude Code AI provider to use new config functions
- Updated 'claude-code-usage.md' documentation
- Added 'config-manager.test.js' tests to cover new settings
* chore: run format
---------
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* feat: Support custom response language
* fix: Add default values for response language in config-manager.js
* chore: Update configuration file and add default response language settings
* feat: Support MCP/CLI custom response language
* chore: Update test comments to English for consistency
* docs: Auto-update and format models.md
* chore: fix format
---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
- Added 'defaultNumTasks: 10' to default config, now used in 'parse-prd'
- Adjusted 'parse-prd' and 'expand-task' to:
- Accept a 'numTasks' value of 0
- Updated tool and command descriptions
- Updated prompts to 'an appropriate number of' when value is 0
- Updated 'README-task-master.md' and 'command-reference.md' docs
- Added more tests for: 'parse-prd', 'expand-task' and 'config-manager'
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* feat: Add gemini-cli provider integration for Task Master
This commit adds comprehensive support for the Gemini CLI provider, enabling users
to leverage Google's Gemini models through OAuth authentication via the gemini CLI
tool. This integration provides a seamless experience for users who prefer using
their existing Google account authentication rather than managing API keys.
## Implementation Details
### Provider Class (`src/ai-providers/gemini-cli.js`)
- Created GeminiCliProvider extending BaseAIProvider
- Implements dual authentication support:
- Primary: OAuth authentication via `gemini auth login` (authType: 'oauth-personal')
- Secondary: API key authentication for compatibility (authType: 'api-key')
- Uses the npm package `ai-sdk-provider-gemini-cli` (v0.0.3) for SDK integration
- Properly handles authentication validation without console output
### Model Configuration (`scripts/modules/supported-models.json`)
- Added two Gemini models with accurate specifications:
- gemini-2.5-pro: 72% SWE score, 65,536 max output tokens
- gemini-2.5-flash: 71% SWE score, 65,536 max output tokens
- Both models support main, fallback, and research roles
- Configured with zero cost (free tier)
### System Integration
- Registered provider in PROVIDERS map (`scripts/modules/ai-services-unified.js`)
- Added to OPTIONAL_AUTH_PROVIDERS set for flexible authentication
- Added GEMINI_CLI constant to provider constants (`src/constants/providers.js`)
- Exported GeminiCliProvider from index (`src/ai-providers/index.js`)
### Command Line Support (`scripts/modules/commands.js`)
- Added --gemini-cli flag to models command for provider hint
- Integrated into model selection logic (setModel function)
- Updated error messages to include gemini-cli in provider list
- Removed unrelated azure/vertex changes to maintain PR focus
### Documentation (`docs/providers/gemini-cli.md`)
- Comprehensive provider documentation emphasizing OAuth-first approach
- Clear explanation of why users would choose gemini-cli over standard google provider
- Detailed installation, authentication, and configuration instructions
- Troubleshooting section with common issues and solutions
### Testing (`tests/unit/ai-providers/gemini-cli.test.js`)
- Complete test suite with 12 tests covering all functionality
- Tests for both OAuth and API key authentication paths
- Error handling and edge case coverage
- Updated mocks in ai-services-unified.test.js for integration testing
## Key Design Decisions
1. **OAuth-First Design**: The provider assumes users want to leverage their existing
`gemini auth login` credentials, making this the default authentication method.
2. **Authentication Type Mapping**: Discovered through testing that the SDK expects:
- 'oauth-personal' for OAuth/CLI authentication (not 'gemini-cli' or 'oauth')
- 'api-key' for API key authentication (not 'gemini-api-key')
3. **Silent Operation**: Removed console.log statements from validateAuth to match
the pattern used by other providers like claude-code.
4. **Limited Model Support**: Only gemini-2.5-pro and gemini-2.5-flash are available
through the CLI, as confirmed by the package author.
## Usage
```bash
# Install gemini CLI globally
npm install -g @google/gemini-cli
# Authenticate with Google account
gemini auth login
# Configure Task Master to use gemini-cli
task-master models --set-main gemini-2.5-pro --gemini-cli
# Use Task Master normally
task-master new "Create a REST API endpoint"
```
## Dependencies
- Added `ai-sdk-provider-gemini-cli@^0.0.3` to package.json
- This package wraps the Google Gemini CLI Core functionality for Vercel AI SDK
## Testing
All tests pass (613 total), including the new gemini-cli provider tests.
Code has been formatted with biome to maintain consistency.
This implementation provides a clean, well-tested integration that follows Task Master's
existing patterns while offering users a convenient way to use Gemini models with their
existing Google authentication.
* feat: implement lazy loading for gemini-cli provider
- Move ai-sdk-provider-gemini-cli to optionalDependencies
- Implement dynamic import with loadGeminiCliModule() function
- Make getClient() async to support lazy loading
- Update base-provider to handle async getClient() calls
- Update tests to handle async getClient() method
This allows the application to start without the gemini-cli package
installed, only loading it when actually needed.
* feat(gemini-cli): replace regex-based JSON extraction with jsonc-parser
- Add jsonc-parser dependency for robust JSON parsing
- Replace simple regex approach with progressive parsing strategy:
1. Direct parsing after cleanup
2. Smart boundary detection with single-pass analysis
3. Limited fallback for edge cases
- Optimize performance with early termination and strategic sampling
- Add comprehensive tests for variable declarations, trailing commas,
escaped quotes, nested objects, and performance edge cases
- Improve reliability for complex JSON structures that Gemini commonly produces
- Fix code formatting with biome
This addresses JSON parsing failures in generateObject operations while
maintaining backward compatibility and significantly improving performance
for large responses.
* fix: update package-lock.json and fix formatting for CI/CD
- Add jsonc-parser to package-lock.json for proper npm ci compatibility
- Fix biome formatting issues in gemini-cli provider and tests
- Ensure all CI/CD checks pass
* feat(gemini-cli): implement comprehensive JSON output reliability system
- Add automatic JSON request detection via content analysis patterns
- Implement task-specific prompt simplification for improved AI compliance
- Add strict JSON enforcement through enhanced system prompts
- Implement response interception with intelligent JSON extraction fallback
- Add comprehensive test coverage for all new JSON handling methods
- Move debug logging to appropriate level for clean user experience
This multi-layered approach addresses gemini-cli's conversational response
tendencies, ensuring reliable structured JSON output for task expansion
operations. Achieves 100% success rate in end-to-end testing while
maintaining full backward compatibility with existing functionality.
Technical implementation includes:
• JSON detection via user message content analysis
• Expand-task prompt simplification with cleaner instructions
• System prompt enhancement with strict JSON enforcement
• Response processing with jsonc-parser-based extraction
• Comprehensive unit test coverage for edge cases
• Debug-level logging to prevent user interface clutter
Resolves: gemini-cli JSON formatting inconsistencies
Tested: All 46 test suites pass, formatting verified
* chore: add changeset for gemini-cli provider implementation
Adds minor version bump for comprehensive gemini-cli provider with:
- Lazy loading and optional dependency management
- Advanced JSON parsing with jsonc-parser
- Multi-layer reliability system for structured output
- Complete test coverage and CI/CD compliance
* refactor: consolidate optional auth provider logic
- Add gemini-cli to existing providersWithoutApiKeys array in config-manager
- Export providersWithoutApiKeys for reuse across modules
- Remove duplicate OPTIONAL_AUTH_PROVIDERS Set from ai-services-unified
- Update ai-services-unified to import and use centralized array
- Fix Jest mock to include new providersWithoutApiKeys export
This eliminates code duplication and provides a single source of truth
for which providers support optional authentication, addressing PR
reviewer feedback about existing similar functionality in src/constants.
* feat(tasks): Fix critical tag corruption bug in task management
- Fixed missing context parameters in writeJSON calls across add-task, remove-task, and add-subtask functions
- Added projectRoot and tag parameters to prevent data corruption in multi-tag environments
- Re-enabled generateTaskFiles calls to ensure markdown files are updated after operations
- Enhanced add_subtask MCP tool with tag parameter support
- Refactored addSubtaskDirect function to properly pass context to core logic
- Streamlined codebase by removing deprecated functionality
This resolves the critical bug where task operations in one tag context would corrupt or delete tasks from other tags in tasks.json.
* feat(task-manager): Enhance addSubtask with current tag support
- Added `getCurrentTag` utility to retrieve the current tag context for task operations.
- Updated `addSubtask` to use the current tag when reading and writing tasks, ensuring proper context handling.
- Refactored tests to accommodate changes in the `addSubtask` function, ensuring accurate mock implementations and expectations.
- Cleaned up test cases for better readability and maintainability.
This improves task management by preventing tag-related data corruption and enhances the overall functionality of the task manager.
* feat(remove-task): Add tag support for task removal and enhance error handling
- Introduced `tag` parameter in `removeTaskDirect` to specify context for task operations, improving multi-tag support.
- Updated logging to include tag context in messages for better traceability.
- Refactored task removal logic to streamline the process and improve error reporting.
- Added comprehensive unit tests to validate tag handling and ensure robust error management.
This enhancement prevents task data corruption across different tags and improves the overall reliability of the task management system.
* feat(add-task): Add projectRoot and tag parameters to addTask tests
- Updated `addTask` unit tests to include `projectRoot` and `tag` parameters for better context handling.
- Enhanced test cases to ensure accurate expectations and improve overall test coverage.
This change aligns with recent enhancements in task management, ensuring consistency across task operations.
* feat(set-task-status): Add tag parameter support and enhance task status handling
- Introduced `tag` parameter in `setTaskStatusDirect` and related functions to improve context management in multi-tag environments.
- Updated `writeJSON` calls to ensure task data integrity across different tags.
- Enhanced unit tests to validate tag preservation during task status updates, ensuring robust functionality.
This change aligns with recent improvements in task management, preventing data corruption and enhancing overall reliability.
* feat(tag-management): Enhance writeJSON calls to preserve tag context
- Updated `writeJSON` calls in `createTag`, `deleteTag`, `renameTag`, `copyTag`, and `enhanceTagsWithMetadata` to include `projectRoot` for better context management and to prevent tag corruption.
- Added comprehensive unit tests for tag management functions to ensure data integrity and proper tag handling during operations.
This change improves the reliability of tag management by ensuring that operations do not corrupt existing tags and maintains the overall structure of the task data.
* feat(expand-task): Update writeJSON to include projectRoot and tag context
- Modified `writeJSON` call in `expandTaskDirect` to pass `projectRoot` and `tag` parameters, ensuring proper context management when saving tasks.json.
- This change aligns with recent enhancements in task management, preventing potential data corruption and improving overall reliability.
* feat(fix-dependencies): Add projectRoot and tag parameters for enhanced context management
- Updated `fixDependenciesDirect` and `registerFixDependenciesTool` to include `projectRoot` and `tag` parameters, improving context handling during dependency fixes.
- Introduced a new unit test for `fixDependenciesCommand` to ensure proper preservation of projectRoot and tag data in JSON outputs.
This change enhances the reliability of dependency management by ensuring that context is maintained across operations, preventing potential data issues.
* fix(context): propagate projectRoot and tag through dependency, expansion, status-update and tag-management commands to prevent cross-tag data corruption
* test(fix-dependencies): Enhance unit tests for fixDependenciesCommand
- Refactored tests to use unstable mocks for utils, ui, and task-manager modules, improving isolation and reliability.
- Added checks for process.exit to ensure proper handling of invalid data scenarios.
- Updated test cases to verify writeJSON calls with projectRoot and tag parameters, ensuring accurate context preservation during dependency fixes.
This change strengthens the test suite for dependency management, ensuring robust functionality and preventing potential data issues.
* chore(plan): remove outdated fix plan for `writeJSON` context parameters
* fix(task-manager): prevent tag corruption in bulk updates and add tag preservation test
- Fix writeJSON call in scripts/modules/task-manager/update-tasks.js (line 469) to include projectRoot and tag parameters.
- Ensure tagged task lists maintain data integrity during bulk updates, preventing task disappearance in tagged contexts.
- Update MCP tools to properly pass tag context through the call chain.
- Introduce a comprehensive test case to verify that all tags are preserved when updating tasks, covering both master and feature-branch scenarios.
Addresses an issue where bulk updates could corrupt tasks.json in tagged task list structures, reinforcing task management robustness.
* style(tests): format task data in update-tasks test
* fix(expand-task): Use tag-specific complexity reports
- Add getTagAwareFilePath utility function to resolve tag-specific file paths
- Update expandTask to use tag-aware complexity report paths
- Fix issue where expand-task always used default complexity report
- Add comprehensive tests for getTagAwareFilePath utility
- Ensure proper handling of file extensions and directory structures
Fixes#850: Expanding tasks not using tag-specific complexity reports
The expandTask function now correctly uses complexity reports specific
to the current tag context (e.g., task-complexity-report_feature-branch.json)
instead of always using the default task-complexity-report.json file.
This enables proper task expansion behavior when working with multiple
tag contexts, ensuring complexity analysis is tag-specific and accurate.
* chore: Add changeset for tag-specific complexity reports fix
* test(expand-task): Add tests for tag-specific complexity report integration
- Introduced a new test suite for verifying the integration of tag-specific complexity reports in the expandTask function.
- Added a test case to ensure the correct complexity report is used when available for a specific tag.
- Mocked file system interactions to simulate the presence of tag-specific complexity reports.
This enhances the test coverage for task expansion behavior, ensuring it accurately reflects the complexity analysis based on the current tag context.
* refactor(task-manager): unify and simplify tag-aware file path logic and tests
- Reformatted imports and cleaned up comments in test files for readability
- Centralized mocks: moved getTagAwareFilePath & slugifyTagForFilePath
mocks to setup.js for consistency and maintainability
- Simplified utils/getTagAwareFilePath: replaced manual parsing with
path.parse() & path.format(); improved extension handling
- Enhanced test mocks for path.parse, path.format & reset path.join
in beforeEach to avoid interference
- All tests now pass consistently; no change in functionality
* docs: Auto-update and format models.md
* fix: correct typos in documentation for parse-prd and taskmaster commands
- Updated the `parse-prd` documentation to fix the spelling of "multiple."
- Clarified the description of the `id` parameter in the `taskmaster` documentation to ensure proper syntax and readability.
---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
* 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>
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
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.
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.
* 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>
* 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>
* 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>
* 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>
* 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>
* Update SWE scores (#657)
* docs: Auto-update and format models.md
* feat: Flexible brand rules management (#460)
* chore(docs): update docs and rules related to model management.
* feat(ai): Add OpenRouter AI provider support
Integrates the OpenRouter AI provider using the Vercel AI SDK adapter (@openrouter/ai-sdk-provider). This allows users to configure and utilize models available through the OpenRouter platform.
- Added src/ai-providers/openrouter.js with standard Vercel AI SDK wrapper functions (generateText, streamText, generateObject).
- Updated ai-services-unified.js to include the OpenRouter provider in the PROVIDER_FUNCTIONS map and API key resolution logic.
- Verified config-manager.js handles OpenRouter API key checks correctly.
- Users can configure OpenRouter models via .taskmasterconfig using the task-master models command or MCP models tool. Requires OPENROUTER_API_KEY.
- Enhanced error handling in ai-services-unified.js to provide clearer messages when generateObjectService fails due to lack of underlying tool support in the selected model/provider endpoint.
* feat(cli): Add --status/-s filter flag to show command and get-task MCP tool
Implements the ability to filter subtasks displayed by the `task-master show <id>` command using the `--status` (or `-s`) flag. This is also available in the MCP context.
- Modified `commands.js` to add the `--status` option to the `show` command definition.
- Updated `utils.js` (`findTaskById`) to handle the filtering logic and return original subtask counts/arrays when filtering.
- Updated `ui.js` (`displayTaskById`) to use the filtered subtasks for the table, display a summary line when filtering, and use the original subtask list for the progress bar calculation.
- Updated MCP `get_task` tool and `showTaskDirect` function to accept and pass the `status` parameter.
- Added changeset entry.
* fix(tasks): Improve next task logic to be subtask-aware
* fix(tasks): Enable removing multiple tasks/subtasks via comma-separated IDs
- Refactors the core `removeTask` function (`task-manager/remove-task.js`) to accept and iterate over comma-separated task/subtask IDs.
- Updates dependency cleanup and file regeneration logic to run once after processing all specified IDs.
- Adjusts the `remove-task` CLI command (`commands.js`) description and confirmation prompt to handle multiple IDs correctly.
- Fixes a bug in the CLI confirmation prompt where task/subtask titles were not being displayed correctly.
- Updates the `remove_task` MCP tool description to reflect the new multi-ID capability.
This addresses the previously known issue where only the first ID in a comma-separated list was processed.
Closes#140
* Update README.md (#342)
* Update Discord badge (#337)
* refactor(init): Improve robustness and dependencies; Update template deps for AI SDKs; Silence npm install in MCP; Improve conditional model setup logic; Refactor init.js flags; Tweak Getting Started text; Fix MCP server launch command; Update default model in config template
* Refactor: Improve MCP logging, update E2E & tests
Refactors MCP server logging and updates testing infrastructure.
- MCP Server:
- Replaced manual logger wrappers with centralized `createLogWrapper` utility.
- Updated direct function calls to use `{ session, mcpLog }` context.
- Removed deprecated `model` parameter from analyze, expand-all, expand-task tools.
- Adjusted MCP tool import paths and parameter descriptions.
- Documentation:
- Modified `docs/configuration.md`.
- Modified `docs/tutorial.md`.
- Testing:
- E2E Script (`run_e2e.sh`):
- Removed `set -e`.
- Added LLM analysis function (`analyze_log_with_llm`) & integration.
- Adjusted test run directory creation timing.
- Added debug echo statements.
- Deleted Unit Tests: Removed `ai-client-factory.test.js`, `ai-client-utils.test.js`, `ai-services.test.js`.
- Modified Fixtures: Updated `scripts/task-complexity-report.json`.
- Dev Scripts:
- Modified `scripts/dev.js`.
* chore(tests): Passes tests for merge candidate
- Adjusted the interactive model default choice to be 'no change' instead of 'cancel setup'
- E2E script has been perfected and works as designed provided there are all provider API keys .env in the root
- Fixes the entire test suite to make sure it passes with the new architecture.
- Fixes dependency command to properly show there is a validation failure if there is one.
- Refactored config-manager.test.js mocking strategy and fixed assertions to read the real supported-models.json
- Fixed rule-transformer.test.js assertion syntax and transformation logic adjusting replacement for search which was too broad.
- Skip unstable tests in utils.test.js (log, readJSON, writeJSON error paths) due to SIGABRT crash. These tests trigger a native crash (SIGABRT), likely stemming from a conflict between internal chalk usage within the functions and Jest's test environment, possibly related to ESM module handling.
* chore(wtf): removes chai. not sure how that even made it in here. also removes duplicate test in scripts/.
* fix: ensure API key detection properly reads .env in MCP context
Problem:
- Task Master model configuration wasn't properly checking for API keys in the project's .env file when running through MCP
- The isApiKeySet function was only checking session.env and process.env but not inspecting the .env file directly
- This caused incorrect API key status reporting in MCP tools even when keys were properly set in .env
Solution:
- Modified resolveEnvVariable function in utils.js to properly read from .env file at projectRoot
- Updated isApiKeySet to correctly pass projectRoot to resolveEnvVariable
- Enhanced the key detection logic to have consistent behavior between CLI and MCP contexts
- Maintains the correct precedence: session.env → .env file → process.env
Testing:
- Verified working correctly with both MCP and CLI tools
- API keys properly detected in .env file in both contexts
- Deleted .cursor/mcp.json to confirm introspection of .env as fallback works
* fix(update): pass projectRoot through update command flow
Modified ai-services-unified.js, update.js tool, and update-tasks.js direct function to correctly pass projectRoot. This enables the .env file API key fallback mechanism for the update command when running via MCP, ensuring consistent key resolution with the CLI context.
* fix(analyze-complexity): pass projectRoot through analyze-complexity flow
Modified analyze-task-complexity.js core function, direct function, and analyze.js tool to correctly pass projectRoot. Fixed import error in tools/index.js. Added debug logging to _resolveApiKey in ai-services-unified.js. This enables the .env API key fallback for analyze_project_complexity.
* fix(add-task): pass projectRoot and fix logging/refs
Modified add-task core, direct function, and tool to pass projectRoot for .env API key fallback. Fixed logFn reference error and removed deprecated reportProgress call in core addTask function. Verified working.
* fix(parse-prd): pass projectRoot and fix schema/logging
Modified parse-prd core, direct function, and tool to pass projectRoot for .env API key fallback. Corrected Zod schema used in generateObjectService call. Fixed logFn reference error in core parsePRD. Updated unit test mock for utils.js.
* fix(update-task): pass projectRoot and adjust parsing
Modified update-task-by-id core, direct function, and tool to pass projectRoot. Reverted parsing logic in core function to prioritize `{...}` extraction, resolving parsing errors. Fixed ReferenceError by correctly destructuring projectRoot.
* fix(update-subtask): pass projectRoot and allow updating done subtasks
Modified update-subtask-by-id core, direct function, and tool to pass projectRoot for .env API key fallback. Removed check preventing appending details to completed subtasks.
* fix(mcp, expand): pass projectRoot through expand/expand-all flows
Problem: expand_task & expand_all MCP tools failed with .env keys due to missing projectRoot propagation for API key resolution. Also fixed a ReferenceError: wasSilent is not defined in expandTaskDirect.
Solution: Modified core logic, direct functions, and MCP tools for expand-task and expand-all to correctly destructure projectRoot from arguments and pass it down through the context object to the AI service call (generateTextService). Fixed wasSilent scope in expandTaskDirect.
Verification: Tested expand_task successfully in MCP using .env keys. Reviewed expand_all flow for correct projectRoot propagation.
* chore: prettier
* fix(expand-all): add projectRoot to expandAllTasksDirect invokation.
* fix(update-tasks): Improve AI response parsing for 'update' command
Refactors the JSON array parsing logic within
in .
The previous logic primarily relied on extracting content from markdown
code blocks (json or javascript), which proved brittle when the AI
response included comments or non-JSON text within the block, leading to
parsing errors for the command.
This change modifies the parsing strategy to first attempt extracting
content directly between the outermost '[' and ']' brackets. This is
more robust as it targets the expected array structure directly. If
bracket extraction fails, it falls back to looking for a strict json
code block, then prefix stripping, before attempting a raw parse.
This approach aligns with the successful parsing strategy used for
single-object responses in and resolves the
parsing errors previously observed with the command.
* refactor(mcp): introduce withNormalizedProjectRoot HOF for path normalization
Added HOF to mcp tools utils to normalize projectRoot from args/session. Refactored get-task tool to use HOF. Updated relevant documentation.
* refactor(mcp): apply withNormalizedProjectRoot HOF to update tool
Problem: The MCP tool previously handled project root acquisition and path resolution within its method, leading to potential inconsistencies and repetition.
Solution: Refactored the tool () to utilize the new Higher-Order Function (HOF) from .
Specific Changes:
- Imported HOF.
- Updated the Zod schema for the parameter to be optional, as the HOF handles deriving it from the session if not provided.
- Wrapped the entire function body with the HOF.
- Removed the manual call to from within the function body.
- Destructured the from the object received by the wrapped function, ensuring it's the normalized path provided by the HOF.
- Used the normalized variable when calling and when passing arguments to .
This change standardizes project root handling for the tool, simplifies its method, and ensures consistent path normalization. This serves as the pattern for refactoring other MCP tools.
* fix: apply to all tools withNormalizedProjectRoot to fix projectRoot issues for linux and windows
* fix: add rest of tools that need wrapper
* chore: cleanup tools to stop using rootFolder and remove unused imports
* chore: more cleanup
* refactor: Improve update-subtask, consolidate utils, update config
This commit introduces several improvements and refactorings across MCP tools, core logic, and configuration.
**Major Changes:**
1. **Refactor updateSubtaskById:**
- Switched from generateTextService to generateObjectService for structured AI responses, using a Zod schema (subtaskSchema) for validation.
- Revised prompts to have the AI generate relevant content based on user request and context (parent/sibling tasks), while explicitly preventing AI from handling timestamp/tag formatting.
- Implemented **local timestamp generation (new Date().toISOString()) and formatting** (using <info added on ...> tags) within the function *after* receiving the AI response. This ensures reliable and correctly formatted details are appended.
- Corrected logic to append only the locally formatted, AI-generated content block to the existing subtask.details.
2. **Consolidate MCP Utilities:**
- Moved/consolidated the withNormalizedProjectRoot HOF into mcp-server/src/tools/utils.js.
- Updated MCP tools (like update-subtask.js) to import withNormalizedProjectRoot from the new location.
3. **Refactor Project Initialization:**
- Deleted the redundant mcp-server/src/core/direct-functions/initialize-project-direct.js file.
- Updated mcp-server/src/core/task-master-core.js to import initializeProjectDirect from its correct location (./direct-functions/initialize-project.js).
**Other Changes:**
- Updated .taskmasterconfig fallback model to claude-3-7-sonnet-20250219.
- Clarified model cost representation in the models tool description (taskmaster.mdc and mcp-server/src/tools/models.js).
* fix: displayBanner logging when silentMode is active (#385)
* fix: improve error handling, test options, and model configuration
- Enhance error validation in parse-prd.js and update-tasks.js
- Fix bug where mcpLog was incorrectly passed as logWrapper
- Improve error messages and response formatting
- Add --skip-verification flag to E2E tests
- Update MCP server config that ships with init to match new API key structure
- Fix task force/append handling in parse-prd command
- Increase column width in update-tasks display
* chore: fixes parse prd to show loading indicator in cli.
* fix(parse-prd): suggested fix for mcpLog was incorrect. reverting to my previously working code.
* chore(init): No longer ships readme with task-master init (commented out for now). No longer looking for task-master-mcp, instead checked for task-master-ai - this should prevent the init sequence from needlessly adding another mcp server with task-master-mcp to the mpc.json which a ton of people probably ran into.
* chore: restores 3.7 sonnet as the main role.
* fix(add/remove-dependency): dependency mcp tools were failing due to hard-coded tasks path in generate task files.
* chore: removes tasks json backup that was temporarily created.
* fix(next): adjusts mcp tool response to correctly return the next task/subtask. Also adds nextSteps to the next task response.
* chore: prettier
* chore: readme typos
* fix(config): restores sonnet 3.7 as default main role.
* Version Packages
* hotfix: move production package to "dependencies" (#399)
* Version Packages
* Fix: issues with 0.13.0 not working (#402)
* Exit prerelease mode and version packages
* hotfix: move production package to "dependencies"
* Enter prerelease mode and version packages
* Enter prerelease mode and version packages
* chore: cleanup
* chore: improve pre.json and add pre-release workflow
* chore: fix package.json
* chore: cleanup
* chore: improve pre-release workflow
* chore: allow github actions to commit
* extract fileMap and conversionConfig into brand profile
* extract into brand profile
* add windsurf profile
* add remove brand rules function
* fix regex
* add rules command to add/remove rules for a specific brand
* fix post processing for roo
* allow multiples
* add cursor profile
* update test for new structure
* move rules to assets
* use assets/rules for rules files
* use standardized setupMCP function
* fix formatting
* fix formatting
* add logging
* fix escapes
* default to cursor
* allow init with certain rulesets; no more .windsurfrules
* update docs
* update log msg
* fix formatting
* keep mdc extension for cursor
* don't rewrite .mdc to .md inside the files
* fix roo init (add modes)
* fix cursor init (don't use roo transformation by default)
* use more generic function names
* update docs
* fix formatting
* update function names
* add changeset
* add rules to mcp initialize project
* register tool with mcp server
* update docs
* add integration test
* fix cursor initialization
* rule selection
* fix formatting
* fix MCP - remove yes flag
* add import
* update roo tests
* add/update tests
* remove test
* add rules command test
* update MCP responses, centralize rules profiles & helpers
* fix logging and MCP response messages
* fix formatting
* incorrect test
* fix tests
* update fileMap
* fix file extension transformations
* fix formatting
* add rules command test
* test already covered
* fix formatting
* move renaming logic into profiles
* make sure dir is deleted (DS_Store)
* add confirmation for rules removal
* add force flag for rules remove
* use force flag for test
* remove yes parameter
* fix formatting
* import brand profiles from rule-transformer.js
* update comment
* add interactive rules setup
* optimize
* only copy rules specifically listed in fileMap
* update comment
* add cline profile
* add brandDir to remove ambiguity and support Cline
* specify whether to create mcp config and filename
* add mcpConfigName value for parh
* fix formatting
* remove rules just for this repository - only include rules to be distributed
* update error message
* update "brand rules" to "rules"
* update to minor
* remove comment
* remove comments
* move to /src/utils
* optimize imports
* move rules-setup.js to /src/utils
* move rule-transformer.js to /src/utils
* move confirmation to /src/ui/confirm.js
* default to all rules
* use profile js for mcp config settings
* only run rules interactive setup if not provided via command line
* update comments
* initialize with all brands if nothing specified
* update var name
* clean up
* enumerate brands for brand rules
* update instructions
* add test to check for brand profiles
* fix quotes
* update semantics and terminology from 'brand rules' to 'rules profiles'
* fix formatting
* fix formatting
* update function name and remove copying of cursor rules, now handled by rules transformer
* update comment
* rename to mcp-config-setup.js
* use enums for rules actions
* add aggregate reporting for rules add command
* add missing log message
* use simpler path
* use base profile with modifications for each brand
* use displayName and don't select any defaults in setup
* add confirmation if removing ALL rules profiles, and add --force flag on rules remove
* Use profile-detection instead of rules-detection
* add newline at end of mcp config
* add proper formatting for mcp.json
* update rules
* update rules
* update rules
* add checks for other rules and other profile folder items before removing
* update confirmation for rules remove
* update docs
* update changeset
* fix for filepath at bottom of rule
* Update cline profile and add test; adjust other rules tests
* update changeset
* update changeset
* clarify init for all profiles if not specified
* update rule text
* revert text
* use "rule profiles" instead of "rules profiles"
* use standard tool mappings for windsurf
* add Trae support
* update changeset
* update wording
* update to 'rule profile'
* remove unneeded exports to optimize loc
* combine to /src/utils/profiles.js; add codex and claude code profiles
* rename function and add boxen
* add claude and codex integration tests
* organize tests into profiles folder
* mock fs for transformer tests
* update UI
* add cline and trae integration tests
* update test
* update function name
* update formatting
* Update change set with new profiles
* move profile integration tests to subdirectory
* properly create temp directories in /tmp folder
* fix formatting
* use taskmaster subfolder for the 2 TM rules
* update wording
* ensure subdirectory exists
* update rules from next
* update from next
* update taskmaster rule
* add details on new rules command and init
* fix mcp init
* fix MCP path to assets
* remove duplication
* remove duplication
* MCP server path fixes for rules command
* fix for CLI roo rules add/remove
* update tests
* fix formatting
* fix pattern for interactive rule profiles setup
* restore comments
* restore comments
* restore comments
* remove unused import, fix quotes
* add missing integration tests
* add VS Code profile and tests
* update docs and rules to include vscode profile
* add rules subdirectory support per-profile
* move profiles to /src
* fix formatting
* rename to remove ambiguity
* use --setup for rules interactive setup
* Fix Cursor deeplink installation with copy-paste instructions (#723)
* change roo boomerang to orchestrator; update tests that don't use modes
* fix newline
* chore: cleanup
---------
Co-authored-by: Eyal Toledano <eyal@microangel.so>
Co-authored-by: Yuval <yuvalbl@users.noreply.github.com>
Co-authored-by: Marijn van der Werf <marijn.vanderwerf@gmail.com>
Co-authored-by: Eyal Toledano <eutait@gmail.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* fix: providers config for azure, bedrock, and vertex (#822)
* fix: providers config for azure, bedrock, and vertex
* chore: improve changelog
* chore: fix CI
* fix: switch to ESM export to avoid mixed format (#633)
* fix: switch to ESM export to avoid mixed format
The CLI entrypoint was using `module.exports` alongside ESM `import` statements,
resulting in an invalid mixed module format. Replaced the CommonJS export with
a proper ESM `export` to maintain consistency and prevent module resolution issues.
* chore: add changeset
---------
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* fix: Fix external provider support (#726)
* fix(bedrock): improve AWS credential handling and add model definitions (#826)
* fix(bedrock): improve AWS credential handling and add model definitions
- Change error to warning when AWS credentials are missing in environment
- Allow fallback to system configuration (aws config files or instance profiles)
- Remove hardcoded region and profile parameters in Bedrock client
- Add Claude 3.7 Sonnet and DeepSeek R1 model definitions for Bedrock
- Update config manager to properly handle Bedrock provider
* chore: cleanup and format and small refactor
---------
Co-authored-by: Ray Krueger <raykrueger@gmail.com>
* docs: Auto-update and format models.md
* Version Packages
* chore: fix package.json
* Fix/expand command tag corruption (#827)
* fix(expand): Fix tag corruption in expand command - Fix tag parameter passing through MCP expand-task flow - Add tag parameter to direct function and tool registration - Fix contextGatherer method name from _buildDependencyContext to _buildDependencyGraphs - Add comprehensive test coverage for tag handling in expand-task - Ensures tagged task structure is preserved during expansion - Prevents corruption when tag is undefined. Fixes expand command causing tag corruption in tagged task lists. All existing tests pass and new test coverage added.
* test(e2e): Add comprehensive tag-aware expand testing to verify tag corruption fix - Add new test section for feature-expand tag creation and testing - Verify tag preservation during expand, force expand, and expand --all operations - Test that master tag remains intact and feature-expand tag receives subtasks correctly - Fix file path references to use correct .taskmaster/tasks/tasks.json location - Fix config file check to use .taskmaster/config.json instead of .taskmasterconfig - All tag corruption verification tests pass successfully in E2E test
* fix(changeset): Update E2E test improvements changeset to properly reflect tag corruption fix verification
* chore(changeset): combine duplicate changesets for expand tag corruption fix
Merge eighty-breads-wonder.md into bright-llamas-enter.md to consolidate
the expand command fix and its comprehensive E2E testing enhancements
into a single changeset entry.
* Delete .changeset/eighty-breads-wonder.md
* Version Packages
* chore: fix package.json
* fix(expand): Enhance context handling in expandAllTasks function
- Added `tag` to context destructuring for better context management.
- Updated `readJSON` call to include `contextTag` for improved data integrity.
- Ensured the correct tag is passed during task expansion to prevent tag corruption.
---------
Co-authored-by: Parththipan Thaniperumkarunai <parththipan.thaniperumkarunai@milkmonkey.de>
Co-authored-by: Parthy <52548018+mm-parthy@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* Add pyproject.toml as project root marker (#804)
* feat: Add pyproject.toml as project root marker - Added 'pyproject.toml' to the project markers array in findProjectRoot() - Enables Task Master to recognize Python projects using pyproject.toml - Improves project root detection for modern Python development workflows - Maintains compatibility with existing Node.js and Git-based detection
* chore: add changeset
---------
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
* feat: add Claude Code provider support
Implements Claude Code as a new AI provider that uses the Claude Code CLI
without requiring API keys. This enables users to leverage Claude models
through their local Claude Code installation.
Key changes:
- Add complete AI SDK v1 implementation for Claude Code provider
- Custom SDK with streaming/non-streaming support
- Session management for conversation continuity
- JSON extraction for object generation mode
- Support for advanced settings (maxTurns, allowedTools, etc.)
- Integrate Claude Code into Task Master's provider system
- Update ai-services-unified.js to handle keyless authentication
- Add provider to supported-models.json with opus/sonnet models
- Ensure correct maxTokens values are applied (opus: 32000, sonnet: 64000)
- Fix maxTokens configuration issue
- Add max_tokens property to getAvailableModels() output
- Update setModel() to properly handle claude-code models
- Create update-config-tokens.js utility for init process
- Add comprehensive documentation
- User guide with configuration examples
- Advanced settings explanation and future integration options
The implementation maintains full backward compatibility with existing
providers while adding seamless Claude Code support to all Task Master
commands.
* fix(docs): correct invalid commands in claude-code usage examples
- Remove non-existent 'do', 'estimate', and 'analyze' commands
- Replace with actual Task Master commands: next, show, set-status
- Use correct syntax for parse-prd and analyze-complexity
* feat: make @anthropic-ai/claude-code an optional dependency
This change makes the Claude Code SDK package optional, preventing installation failures for users who don't need Claude Code functionality.
Changes:
- Added @anthropic-ai/claude-code to optionalDependencies in package.json
- Implemented lazy loading in language-model.js to only import the SDK when actually used
- Updated documentation to explain the optional installation requirement
- Applied formatting fixes to ensure code consistency
Benefits:
- Users without Claude Code subscriptions don't need to install the dependency
- Reduces package size for users who don't use Claude Code
- Prevents installation failures if the package is unavailable
- Provides clear error messages when the package is needed but not installed
The implementation uses dynamic imports to load the SDK only when doGenerate() or doStream() is called, ensuring the provider can be instantiated without the package present.
* test: add comprehensive tests for ClaudeCodeProvider
Addresses code review feedback about missing automated tests for the ClaudeCodeProvider.
## Changes
- Added unit tests for ClaudeCodeProvider class covering constructor, validateAuth, and getClient methods
- Added unit tests for ClaudeCodeLanguageModel testing lazy loading behavior and error handling
- Added integration tests verifying optional dependency behavior when @anthropic-ai/claude-code is not installed
## Test Coverage
1. **Unit Tests**:
- ClaudeCodeProvider: Basic functionality, no API key requirement, client creation
- ClaudeCodeLanguageModel: Model initialization, lazy loading, error messages, warning generation
2. **Integration Tests**:
- Optional dependency behavior when package is not installed
- Clear error messages for users about missing package
- Provider instantiation works but usage fails gracefully
All tests pass and provide comprehensive coverage for the claude-code provider implementation.
* revert: remove maxTokens update functionality from init
This functionality was out of scope for the Claude Code provider PR.
The automatic updating of maxTokens values in config.json during
initialization is a general improvement that should be in a separate PR.
Additionally, Claude Code ignores maxTokens and temperature parameters
anyway, making this change irrelevant for the Claude Code integration.
Removed:
- scripts/modules/update-config-tokens.js
- Import and usage in scripts/init.js
* docs: add Claude Code support information to README
- Added Claude Code to the list of supported providers in Requirements section
- Noted that Claude Code requires no API key but needs Claude Code CLI
- Added example of configuring claude-code/sonnet model
- Created dedicated Claude Code Support section with key information
- Added link to detailed Claude Code setup documentation
This ensures users are aware of the Claude Code option as a no-API-key
alternative for using Claude models.
* style: apply biome formatting to test files
* fix(models): add missing --claude-code flag to models command
The models command was missing the --claude-code provider flag, preventing users from setting Claude Code models via CLI. While the backend already supported claude-code as a provider hint, there was no command-line flag to trigger it.
Changes:
- Added --claude-code option to models command alongside existing provider flags
- Updated provider flags validation to include claudeCode option
- Added claude-code to providerHint logic for all three model roles (main, research, fallback)
- Updated error message to include --claude-code in list of mutually exclusive flags
- Added example usage in help text
This allows users to properly set Claude Code models using commands like:
task-master models --set-main sonnet --claude-code
task-master models --set-main opus --claude-code
Without this flag, users would get "Model ID not found" errors when trying to set claude-code models, as the system couldn't determine the correct provider for generic model names like "sonnet" or "opus".
* chore: add changeset for Claude Code provider feature
* docs: Auto-update and format models.md
* readme: add troubleshooting note for MCP tools not working
* Feature/compatibleapisupport (#830)
* add compatible platform api support
* Adjust the code according to the suggestions
* Fully revised as requested: restored all required checks, improved compatibility, and converted all comments to English.
* feat: Add support for compatible API endpoints via baseURL
* chore: Add changeset for compatible API support
* chore: cleanup
* chore: improve changeset
* fix: package-lock.json
* fix: package-lock.json
---------
Co-authored-by: He-Xun <1226807142@qq.com>
* Rename Roo Code "Boomerang" role to "Orchestrator" (#831)
* feat: Enhanced project initialization with Git worktree detection (#743)
* Fix Cursor deeplink installation with copy-paste instructions (#723)
* detect git worktree
* add changeset
* add aliases and git flags
* add changeset
* rename and update test
* add store tasks in git functionality
* update changeset
* fix newline
* remove unused import
* update command wording
* update command option text
* fix: update task by id (#834)
* store tasks in git by default (#835)
* Call rules interactive setup during init (#833)
* chore: rc version bump
* feat: Claude Code slash commands for Task Master (#774)
* Fix Cursor deeplink installation with copy-paste instructions (#723)
* fix: expand-task (#755)
* docs: Update o3 model price (#751)
* docs: Auto-update and format models.md
* docs: Auto-update and format models.md
* feat: Add Claude Code task master commands
Adds Task Master slash commands for Claude Code under /project:tm/ namespace
---------
Co-authored-by: Joe Danziger <joe@ticc.net>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
Co-authored-by: Volodymyr Zahorniak <7808206+zahorniak@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: neno-is-ooo <204701868+neno-is-ooo@users.noreply.github.com>
* feat: make more compatible with "o" family models (#839)
* docs: Auto-update and format models.md
* docs: Add comprehensive Azure OpenAI configuration documentation (#837)
* docs: Add comprehensive Azure OpenAI configuration documentation
- Add detailed Azure OpenAI configuration section with prerequisites, authentication, and setup options
- Include both global and per-model baseURL configuration examples
- Add comprehensive troubleshooting guide for common Azure OpenAI issues
- Update environment variables section with Azure OpenAI examples
- Add Azure OpenAI models to all model tables (Main, Research, Fallback)
- Include prominent Azure configuration example in main documentation
- Fix azureBaseURL format to use correct Azure OpenAI endpoint structure
Addresses common Azure OpenAI setup challenges and provides clear guidance for new users.
* refactor: Move Azure models from docs/models.md to scripts/modules/supported-models.json
- Remove Azure model entries from documentation tables
- Add Azure provider section to supported-models.json with gpt-4o, gpt-4o-mini, and gpt-4-1
- Maintain consistency with existing model configuration structure
* docs: Auto-update and format models.md
* Version Packages
* chore: format fix
---------
Co-authored-by: Riccardo (Ricky) Esclapon <32306488+ries9112@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Joe Danziger <joe@ticc.net>
Co-authored-by: Eyal Toledano <eyal@microangel.so>
Co-authored-by: Yuval <yuvalbl@users.noreply.github.com>
Co-authored-by: Marijn van der Werf <marijn.vanderwerf@gmail.com>
Co-authored-by: Eyal Toledano <eutait@gmail.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Nathan Marley <nathan@glowberrylabs.com>
Co-authored-by: Ray Krueger <raykrueger@gmail.com>
Co-authored-by: Parththipan Thaniperumkarunai <parththipan.thaniperumkarunai@milkmonkey.de>
Co-authored-by: Parthy <52548018+mm-parthy@users.noreply.github.com>
Co-authored-by: ejones40 <ethan.jones@fortyau.com>
Co-authored-by: Ben Vargas <ben@vargas.com>
Co-authored-by: V4G4X <34249137+V4G4X@users.noreply.github.com>
Co-authored-by: He-Xun <1226807142@qq.com>
Co-authored-by: neno <github@meaning.systems>
Co-authored-by: Volodymyr Zahorniak <7808206+zahorniak@users.noreply.github.com>
Co-authored-by: neno-is-ooo <204701868+neno-is-ooo@users.noreply.github.com>
Co-authored-by: Jitesh Thakur <56656484+Jitha-afk@users.noreply.github.com>
* docs: Add comprehensive Azure OpenAI configuration documentation
- Add detailed Azure OpenAI configuration section with prerequisites, authentication, and setup options
- Include both global and per-model baseURL configuration examples
- Add comprehensive troubleshooting guide for common Azure OpenAI issues
- Update environment variables section with Azure OpenAI examples
- Add Azure OpenAI models to all model tables (Main, Research, Fallback)
- Include prominent Azure configuration example in main documentation
- Fix azureBaseURL format to use correct Azure OpenAI endpoint structure
Addresses common Azure OpenAI setup challenges and provides clear guidance for new users.
* refactor: Move Azure models from docs/models.md to scripts/modules/supported-models.json
- Remove Azure model entries from documentation tables
- Add Azure provider section to supported-models.json with gpt-4o, gpt-4o-mini, and gpt-4-1
- Maintain consistency with existing model configuration structure
* 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>
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".
- 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.
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
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.
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.
- 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
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.
* 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>
* 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>
* 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>
* 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>
* chore(docs): update docs and rules related to model management.
* feat(ai): Add OpenRouter AI provider support
Integrates the OpenRouter AI provider using the Vercel AI SDK adapter (@openrouter/ai-sdk-provider). This allows users to configure and utilize models available through the OpenRouter platform.
- Added src/ai-providers/openrouter.js with standard Vercel AI SDK wrapper functions (generateText, streamText, generateObject).
- Updated ai-services-unified.js to include the OpenRouter provider in the PROVIDER_FUNCTIONS map and API key resolution logic.
- Verified config-manager.js handles OpenRouter API key checks correctly.
- Users can configure OpenRouter models via .taskmasterconfig using the task-master models command or MCP models tool. Requires OPENROUTER_API_KEY.
- Enhanced error handling in ai-services-unified.js to provide clearer messages when generateObjectService fails due to lack of underlying tool support in the selected model/provider endpoint.
* feat(cli): Add --status/-s filter flag to show command and get-task MCP tool
Implements the ability to filter subtasks displayed by the `task-master show <id>` command using the `--status` (or `-s`) flag. This is also available in the MCP context.
- Modified `commands.js` to add the `--status` option to the `show` command definition.
- Updated `utils.js` (`findTaskById`) to handle the filtering logic and return original subtask counts/arrays when filtering.
- Updated `ui.js` (`displayTaskById`) to use the filtered subtasks for the table, display a summary line when filtering, and use the original subtask list for the progress bar calculation.
- Updated MCP `get_task` tool and `showTaskDirect` function to accept and pass the `status` parameter.
- Added changeset entry.
* fix(tasks): Improve next task logic to be subtask-aware
* fix(tasks): Enable removing multiple tasks/subtasks via comma-separated IDs
- Refactors the core `removeTask` function (`task-manager/remove-task.js`) to accept and iterate over comma-separated task/subtask IDs.
- Updates dependency cleanup and file regeneration logic to run once after processing all specified IDs.
- Adjusts the `remove-task` CLI command (`commands.js`) description and confirmation prompt to handle multiple IDs correctly.
- Fixes a bug in the CLI confirmation prompt where task/subtask titles were not being displayed correctly.
- Updates the `remove_task` MCP tool description to reflect the new multi-ID capability.
This addresses the previously known issue where only the first ID in a comma-separated list was processed.
Closes#140
* Update README.md (#342)
* Update Discord badge (#337)
* refactor(init): Improve robustness and dependencies; Update template deps for AI SDKs; Silence npm install in MCP; Improve conditional model setup logic; Refactor init.js flags; Tweak Getting Started text; Fix MCP server launch command; Update default model in config template
* Refactor: Improve MCP logging, update E2E & tests
Refactors MCP server logging and updates testing infrastructure.
- MCP Server:
- Replaced manual logger wrappers with centralized `createLogWrapper` utility.
- Updated direct function calls to use `{ session, mcpLog }` context.
- Removed deprecated `model` parameter from analyze, expand-all, expand-task tools.
- Adjusted MCP tool import paths and parameter descriptions.
- Documentation:
- Modified `docs/configuration.md`.
- Modified `docs/tutorial.md`.
- Testing:
- E2E Script (`run_e2e.sh`):
- Removed `set -e`.
- Added LLM analysis function (`analyze_log_with_llm`) & integration.
- Adjusted test run directory creation timing.
- Added debug echo statements.
- Deleted Unit Tests: Removed `ai-client-factory.test.js`, `ai-client-utils.test.js`, `ai-services.test.js`.
- Modified Fixtures: Updated `scripts/task-complexity-report.json`.
- Dev Scripts:
- Modified `scripts/dev.js`.
* chore(tests): Passes tests for merge candidate
- Adjusted the interactive model default choice to be 'no change' instead of 'cancel setup'
- E2E script has been perfected and works as designed provided there are all provider API keys .env in the root
- Fixes the entire test suite to make sure it passes with the new architecture.
- Fixes dependency command to properly show there is a validation failure if there is one.
- Refactored config-manager.test.js mocking strategy and fixed assertions to read the real supported-models.json
- Fixed rule-transformer.test.js assertion syntax and transformation logic adjusting replacement for search which was too broad.
- Skip unstable tests in utils.test.js (log, readJSON, writeJSON error paths) due to SIGABRT crash. These tests trigger a native crash (SIGABRT), likely stemming from a conflict between internal chalk usage within the functions and Jest's test environment, possibly related to ESM module handling.
* chore(wtf): removes chai. not sure how that even made it in here. also removes duplicate test in scripts/.
* fix: ensure API key detection properly reads .env in MCP context
Problem:
- Task Master model configuration wasn't properly checking for API keys in the project's .env file when running through MCP
- The isApiKeySet function was only checking session.env and process.env but not inspecting the .env file directly
- This caused incorrect API key status reporting in MCP tools even when keys were properly set in .env
Solution:
- Modified resolveEnvVariable function in utils.js to properly read from .env file at projectRoot
- Updated isApiKeySet to correctly pass projectRoot to resolveEnvVariable
- Enhanced the key detection logic to have consistent behavior between CLI and MCP contexts
- Maintains the correct precedence: session.env → .env file → process.env
Testing:
- Verified working correctly with both MCP and CLI tools
- API keys properly detected in .env file in both contexts
- Deleted .cursor/mcp.json to confirm introspection of .env as fallback works
* fix(update): pass projectRoot through update command flow
Modified ai-services-unified.js, update.js tool, and update-tasks.js direct function to correctly pass projectRoot. This enables the .env file API key fallback mechanism for the update command when running via MCP, ensuring consistent key resolution with the CLI context.
* fix(analyze-complexity): pass projectRoot through analyze-complexity flow
Modified analyze-task-complexity.js core function, direct function, and analyze.js tool to correctly pass projectRoot. Fixed import error in tools/index.js. Added debug logging to _resolveApiKey in ai-services-unified.js. This enables the .env API key fallback for analyze_project_complexity.
* fix(add-task): pass projectRoot and fix logging/refs
Modified add-task core, direct function, and tool to pass projectRoot for .env API key fallback. Fixed logFn reference error and removed deprecated reportProgress call in core addTask function. Verified working.
* fix(parse-prd): pass projectRoot and fix schema/logging
Modified parse-prd core, direct function, and tool to pass projectRoot for .env API key fallback. Corrected Zod schema used in generateObjectService call. Fixed logFn reference error in core parsePRD. Updated unit test mock for utils.js.
* fix(update-task): pass projectRoot and adjust parsing
Modified update-task-by-id core, direct function, and tool to pass projectRoot. Reverted parsing logic in core function to prioritize `{...}` extraction, resolving parsing errors. Fixed ReferenceError by correctly destructuring projectRoot.
* fix(update-subtask): pass projectRoot and allow updating done subtasks
Modified update-subtask-by-id core, direct function, and tool to pass projectRoot for .env API key fallback. Removed check preventing appending details to completed subtasks.
* fix(mcp, expand): pass projectRoot through expand/expand-all flows
Problem: expand_task & expand_all MCP tools failed with .env keys due to missing projectRoot propagation for API key resolution. Also fixed a ReferenceError: wasSilent is not defined in expandTaskDirect.
Solution: Modified core logic, direct functions, and MCP tools for expand-task and expand-all to correctly destructure projectRoot from arguments and pass it down through the context object to the AI service call (generateTextService). Fixed wasSilent scope in expandTaskDirect.
Verification: Tested expand_task successfully in MCP using .env keys. Reviewed expand_all flow for correct projectRoot propagation.
* chore: prettier
* fix(expand-all): add projectRoot to expandAllTasksDirect invokation.
* fix(update-tasks): Improve AI response parsing for 'update' command
Refactors the JSON array parsing logic within
in .
The previous logic primarily relied on extracting content from markdown
code blocks (json or javascript), which proved brittle when the AI
response included comments or non-JSON text within the block, leading to
parsing errors for the command.
This change modifies the parsing strategy to first attempt extracting
content directly between the outermost '[' and ']' brackets. This is
more robust as it targets the expected array structure directly. If
bracket extraction fails, it falls back to looking for a strict json
code block, then prefix stripping, before attempting a raw parse.
This approach aligns with the successful parsing strategy used for
single-object responses in and resolves the
parsing errors previously observed with the command.
* refactor(mcp): introduce withNormalizedProjectRoot HOF for path normalization
Added HOF to mcp tools utils to normalize projectRoot from args/session. Refactored get-task tool to use HOF. Updated relevant documentation.
* refactor(mcp): apply withNormalizedProjectRoot HOF to update tool
Problem: The MCP tool previously handled project root acquisition and path resolution within its method, leading to potential inconsistencies and repetition.
Solution: Refactored the tool () to utilize the new Higher-Order Function (HOF) from .
Specific Changes:
- Imported HOF.
- Updated the Zod schema for the parameter to be optional, as the HOF handles deriving it from the session if not provided.
- Wrapped the entire function body with the HOF.
- Removed the manual call to from within the function body.
- Destructured the from the object received by the wrapped function, ensuring it's the normalized path provided by the HOF.
- Used the normalized variable when calling and when passing arguments to .
This change standardizes project root handling for the tool, simplifies its method, and ensures consistent path normalization. This serves as the pattern for refactoring other MCP tools.
* fix: apply to all tools withNormalizedProjectRoot to fix projectRoot issues for linux and windows
* fix: add rest of tools that need wrapper
* chore: cleanup tools to stop using rootFolder and remove unused imports
* chore: more cleanup
* refactor: Improve update-subtask, consolidate utils, update config
This commit introduces several improvements and refactorings across MCP tools, core logic, and configuration.
**Major Changes:**
1. **Refactor updateSubtaskById:**
- Switched from generateTextService to generateObjectService for structured AI responses, using a Zod schema (subtaskSchema) for validation.
- Revised prompts to have the AI generate relevant content based on user request and context (parent/sibling tasks), while explicitly preventing AI from handling timestamp/tag formatting.
- Implemented **local timestamp generation (new Date().toISOString()) and formatting** (using <info added on ...> tags) within the function *after* receiving the AI response. This ensures reliable and correctly formatted details are appended.
- Corrected logic to append only the locally formatted, AI-generated content block to the existing subtask.details.
2. **Consolidate MCP Utilities:**
- Moved/consolidated the withNormalizedProjectRoot HOF into mcp-server/src/tools/utils.js.
- Updated MCP tools (like update-subtask.js) to import withNormalizedProjectRoot from the new location.
3. **Refactor Project Initialization:**
- Deleted the redundant mcp-server/src/core/direct-functions/initialize-project-direct.js file.
- Updated mcp-server/src/core/task-master-core.js to import initializeProjectDirect from its correct location (./direct-functions/initialize-project.js).
**Other Changes:**
- Updated .taskmasterconfig fallback model to claude-3-7-sonnet-20250219.
- Clarified model cost representation in the models tool description (taskmaster.mdc and mcp-server/src/tools/models.js).
* fix: displayBanner logging when silentMode is active (#385)
* fix: improve error handling, test options, and model configuration
- Enhance error validation in parse-prd.js and update-tasks.js
- Fix bug where mcpLog was incorrectly passed as logWrapper
- Improve error messages and response formatting
- Add --skip-verification flag to E2E tests
- Update MCP server config that ships with init to match new API key structure
- Fix task force/append handling in parse-prd command
- Increase column width in update-tasks display
* chore: fixes parse prd to show loading indicator in cli.
* fix(parse-prd): suggested fix for mcpLog was incorrect. reverting to my previously working code.
* chore(init): No longer ships readme with task-master init (commented out for now). No longer looking for task-master-mcp, instead checked for task-master-ai - this should prevent the init sequence from needlessly adding another mcp server with task-master-mcp to the mpc.json which a ton of people probably ran into.
* chore: restores 3.7 sonnet as the main role.
* fix(add/remove-dependency): dependency mcp tools were failing due to hard-coded tasks path in generate task files.
* chore: removes tasks json backup that was temporarily created.
* fix(next): adjusts mcp tool response to correctly return the next task/subtask. Also adds nextSteps to the next task response.
* chore: prettier
* chore: readme typos
* fix(config): restores sonnet 3.7 as default main role.
* Version Packages
* hotfix: move production package to "dependencies" (#399)
* Version Packages
* Fix: issues with 0.13.0 not working (#402)
* Exit prerelease mode and version packages
* hotfix: move production package to "dependencies"
* Enter prerelease mode and version packages
* Enter prerelease mode and version packages
* chore: cleanup
* chore: improve pre.json and add pre-release workflow
* chore: fix package.json
* chore: cleanup
* chore: improve pre-release workflow
* chore: allow github actions to commit
* extract fileMap and conversionConfig into brand profile
* extract into brand profile
* add windsurf profile
* add remove brand rules function
* fix regex
* add rules command to add/remove rules for a specific brand
* fix post processing for roo
* allow multiples
* add cursor profile
* update test for new structure
* move rules to assets
* use assets/rules for rules files
* use standardized setupMCP function
* fix formatting
* fix formatting
* add logging
* fix escapes
* default to cursor
* allow init with certain rulesets; no more .windsurfrules
* update docs
* update log msg
* fix formatting
* keep mdc extension for cursor
* don't rewrite .mdc to .md inside the files
* fix roo init (add modes)
* fix cursor init (don't use roo transformation by default)
* use more generic function names
* update docs
* fix formatting
* update function names
* add changeset
* add rules to mcp initialize project
* register tool with mcp server
* update docs
* add integration test
* fix cursor initialization
* rule selection
* fix formatting
* fix MCP - remove yes flag
* add import
* update roo tests
* add/update tests
* remove test
* add rules command test
* update MCP responses, centralize rules profiles & helpers
* fix logging and MCP response messages
* fix formatting
* incorrect test
* fix tests
* update fileMap
* fix file extension transformations
* fix formatting
* add rules command test
* test already covered
* fix formatting
* move renaming logic into profiles
* make sure dir is deleted (DS_Store)
* add confirmation for rules removal
* add force flag for rules remove
* use force flag for test
* remove yes parameter
* fix formatting
* import brand profiles from rule-transformer.js
* update comment
* add interactive rules setup
* optimize
* only copy rules specifically listed in fileMap
* update comment
* add cline profile
* add brandDir to remove ambiguity and support Cline
* specify whether to create mcp config and filename
* add mcpConfigName value for parh
* fix formatting
* remove rules just for this repository - only include rules to be distributed
* update error message
* update "brand rules" to "rules"
* update to minor
* remove comment
* remove comments
* move to /src/utils
* optimize imports
* move rules-setup.js to /src/utils
* move rule-transformer.js to /src/utils
* move confirmation to /src/ui/confirm.js
* default to all rules
* use profile js for mcp config settings
* only run rules interactive setup if not provided via command line
* update comments
* initialize with all brands if nothing specified
* update var name
* clean up
* enumerate brands for brand rules
* update instructions
* add test to check for brand profiles
* fix quotes
* update semantics and terminology from 'brand rules' to 'rules profiles'
* fix formatting
* fix formatting
* update function name and remove copying of cursor rules, now handled by rules transformer
* update comment
* rename to mcp-config-setup.js
* use enums for rules actions
* add aggregate reporting for rules add command
* add missing log message
* use simpler path
* use base profile with modifications for each brand
* use displayName and don't select any defaults in setup
* add confirmation if removing ALL rules profiles, and add --force flag on rules remove
* Use profile-detection instead of rules-detection
* add newline at end of mcp config
* add proper formatting for mcp.json
* update rules
* update rules
* update rules
* add checks for other rules and other profile folder items before removing
* update confirmation for rules remove
* update docs
* update changeset
* fix for filepath at bottom of rule
* Update cline profile and add test; adjust other rules tests
* update changeset
* update changeset
* clarify init for all profiles if not specified
* update rule text
* revert text
* use "rule profiles" instead of "rules profiles"
* use standard tool mappings for windsurf
* add Trae support
* update changeset
* update wording
* update to 'rule profile'
* remove unneeded exports to optimize loc
* combine to /src/utils/profiles.js; add codex and claude code profiles
* rename function and add boxen
* add claude and codex integration tests
* organize tests into profiles folder
* mock fs for transformer tests
* update UI
* add cline and trae integration tests
* update test
* update function name
* update formatting
* Update change set with new profiles
* move profile integration tests to subdirectory
* properly create temp directories in /tmp folder
* fix formatting
* use taskmaster subfolder for the 2 TM rules
* update wording
* ensure subdirectory exists
* update rules from next
* update from next
* update taskmaster rule
* add details on new rules command and init
* fix mcp init
* fix MCP path to assets
* remove duplication
* remove duplication
* MCP server path fixes for rules command
* fix for CLI roo rules add/remove
* update tests
* fix formatting
* fix pattern for interactive rule profiles setup
* restore comments
* restore comments
* restore comments
* remove unused import, fix quotes
* add missing integration tests
* add VS Code profile and tests
* update docs and rules to include vscode profile
* add rules subdirectory support per-profile
* move profiles to /src
* fix formatting
* rename to remove ambiguity
* use --setup for rules interactive setup
* Fix Cursor deeplink installation with copy-paste instructions (#723)
* change roo boomerang to orchestrator; update tests that don't use modes
* fix newline
* chore: cleanup
---------
Co-authored-by: Eyal Toledano <eyal@microangel.so>
Co-authored-by: Yuval <yuvalbl@users.noreply.github.com>
Co-authored-by: Marijn van der Werf <marijn.vanderwerf@gmail.com>
Co-authored-by: Eyal Toledano <eutait@gmail.com>
Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* fix(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>
* 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>
* 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>
Add comprehensive AI-powered research command with intelligent context gathering and interactive follow-ups.
The new `research` command provides AI-powered research capabilities that automatically gather relevant project context to answer your questions. The command intelligently selects context from multiple sources and supports interactive follow-up questions in CLI mode.
**Key Features:**
- **Intelligent Task Discovery**: Automatically finds relevant tasks and subtasks using fuzzy search based on your query keywords, supplementing any explicitly provided task IDs
- **Multi-Source Context**: Gathers context from tasks, files, project structure, and custom text to provide comprehensive answers
- **Interactive Follow-ups**: CLI users can ask follow-up questions that build on the conversation history while allowing fresh context discovery for each question
- **Flexible Detail Levels**: Choose from low (concise), medium (balanced), or high (comprehensive) response detail levels
- **Enhanced Display**: Syntax-highlighted code blocks and structured output with clear visual separation
**Usage Examples:**
```bash
# Basic research with auto-discovered context
task-master research "How should I implement user authentication?"
# Research with specific task context
task-master research "What's the best approach for this?" --id=15,23.2
# Research with file context and project tree
task-master research "How does the current auth system work?" --files=src/auth.js,config/auth.json --tree
# Research with custom context and low detail
task-master research "Quick implementation steps?" --context="Using JWT tokens" --detail=low
```
**Context Sources:**
- **Tasks**: Automatically discovers relevant tasks/subtasks via fuzzy search, plus any explicitly specified via `--id`
- **Files**: Include specific files via `--files` for code-aware responses
- **Project Tree**: Add `--tree` to include project structure overview
- **Custom Context**: Provide additional context via `--context` for domain-specific information
**Interactive Features (CLI only):**
- Follow-up questions that maintain conversation history
- Fresh fuzzy search for each follow-up to discover newly relevant tasks
- Cumulative context building across the conversation
- Clean visual separation between exchanges
- **Save to Tasks**: Save entire research conversations (including follow-ups) directly to task or subtask details with timestamps
- **Clean Menu Interface**: Streamlined inquirer-based menu for follow-up actions without redundant UI elements
**Save Functionality:**
The research command now supports saving complete conversation threads to tasks or subtasks:
- Save research results and follow-up conversations to any task (e.g., "15") or subtask (e.g., "15.2")
- Automatic timestamping and formatting of conversation history
- Validation of task/subtask existence before saving
- Appends to existing task details without overwriting content
- Supports both CLI interactive mode and MCP programmatic access via `--save-to` flag
**Enhanced CLI Options:**
```bash
# Auto-save research results to a task
task-master research "Implementation approach?" --save-to=15
# Combine auto-save with context gathering
task-master research "How to optimize this?" --id=23 --save-to=23.1
```
**MCP Integration:**
-`saveTo` parameter for automatic saving to specified task/subtask ID
- Structured response format with telemetry data
- Silent operation mode for programmatic usage
- Full feature parity with CLI except interactive follow-ups
The research command integrates with the existing AI service layer and supports all configured AI providers. Both CLI and MCP interfaces provide comprehensive research capabilities with intelligent context gathering and flexible output options.
- **Fixed moving tasks to become subtasks of empty parents**: When moving a task to become a subtask of a parent that had no existing subtasks (e.g., task 89 → task 98.1), the operation would fail with validation errors.
- **Fixed moving subtasks between parents**: Subtasks can now be properly moved between different parent tasks, including to parents that previously had no subtasks.
- **Improved comma-separated batch moves**: Multiple tasks can now be moved simultaneously using comma-separated IDs (e.g., "88,90" → "92,93") with proper error handling and atomic operations.
These fixes enables proper task hierarchy reorganization for corner cases that were previously broken.
Adds ability to automatically create/switch tags to match the current git branch. The configuration to enable the git workflow and then use the auto switching is in config.json."
Enhanced add-task fuzzy search intelligence and improved user experience
**Smarter Task Discovery:**
- Remove hardcoded category system that always matched "Task management"
- Eliminate arbitrary limits on 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
- Generate context-driven task recommendations based on true semantic similarity
**Enhanced Terminal Experience:**
- Fix duplicate banner display issue that was "eating" terminal history (closes #553)
- Remove console.clear() and redundant displayBanner() calls from UI functions
- Preserve command history for better development workflow
- Streamline banner display across all commands (list, next, show, set-status, clear-subtasks, dependency commands)
**Visual Improvements:**
- Replace emoji complexity indicators with clean filled circle characters (●) for professional appearance
- Improve consistency and readability of task complexity display
**AI Provider Compatibility:**
- Change generateObject mode from 'tool' to 'auto' for better cross-provider compatibility
- Add qwen3-235n-a22b:free model support (closes #687)
- Add smart warnings for free OpenRouter models with limitations (rate limits, restricted context, no tool_use)
**Technical Improvements:**
- Enhanced context generation in add-task to rely on semantic similarity rather than rigid pattern matching
- Improved dependency analysis and common pattern detection
- Better handling of task relationships and relevance scoring
- More intelligent task suggestion algorithms
The add-task system now provides truly relevant task context based on semantic understanding rather than arbitrary categories and limits, while maintaining a cleaner and more professional terminal experience.
Enhance update-task with --append flag for timestamped task updates
Adds the `--append` flag to `update-task` command, enabling it to behave like `update-subtask` with timestamped information appending. This provides more flexible task updating options:
-`task-master update-task --id=5 --append --prompt="Progress update"` - Append timestamped info to task details
**Full MCP Integration:**
- MCP tool `update_task` now supports `append` parameter
- Seamless integration with Cursor and other MCP clients
- Consistent behavior between CLI and MCP interfaces
Instead of requiring separate subtask creation for progress tracking, you can now append timestamped information directly to parent tasks while preserving the option for comprehensive task updates.
Add --tag flag support to core commands for multi-context task management. Commands like parse-prd, analyze-complexity, and others now support targeting specific task lists, enabling rapid prototyping and parallel development workflows.
Key features:
- parse-prd --tag=feature-name: Parse PRDs into separate task contexts on the fly
Add Claude Code plugin with marketplace distribution
This release introduces official Claude Code plugin support, marking the evolution from legacy `.claude` directory copying to a modern plugin-based architecture.
## 🎉 New: Claude Code Plugin
Task Master AI commands and agents are now distributed as a proper Claude Code plugin:
- **49 slash commands** with clean naming (`/task-master-ai:command-name`)
- **3 specialized AI agents** (task-orchestrator, task-executor, task-checker)
- **MCP server integration** for deep Claude Code integration
Add RPG (Repository Planning Graph) method template for structured PRD creation. The new `example_prd_rpg.txt` template teaches AI agents and developers the RPG methodology through embedded instructions, inline good/bad examples, and XML-style tags for structure. This template enables creation of dependency-aware PRDs that automatically generate topologically-ordered task graphs when parsed with Task Master.
Key features:
- Method-as-template: teaches RPG principles (dual-semantics, explicit dependencies, topological order) while being used
- Inline instructions at decision points guide AI through each section
- Good/bad examples for immediate pattern matching
- Flexible plain-text format with XML-style tags for parseability
The RPG template complements the existing `example_prd.txt` and provides a more structured approach for complex projects requiring clear module boundaries and dependency chains.
Fixes an issue where adding dependencies between subtasks and top-level tasks (e.g., `task-master add-dependency --id=2.2 --depends-on=11`) would report success but fail to persist the changes. Dependencies can now be created in both directions between any task levels.
Introduces Tagged Lists: AI Multi-Context Task Management System
This major release introduces Tagged Lists, a comprehensive system that transforms Task Master into a multi-context task management powerhouse. You can now organize tasks into completely isolated contexts, enabling parallel (agentic) development workflows, team collaboration, and project experimentation without conflicts.
**🏷️ Tagged Task Lists Architecture:**
The new tagged system fundamentally changes how tasks are organized:
- Tagged format with complete isolation between contexts
- Rich metadata per tag (creation date, description, update tracking)
- Automatic metadata enhancement for existing tags
- Clean separation of tag data and internal state
**Performance Optimizations:**
- Dynamic task counting without stored counters
- Efficient tag resolution and caching
- Minimal file I/O with smart data loading
- Responsive table layouts adapting to terminal width
**Error Handling:**
- Comprehensive validation for tag names (alphanumeric, hyphens, underscores)
- Reserved name protection (master, main, default)
- Graceful handling of missing tags and corrupted data
- Detailed error messages with suggested corrections
This release establishes the foundation for advanced multi-context workflows while maintaining the simplicity and power that makes Task Master effective for individual developers.
Research Save-to-File Feature & Critical MCP Tag Corruption Fix
**🔬 New Research Save-to-File Functionality:**
Added comprehensive save-to-file capability to the research command, enabling users to preserve research sessions for future reference and documentation.
**CLI Integration:**
- New `--save-file` flag for `task-master research` command
- Consistent with existing `--save` and `--save-to` flags for intuitive usage
- Interactive "Save to file" option in follow-up questions menu
**MCP Integration:**
- New `saveToFile` boolean parameter for the `research` MCP tool
- Enables programmatic research saving for AI agents and integrated tools
No longer automatically creates individual task files as they are not used by the applicatoin. You can still generate them anytime using the `generate` command.
Enhance `expand_all` to intelligently use complexity analysis recommendations when expanding tasks.
The expand-all operation now automatically leverages recommendations from `analyze-complexity` to determine optimal subtask counts for each task, resulting in more accurate and context-aware task breakdowns.
Key improvements:
- Automatic integration with complexity analysis reports
- Tag-aware complexity report path resolution
- Intelligent subtask count determination based on task complexity
- Falls back to defaults when complexity analysis is unavailable
- Enhanced logging for better visibility into expansion decisions
When you run `task-master expand --all` after `task-master analyze-complexity`, Task Master now uses the recommended subtask counts from the complexity analysis instead of applying uniform defaults, ensuring each task is broken down according to its actual complexity.
Enhanced get-task/show command to support comma-separated task IDs for efficient batch operations
**New Features:**
- **Multiple Task Retrieval**: Pass comma-separated IDs to get/show multiple tasks at once (e.g., `task-master show 1,3,5` or MCP `get_task` with `id: "1,3,5"`)
- **Smart Display Logic**: Single ID shows detailed view, multiple IDs show compact summary table with interactive options
- **Batch Action Menu**: Interactive menu for multiple tasks with copy-paste ready commands for common operations (mark as done/in-progress, expand all, view dependencies, etc.)
- **MCP Array Response**: MCP tool returns structured array of task objects for efficient AI agent context gathering
**Benefits:**
- **Faster Context Gathering**: AI agents can collect multiple tasks/subtasks in one call instead of iterating
- **Better UX**: Responsive layout adapts to terminal width, maintains consistency with existing UI patterns
- **API Efficiency**: RESTful array responses in MCP format enable more sophisticated integrations
This enhancement maintains full backward compatibility while significantly improving efficiency for both human users and AI agents working with multiple tasks.
"description":"Official marketplace for Taskmaster AI - AI-powered task management for ambitious development",
"version":"1.0.0"
},
"plugins":[
{
"name":"taskmaster",
"source":"./packages/claude-code-plugin",
"description":"AI-powered task management system for ambitious development workflows with intelligent orchestration, complexity analysis, and automated coordination",
Find up to 3 likely duplicate issues for a given GitHub issue.
To do this, follow these steps precisely:
1. Use an agent to check if the Github issue (a) is closed, (b) does not need to be deduped (eg. because it is broad product feedback without a specific solution, or positive feedback), or (c) already has a duplicates comment that you made earlier. If so, do not proceed.
2. Use an agent to view a Github issue, and ask the agent to return a summary of the issue
3. Then, launch 5 parallel agents to search Github for duplicates of this issue, using diverse keywords and search approaches, using the summary from #1
4. Next, feed the results from #1 and #2 into another agent, so that it can filter out false positives, that are likely not actually duplicates of the original issue. If there are no duplicates remaining, do not proceed.
5. Finally, comment back on the issue with a list of up to three duplicate issues (or zero, if there are no likely duplicates)
Notes (be sure to tell this to your agents, too):
- Use `gh` to interact with Github, rather than web fetch
- Do not use other tools, beyond `gh` (eg. don't use other MCP servers, file edit, etc.)
- Make a todo list first
- For your comment, follow the following format precisely (assuming for this example that you found 3 suspected duplicates):
---
Found 3 possible duplicate issues:
1.<linktoissue>
2.<linktoissue>
3.<linktoissue>
This issue will be automatically closed as a duplicate in 3 days.
- If your issue is a duplicate, please close it and 👍 the existing issue instead
- To prevent auto-closure, add a comment or 👎 this comment
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.
- **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."*
- **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
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)
5. **Master List Curation**: Keep only the most valuable initiatives in master
The parse-prd's `--append` flag enables the user to parse multiple 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"
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).
@@ -28,62 +209,15 @@ Task Master offers two primary ways to interact:
- 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.
## Tagged Task Lists System
## How the Tag System Works (For Your Reference)
Task Master now supports **tagged task lists** for multi-context task management:
- **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.
- **Data Structure**: Tasks are organized into separate contexts (tags) like "master", "feature-branch", or "v2.0"
- **Seamless Migration**: Existing projects automatically migrate to use a "master" tag with zero disruption
- **Backward Compatibility**: All existing commands continue to work exactly as before
- **Context Isolation**: Tasks in different tags are completely separate and isolated
- **Silent Migration**: The first time you run any Task Master command, your existing tasks.json will be automatically migrated to the new tagged format
- **Migration Notice**: You'll see a friendly FYI notice after migration explaining the new system
**Migration Example**:
```json
// Before (legacy format)
{
"tasks": [
{ "id": 1, "title": "Setup API", ... }
]
}
// After (tagged format - automatic)
{
"master": {
"tasks": [
{ "id": 1, "title": "Setup API", ... }
]
}
}
```
**Tag Management**: CLI commands for tag management (`add-tag`, `use-tag`, `list-tags`, `delete-tag`, `rename-tag`, `copy-tag`) are now available with manual git integration via `--from-branch` option.
## Standard Development Workflow Process
- Start new projects by running `initialize_project` tool / `task-master init` or `parse_prd` / `task-master parse-prd --input='<prd-file.txt>'` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to generate initial tasks.json with tagged structure
- Begin coding sessions with `get_tasks` / `task-master list` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to see current tasks, status, and IDs
- Determine the next task to work on using `next_task` / `task-master next` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)).
- Analyze task complexity with `analyze_project_complexity` / `task-master analyze-complexity --research` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) before breaking down tasks
- Review complexity report using `complexity_report` / `task-master complexity-report` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)).
- Select tasks based on dependencies (all marked 'done'), priority level, and ID order
- 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`
- Reorganize tasks as needed using `move_task` / `task-master move --from=<id> --to=<id>` (see [`taskmaster.mdc`](mdc:.cursor/rules/taskmaster.mdc)) to change task hierarchy or ordering
---
## Task Complexity Analysis
@@ -161,6 +295,17 @@ Taskmaster configuration is managed through two main mechanisms:
**If AI commands FAIL in MCP** verify that the API key for the selected provider is present in the `env` section of `.cursor/mcp.json`.
**If AI commands FAIL in CLI** verify that the API key for the selected provider is present in the `.env` file in the root of the project.
## Rules Management
Taskmaster supports multiple AI coding assistant rule sets that can be configured during project initialization or managed afterward:
@@ -26,6 +26,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* `--name <name>`: `Set the name for your project in Taskmaster's configuration.`
* `--description <text>`: `Provide a brief description for your project.`
* `--version <version>`: `Set the initial version for your project, e.g., '0.1.0'.`
* `--no-git`: `Skip initializing a Git repository entirely.`
* `-y, --yes`: `Initialize Taskmaster quickly using default settings without interactive prompts.`
* **Usage:** Run this once at the beginning of a new project.
* **MCP Variant Description:** `Set up the basic Taskmaster file structure and configuration in the current directory for a new project by running the 'task-master init' command.`
@@ -36,6 +37,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* `skipInstall`: `Skip installing dependencies. Default is false.` (CLI: `--skip-install`)
* `addAliases`: `Add shell aliases tm and taskmaster. Default is false.` (CLI: `--aliases`)
* `noGit`: `Skip initializing a Git repository entirely. Default is false.` (CLI: `--no-git`)
* `yes`: `Skip prompts and use defaults/provided arguments. Default is false.` (CLI: `-y, --yes`)
* **Usage:** Run this once at the beginning of a new project, typically via an integrated tool like Cursor. Operates on the current working directory of the MCP server.
* **Important:** Once complete, you *MUST* parse a prd in order to generate tasks. There will be no tasks files until then. The next step after initializing should be to create a PRD using the example PRD in .taskmaster/templates/example_prd.txt.
@@ -77,6 +79,7 @@ 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`.
@@ -108,6 +111,7 @@ 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`)
@@ -136,6 +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.
@@ -153,7 +158,8 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* `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`)
* `generate`: `Enable Taskmaster to regenerate markdown task files after adding the subtask.` (CLI: `--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.
@@ -166,6 +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.
@@ -191,12 +198,13 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **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 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 remove the task from. Defaults to the current active tag.` (CLI: `--tag <name>`)
* `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:** 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.
* **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`)
@@ -206,6 +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.
@@ -217,6 +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.
@@ -262,8 +272,9 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **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>`)
* `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.
@@ -275,7 +286,8 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **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`)
* `generate`: `Enable Taskmaster to regenerate markdown task files after removing the subtask.` (CLI: `--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.
@@ -287,6 +299,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **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
@@ -316,6 +329,7 @@ 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.
@@ -327,6 +341,7 @@ 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.
@@ -336,6 +351,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
* **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.
@@ -373,6 +389,7 @@ This document provides a detailed reference for interacting with Taskmaster, cov
Before implementing the TDD workflow, ensure your project has a proper testing framework configured. This section covers setup for different technology stacks.
### **Detecting Project Type & Framework Needs**
**AI Agent Assessment Checklist:**
1. **Language Detection**: Check for `package.json` (Node.js/JavaScript), `requirements.txt` (Python), `Cargo.toml` (Rust), etc.
2. **Existing Tests**: Look for test files (`.test.`, `.spec.`, `_test.`) or test directories
3. **Framework Detection**: Check for existing test runners in dependencies
4. **Project Structure**: Analyze directory structure for testing patterns
### **JavaScript/Node.js Projects (Jest Setup)**
#### **Prerequisites Check**
```bash
# Verify Node.js project
ls package.json # Should exist
# Check for existing testing setup
ls jest.config.js jest.config.ts # Check for Jest config
grep -E "(jest|vitest|mocha)" package.json # Check for test runners
```
#### **Jest Installation & Configuration**
**Step 1: Install Dependencies**
```bash
# Core Jest dependencies
npm install --save-dev jest
# TypeScript support (if using TypeScript)
npm install --save-dev ts-jest @types/jest
# Additional useful packages
npm install --save-dev supertest @types/supertest # For API testing
You're an issue triage assistant for GitHub issues. Your task is to analyze the issue and select appropriate labels from the provided list.
IMPORTANT: Don't post any comments or messages to the issue. Your only action should be to apply labels.
Issue Information:
- REPO: ${{ github.repository }}
- ISSUE_NUMBER: ${{ github.event.issue.number }}
TASK OVERVIEW:
1. First, fetch the list of labels available in this repository by running: `gh label list`. Run exactly this command with nothing else.
2. Next, use the GitHub tools to get context about the issue:
- You have access to these tools:
- mcp__github__get_issue: Use this to retrieve the current issue's details including title, description, and existing labels
- mcp__github__get_issue_comments: Use this to read any discussion or additional context provided in the comments
- mcp__github__update_issue: Use this to apply labels to the issue (do not use this for commenting)
- mcp__github__search_issues: Use this to find similar issues that might provide context for proper categorization and to identify potential duplicate issues
- mcp__github__list_issues: Use this to understand patterns in how other issues are labeled
- Start by using mcp__github__get_issue to get the issue details
3. Analyze the issue content, considering:
- The issue title and description
- The type of issue (bug report, feature request, question, etc.)
- Technical areas mentioned
- Severity or priority indicators
- User impact
- Components affected
4. Select appropriate labels from the available labels list provided above:
- Choose labels that accurately reflect the issue's nature
- Be specific but comprehensive
- Select priority labels if you can determine urgency (high-priority, med-priority, or low-priority)
- Consider platform labels (android, ios) if applicable
- If you find similar issues using mcp__github__search_issues, consider using a "duplicate" label if appropriate. Only do so if the issue is a duplicate of another OPEN issue.
5. Apply the selected labels:
- Use mcp__github__update_issue to apply your selected labels
- DO NOT post any comments explaining your decision
- DO NOT communicate directly with users
- If no labels are clearly applicable, do not apply any labels
IMPORTANT GUIDELINES:
- Be thorough in your analysis
- Only select labels from the provided list above
- DO NOT post any comments to the issue
- Your ONLY action should be to apply labels using mcp__github__update_issue
- It's okay to not add any labels if none are clearly applicable
"prompt": "I just saved a source code file. Please:\n\n1. Check what task is currently 'in-progress' using 'tm list --status=in-progress'\n2. Look at the file I saved and summarize what was changed (considering the programming language and context)\n3. Update the task's notes with: 'tm update-subtask --id=<task_id> --prompt=\"Implemented: <summary_of_changes> in <file_path>\"'\n4. If the changes seem to complete the task based on its description, ask if I want to mark it as done"
"description": "Analyze task complexity when new tasks are added",
"version": "1",
"when": {
"type": "fileEdited",
"patterns": [
".taskmaster/tasks/tasks.json"
]
},
"then": {
"type": "askAgent",
"prompt": "New tasks were added to tasks.json. For each new task:\n\n1. Run 'tm analyze-complexity --id=<task_id>'\n2. If complexity score is > 7, automatically expand it: 'tm expand --id=<task_id> --num=5'\n3. Show the complexity analysis results\n4. Suggest task dependencies based on the expanded subtasks"
"description": "Morning workflow summary and task selection",
"version": "1",
"when": {
"type": "userTriggered"
},
"then": {
"type": "askAgent",
"prompt": "Good morning! Please provide my daily standup summary:\n\n1. Run 'tm list --status=done' and show tasks completed in the last 24 hours\n2. Run 'tm list --status=in-progress' to show current work\n3. Run 'tm next' to suggest the highest priority task to start\n4. Show the dependency graph for upcoming work\n5. Ask which task I'd like to focus on today"
"description": "Link commits to tasks for traceability",
"version": "1",
"when": {
"type": "manual"
},
"then": {
"type": "askAgent",
"prompt": "I'm about to commit code. Please:\n\n1. Run 'git diff --staged' to see what's being committed\n2. Analyze the changes and suggest which tasks they relate to\n3. Generate a commit message in format: 'feat(task-<id>): <description>'\n4. Update the relevant tasks with a note about this commit\n5. Show the proposed commit message for approval"
"description": "Validate tasks before creating a pull request",
"version": "1",
"when": {
"type": "manual"
},
"then": {
"type": "askAgent",
"prompt": "I'm about to create a PR. Please:\n\n1. List all tasks marked as 'done' in this branch\n2. For each done task, verify:\n - All subtasks are also done\n - Test files exist for new functionality\n - No TODO comments remain related to the task\n3. Generate a PR description listing completed tasks\n4. Suggest a PR title based on the main tasks completed"
"description": "Automatically progress tasks when dependencies are completed",
"version": "1",
"when": {
"type": "fileEdited",
"patterns": [
".taskmaster/tasks/tasks.json",
".taskmaster/tasks/*.json"
]
},
"then": {
"type": "askAgent",
"prompt": "Check the tasks.json file for any tasks that just changed status to 'done'. For each completed task:\n\n1. Find all tasks that depend on it\n2. Check if those dependent tasks now have all their dependencies satisfied\n3. If a task has all dependencies met and is still 'pending', use the command 'tm set-status --id=<task_id> --status=in-progress' to start it\n4. Show me which tasks were auto-started and why"
"prompt": "A test file was just saved. Please:\n\n1. Identify the test framework/language and run the appropriate test command for this file (npm test, pytest, go test, cargo test, dotnet test, mvn test, etc.)\n2. If all tests pass, check which tasks mention this functionality\n3. For any matching tasks that are 'in-progress', ask if the passing tests mean the task is complete\n4. If confirmed, mark the task as done with 'tm set-status --id=<task_id> --status=done'"
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.md`) to generate initial tasks.json with tagged structure
- Configure rule sets during initialization with `--rules` flag (e.g., `task-master init --rules kiro,windsurf`) or manage them later with `task-master rules add/remove` commands
- Begin coding sessions with `get_tasks` / `task-master list` (see @`taskmaster.md`) to see current tasks, status, and IDs
- Determine the next task to work on using `next_task` / `task-master next` (see @`taskmaster.md`)
- Analyze task complexity with `analyze_project_complexity` / `task-master analyze-complexity --research` (see @`taskmaster.md`) before breaking down tasks
- Review complexity report using `complexity_report` / `task-master complexity-report` (see @`taskmaster.md`)
- 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.md`) to understand implementation requirements
- Break down complex tasks using `expand_task` / `task-master expand --id=<id> --force --research` (see @`taskmaster.md`) 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.md`)
- 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.md`)
---
## 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.
- **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."*
- **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
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)
5.**Master List Curation**: Keep only the most valuable initiatives in master
The parse-prd's `--append` flag enables the user to parse multiple 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"
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 Kiro), 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.md` 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.md`.
- **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.md` 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.md` for a full command list.
---
## Task Complexity Analysis
- Run `analyze_project_complexity` / `task-master analyze-complexity --research` (see @`taskmaster.md`) for comprehensive analysis
- Review complexity report via `complexity_report` / `task-master complexity-report` (see @`taskmaster.md`) 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
**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 `.kiro/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:
- **During Initialization**: Use `task-master init --rules kiro,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., `.kiro/steering`, `.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.md`) to thoroughly understand the specific goals and requirements of the subtask.
* 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.
* 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.md` and `self_improve.md`).
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.md`). 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.*
This document provides a detailed reference for interacting with Taskmaster, covering both the recommended MCP tools, suitable for integrations like Kiro, 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>`)
*`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 Kiro. 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`.
***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.
***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>`)
*`generate`: `Enable Taskmaster to regenerate markdown task files after adding the subtask.` (CLI: `--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.
***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.
***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.
***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.
***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.
***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.
***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)
***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`)
**Set API keys** in your **`.env`** file in the project root (for CLI use) or within the `env` section of your **`.kiro/mcp.json`** file (for MCP/Kiro 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 [dev_workflow.md](.kiro/steering/dev_workflow.md).
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
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"
Add a new CLI command: `task-master start <task_id>` (alias: `tm start <task_id>`). This command hard-codes `claude-code` as the executor, fetches task details, builds a standardized prompt, runs claude-code, shows the result, checks for git changes, and auto-marks the task as done if successful.
We follow the Commander class pattern, reuse task retrieval from `show` command flow. Extremely minimal for 1-hour hackathon timeline.
# Core Features
- `start` command (Commander class style)
- Hard-coded executor: `claude-code`
- Standardized prompt designed for minimal changes following existing patterns
- Shows claude-code output (no streaming)
- Git status check for success detection
- Auto-mark task done if successful
# User Experience
```
task-master start 12
```
1) Fetches Task #12 details
2) Builds standardized prompt with task context
3) Runs claude-code with the prompt
4) Shows output
5) Checks git status for changes
6) Auto-marks task done if changes detected
</context>
<PRD>
# Technical Architecture
- Command pattern:
- Create `apps/cli/src/commands/start.command.ts` modeled on [list.command.ts](mdc:apps/cli/src/commands/list.command.ts) and task lookup from [show.command.ts](mdc:apps/cli/src/commands/show.command.ts)
- Task retrieval:
- Use `@tm/core` via `createTaskMasterCore` to get task by ID
TypeScript is a strongly typed, object-oriented programming language that builds on JavaScript by adding static typing and type annotations. It is a syntactic superset of JavaScript, meaning all JavaScript code is valid TypeScript, but TypeScript adds extra syntax to specify types, enabling compile-time type checking and better tooling support. This helps catch errors early before running the code and improves code quality, especially in large-scale applications. TypeScript code is transpiled to plain JavaScript, which can run anywhere JavaScript runs, such as browsers, Node.js, or Deno. It is developed and maintained by Microsoft as open-source software under the Apache 2.0 license[1][2][3][4][5].
---
## Follow-up 1
**Question:** And why is the sky blue?
**Response:**
- The sky appears blue because sunlight interacts with Earth's atmosphere, and the shorter wavelengths of light (blue and violet) are scattered in all directions by air molecules—a process called Rayleigh scattering[1][2][3][5].
- Blue light is scattered more than red light because it has a shorter wavelength, making the sky look blue to our eyes during the day[2][3][5].
- If Earth's atmosphere didn't scatter sunlight, the sky would appear dark, as it does on the Moon, which lacks an atmosphere[5].
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].
| 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].
| `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].
query: "should i be using any specific libraries for this?"
date: 6/14/2025
time: 5:20:00 PM
timestamp: 2025-06-14T21:20:00.561Z
exchanges: 2
---
# Research Session
## Initial Query
**Question:** should i be using any specific libraries for this?
**Response:**
HELL YEAH PARTNER
For implementing a GitHub Issue export feature with bidirectional linking in your project, you absolutely should use a dedicated library for interacting with the GitHub API. This will save you a ton of time, reduce boilerplate, and help you avoid common pitfalls with authentication, pagination, and error handling.
## Recommended Library: PyGithub
- **PyGithub** is the most widely used and well-documented Python library for accessing the GitHub REST API v3. It allows you to manage repositories, issues, user profiles, and more, all with a clean, object-oriented interface[1][2][3][5].
- It supports all the operations you’ll need for your export feature, including creating issues, updating them, and managing references for bidirectional linking.
### Key Features
- **Authentication**: Easily authenticate with a personal access token.
- **Issue Management**: Create, update, and link issues programmatically.
- **Repository Access**: Fetch and manipulate repository data.
- **User/Org Support**: Works for both user and organization repos.
- **Pagination & Rate Limiting**: Handles these for you.
### Example Usage
```python
fromgithubimportGithub,Auth
# Authenticate with a personal access token
auth=Auth.Token("your_github_token")
g=Github(auth=auth)
# Get the repo
repo=g.get_repo("owner/repo_name")
# Create a new issue
issue=repo.create_issue(
title="Exported from Task Master",
body="This issue was created by Task Master. [Task ID: 123]"
)
# Add a comment or update the issue to include a backlink
issue.create_comment("Linked to Task Master task #123")
```
[3][5]
## Why Not Use Raw Requests?
- While you *can* use the `requests` library to call the GitHub API directly[4], PyGithub abstracts away authentication, error handling, and pagination, making your code much cleaner and less error-prone[2][5].
## Integration Tips
- Store your GitHub token securely (e.g., in environment variables).
- Use PyGithub’s objects to fetch, create, and update issues.
- For bidirectional linking, store the GitHub issue URL in your task data and the Task Master task ID in the GitHub issue body or as a label/comment.
- PyGithub is actively maintained and widely used, so you’ll find plenty of support and documentation.
## Installation
```bash
pip install PyGithub
```
[3]
## Summary Table
| Library | Language | API Coverage | Ease of Use | Maintained | Docs/Support |
| PyGithub | Python | Full | High | Yes | Excellent |
| requests | Python | Full (manual)| Medium | Yes | Good |
**Use PyGithub for all GitHub API interactions in your export/import features.** It’s the standard for Python projects and will make your implementation faster, safer, and more maintainable[1][2][3][5].
---
## Follow-up 1
**Question:** we don't want to use py github because we have a node project
**Response:**
HELL YEAH PARTNER
For a Node.js project, you should use a Node-native library to interact with the GitHub API instead of PyGithub, which is Python-only. The industry standard for Node.js is **Octokit**, the official GitHub SDK for JavaScript/TypeScript[1][2].
## Why Use Octokit?
- **Official & Complete**: Octokit is maintained by GitHub and covers all REST and GraphQL API endpoints, including issues, repositories, users, and more[1][2].
- **Universal**: Works in Node.js, browsers, and Deno environments[2].
- **Typed & Tested**: Comes with TypeScript declarations and 100% test coverage[2].
- **Authentication**: Supports personal access tokens, GitHub Apps, OAuth, and more.
- **Pagination & Error Handling**: Handles pagination and common error scenarios out of the box.
- **Extendable**: Supports plugins and custom hooks for advanced use cases[2].
body:"This issue was created by Task Master. [Task ID: 123]"
});
// Add a comment for bidirectional linking
awaitoctokit.issues.createComment({
owner:"owner",
repo:"repo_name",
issue_number:issue.number,
body:"Linked to Task Master task #123"
});
```
## Alternatives
- **node-github**: An older library, less maintained than Octokit, but still functional for basic API access[5].
- **Raw HTTP Requests**: You can use `node-fetch` or `axios` to call the GitHub API directly, but you’ll need to handle authentication, pagination, and error handling yourself[3]. Octokit abstracts all of this for you.
## Summary Table
| Library | Language | API Coverage | Maintained | TypeScript | Docs/Support |
| node-github | Node.js | Full | No | No | Limited |
| Raw HTTP | Node.js | Full (manual)| N/A | N/A | N/A |
**Recommendation:** Use Octokit for all GitHub API interactions in your Node.js project. It’s the official, most robust, and best-supported option for your use case[1][2].
## 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**
| 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].
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 |
query: "do we need to add new commands or can we just weaponize the gh cli tool"
date: 2025-08-01
time: 2:27:52 p.m.
timestamp: 2025-08-01T11:27:52.249Z
exchanges: 3
---
# Research Session
## Initial Query
**Question:** do we need to add new commands or can we just weaponize the gh cli tool
**Response:**
For the implementation of the `task-master git` command suite to automate git workflows (Task 97), it is possible to leverage the existing **GitHub CLI (`gh`) tool** rather than creating entirely new git commands from scratch. The GitHub CLI provides a rich set of commands that cover many GitHub-related operations such as branch management, pull request handling, workflow triggering, and release management, which can be scripted and integrated into your CLI tool[1][2][3][4].
### Key Points Supporting Weaponizing GitHub CLI:
- **Comprehensive GitHub Operations**: The `gh` CLI supports creating branches, managing pull requests, releases, tags, and even triggering and monitoring GitHub Actions workflows. This aligns well with the requirements of automated branch management, commit generation, and PR description generation in Task 97[1][3].
- **Scripting and Automation Friendly**: GitHub CLI commands can be scripted and integrated into custom workflows or CLI tools. You can create aliases or wrap `gh` commands inside your own CLI commands to provide a seamless user experience while relying on the battle-tested GitHub CLI for underlying operations[1][3].
- **Authentication and Permissions**: `gh` uses environment variables like `GH_TOKEN` or `GITHUB_TOKEN` for authentication, which can be securely managed in CI/CD pipelines or local environments. This simplifies integration without needing to implement custom authentication logic[3][4].
- **Extensibility**: If some specific git workflow features are not directly supported by `gh`, you can extend it with custom scripts or combine it with native git commands. This hybrid approach reduces the need to reinvent core git operations while allowing customization[1].
### Considerations for Your Project:
- Since Task 97 requires **automated branch management** (branch creation, validation, switching, cleanup), **intelligent commit generation**, and **PR description generation**, you can implement these by invoking `gh` commands programmatically within your `task-master git` commands.
- For example, branch creation and switching can be done with native git commands wrapped in your CLI, while PR creation and management can be handled via `gh pr create`, `gh pr merge`, etc.
- You may still need to implement some **custom logic** for commit type detection, branch name validation, and PR description generation based on your task metadata, but the underlying git and GitHub operations can be delegated to `gh`.
- This approach aligns with your existing CLI foundation (Task 2) and leverages a well-supported tool, reducing development effort and increasing reliability.
### Summary
You **do not necessarily need to add entirely new git commands** for Task 97. Instead, you can **weaponize the GitHub CLI (`gh`) tool** by wrapping and scripting its commands within your `task-master git` command suite. This will allow you to automate git workflows efficiently, maintain consistency, and leverage GitHub’s API capabilities without reinventing the wheel[1][2][3][4].
If there are gaps in `gh` functionality for your specific workflow needs, you can supplement with native git commands or custom scripts, but the core git and GitHub operations should be handled by `gh` for best results.
---
## Follow-up 1
**Question:** how does this relate to git worktrees? i hear that they get super complicated when trying to implement them.
**Response:**
Git worktrees allow you to have multiple working directories attached to the same Git repository, each checked out to different branches simultaneously. This enables parallel development workflows without the overhead of cloning the repository multiple times or constantly switching branches in a single working directory[2][3].
However, **implementing or managing git worktrees can get complicated** for several reasons:
- **Complexity for users and tooling:** Managing multiple active worktrees requires careful tracking of which directory corresponds to which branch. This can be confusing and error-prone, especially for novices or when many worktrees are in use simultaneously. Mistakes like committing to the wrong branch or working in the wrong directory are common risks[1].
- **Maintenance overhead:** Worktrees accumulate over time and need to be pruned or cleaned up regularly (`git worktree prune`) to avoid clutter and potential confusion. This adds an extra maintenance step to the workflow[1].
- **Syncing and update challenges:** Each worktree is a separate checkout and can become outdated if not regularly updated from the main repository. This can lead to merge conflicts or redundant work if branches diverge significantly[1].
- **Tooling and integration limitations:** Not all Git tools, scripts, or GUIs fully support worktrees or are optimized for them. This can cause inconsistencies or require additional custom tooling to manage worktrees effectively[1].
- **Performance considerations:** Managing multiple worktrees simultaneously can have performance implications, especially in very large repositories, due to the overhead of maintaining multiple checkouts and metadata[1].
In the context of your project, which involves automating git workflows and possibly wrapping or extending git/GitHub CLI commands, these complexities imply:
- If you consider supporting git worktrees in your `task-master git` command suite, you will need to handle the complexity of managing multiple directories and branches carefully.
- You might need to implement additional logic or tooling to track and manage worktrees, avoid user confusion, and ensure synchronization between them.
- Since your project already plans to leverage the GitHub CLI (`gh`) and native git commands, you could integrate worktree commands (`git worktree add`, `git worktree remove`, `git worktree list`) but should be prepared for the added complexity in workflow management and user documentation.
- Custom wrappers or managers (like the one described in [3]) can help reduce friction by automating worktree creation, switching, and cleanup, which might be a useful approach to consider.
Overall, **git worktrees provide powerful parallel branch management but introduce complexity in implementation and user experience** that must be carefully managed through tooling, automation, and clear documentation[1][3][4].
---
**Summary Table of Git Worktree Challenges and Considerations**
| Aspect | Description | Implication for Project |
| User Complexity | Confusing multiple directories and branches | Need clear UI/UX and safeguards |
| Maintenance Overhead | Requires pruning and cleanup of stale worktrees | Automate cleanup or provide commands |
| Syncing Issues | Worktrees can become outdated or diverge | Implement update checks and sync workflows |
| Tooling Support | Limited support in some Git tools and GUIs | May require custom tooling or wrappers |
| Performance | Overhead in large repos with many worktrees | Monitor and optimize performance |
| Workflow Automation | Manual worktree management is tedious | Build custom managers or wrappers to simplify usage |
---
Given your project’s focus on automating git workflows and leveraging existing CLI tools, **implementing git worktree support is feasible but will require careful design to handle these complexities effectively**. You may want to start with basic worktree commands and incrementally add automation and safeguards as needed.
---
## Follow-up 2
**Question:** since we already have a way to have separated task lists per branch, couldn't we do the same thing for worktrees? each taskmaster list (tag) would have its own worktree based on the name of the tag?
**Response:**
Yes, you can apply a similar approach used for separated task lists per branch to git worktrees by associating each taskmaster list (tag) with its own git worktree named after the tag. This means each tag would correspond to a dedicated worktree directory checked out to a branch or commit related to that tag, enabling isolated parallel work environments for each task list.
### How This Maps to Git Worktrees
- **Git worktrees** allow multiple working directories linked to the same repository, each checked out to a different branch or commit[1][2]. This lets you work on multiple branches simultaneously without switching contexts in a single directory.
- When you create a worktree with `git worktree add <path> [<branch>]`, Git creates a new linked working tree at `<path>`, optionally checking out a specified branch or creating a new one[1][2]. Naming the worktree directory after the tag (taskmaster list) is straightforward and semantically clear.
- This setup mirrors your existing branch-based task list separation but extends it to physical directories, which can improve workflow isolation and reduce context switching.
### Benefits for Your Project
- **Isolated environments per task list/tag:** Each tag’s worktree can have its own checked-out branch, allowing independent development, testing, or review without interference.
- **Parallel workflows:** Developers can switch between worktrees (directories) instead of switching branches in one directory, reducing errors and improving productivity.
- **Automation potential:** Your `task-master git` commands can automate creating, switching, and cleaning up these worktrees based on tags, similar to how you manage branches and task lists.
### Challenges and Considerations
- **Complexity in management:** Git worktrees add complexity in tracking multiple directories and ensuring users operate in the correct one[1]. Your CLI should provide clear commands and feedback to avoid confusion.
- **Maintenance overhead:** Worktrees need pruning and cleanup (`git worktree prune` or `git worktree remove`) to avoid clutter[1]. Automating cleanup in your tool would be beneficial.
- **Syncing and updates:** Each worktree is a separate checkout and can become outdated. Your automation should include commands to update or rebase worktrees as needed.
- **Tooling support:** Not all Git tools or scripts fully support worktrees, so your CLI wrappers should handle edge cases and provide a consistent experience[1][3].
### Practical Implementation Ideas
- When a new tag (taskmaster list) is created, run `git worktree add` to create a new worktree directory named after the tag.
- Store metadata linking tags to worktree paths in your taskmaster configuration to track and manage them.
- Provide commands like `task-master worktree list`, `task-master worktree add <tag>`, and `task-master worktree remove <tag>` to manage these worktrees.
- Integrate with GitHub CLI (`gh`) and native git commands to automate branch creation, PR handling, and syncing within each worktree.
- Consider inspiration from existing tools like [wt](https://github.com/taecontrol/wt) that automate worktree environment setup and teardown[3].
### Summary
Using git worktrees per taskmaster tag is a feasible and potentially powerful extension of your current branch-based task list separation. It offers isolated, parallel working directories aligned with your tags, improving workflow clarity and reducing branch-switching overhead. However, it requires careful tooling and automation to manage complexity, maintenance, and synchronization effectively. Given your project’s focus on automating git workflows and leveraging CLI tools, implementing this feature incrementally with robust user feedback and cleanup commands would be a practical approach.
# 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
Create a TypeScript package named `tm-core` at `packages/tm-core` that implements parse-prd functionality using class-based architecture similar to the existing AI providers pattern.
## Design Patterns & Architecture
### Patterns to Apply
1. **Factory Pattern**: Use for `ProviderFactory` to create AI provider instances
2. **Strategy Pattern**: Use for `IAIProvider` implementations and `IStorage` implementations
3. **Facade Pattern**: Use for `TaskMasterCore` as the main API entry point
4. **Template Method Pattern**: Use for `BaseProvider` abstract class
5. **Dependency Injection**: Use throughout for testability (pass dependencies via constructor)
6. **Repository Pattern**: Use for `FileStorage` to abstract data persistence
"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."
"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."
"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."
"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."
"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."
"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."
"expansionPrompt":"Expand task 24 'Implement AI-Powered Test Generation Command' into 6 subtasks, focusing on: 1) Command structure implementation, 2) AI prompt engineering for test generation, 3) Test file generation and output, 4) Framework-specific template implementation, 5) MCP tool integration, and 6) Documentation and help system integration. Include detailed implementation steps, dependencies, and testing approaches for each subtask.",
"reasoning":"This task has high complexity due to several challenging aspects: 1) AI integration requiring sophisticated prompt engineering, 2) Test generation across multiple frameworks, 3) File system operations with proper error handling, 4) MCP tool integration, 5) Complex configuration requirements, and 6) Framework-specific template generation. The task already has 5 subtasks but could benefit from reorganization based on the updated implementation details in the info blocks, particularly around framework support and configuration."
"expansionPrompt":"Break down the TIL Core implementation into distinct components: hook registration system, task lifecycle management, event coordination, state persistence layer, and configuration validation. Each subtask should focus on a specific architectural component with clear interfaces and testable boundaries.",
"reasoning":"This is a foundational component with multiple complex subsystems including event-driven architecture, API integration, state management, and configuration validation. The existing 5 subtasks are well-structured and appropriately sized."
},
{
"taskId":2,
"taskTitle":"Develop Dependency Monitor with Taskmaster MCP Integration",
"complexityScore":7,
"recommendedSubtasks":4,
"expansionPrompt":"Divide the dependency monitor into: dependency graph data structure implementation, circular dependency detection algorithm, Taskmaster MCP integration layer, and real-time notification system. Focus on performance optimization for large graphs and efficient caching strategies.",
"reasoning":"Complex graph algorithms and real-time monitoring require careful implementation. The task involves sophisticated data structures, algorithm design, and API integration with performance constraints."
},
{
"taskId":3,
"taskTitle":"Build Execution Manager with Priority Queue and Parallel Execution",
"complexityScore":8,
"recommendedSubtasks":5,
"expansionPrompt":"Structure the execution manager into: priority queue implementation, resource conflict detection system, parallel execution coordinator, timeout and cancellation handler, and execution history persistence layer. Each component should handle specific aspects of concurrent task management.",
"reasoning":"Managing concurrent execution with resource conflicts, priority scheduling, and persistence is highly complex. Requires careful synchronization, error handling, and performance optimization."
},
{
"taskId":4,
"taskTitle":"Implement Safety Manager with Configurable Constraints and Emergency Controls",
"complexityScore":7,
"recommendedSubtasks":4,
"expansionPrompt":"Break down into: constraint validation engine, emergency control system (stop/pause), user approval workflow implementation, and safety monitoring/audit logging. Each subtask should address specific safety aspects with fail-safe mechanisms.",
"reasoning":"Safety systems require careful design with multiple fail-safes. The task involves validation logic, real-time controls, workflow management, and comprehensive logging."
},
{
"taskId":5,
"taskTitle":"Develop Event-Based Hook Processor",
"complexityScore":6,
"recommendedSubtasks":4,
"expansionPrompt":"Organize into: file system event integration, Git/VCS event listeners, build system event connectors, and event filtering/debouncing mechanism. Focus on modular event source integration with configurable processing pipelines.",
"reasoning":"While conceptually straightforward, integrating multiple event sources with proper filtering and performance optimization requires careful implementation. Each event source has unique characteristics."
},
{
"taskId":6,
"taskTitle":"Implement Prompt-Based Hook Processor with AI Integration",
"complexityScore":7,
"recommendedSubtasks":4,
"expansionPrompt":"Divide into: prompt interception mechanism, NLP-based task suggestion engine, context injection system, and conversation-based status updater. Each component should handle specific aspects of AI conversation integration.",
"reasoning":"AI integration with prompt analysis and dynamic context injection is complex. Requires understanding of conversation flow, relevance scoring, and seamless integration with existing systems."
},
{
"taskId":7,
"taskTitle":"Create Update-Based Hook Processor for Automatic Progress Tracking",
"complexityScore":6,
"recommendedSubtasks":4,
"expansionPrompt":"Structure as: code change monitor, acceptance criteria validator, dependency update propagator, and conflict detection/resolution system. Focus on accurate progress tracking and automated validation logic.",
"reasoning":"Automatic progress tracking requires integration with version control and intelligent analysis of code changes. Conflict detection and dependency propagation add complexity."
},
{
"taskId":8,
"taskTitle":"Develop Real-Time Automation Dashboard and User Controls",
"complexityScore":7,
"recommendedSubtasks":5,
"expansionPrompt":"Break down into: WebSocket real-time communication layer, interactive dependency graph visualization, task queue and status displays, user control interfaces, and analytics/charting components. Each UI component should be modular and reusable.",
"reasoning":"Building a responsive real-time dashboard with complex visualizations and interactive controls is challenging. Requires careful state management, performance optimization, and user experience design."
},
{
"taskId":9,
"taskTitle":"Integrate Kiro IDE and Taskmaster MCP with Core Services",
"complexityScore":8,
"recommendedSubtasks":4,
"expansionPrompt":"Organize into: KiroHookAdapter implementation, TaskmasterMCPAdapter development, error handling and retry logic layer, and IDE UI component integration. Focus on robust adapter patterns and comprehensive error recovery.",
"reasoning":"End-to-end integration of multiple systems with different architectures is highly complex. Requires careful adapter design, extensive error handling, and thorough testing across all integration points."
},
{
"taskId":10,
"taskTitle":"Implement Configuration Management and Safety Profiles",
"complexityScore":6,
"recommendedSubtasks":4,
"expansionPrompt":"Divide into: visual configuration editor UI, JSON Schema validation engine, import/export functionality, and version control integration. Each component should provide intuitive configuration management with robust validation.",
"reasoning":"While technically less complex than core systems, building an intuitive configuration editor with validation, versioning, and import/export requires careful UI/UX design and robust data handling."
"taskTitle":"Create AI Provider Base Architecture",
"complexityScore":7,
"recommendedSubtasks":5,
"expansionPrompt":"Break down the implementation of BaseProvider abstract TypeScript class into subtasks focusing on: 1) Converting existing JavaScript base-provider.js to TypeScript with proper interface definitions, 2) Implementing the Template Method pattern with abstract methods, 3) Adding comprehensive error handling and retry logic with exponential backoff, 4) Creating proper TypeScript types for all method signatures and options, 5) Setting up comprehensive unit tests with MockProvider. Consider that the existing codebase uses JavaScript ES modules and Vercel AI SDK, so the TypeScript implementation needs to maintain compatibility while adding type safety.",
"reasoning":"This task requires significant architectural work including converting existing JavaScript code to TypeScript, creating new interfaces, implementing design patterns, and ensuring backward compatibility. The existing base-provider.js already implements a sophisticated provider pattern using Vercel AI SDK, so the TypeScript conversion needs careful consideration of type definitions and maintaining existing functionality."
},
{
"taskId":119,
"taskTitle":"Implement Provider Factory with Dynamic Imports",
"complexityScore":5,
"recommendedSubtasks":5,
"expansionPrompt":"Break down the Provider Factory implementation into: 1) Creating the ProviderFactory class structure with proper TypeScript typing, 2) Implementing the switch statement for provider selection logic, 3) Adding dynamic imports for each provider to enable tree-shaking, 4) Handling provider instantiation with configuration passing, 5) Implementing comprehensive error handling for module loading failures. Note that the existing codebase already has a provider selection mechanism in the JavaScript files, so ensure the factory pattern integrates smoothly with existing infrastructure.",
"reasoning":"This is a moderate complexity task that involves creating a factory pattern with dynamic imports. The existing codebase already has provider management logic, so the main complexity is in creating a clean TypeScript implementation with proper dynamic imports while maintaining compatibility with the existing JavaScript module system."
},
{
"taskId":120,
"taskTitle":"Implement Anthropic Provider",
"complexityScore":6,
"recommendedSubtasks":5,
"expansionPrompt":"Implement the AnthropicProvider class in stages: 1) Set up the class structure extending BaseProvider with proper TypeScript imports and type definitions, 2) Implement constructor with Anthropic SDK client initialization and configuration handling, 3) Implement generateCompletion method with proper message format transformation and error handling, 4) Add token calculation methods and utility functions (getName, getModel, getDefaultModel), 5) Implement comprehensive error handling with custom error wrapping and type exports. The existing anthropic.js provider can serve as a reference but needs to be reimplemented to extend the new TypeScript BaseProvider.",
"reasoning":"This task involves integrating with an external SDK (@anthropic-ai/sdk) and implementing all abstract methods from BaseProvider. The existing JavaScript implementation provides a good reference, but the TypeScript version needs proper type definitions, error handling, and must work with the new abstract base class architecture."
},
{
"taskId":121,
"taskTitle":"Create Prompt Builder and Task Parser",
"complexityScore":8,
"recommendedSubtasks":5,
"expansionPrompt":"Implement PromptBuilder and TaskParser with focus on: 1) Creating PromptBuilder class with template methods for building structured prompts with JSON format instructions, 2) Implementing TaskParser class structure with dependency injection of IAIProvider and IConfiguration, 3) Implementing parsePRD method with file reading, prompt generation, and AI provider integration, 4) Adding task enrichment logic with metadata, validation, and structure verification, 5) Implementing comprehensive error handling for all failure scenarios including file I/O, AI provider errors, and JSON parsing. The existing parse-prd.js provides complex logic that needs to be reimplemented with proper TypeScript types and cleaner architecture.",
"reasoning":"This is a complex task that involves multiple components working together: file I/O, AI provider integration, JSON parsing, and data validation. The existing parse-prd.js implementation is quite sophisticated with Zod schemas and complex task processing logic that needs to be reimplemented in TypeScript with proper separation of concerns."
},
{
"taskId":122,
"taskTitle":"Implement Configuration Management",
"complexityScore":6,
"recommendedSubtasks":5,
"expansionPrompt":"Create ConfigManager implementation focusing on: 1) Setting up Zod validation schema that matches the IConfiguration interface structure, 2) Implementing ConfigManager constructor with default values merging and storage initialization, 3) Creating validate method with Zod schema parsing and user-friendly error transformation, 4) Implementing type-safe get method using TypeScript generics and keyof operator, 5) Adding getAll method and ensuring proper immutability and module exports. The existing config-manager.js has complex configuration loading logic that can inform the TypeScript implementation but needs cleaner architecture.",
"reasoning":"This task involves creating a configuration management system with validation using Zod. The existing JavaScript config-manager.js is quite complex with multiple configuration sources, defaults, and validation logic. The TypeScript version needs to provide a cleaner API while maintaining the flexibility of the current system."
},
{
"taskId":123,
"taskTitle":"Create Utility Functions and Error Handling",
"complexityScore":4,
"recommendedSubtasks":5,
"expansionPrompt":"Implement utilities and error handling in stages: 1) Create ID generation module with generateTaskId and generateSubtaskId functions using proper random generation, 2) Implement base TaskMasterError class extending Error with proper TypeScript typing, 3) Add error sanitization methods to prevent sensitive data exposure in production, 4) Implement development-only logging with environment detection, 5) Create specialized error subclasses (FileNotFoundError, ParseError, ValidationError, APIError) with appropriate error codes and formatting.",
"reasoning":"This is a relatively straightforward task involving utility functions and error class hierarchies. The main complexity is in ensuring proper error sanitization for production use and creating a well-structured error hierarchy that can be used throughout the application."
},
{
"taskId":124,
"taskTitle":"Implement TaskMasterCore Facade",
"complexityScore":7,
"recommendedSubtasks":5,
"expansionPrompt":"Build TaskMasterCore facade implementation: 1) Create class structure with proper TypeScript imports and type definitions for all subsystem interfaces, 2) Implement initialize method for lazy loading AI provider and parser instances based on configuration, 3) Create parsePRD method that coordinates parser, AI provider, and storage subsystems, 4) Implement getTasks and other facade methods for task retrieval and management, 5) Create createTaskMaster factory function and set up all module exports including type re-exports. Ensure proper ESM compatibility with .js extensions in imports.",
"reasoning":"This is a complex integration task that brings together all the other components into a cohesive facade. It requires understanding of the facade pattern, proper dependency management, lazy initialization, and careful module export structure for the public API."
},
{
"taskId":125,
"taskTitle":"Create Placeholder Providers and Complete Testing",
"complexityScore":5,
"recommendedSubtasks":5,
"expansionPrompt":"Complete the implementation with placeholders and testing: 1) Create OpenAIProvider placeholder class extending BaseProvider with 'not yet implemented' errors, 2) Create GoogleProvider placeholder class with similar structure, 3) Implement MockProvider in tests/mocks directory with configurable responses and behavior simulation, 4) Write comprehensive unit tests for TaskParser covering all methods and edge cases, 5) Create integration tests for the complete parse-prd workflow ensuring 80% code coverage. Follow kebab-case naming convention for test files.",
"reasoning":"This task involves creating placeholder implementations and a comprehensive test suite. While the placeholder providers are simple, creating a good MockProvider and comprehensive tests requires understanding the entire system architecture and ensuring all edge cases are covered."
"taskTitle":"Create AI Provider Base Architecture",
"complexityScore":4,
"recommendedSubtasks":5,
"expansionPrompt":"Break down the conversion of base-provider.js to TypeScript BaseProvider class: 1) Convert to TypeScript and define IAIProvider interface, 2) Implement abstract class with core properties, 3) Define abstract methods and Template Method pattern, 4) Add retry logic with exponential backoff, 5) Implement validation and logging. Focus on maintaining compatibility with existing provider pattern while adding type safety.",
"reasoning":"The codebase already has a well-established BaseAIProvider class in JavaScript. Converting to TypeScript mainly involves adding type definitions and ensuring the existing pattern is preserved. The complexity is moderate because the pattern is already proven in the codebase."
},
{
"taskId":119,
"taskTitle":"Implement Provider Factory with Dynamic Imports",
"complexityScore":3,
"recommendedSubtasks":5,
"expansionPrompt":"Create ProviderFactory implementation: 1) Set up class structure and types, 2) Implement provider selection switch statement, 3) Add dynamic imports for tree-shaking, 4) Handle provider instantiation with config, 5) Add comprehensive error handling. The existing PROVIDERS registry pattern should guide the implementation.",
"reasoning":"The codebase already uses a dual registry pattern (static PROVIDERS and dynamic ProviderRegistry). Creating a factory is straightforward as the provider registration patterns are well-established. Dynamic imports are already used in the codebase."
},
{
"taskId":120,
"taskTitle":"Implement Anthropic Provider",
"complexityScore":3,
"recommendedSubtasks":5,
"expansionPrompt":"Implement AnthropicProvider following existing patterns: 1) Create class structure with imports, 2) Implement constructor and client initialization, 3) Add generateCompletion with Claude API integration, 4) Implement token calculation and utility methods, 5) Add error handling and exports. Use the existing anthropic.js provider as reference.",
"reasoning":"AnthropicProvider already exists in the codebase with full implementation. This task essentially involves adapting the existing implementation to match the new TypeScript architecture, making it relatively straightforward."
},
{
"taskId":121,
"taskTitle":"Create Prompt Builder and Task Parser",
"complexityScore":6,
"recommendedSubtasks":5,
"expansionPrompt":"Build prompt system and parser: 1) Create PromptBuilder with template methods, 2) Implement TaskParser with dependency injection, 3) Add parsePRD core logic with file reading, 4) Implement task enrichment and metadata, 5) Add comprehensive error handling. Leverage the existing prompt management system in src/prompts/.",
"reasoning":"While the codebase has a sophisticated prompt management system, creating a new PromptBuilder and TaskParser requires understanding the existing prompt templates, JSON schema validation, and integration with the AI provider system. The task involves significant new code."
},
{
"taskId":122,
"taskTitle":"Implement Configuration Management",
"complexityScore":5,
"recommendedSubtasks":5,
"expansionPrompt":"Create ConfigManager with validation: 1) Define Zod schema for IConfiguration, 2) Implement constructor with defaults, 3) Add validate method with error handling, 4) Create type-safe get method with generics, 5) Implement getAll and finalize exports. Reference existing config-manager.js for patterns.",
"reasoning":"The codebase has an existing config-manager.js with sophisticated configuration handling. Adding Zod validation and TypeScript generics adds complexity, but the existing patterns provide a solid foundation."
},
{
"taskId":123,
"taskTitle":"Create Utility Functions and Error Handling",
"complexityScore":2,
"recommendedSubtasks":5,
"expansionPrompt":"Implement utilities and error handling: 1) Create ID generation module with unique formats, 2) Build TaskMasterError base class, 3) Add error sanitization for security, 4) Implement development-only logging, 5) Create specialized error subclasses. Keep implementation simple and focused.",
"reasoning":"This is a straightforward utility implementation task. The codebase already has error handling patterns, and ID generation is a simple algorithmic task. The main work is creating clean, reusable utilities."
},
{
"taskId":124,
"taskTitle":"Implement TaskMasterCore Facade",
"complexityScore":7,
"recommendedSubtasks":5,
"expansionPrompt":"Create main facade class: 1) Set up TaskMasterCore structure with imports, 2) Implement lazy initialization logic, 3) Add parsePRD coordination method, 4) Implement getTasks and other facade methods, 5) Create factory function and exports. This ties together all other components into a cohesive API.",
"reasoning":"This is the most complex task as it requires understanding and integrating all other components. The facade must coordinate between configuration, providers, storage, and parsing while maintaining a clean API. It's the architectural keystone of the system."
},
{
"taskId":125,
"taskTitle":"Create Placeholder Providers and Complete Testing",
"complexityScore":5,
"recommendedSubtasks":5,
"expansionPrompt":"Implement testing infrastructure: 1) Create OpenAIProvider placeholder, 2) Create GoogleProvider placeholder, 3) Build MockProvider for testing, 4) Write TaskParser unit tests, 5) Create integration tests for parse-prd flow. Follow the existing test patterns in tests/ directory.",
"reasoning":"While creating placeholder providers is simple, the testing infrastructure requires understanding Jest with ES modules, mocking patterns, and comprehensive test coverage. The existing test structure provides good examples to follow."
}
]
}
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