Refactors the `expandTask` and `expandAllTasks` features to complete subtask 61.38 and enhance functionality based on subtask 61.37's refactor.
Key Changes:
- **Additive Expansion (`expandTask`, `expandAllTasks`):**
- Modified `expandTask` default behavior to append newly generated subtasks to any existing ones.
- Added a `force` flag (passed down from CLI/MCP via `--force` option/parameter) to `expandTask` and `expandAllTasks`. When `force` is true, existing subtasks are cleared before generating new ones.
- Updated relevant CLI command (`expand`), MCP tool (`expand_task`, `expand_all`), and direct function wrappers (`expandTaskDirect`, `expandAllTasksDirect`) to handle and pass the `force` flag.
- **Complexity Report Integration (`expandTask`):**
- `expandTask` now reads `scripts/task-complexity-report.json`.
- If an analysis entry exists for the target task:
- `recommendedSubtasks` is used to determine the number of subtasks to generate (unless `--num` is explicitly provided).
- `expansionPrompt` is used as the primary prompt content for the AI.
- `reasoning` is appended to any additional context provided.
- If no report entry exists or the report is missing, it falls back to default subtask count (from config) and standard prompt generation.
- **`expandAllTasks` Orchestration:**
- Refactored `expandAllTasks` to primarily iterate through eligible tasks (pending/in-progress, considering `force` flag and existing subtasks) and call the updated `expandTask` function for each.
- Removed redundant logic (like complexity reading or explicit subtask clearing) now handled within `expandTask`.
- Ensures correct context (`session`, `mcpLog`) and flags (`useResearch`, `force`) are passed down.
- **Configuration & Cleanup:**
- Updated `.cursor/mcp.json` with new Perplexity/Anthropic API keys (old ones invalidated).
- Completed refactoring of `expandTask` started in 61.37, confirming usage of `generateTextService` and appropriate prompts.
- **Task Management:**
- Marked subtask 61.37 as complete.
- Updated `.changeset/cuddly-zebras-matter.md` to reflect user-facing changes.
These changes finalize the refactoring of the task expansion features, making them more robust, configurable via complexity analysis, and aligned with the unified AI service architecture.
Changesets
This folder has been automatically generated by @changesets/cli, a build tool that works with multi-package repos or single-package repos to help version and publish code. Full documentation is available in the Changesets repository.
What are Changesets?
Changesets are a way to track changes to packages in your repository. Each changeset:
- Describes the changes you've made
- Specifies the type of version bump needed (patch, minor, or major)
- Connects these changes with release notes
- Automates the versioning and publishing process
How to Use Changesets in Task Master
2. Making Changes
- Create a new branch for your changes
- Make your code changes
- Write tests and ensure all tests pass
3. Creating a Changeset
After making changes, create a changeset by running:
npx changeset
This will:
- Walk you through a CLI to describe your changes
- Ask you to select impact level (patch, minor, major)
- Create a markdown file in the
.changesetdirectory
4. Impact Level Guidelines
When choosing the impact level for your changes:
- Patch: Bug fixes and minor changes that don't affect how users interact with the system
- Example: Fixing a typo in output text, optimizing code without changing behavior
- Minor: New features or enhancements that don't break existing functionality
- Example: Adding a new flag to an existing command, adding new task metadata fields
- Major: Breaking changes that require users to update their usage
- Example: Renaming a command, changing the format of the tasks.json file
5. Writing Good Changeset Descriptions
Your changeset description should:
- Be written for end-users, not developers
- Clearly explain what changed and why
- Include any migration steps or backward compatibility notes
- Reference related issues or pull requests with
#issue-number
Examples:
# Good
Added new `--research` flag to the `expand` command that uses Perplexity AI
to provide research-backed task expansions. Requires PERPLEXITY_API_KEY
environment variable.
# Not Good
Fixed stuff and added new flag
6. Committing Your Changes
Commit both your code changes and the generated changeset file:
git add .
git commit -m "Add feature X with changeset"
git push
7. Pull Request Process
- Open a pull request
- Ensure CI passes
- Await code review
- Once approved and merged, your changeset will be used during the next release
Release Process (for Maintainers)
When it's time to make a release:
- Ensure all desired changesets are merged
- Run
npx changeset versionto update package versions and changelog - Review and commit the changes
- Run
npm publishto publish to npm
This can be automated through Github Actions
Common Issues and Solutions
- Merge Conflicts in Changeset Files: Resolve just like any other merge conflict
- Multiple Changes in One PR: Create multiple changesets if changes affect different areas
- Accidentally Committed Without Changeset: Create the changeset after the fact and commit it separately