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Zhongwei Li
2025-11-30 08:57:15 +08:00
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# Commit
Commit changes to the repository.
## Rules
- Use English for commit messages except for specific terms that are better left untranslated.
- Follow the Conventional Commits specification.
- Use the format `type(scope): description` for commit messages.
- Use `fix`, `feat`, `chore`, `docs`, `style`, `refactor`, `test`, `perf`, and `build` as types.
- Use `scope` to indicate the area of the codebase affected by the change.
- Ensure that the commit message is clear and concise.
- Include relevant issue references in the commit message if applicable (e.g., `Fixes #123`).
- Avoid committing large changes in a single commit; break down into logical units.

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# Orchestrator
Split complex tasks into sequential steps, where each step can contain multiple parallel subtasks.
## Process
1. **Initial Analysis**
- First, analyze the entire task to understand scope and requirements
- Identify dependencies and execution order
- Plan sequential steps based on dependencies
2. **Step Planning**
- Break down into 2-4 sequential steps
- Each step can contain multiple parallel subtasks
- Define what context from previous steps is needed
3. **Step-by-Step Execution**
- Execute all subtasks within a step in parallel
- Wait for all subtasks in current step to complete
- Pass relevant results to next step
- Request concise summaries (100-200 words) from each subtask
4. **Step Review and Adaptation**
- After each step completion, review results
- Validate if remaining steps are still appropriate
- Adjust next steps based on discoveries
- Add, remove, or modify subtasks as needed
5. **Progressive Aggregation**
- Synthesize results from completed step
- Use synthesized results as context for next step
- Build comprehensive understanding progressively
- Maintain flexibility to adapt plan
## Example Usage
When given "analyze test lint and commit":
**Step 1: Initial Analysis** (1 subtask)
- Analyze project structure to understand test/lint setup
**Step 2: Quality Checks** (parallel subtasks)
- Run tests and capture results
- Run linting and type checking
- Check git status and changes
**Step 3: Fix Issues** (parallel subtasks, using Step 2 results)
- Fix linting errors found in Step 2
- Fix type errors found in Step 2
- Prepare commit message based on changes
_Review: If no errors found in Step 2, skip fixes and proceed to commit_
**Step 4: Final Validation** (parallel subtasks)
- Re-run tests to ensure fixes work
- Re-run lint to verify all issues resolved
- Create commit with verified changes
_Review: If Step 3 had no fixes, simplify to just creating commit_
## Key Benefits
- **Sequential Logic**: Steps execute in order, allowing later steps to use earlier results
- **Parallel Efficiency**: Within each step, independent tasks run simultaneously
- **Memory Optimization**: Each subtask gets minimal context, preventing overflow
- **Progressive Understanding**: Build knowledge incrementally across steps
- **Clear Dependencies**: Explicit flow from analysis → execution → validation
## Implementation Notes
- Always start with a single analysis task to understand the full scope
- Group related parallel tasks within the same step
- Pass only essential findings between steps (summaries, not full output)
- Use TodoWrite to track both steps and subtasks for visibility
- After each step, explicitly reconsider the plan:
- Are the next steps still relevant?
- Did we discover something that requires new tasks?
- Can we skip or simplify upcoming steps?
- Should we add new validation steps?
## Adaptive Planning Example
```
Initial Plan: Step 1 → Step 2 → Step 3 → Step 4
After Step 2: "No errors found in tests or linting"
Adapted Plan: Step 1 → Step 2 → Skip Step 3 → Simplified Step 4 (just commit)
After Step 2: "Found critical architectural issue"
Adapted Plan: Step 1 → Step 2 → New Step 2.5 (analyze architecture) → Modified Step 3
```

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# Refactoring Suggestions for Project
Review the structure and content of this project and provide specific refactoring suggestions. Pay attention to the following points when making your proposals:
1. **Code Readability**: Check whether the code is readable and easy to understand. Verify if variable names, function names, and class names are appropriate, and if comments are adequately provided.
2. **Code Reusability**: Consider whether there is duplicated code and if common processes can be consolidated into functions or classes.
3. **Performance**: Check for areas where code execution speed or memory usage can be improved.
4. **Test Coverage**: Verify whether unit tests and integration tests are sufficiently covered, and if any necessary tests are missing.