refactor-safely
FeaturedPlan and execute safe refactoring using dependency analysis
Code & Development 27,148 stars
2513 forks Updated today MIT
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Skill Content
## Refactor Safely
Use the knowledge graph to plan and execute refactoring with confidence.
### Steps
1. Use `refactor_tool` with mode="suggest" for community-driven refactoring suggestions.
2. Use `refactor_tool` with mode="dead_code" to find unreferenced code.
3. For renames, use `refactor_tool` with mode="rename" to preview all affected locations.
4. Use `apply_refactor_tool` with the refactor_id to apply renames.
5. After changes, run `detect_changes_tool` to verify the refactoring impact.
### Safety Checks
- Always preview before applying (rename mode gives you an edit list).
- Check `get_impact_radius_tool` before major refactors.
- Use `get_affected_flows_tool` to ensure no critical paths are broken.
- Run `find_large_functions` to identify decomposition targets.
## Token Efficiency Rules
- ALWAYS start with `get_minimal_context(task="<your task>")` before any other graph tool.
- Use `detail_level="minimal"` on all calls. Only escalate to "standard" when minimal is insufficient.
- Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.
Details
- Author
- tirth8205
- Repository
- tirth8205/code-review-graph
- Created
- 5 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
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