refactor-safely

Featured

Plan and execute safe refactoring using dependency analysis

Code & Development 27,148 stars 2513 forks Updated today MIT

Install

View on GitHub

Quality Score: 91/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
55
Issue Health 10%
50
License 10%
100
Description 5%
100

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

Similar Skills

Semantically similar based on skill content — not just same category