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refactor-safely

Plan refactoring with dependency analysis, which shows how code parts rely on each other. Find candidates and unreferenced code, preview and apply renames, and compare the resulting impact with the original plan.

中文简介正在准备中。当前显示英语简介。

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Plan and execute safe refactoring using dependency analysis

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适用场景

  • Finding refactoring candidates and unreferenced code
  • Previewing edits before applying a rename
  • Checking affected dependencies and execution paths
  • Comparing post-change impact with the refactoring plan

包含的文件(1)

  • SKILL.md1.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Refactor Safely

Plan a refactor from the dependency graph and apply renames from a preview.

Steps

  1. Call refactor_tool with mode="suggest" for refactoring candidates, or mode="dead_code" for unreferenced code.
  2. For a rename, call refactor_tool with mode="rename", old_name and new_name. Check the returned edit list before applying.
  3. Call apply_refactor_tool with the returned refactor_id to apply the rename.
  4. Before a large refactor, call get_impact_radius_tool and get_affected_flows_tool to see the dependents and critical paths involved.
  5. Call find_large_functions_tool to find functions worth splitting.
  6. After the change, call detect_changes_tool to confirm the impact matches the plan.

Token Efficiency Rules

  • Call get_minimal_context_tool(task="<your task>") before any other graph tool.
  • Pass detail_level="minimal" wherever a tool accepts it. Use "standard" only when minimal is not enough.
  • Prefer a targeted query_graph_tool call over a broad listing call.
  • Budget: about five tool calls and 800 tokens of graph output per task.
  • Read the implementation and its tests before changing code. The graph narrows scope; it does not replace the source.

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同一仓库的技能

Build or refresh a knowledge graph, a map of code relationships used for code review. Choose a full rebuild or an incremental update, then report the operation's status and summary.

中文简介正在准备中。当前显示英语简介。

  • Setting up the graph for a repository's first review
  • Refreshing the graph after switching branches
  • Updating review data after a large refactor
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中文简介正在准备中。当前显示英语简介。

  • Narrowing down code related to a bug
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中文简介正在准备中。当前显示英语简介。

  • Understanding the structure of an unfamiliar codebase
  • Finding functions and classes by name or keyword
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tirth8205/code-review-graph3.2万2026年10月16日 更新

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中文简介正在准备中。当前显示英语简介。

  • Prioritizing review findings by risk
  • Checking how changed functions affect other code
  • Identifying missing tests and proposing test cases
tirth8205/code-review-graph3.2万2026年10月16日 更新

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中文简介正在准备中。当前显示英语简介。

  • Reviewing changes against the previous commit
  • Checking how a change affects other functions
  • Finding missing tests for high-risk changes
tirth8205/code-review-graph3.2万2026年10月16日 更新

review-pr

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Review all changes in a pull request or branch against its base branch. Use a knowledge graph, a map of code relationships, to report affected files and functions, test coverage, API compatibility issues, and recommended actions.

中文简介正在准备中。当前显示英语简介。

  • Reviewing all commits in a pull request
  • Checking a branch's changes against its base
  • Finding callers missed by public API changes
tirth8205/code-review-graph3.2万2026年10月16日 更新

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