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refactor-cleaner重构清理器

Agent Skill

refactor-cleaner 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

815

周安装

35

GitHub Stars

公开资料未说明

下载量

286
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:refactor-cleaner(重构清理器)
来源仓库:https://github.com/carvalab/k-skills
仓库路径:skills/refactor-cleaner
安装命令:
npx skills add https://github.com/carvalab/k-skills --skill refactor-cleaner
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/carvalab/k-skills --skill refactor-cleaner

简介

用于查找、检索和筛选相关信息。refactor-cleaner 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合根据关键词快速定位候选结果,支持多种宿主环境。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装方式:通过 npx 从指定 GitHub 仓库添加技能。
  • 建议确认权限范围和维护状态后再使用。

SKILL.md

Refactor & Dead Code Cleaner

Identify and remove dead code, duplicates, and unused exports to keep the codebase lean and maintainable. Safety-first approach with comprehensive documentation.

Related Skills: - kavak-documentation - Query for Kavak-specific patterns that might look like dead code but are used dynamically - Use kavak-platform/platform_docs_search MCP tool to verify before removing Kavak SDK/platform code

Quick Start

Detect project type and run appropriate analysis:

Node/TypeScript:

npx knip                    # unused exports/files/deps
npx depcheck                # unused dependencies
npx ts-prune                # unused exports

Go:

go mod tidy                 # remove unused deps
deadcode ./...              # find unreachable code (golang.org/x/tools)
staticcheck ./...           # includes unused code detection

Python:

vulture .                   # find dead code
pip-autoremove              # unused dependencies

Java:

./mvnw dependency:analyze   # unused dependencies
# Use IDE or SpotBugs for dead code detection

Workflow

1. Analysis Phase

Run detection tools and categorize findings:

Risk LevelExamplesAction
SAFEUnused exports, unused depsRemove after grep verify
CAREFULDynamic imports possibleManual review required
RISKYPublic API, shared utilsDo not remove

2. Risk Assessment

For each item to remove:

  • Grep for all references (including string patterns)
  • Check for dynamic imports
  • Verify not part of public API
  • Review git history for context

3. Safe Removal Process

a) Start with SAFE items only
b) Remove one category at a time (this order matters — each step
   may reveal more dead code in the next category):
   1. Unused npm/go dependencies (safest, no code changes)
   2. Unused internal exports (removing these may make files unused)
   3. Unused files (now visible after export cleanup)
   4. Duplicate code (consolidate remaining logic)
c) Run tests after each batch
d) Commit each batch separately

4. Document Deletions

Update docs/DELETION_LOG.md after each session:

## [YYYY-MM-DD] Refactor Session

### Removed
- package-name - Reason
- src/unused-file.ts - Replaced by X

### Impact
- Files: -15, Deps: -5, Lines: -2,300

Safety Rules

Before removing ANYTHING:

  • Run detection tools
  • Grep for all references
  • Check dynamic imports
  • Run all tests
  • Create backup branch

After each removal:

  • Build succeeds
  • Tests pass
  • Commit changes
  • Update DELETION_LOG.md

When NOT to Use

  • During active feature development
  • Right before production deployment
  • Without proper test coverage
  • On code you don't understand

Error Recovery

# Immediate rollback if something breaks
git revert HEAD

# Reinstall deps and verify (by language)
# Node: npm install && npm run build && npm test
# Go:   go mod download && go build ./... && go test ./...
# Python: pip install -r requirements.txt && pytest
# Java: ./mvnw clean install

Then investigate: Was it a dynamic import/reflection? Update "DO NOT REMOVE" list.

References

ReferencePurpose
references/detection-tools.mdTool commands and usage
references/safety-checklist.mdDetailed safety procedures
references/deletion-log.mdLog format and examples
references/patterns.mdCommon dead code patterns
references/pr-template.mdPR template for cleanup

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

29.83%
按下载量换算85

Gemini CLI

19.94%
按下载量换算57

Antigravity

18.69%
按下载量换算53

windsurf

10.8%
按下载量换算31

trae

6.97%
按下载量换算20

Codex

3.58%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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