code-refactor
Perform bulk code refactoring operations like renaming variables/functions across files, replacing patterns, and updating API calls. Use when users request renaming identifiers, replacing deprecated code patterns, updating method calls, or making consistent changes across multiple locations.
适合你,如果需要在多个文件中统一修改代码
/ 下载安装
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code
~/.claude/skills/(项目级 .claude/skills/)Codex CLI
~/.codex/skills/Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add mhattingpete/claude-skills-marketplace/code-refactor/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- mhattingpete/claude-skills-marketplace/code-refactor/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify mhattingpete/claude-skills-marketplace/code-refactor安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用
技能原文 SKILL.md
Code Refactor
Systematic code refactoring across files. Auto-switches to execution mode for 10+ files (90% token savings).
Mode Selection
- 1-9 files: Use native tools (Grep + Edit with replace_all)
- 10+ files: Automatically use
code-executionskill
Execution example (50 files):
from api.code_transform import rename_identifier
result = rename_identifier('.', 'oldName', 'newName', '**/*.py')
# Returns: {'files_modified': 50, 'total_replacements': 247}
# ~500 tokens vs ~25,000 tokens traditional
When to Use
- "rename [identifier] to [new_name]"
- "replace all [pattern] with [replacement]"
- "refactor to use [new_pattern]"
- "update all calls to [function/API]"
- "convert [old_pattern] to [new_pattern]"
Core Workflow (Native Mode)
1. Find All Occurrences
Grep(pattern="getUserData", output_mode="files_with_matches") # Find files Grep(pattern="getUserData", output_mode="content", -n=true, -B=2, -A=2) # Verify with context
2. Replace All Instances
Edit( file_path="src/api.js", old_string="getUserData", new_string="fetchUserData", replace_all=true )
3. Verify Changes
Grep(pattern="getUserData", output_mode="files_with_matches") # Should return none
Workflow Examples
Rename Function
- Find:
Grep(pattern="getUserData", output_mode="files_with_matches") - Count: "Found 15 occurrences in 5 files"
- Replace in each file with
replace_all=true - Verify: Re-run Grep
- Suggest: Run tests
Replace Deprecated Pattern
- Find:
Grep(pattern="\\bvar\\s+\\w+", output_mode="content", -n=true) - Analyze: Check if reassigned (let) or constant (const)
- Replace:
Edit(old_string="var count = 0", new_string="let count = 0") - Verify:
npm run lint
Update API Calls
- Find:
Grep(pattern="/api/auth/login", output_mode="content", -n=true) - Replace:
Edit(old_string="'/api/auth/login'", new_string="'/api/v2/authentication/login'", replace_all=true) - Test: Recommend integration tests
Best Practices
Planning:
- Find all instances first
- Review context of each match
- Inform user of scope
- Consider edge cases (strings, comments)
Safe Process:
- Search → Find all
- Analyze → Verify appropriate
- Inform → Tell user scope
- Execute → Make changes
- Verify → Confirm applied
- Test → Suggest running tests
Edge Cases:
- Strings/comments: Ask if should update
- Exported APIs: Warn of breaking changes
- Case sensitivity: Be explicit
Tool Reference
Edit with replace_all:
replace_all=true: Replace all occurrencesreplace_all=false: Replace only first (or fail if multiple)- Must match EXACTLY (whitespace, quotes)
Grep patterns:
-n=true: Show line numbers-B=N, -A=N: Context lines-i=true: Case-insensitivetype="py": Filter by file type
Integration
- test-fixing: Fix broken tests after refactoring
- code-transfer: Move refactored code
- feature-planning: Plan large refactorings
按 Apache-2.0 许可原样转载,未经改动 · 在 GitHub 查看 →
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