code-refactor
# Code Refactor Skill This skill performs systematic code refactoring across multiple files by finding and replacing identifiers, patterns, and API calls. It intelligently switches to execution mode for 10 or more files to save tokens, otherwise using native grep and edit tools to locate all occurrences, verify changes in context, and replace them consistently while flagging breaking changes and suggesting test validation.
git clone --depth 1 https://github.com/mhattingpete/claude-skills-marketplace /tmp/code-refactor && cp -r /tmp/code-refactor/code-operations-plugin/skills/code-refactor ~/.claude/skills/code-refactorSKILL.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-execution` skill
**Execution example (50 files):**
```python
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
1. Find: `Grep(pattern="getUserData", output_mode="files_with_matches")`
2. Count: "Found 15 occurrences in 5 files"
3. Replace in each file with `replace_all=true`
4. Verify: Re-run Grep
5. Suggest: Run tests
### Replace Deprecated Pattern
1. Find: `Grep(pattern="\\bvar\\s+\\w+", output_mode="content", -n=true)`
2. Analyze: Check if reassigned (let) or constant (const)
3. Replace: `Edit(old_string="var count = 0", new_string="let count = 0")`
4. Verify: `npm run lint`
### Update API Calls
1. Find: `Grep(pattern="/api/auth/login", output_mode="content", -n=true)`
2. Replace: `Edit(old_string="'/api/auth/login'", new_string="'/api/v2/authentication/login'", replace_all=true)`
3. 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:**
1. Search → Find all
2. Analyze → Verify appropriate
3. Inform → Tell user scope
4. Execute → Make changes
5. Verify → Confirm applied
6. 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 occurrences
- `replace_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-insensitive
- `type="py"`: Filter by file type
## Integration
- **test-fixing**: Fix broken tests after refactoring
- **code-transfer**: Move refactored code
- **feature-planning**: Plan large refactoringsExecute Python code locally with marketplace API access for 90%+ token savings on bulk operations. Activates when user requests bulk operations (10+ files), complex multi-step workflows, iterative processing, or mentions efficiency/performance.
Transfer code between files with line-based precision. Use when users request copying code from one location to another, moving functions or classes between files, extracting code blocks, or inserting code at specific line numbers.
Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. Use when users request file information, statistics, or analysis without modifying files.
Generate multiple diverse solutions in parallel and select the best. Use for architecture decisions, code generation with multiple valid approaches, or creative tasks where exploring alternatives improves quality.
Break down feature requests into detailed, implementable plans with clear tasks. Use when user requests a new feature, enhancement, or complex change.
Stage, commit, and push git changes with conventional commit messages. Use when user wants to commit and push changes, mentions pushing to remote, or asks to save and push their work. Also activates when user says "push changes", "commit and push", "push this", "push to github", or similar git workflow requests.
Process and implement code review feedback systematically. Use when user provides reviewer comments, PR feedback, code review notes, or asks to implement suggestions from reviews.
Run tests and systematically fix all failing tests using smart error grouping. Use when user asks to fix failing tests, mentions test failures, runs test suite and failures occur, or requests to make tests pass.