// 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.
Execute 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.
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.
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.
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.
| name | file-operations |
| description | 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. |
Analyze files and retrieve metadata using Claude's native tools without modifying files.
stat -f "%z bytes, modified %Sm" [file_path] # Single file
ls -lh [directory] # Multiple files
du -h [file_path] # Human-readable size
wc -l [file_path] # Single file
wc -l [file1] [file2] # Multiple files
find [dir] -name "*.py" | xargs wc -l # Directory total
Use Read to analyze structure, then count functions/classes/imports.
Grep(pattern="^def ", output_mode="count", path="src/") # Count functions
Grep(pattern="TODO|FIXME", output_mode="content", -n=true) # Find TODOs
Grep(pattern="^import ", output_mode="count") # Count imports
Glob(pattern="**/*.py")
stat -f "%z bytes, modified %Sm" file.pywc -l file.pyRead(file_path="file.py")Grep(pattern="^def ", output_mode="count")Grep(pattern="^class ", output_mode="count")Glob(pattern="src/**/*.py")ls -lh src/**/*.pydu -sh src/*.pyfind . -name "*.py" | xargs wc -lfind . -name "test_*.py" | wc -lGrep(pattern="TODO|FIXME|HACK", output_mode="count")find . -type f -not -path "./node_modules/*" -exec du -h {} + | sort -rh | head -20
Works with: