File Operations
Analyze files and retrieve metadata using Claude's native tools without modifying files.
When to Use
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"analyze [file]"
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"get file info for [file]"
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"how many lines in [file]"
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"compare [file1] and [file2]"
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"file statistics"
Core Operations
File Size & Metadata
stat -f "%z bytes, modified %Sm" [file_path] # Single file ls -lh [directory] # Multiple files du -h [file_path] # Human-readable size
Line Counts
wc -l [file_path] # Single file wc -l [file1] [file2] # Multiple files find [dir] -name "*.py" | xargs wc -l # Directory total
Content Analysis
Use Read to analyze structure, then count functions/classes/imports.
Pattern Search
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
Find Files
Glob(pattern="**/*.py")
Workflow Examples
Comprehensive File Analysis
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Get size/mod time: stat -f "%z bytes, modified %Sm" file.py
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Count lines: wc -l file.py
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Read file: Read(file_path="file.py")
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Count functions: Grep(pattern="^def ", output_mode="count")
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Count classes: Grep(pattern="^class ", output_mode="count")
Compare File Sizes
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Find files: Glob(pattern="src/**/*.py")
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Get sizes: ls -lh src/**/*.py
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Total size: du -sh src/*.py
Code Quality Metrics
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Total lines: find . -name "*.py" | xargs wc -l
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Test files: find . -name "test_*.py" | wc -l
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TODOs: Grep(pattern="TODO|FIXME|HACK", output_mode="count")
Find Largest Files
find . -type f -not -path "./node_modules/*" -exec du -h {} + | sort -rh | head -20
Best Practices
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Non-destructive: Use Read/stat/wc, never modify
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Efficient: Read small files fully, use Grep for large files
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Context-aware: Compare to project averages, suggest optimizations
Integration
Works with:
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code-auditor: Comprehensive analysis
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code-transfer: After identifying large files
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codebase-documenter: Understanding file purposes