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OpenxIntelligenceOpenxIntelligence/Coding-Agent-Skills/file-operations/SKILL.md

file-operations

Skill4 starsChanged 25 days agoMITView on GitHub

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.

4 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 2 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use Read to analyze structure, then count functions/classes/imports.

    line 35
  2. Very specific:

    Non-destructive: Use Read/stat/wc, never modify

    line 75
  3. Distinctive:

    Efficient: Read small files fully, use Grep for large files

    line 76
  4. Distinctive:

    code-transfer: After identifying large files

    line 83

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

File Operations

Analyze files and retrieve metadata using Claude's native tools without modifying files.

When to Use

  • "analyze [file]"
  • "get file info for [file]"
  • "how many lines in [file]"
  • "compare [file1] and [file2]"
  • "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

  1. Get size/mod time: stat -f "%z bytes, modified %Sm" file.py
  2. Count lines: wc -l file.py
  3. Read file: Read(file_path="file.py")
  4. Count functions: Grep(pattern="^def ", output_mode="count")
  5. Count classes: Grep(pattern="^class ", output_mode="count")

Compare File Sizes

  1. Find files: Glob(pattern="src/**/*.py")
  2. Get sizes: ls -lh src/**/*.py
  3. Total size: du -sh src/*.py

Code Quality Metrics

  1. Total lines: find . -name "*.py" | xargs wc -l
  2. Test files: find . -name "test_*.py" | wc -l
  3. 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

  • Non-destructive: Use Read/stat/wc, never modify
  • Efficient: Read small files fully, use Grep for large files
  • Context-aware: Compare to project averages, suggest optimizations

Integration

Works with:

  • code-auditor: Comprehensive analysis
  • code-transfer: After identifying large files
  • codebase-documenter: Understanding file purposes

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