Claude-skill-registry file-analysis

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/file-analysis" ~/.claude/skills/majiayu000-claude-skill-registry-file-analysis && rm -rf "$T"
manifest: skills/data/file-analysis/SKILL.md
source content

File Analysis

When to Use

  • Before architecture reviews to understand module boundaries and file organization.
  • When exploring unfamiliar codebases to map structure before making changes.
  • As input to scope estimation for refactoring or migration work.

Required TodoWrite Items

  1. file-analysis:root-identified
  2. file-analysis:structure-mapped
  3. file-analysis:patterns-detected
  4. file-analysis:hotspots-noted

Mark each item as complete as you finish the corresponding step.

Step 1: Identify Root (
file-analysis:root-identified
)

  • Confirm the analysis root directory with
    pwd
    .
  • Note any monorepo boundaries, workspace roots, or subproject paths.
  • Capture the project type (language, framework) from manifest files (
    package.json
    ,
    Cargo.toml
    ,
    pyproject.toml
    , etc.).

Step 2: Map Structure (
file-analysis:structure-mapped
)

  • Run
    tree -L 2 -d
    or
    find . -type d -maxdepth 2
    to capture the top-level directory layout.
  • Identify standard directories:
    src/
    ,
    lib/
    ,
    tests/
    ,
    docs/
    ,
    scripts/
    ,
    configs/
    .
  • Note any non-standard organization patterns that may affect downstream analysis.

Step 3: Detect Patterns (
file-analysis:patterns-detected
)

  • Use
    find . -name "*.ext" | wc -l
    to count files by extension.
  • Identify dominant languages and their file distributions.
  • Note configuration files, generated files, and vendored dependencies.
  • Run
    wc -l $(find . -name "*.py" -o -name "*.rs" | head -20)
    to sample file sizes.

Step 4: Note Hotspots (
file-analysis:hotspots-noted
)

  • Identify large files (potential "god objects"):
    find . -type f -exec wc -l {} + | sort -rn | head -10
    .
  • Flag deeply nested directories that may indicate complexity.
  • Note files with unusual naming conventions or placement.

Exit Criteria

  • TodoWrite
    items are completed with concrete observations.
  • Downstream workflows (architecture review, refactoring) have structural context.
  • File counts, directory layout, and hotspots are documented for reference.

Troubleshooting

Common Issues

Command not found Ensure all dependencies are installed and in PATH

Permission errors Check file permissions and run with appropriate privileges

Unexpected behavior Enable verbose logging with

--verbose
flag