Agent Skills: Code Cleanup Skill

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UncategorizedID: wade56754/ai_ad_spend02/code-cleanup

Install this agent skill to your local

pnpm dlx add-skill https://github.com/wade56754/AI_ad_spend02/tree/HEAD/.claude/skills/code-cleanup

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.claude/skills/code-cleanup/SKILL.md

Skill Metadata

Name
code-cleanup
Description
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Code Cleanup Skill

Scan projects for redundant code and generate cleanup reports.

Quick Start

# Scan for dead code (unused imports, functions, variables)
python scripts/scan_dead_code.py backend/

# Scan for stale code (old TODOs, debug statements, commented code)
python scripts/scan_stale_code.py src/

# Check unused dependencies
python scripts/scan_unused_deps.py .

Scripts

| Script | Detects | Confidence | |--------|---------|------------| | scan_dead_code.py | Unused imports, functions, classes, variables | High | | scan_stale_code.py | Commented code, old TODOs, debug statements | Medium | | scan_unused_deps.py | Unused packages in requirements.txt/package.json | Low |

Usage

scan_dead_code.py

python scripts/scan_dead_code.py <dir> [--format json|text] [--ignore "test_*"]

Detects:

  • Unused imports (high confidence, safe to remove)
  • Unused functions/classes not starting with _ (medium confidence)
  • Unused top-level variables (medium confidence)

scan_stale_code.py

python scripts/scan_stale_code.py <dir> [--todo-days 90] [--no-debug]

Detects:

  • Commented-out code blocks
  • TODOs/FIXMEs older than N days (default: 90)
  • Debug statements: print(, console.log(, debugger, pdb

scan_unused_deps.py

python scripts/scan_unused_deps.py <dir> [--type python|node|all]

Checks:

  • requirements.txt vs actual imports
  • package.json dependencies vs actual imports

Output Format

All scripts output JSON by default:

{
  "target": "backend/",
  "issues": [
    {
      "type": "unused_import",
      "file": "services/user.py",
      "line": 3,
      "code": "import os",
      "confidence": "high",
      "suggestion": "Remove unused import: os"
    }
  ],
  "summary": {
    "total": 15,
    "high": 10,
    "medium": 5,
    "low": 0
  }
}

Confidence Levels

| Level | Meaning | Action | |-------|---------|--------| | high | Definitely unused | Safe to remove | | medium | Likely unused | Review before removing | | low | Possibly unused | Manual inspection needed |

Cleanup Workflow

  1. Run scan scripts on target directory
  2. Review JSON output, filter by confidence
  3. For each issue: remove, keep, or defer
  4. Apply changes (Claude can help edit files)
  5. Run tests to verify nothing broke

Safety Notes

  • Scripts are read-only (scan only, no modifications)
  • Always backup before bulk cleanup
  • Run tests after cleanup
  • Some "unused" code may be used dynamically (reflection, __getattr__, lazy imports)
  • Ignore __init__.py re-exports

References

  • Detection patterns: references/detection-patterns.md
  • Cleanup examples: references/cleanup-examples.md