Codebase Cleanup
SkillDev tools'Comprehensive codebase cleanup across 11 quality dimensions: dead code,
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Details
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What this skill tells your AI
The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/cleanup-code/SKILL.md and read by Ahel’s review.
Systematic code cleanup across 11 quality dimensions, ordered by risk. Each finding includes confidence scoring (HIGH/MEDIUM/LOW) and all changes are verified through build/test gates.
Environment Detection
!git rev-parse --show-toplevel 2>/dev/null && echo "---" && git diff --stat HEAD~5 2>/dev/null | tail -5
!ls package.json pyproject.toml Cargo.toml go.mod Makefile 2>/dev/null | head -5
!cat package.json 2>/dev/null | head -3; echo "---"; ls tsconfig.json .eslintrc* 2>/dev/null
Prerequisites
- Git repository with clean working tree (no uncommitted changes)
- Language toolchain installed (Node.js/Python/Go/Rust as applicable)
- Optional:
knip,madge,jscpd,ruff,banditfor tool-verified scanning
Overview
This skill orchestrates cleanup across 11 dimensions, each with a dedicated agent. Dimensions are ordered LOW → HIGH risk. See dimensions reference for full detection criteria, verification steps, and risk profiles.
The 11 Dimensions (by risk level):
| # | Dimension | Key | Risk | Auto-apply? |
|---|---|---|---|---|
| 1 | Dead code removal | dead | LOW | Yes (after build) |
| 2 | AI slop removal | slop | LOW | Comments only |
| 3 | Weak type elimination | types | MED | Yes (after typecheck) |
| 4 | Security cleanup | security | MED | Flag only |
| 5 | Legacy code removal | legacy | MED | With confirmation |
| 6 | Type consolidation | typecons | MED | Yes (after typecheck) |
| 7 | Defensive code cleanup | defensive | MED | Flag only |
| 8 | Performance optimization | perf | MED | Flag only |
| 9 | DRY deduplication | dry | HIGH | Flag only (>=10 lines) |
| 10 | Async pattern fixes | async | HIGH | Flag only |
| 11 | Circular dep untangling | circular | HIGH | Flag only |
Instructions
Step 1: Safety Checkpoint
Before any changes:
- Verify clean git state:
git status --porcelainmust be empty (or stash changes) - Record baseline:
git rev-parse HEADas rollback point - Run existing tests to confirm green baseline
- See safety protocol for revert procedures
Step 2: Determine Scope
Parse user arguments to set scope:
- Full codebase (default): scan all source files
- Specific path:
cleanup src/api/— limit to directory - Changed files only:
--changedflag —git diff --name-only HEAD~10 - Specific dimensions:
--dimensions dead,types,security - Single dimension:
cleanup --dimensions dry
Exclude from all scans: node_modules/, dist/, build/, .git/, vendor dirs, generated files.
Step 3: Execute Dimensions
For each selected dimension (in risk order):
- Scan using patterns from patterns reference
- Score confidence — HIGH (certain, safe to fix), MEDIUM (likely, needs review), LOW (possible, flag only)
- Apply or flag based on the dimension's auto-apply policy (see table above)
- Verify — run build/typecheck/tests after each dimension with auto-apply
Use tools reference for language-specific tool commands (knip, madge, ruff, jscpd, etc.).
Step 4: Build Verification Gate
After each auto-applied dimension:
# TypeScript/JavaScript
npx tsc --noEmit 2>&1 | tail -20
npm test 2>&1 | tail -30
# Python
python3 -m py_compile <changed_files>
python3 -m pytest --tb=short 2>&1 | tail -30
# General
git diff --stat # Show what changed
If verification fails, revert that dimension: git checkout -- .
Step 5: Generate Report
Produce a cleanup report in this format:
## Cleanup Report
**Scope:** [path or "full codebase"]
**Baseline:** [commit hash]
**Dimensions:** [list of dimensions run]
### Summary
| Dimension | Findings | Applied | Flagged | Confidence |
|-----------|----------|---------|---------|------------|
| dead | 12 | 10 | 2 | HIGH |
| types | 8 | 8 | 0 | HIGH |
| security | 3 | 0 | 3 | MEDIUM |
### Changes Applied
- [file:line] description of change
### Flagged for Review
- [file:line] description + reasoning + suggested fix
### Lines Removed: N | Lines Modified: N | Files Touched: N
Output
A structured cleanup report containing:
- Summary table with findings per dimension (count, applied, flagged, confidence)
- List of changes applied with file:line references
- List of flagged items with reasoning and suggested fixes
- Stats: lines removed, lines modified, files touched
Error Handling
| Error | Recovery |
|---|---|
| Dirty git state | Ask user to commit or stash first |
| Build fails after cleanup | git checkout -- . to revert dimension |
| No test command found | Skip verification, flag all as "unverified" |
| Tool not installed | Fall back to grep patterns (see references/patterns.md) |
| Confidence unclear | Default to flag-only, never auto-apply |
Examples
Full cleanup:
/cleanup-code
Security-focused:
/cleanup-code --dimensions security,async
Changed files only:
/cleanup-code src/api/ --changed
Single dimension deep-dive:
/cleanup-code --dimensions dead
Resources
- All 11 Dimensions — detection criteria, verification, risk profiles
- Tool Reference — language-specific cleanup tools
- Grep Patterns — detection patterns by dimension
- Safety Protocol — revert procedures, confidence scoring
Signals
- GitHub stars
- 3k
- Forks
- 415
- Last commit
- Oct 2026
Ahel review
K4blow
destructive-scoped (in references/safety.md)K1binfo
installs-packages (in references/tools.md)
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
cleanup-code- Source
- github.com/jeremylongshore/tons-of-skills-marketplace
github.com/jeremylongshore/tons-of-skills-marketplace
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