What problem does it solve? Codebases accumulate dead code, duplicated logic, oversized files, and unused dependencies over time, and cleaning them up often turns into risky, uncontrolled refactors. This Skill provides a conservative, structured procedure for reducing code size while preserving behavior and proving code is dead before deleting it. ## Core Features & Use Cases - Seven-step scan procedure: Excludes build artifacts, checks version control hygiene, flags oversized files, detects duplication, finds dead code, and audits dependencies against actual imports. - Severity-ranked reporting: Outputs findings as Critical, Warning, or Info in a structured table format with locations, line counts, and suggested actions, ending with a quantified impact summary. - Safety guardrails: Requires proof before deletion (compiler warnings, reference searches, passing tests), keeps cleanup surgical, and preserves behavior unless explicitly told otherwise. - Use Case: After a large feature refactor, run this Skill to identify unused imports, orphaned helper functions, duplicated utilities across files, and dependencies in package.json that nothing imports, then receive a prioritized cleanup report. ## Quick Start Ask the AI to scan this repository for dead code, duplication, oversized files, and unused dependencies, then produce a severity-ranked cleanup report.
