What problem does it solve?
This Skill solves the problem of accumulated over-engineering in codebases, including dead code, redundant dependencies, hand-rolled standard library functionality, and unnecessary abstractions that increase maintenance overhead and slow down development.
Core Features & Use Cases
- Full Repo Scan: Audits the entire codebase instead of just recent changes, catching all accumulated bloat across the project.
- Prioritized Findings: Ranks issues by impact, listing the largest possible line and dependency cuts first for maximum efficiency.
- Categorized Tags: Labels each finding as delete, stdlib, native, yagni, or shrink to clarify the exact action required.
- Use Case: Use this when maintaining a long-lived project to reduce technical debt, cut unnecessary dependencies, and simplify code without manual guesswork.
Quick Start
Ask the AI to run a ponytail-audit on your current repository to receive a ranked list of code and dependencies you can safely remove or simplify.