What problem does it solve? Codebases accumulate dead code, speculative abstractions, and hand-rolled utilities that duplicate the standard library. This Skill scans the whole repository and produces a ranked list of what to delete, simplify, or replace, so you can cut bloat without a manual line-by-line review. ## Core Features & Use Cases - Whole-repo over-engineering scan: Unlike a diff-based review, it audits the entire tree for dead code, unused flexibility, and speculative features. - Tagged findings: Each finding is labeled delete, stdlib, native, yagni, or shrink, with a concrete replacement named (e.g., the stdlib function or platform feature to use instead). - Ranked one-shot report: Outputs one line per finding ordered biggest cut first, ending with a net estimate of removable lines and dependencies. It lists findings only and applies no fixes. - Use Case: Before a major refactor, run the audit to identify single-implementation interfaces, one-product factories, wrapper-only modules, and dead config flags, then hand the ranked list to your team as a cleanup backlog. ## Quick Start Ask the AI to audit this codebase for over-engineering and list what can be deleted or replaced with standard library equivalents.
