What problem does it solve? Getting a complete picture of codebase quality requires manually running the type checker, linter, test suite, and dead code detector, then mentally combining their results. This Skill automates that entire process and produces a single composite health score with prioritized recommendations. ## Core Features & Use Cases - Automatic Tool Detection: Detects available tools from project files (tsconfig.json, biome.json, eslint configs, pyproject.toml, Cargo.toml, go.mod) and runs only what exists. - Weighted Composite Scoring: Scores each category (type check 22%, lint 18%, tests 28%, dead code 13%, shell lint 9%) on a 0-10 scale and computes a weighted composite, redistributing weight for skipped tools. - Prioritized Recommendations: Ranks fixes by impact (weight times score deficit) so you know what to address first. - Use Case: Before a release, ask for a health check to get a dashboard showing tests at 10/10, lint at 6/10 with 12 warnings, and a composite score of 8.4/10 with recommendations ranked by impact. ## Quick Start Run a health check on this codebase and show me the quality dashboard with recommendations.