Code Quality Skill

Analyze, verify, and fix code quality issues using the project's own tools. This skill detects the project's linter and type checker, runs them with structured output, normalizes findings into a consistent severity format, and presents actionable results.

Core principle: Use what the project already has. No external services, no server setup, no token overhead when not in use.

Named workflows:

1. Lint - review, check, lint, fix, or audit code quality
2. Pre-commit Check - changed-file lint and type check before commit
3. Type Check - pyright or tsc static type analysis
4. Architecture Review - full structural audit plus focused complexity/cycle checks
5. Security Scan - Semgrep SAST plus detect-secrets
6. Comprehensive Review - read-only maximum-coverage review across lint, complexity, types, architecture, and security
7. Linter Setup - configure a project-level linter