This is your standard code quality metrics toolkit wrapped up for Claude. It measures cyclomatic complexity, cognitive complexity, maintainability index, and code churn across TypeScript and Python codebases. You'd reach for this during code reviews, when setting up CI/CD quality gates, or when you need to justify refactoring that gnarly legacy module to your team lead. The reference guides cover practical implementations including radon integration for Python and ESLint plugins for JavaScript. One thing to appreciate here is the emphasis on tracking trends over time rather than obsessing over absolute numbers, which is the right mindset. Works best when you combine multiple metrics instead of fixating on a single complexity score.
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill code-metrics-analysis