This gives you a structured way to catalog and prioritize technical debt instead of just complaining about it in standups. It scores debt items by severity, effort, and business impact, then calculates which fixes give you the best ROI. The approach covers code smells, architectural issues, missing tests, and security holes. Works well when you're planning refactoring sprints, evaluating a codebase for acquisition, or trying to convince management that yes, you really do need to fix that legacy authentication system. The quantification angle is honest: you're trading guesswork for something you can actually defend in a planning meeting.
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill technical-debt-assessment