What problem does it solve? Engineering teams accumulate technical debt without a clear way to measure or rank it, making it hard to decide what to refactor first. This Skill provides a structured framework to audit debt, score it, and turn it into an actionable remediation plan. ## Core Features & Use Cases - Debt Categorization: Classifies issues into six types: code, architecture, test, dependency, documentation, and infrastructure debt. - Prioritization Scoring: Ranks items using a formula based on impact, risk, and effort so the highest-value fixes surface first. - Phased Remediation Plan: Produces a prioritized backlog with effort estimates and business justification that fits alongside feature work. - Use Case: Ask for a technical debt audit of a legacy service and receive a scored list of refactoring priorities, such as replacing an unmaintained dependency or splitting a monolith, with justification for each item. ## Quick Start Ask the AI to perform a technical debt audit of your repository and produce a prioritized refactoring plan.
