What problem does it solve? Engineering teams accumulate technical debt that silently slows development velocity and increases maintenance costs, but they lack a systematic way to detect, quantify, and prioritize it. This Skill turns vague concerns about code quality into a scored, prioritized backlog with trend analysis and executive-ready reporting. ## Core Features & Use Cases - Automated Debt Detection: Scan Python, JavaScript, Java, C#, Go, and other codebases to detect 15+ debt types including large functions, high complexity, duplicate code, security risks, and missing documentation. - Intelligent Prioritization: Score debt items using Cost of Delay, WSJF, or RICE frameworks with effort estimation, interest rate calculation, and sprint allocation recommendations. - Trend Analysis & Dashboards: Compare historical scans to compute health scores (0-100), debt velocity, forecasts, and strategic recommendations for stakeholders. - Use Case: Run the scanner on your repository before sprint planning, feed the inventory into the prioritizer to select high-impact quick wins, then generate a quarterly dashboard showing health score improvement to leadership. ## Quick Start Ask the assistant to scan your project directory for technical debt and produce a prioritized remediation backlog with a health score summary.