What problem does it solve?
This Skill centralizes discovery and management of technical debt so teams can find, categorize, and schedule fixes instead of letting issues accumulate unnoticed. It reduces the friction of scanning large repositories for TODOs, FIXMEs, hacks, deprecated APIs, duplication, and other debt indicators, and provides a register and prioritization guidance to inform sprint planning.
Core Features & Use Cases
- Automated Scanning: Locate TODO, FIXME, HACK, @deprecated markers, large files, long functions, and duplicated code to surface potential debt.
- Directed Entry Management: Add manual debt entries with description, category, affected files, effort estimate, and impact rationale to maintain a human-curated register.
- Prioritization & Reporting: Score items by impact, frequency, and effort to recommend sprint inclusions, and generate trend reports showing items added, resolved, and aged entries.
- Use Case: During a sprint review, run a scan to update the debt register, re-prioritize entries by calculated score, and export a report to plan remediation work for the next sprint.
Quick Start
Run the tech-debt skill in scan mode to find TODOs, FIXMEs, HACKs, large files and duplicated code and ask to append the findings to docs/tech-debt-register.md.