What problem does it solve?
Engineers and product teams struggle to discover, categorize, and prioritize technical debt across code, architecture, tests, dependencies, documentation, and infrastructure; this Skill provides a structured audit and scoring framework to turn vague code quality concerns into an actionable backlog.
Core Features & Use Cases
- Categorization: Classify debt into code, architecture, test, dependency, documentation, and infrastructure buckets to highlight root causes.
- Prioritization Framework: Score items by impact, risk, and effort using the provided formula to produce a ranked remediation list.
- Deliverables: Produce estimated effort, business justification, and a phased remediation plan suitable for inclusion in sprint planning or roadmaps.
- Use Case: Run a debt audit before a major release to identify high-risk areas, estimate fixes, and plan incremental remediation alongside feature work.
Quick Start
Run a technical debt audit on the payments service and return a prioritized remediation plan with estimated effort and business justification.