What problem does it solve? Codebases accumulate technical debt across code, design, tests, documentation, and infrastructure, but teams lack a consistent way to find, score, and prioritize it. This Skill scans a codebase or PR for debt indicators and produces a prioritized remediation report. ## Core Features & Use Cases - Multi-category debt detection: Scans for code smells, design violations, test gaps, documentation gaps, and infrastructure drift across five categories. - Prioritization scoring: Applies the formula Impact x (6 - Effort) to rank items and assign High, Medium, or Low severity with remediation recommendations. - Idempotent assessment: Detects existing assessments to avoid duplicate work, and accepts a pre-identified debt item to skip detection entirely. - Use Case: During a pull request review, invoke the skill to flag missing tests, TODO comments, and outdated dependencies, then receive a ranked remediation plan with effort estimates. ## Quick Start Ask the AI to assess technical debt in the current codebase or PR and produce a prioritized remediation report.