Scan codebases for technical debt and quality issues.
npx skills add https://github.com/iabheejit/matchkit --skill desloppify-iabheejit
Please help me install this Agent Skill. Skill: desloppify Source: https://github.com/iabheejit/matchkit/tree/main/.claude/skills/desloppify Command: npx skills add https://github.com/iabheejit/matchkit --skill desloppify-iabheejit
This Skill automatically scans codebases to identify and track technical debt, code smells, and quality issues, providing actionable insights for improvement.
Run a full scan of the current directory to identify code quality issues.
High-intent search queries and answers about installing and using this skill.
To scan a codebase for technical debt and code smells, run an automated static analysis to identify quality issues across mechanical and subjective dimensions. This Skill executes that scan to detect duplication, test health, and security vulnerabilities, returning a comprehensive project health report.
Tracking and quantifying code smells requires identifying specific structural issues like naming problems and import cycles. This Skill identifies and quantifies these technical debt metrics, allowing you to monitor code health and systematically plan for code cleanup over time.
Automating fixes for technical debt issues found during code review is possible by integrating AI agents. This Skill supports automated fixing and provides actionable suggestions for identified issues, helping you systematically reduce code smells and improve overall code quality.
Static analysis for subjective code quality metrics evaluates both mechanical and subjective dimensions. This Skill integrates with AI agents to perform subjective code reviews, while also analyzing mechanical metrics like duplication and test coverage to generate detailed code health reports.
Creating a plan to systematically reduce technical debt requires identifying and prioritizing the top issues in your repository. This Skill helps you generate a cleanup plan by quantifying code smells, offering automated fixes, and tracking issue resolution to improve code health over time.
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