Identify and prioritize technical debt in a codebase for remediation planning.
npx skills add https://github.com/li3p/skills --skill debt-scan-li3p
Please help me install this Agent Skill. Skill: debt-scan Source: https://github.com/li3p/skills/tree/main/skills/debt-scan Command: npx skills add https://github.com/li3p/skills --skill debt-scan-li3p
Debt-scan helps teams identify and prioritize technical debt across a repository to turn code smells into actionable cleanup work.
Run a debt-scan on the repository to generate a prioritized remediation plan.
High-intent search queries and answers about installing and using this skill.
To identify technical debt hotspots in your codebase, you can run an automated static analysis to evaluate code quality signals and risk factors. This process surfaces actionable debt items to guide your remediation planning.
The best way to prioritize technical debt for backlog grooming is to assess code health based on impact, effort, and risk. This approach generates a prioritized remediation roadmap for engineering teams.
Yes, you can generate actionable remediation tickets from static analysis results by evaluating code quality signals and risk factors. This turns identified code smells into structured cleanup work for your team.
You need a technical debt assessment for release readiness when you must surface actionable debt items that pose risk factors. Applying this scan during code health assessments ensures your repository meets quality standards.
Technical debt analysis requires automated analysis of code quality signals and risk factors within your repository. The scan operates independently to generate a prioritized remediation plan without requiring external components.
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