Scan codebases for technical debt and create GitHub issues for high-severity findings.
npx skills add https://github.com/rioX432/live-translate --skill tech-debt-riox432
Please help me install this Agent Skill. Skill: tech-debt Source: https://github.com/rioX432/live-translate/tree/main/.claude/skills/tech-debt Command: npx skills add https://github.com/rioX432/live-translate --skill tech-debt-riox432
This Skill helps teams identify technical debt, code smells, architecture issues, test gaps, and dependency risks before they become costly maintenance problems.
Ask the tech-debt skill to scan the repository and create GitHub issues for any high-severity findings.
High-intent search queries and answers about installing and using this skill.
Scanning a codebase for technical debt involves detecting duplicated code, long functions, deep nesting, dead code, and TODO markers. The tool groups these refactoring opportunities by category, rating them by severity and effort so teams can prioritize maintenance work effectively.
Yes, you can automatically create GitHub issues for high-severity code smells and architecture violations. The tool opens issues using the gh command, attaching file-level evidence and recommended fixes to support immediate refactoring and follow-up tracking.
The best way to triage technical debt before a release is to run an automated repository scan that surfaces test gaps, dependency issues, and performance hotspots. Findings are grouped by severity and estimated effort, allowing teams to address the highest-risk cleanup items first.
Yes, repository scanning detects test gaps and dependency issues alongside dead code and performance hotspots. It evaluates the entire codebase to identify risks across categories, ensuring teams can address maintainability issues before they become costly maintenance problems.
Technical debt findings are prioritized by grouping them into categories and rating each item by severity and effort. This allows maintainers to quickly identify the most impactful refactoring targets and focus on high-severity items before a release or during active maintenance.
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