Identify and rank code-quality issues with risk-scored findings and actionable snippets.
npx skills add https://github.com/robkam/ytreenova --skill code-quality-robkam
Please help me install this Agent Skill. Skill: code-quality Source: https://github.com/robkam/ytreenova/tree/main/.ai/skills/code-quality Command: npx skills add https://github.com/robkam/ytreenova --skill code-quality-robkam
Identify and remedy high-impact code-quality issues before they cause defects, outages, or maintainability challenges.
Analyze your repository to surface high-impact code-quality issues and present prioritized fixes for review.
High-intent search queries and answers about installing and using this skill.
Prioritize code-quality issues by analyzing your repository to surface high-impact findings ranked by risk. This detects anti-patterns across languages and provides actionable remediation snippets to improve reliability and maintainability during refactors.
Risk-prioritization in static analysis ranks code-quality smells and anti-patterns by their potential impact on reliability. It helps developers focus on high-impact issues first, providing risk-scored findings and maintainable-by-default remediation patterns for safer code reviews.
Automated static analysis can detect code-quality smells and anti-patterns across repositories of varying sizes. It automatically identifies maintainability challenges and generates risk-ranked recommendations with concrete before and after snippets for lean remediation.
To get actionable remediation guidance during an audit, analyze the codebase to identify code-quality issues. The process generates concrete before and after snippets with maintainable-by-default patterns, requiring your approval before applying any changes to ensure safety.
Code-quality analysis does not automatically apply changes to your codebase. It requires explicit user approval before applying refactoring changes, presenting risk-scored findings and actionable snippets to preserve control and safety during the remediation process.
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