Quality skills for AI coding agents
Skills for code quality, testing, and best practices. Each skill is a packaged set of instructions you install into Cursor, Claude Code, GitHub Copilot, Windsurf or any other supported agent, so the agent follows the same workflow every time.
7 skills in this category.
Skills in Quality
Audit and improve web accessibility following WCAG 2.1 guidelines.
Apply modern web development best practices for security, compatibility, and code quality.
Generative Engine Optimization (GEO) specialist — the technical, on-page publishing work that makes a given page or site discoverable, understandable, trustworthy, quotable, and fresh for AI answer engines (Google AI Overviews, ChatGPT Search, Bing Copilot, Perplexity).
Optimize for search engine visibility and ranking.
Evidence-first pull request judge that reviews a PR and posts one consolidated GitHub review with inline comments via the gh CLI. Runs the repo's own deterministic checks first, researches current official docs before any claim about external libraries or APIs, then reviews correctness, security, structural quality (code judo, spaghetti growth, file-size limits), and AI slop including useless code comments. Every finding must carry evidence, every comment passes a deterministic noise gate before posting, and the verdict (APPROVE, COMMENT, REQUEST_CHANGES) is weighed by findings.
React and Next.js performance optimization guidelines from Vercel Engineering.
Comprehensive web quality audit covering performance, accessibility, SEO, and best practices in a single review.