Browse published AI skills maintained by PaulKinlan. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
8Repository stars across indexed skills
89Repository forks
9Average repository stars per indexed skill
11Repository stars may repeat across skills from the same repository.
Review and fix PR review bot findings on current PR, loop until resolved. Fetches unanswered bot comments, evaluates each finding, fixes real bugs, dismisses false positives, and replies to every comment with t...
Expert knowledge in implementing secure web applications and protecting against common vulnerabilities. Covers OWASP Top 10, authentication and authorization, data protection, Content Security Policy (CSP), HTT...
Expert knowledge in creating accessible web applications that comply with WCAG guidelines. Covers ARIA, semantic HTML, keyboard navigation, screen reader support, color contrast, and focus management. Use when...
Use this skill when implementing web features to ensure modern APIs and techniques are used. Triggers: Building UI components, adding browser APIs, implementing features that could use legacy patterns. Example...
Expert knowledge in developing Chrome extensions covering all aspects from basic architecture to advanced features. Covers Manifest V3, service workers, content scripts, Chrome APIs, popup and options pages, se...
Expert knowledge in testing web applications across all levels, from unit tests to end-to-end testing. Covers unit testing, integration testing, E2E testing, Test-Driven Development (TDD), test coverage, mockin...
Expert knowledge in optimizing web application performance for speed, efficiency, and excellent user experience. Covers Core Web Vitals (LCP, FID/INP, CLS), loading optimization, runtime performance, bundle opt...
Expert knowledge in modern web development best practices, patterns, and industry standards. Covers code quality, design patterns, version control, documentation, code review, CI/CD, error handling, and state m...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.