A collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities.
Skills follow the Agent Skills format.
React and Next.js performance optimization guidelines from Vercel Engineering. Contains 40+ rules across 8 categories, prioritized by impact.
Use when:
- Writing new React components or Next.js pages
- Implementing data fetching (client or server-side)
- Reviewing code for performance issues
- Optimizing bundle size or load times
Categories covered:
- Eliminating waterfalls (Critical)
- Bundle size optimization (Critical)
- Server-side performance (High)
- Client-side data fetching (Medium-High)
- Re-render optimization (Medium)
- Rendering performance (Medium)
- JavaScript micro-optimizations (Low-Medium)
Review UI code for compliance with web interface best practices. Audits your code for 100+ rules covering accessibility, performance, and UX.
Use when:
- "Review my UI"
- "Check accessibility"
- "Audit design"
- "Review UX"
- "Check my site against best practices"
Categories covered:
- Accessibility (aria-labels, semantic HTML, keyboard handlers)
- Focus States (visible focus, focus-visible patterns)
- Forms (autocomplete, validation, error handling)
- Animation (prefers-reduced-motion, compositor-friendly transforms)
- Typography (curly quotes, ellipsis, tabular-nums)
- Images (dimensions, lazy loading, alt text)
- Performance (virtualization, layout thrashing, preconnect)
- Navigation & State (URL reflects state, deep-linking)
- Dark Mode & Theming (color-scheme, theme-color meta)
- Touch & Interaction (touch-action, tap-highlight)
- Locale & i18n (Intl.DateTimeFormat, Intl.NumberFormat)
React Native best practices optimized for AI agents. Contains 16 rules across 7 sections covering performance, architecture, and platform-specific patterns.
Use when:
- Building React Native or Expo apps
- Optimizing mobile performance
- Implementing animations or gestures
- Working with native modules or platform APIs
Categories covered:
- Performance (Critical) - FlashList, memoization, heavy computation
- Layout (High) - flex patterns, safe areas, keyboard handling
- Animation (High) - Reanimated, gesture handling
- Images (Medium) - expo-image, caching, lazy loading
- State Management (Medium) - Zustand patterns, React Compiler
- Architecture (Medium) - monorepo structure, imports
- Platform (Medium) - iOS/Android specific patterns
React composition patterns that scale. Helps avoid boolean prop proliferation through compound components, state lifting, and internal composition.
Use when:
- Refactoring components with many boolean props
- Building reusable component libraries
- Designing flexible APIs
- Reviewing component architecture
Patterns covered:
- Extracting compound components
- Lifting state to reduce props
- Composing internals for flexibility
- Avoiding prop drilling
Deploy applications and websites to Vercel instantly. Designed for use with claude.ai and Claude Desktop to enable deployments directly from conversations. Deployments are "claimable" - users can transfer ownership to their own Vercel account.
Use when:
- "Deploy my app"
- "Deploy this to production"
- "Push this live"
- "Deploy and give me the link"
Features:
- Auto-detects 40+ frameworks from
package.json - Returns preview URL (live site) and claim URL (transfer ownership)
- Handles static HTML projects automatically
- Excludes
node_modulesand.gitfrom uploads
How it works:
- Packages your project into a tarball
- Detects framework (Next.js, Vite, Astro, etc.)
- Uploads to deployment service
- Returns preview URL and claim URL
Output:
Deployment successful!
Preview URL: https://skill-deploy-abc123.vercel.app
Claim URL: https://vercel.com/claim-deployment?code=...
npx add-skill vercel-labs/agent-skillsSkills are automatically available once installed. The agent will use them when relevant tasks are detected.
Examples:
Deploy my app
Review this React component for performance issues
Help me optimize this Next.js page
Each skill contains:
SKILL.md- Instructions for the agentscripts/- Helper scripts for automation (optional)references/- Supporting documentation (optional)
MIT