What problem does it solve? React and Next.js codebases often suffer from performance issues like data-fetching waterfalls, bloated bundles, unnecessary re-renders, and slow server responses. This Skill provides 45 prioritized, actionable rules from Vercel Engineering so AI agents and developers can consistently write and refactor performant React/Next.js code. ## Core Features & Use Cases - Waterfall Elimination: Parallelize independent async operations with Promise.all(), better-all, and strategic Suspense boundaries for 2-10× improvements. - Bundle Size Optimization: Avoid barrel file imports, use dynamic imports for heavy components, and defer non-critical third-party libraries. - Server & Client Performance: Apply React.cache() deduplication, LRU caching, SWR, and re-render optimization patterns. - Use Case: When reviewing a Next.js page that sequentially awaits user, posts, and comments fetches, the Skill directs you to combine them with Promise.all() and restructure components for parallel server-side data fetching. ## Quick Start Review my Next.js page component and apply the Vercel React best practices to eliminate data-fetching waterfalls and reduce bundle size.