What problem does it solve? React and Next.js codebases often suffer from performance issues like async waterfalls, bloated bundles, unnecessary re-renders, and inefficient data fetching. This Skill provides a structured, impact-prioritized rule set so AI agents and developers consistently apply proven optimization patterns instead of guessing. ## Core Features & Use Cases - 65 Prioritized Rules Across 8 Categories: Covers eliminating waterfalls, bundle size optimization, server-side performance, client-side data fetching, re-render optimization, rendering performance, JavaScript performance, and advanced patterns, each tagged with an impact level from CRITICAL to LOW. - Incorrect vs. Correct Code Examples: Every rule includes concrete TypeScript/TSX examples showing the anti-pattern and the optimized implementation, plus impact metrics like "2-10x improvement" or "200-800ms import cost". - Use Case: When refactoring a Next.js page that sequentially awaits multiple fetches, apply the waterfall elimination rules to parallelize with Promise.all() and restructure components with Suspense boundaries for faster initial paint. ## Quick Start Ask the AI to review your React component or Next.js page against the Vercel performance rules and suggest optimizations for data fetching, bundle size, and re-renders.