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 70 prioritized, example-driven rules from Vercel Engineering so AI agents and developers consistently apply proven optimization patterns during code generation, review, and refactoring. ## Core Features & Use Cases - 70 Prioritized Rules Across 8 Categories: Covers eliminating waterfalls (CRITICAL), bundle size optimization (CRITICAL), server-side performance, client-side data fetching, re-render optimization, rendering performance, JavaScript performance, and advanced patterns. - Incorrect vs. Correct Code Examples: Every rule includes concrete TypeScript/TSX examples showing the anti-pattern and the optimized implementation, plus impact metrics (e.g., 2-10x improvement, 200-800ms import cost). - Structured Rule Files: Individual rule files in rules/ with frontmatter (title, impact, tags) and a compiled AGENTS.md for the complete guide. - Use Case: When refactoring a Next.js page that sequentially awaits fetchUser(), fetchPosts(), and fetchComments(), the Skill directs you to parallelize with Promise.all(), cutting three round trips to one. ## Quick Start Ask the AI to review your React or Next.js component for performance issues using the Vercel React best practices rules.