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 server-side bottlenecks. This Skill gives AI agents a structured, prioritized rule set from Vercel Engineering so generated and refactored code follows proven performance patterns. ## Core Features & Use Cases - 70 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 by impact level. - Incorrect vs. Correct Code Examples: Every rule includes concrete TypeScript/TSX examples showing the anti-pattern and the optimized implementation, with impact metrics like 2-10x improvements. - Use Case: When refactoring a Next.js page that sequentially awaits user, posts, and comments fetches, the Skill directs the agent to parallelize them with Promise.all() and add strategic Suspense boundaries for faster initial paint. ## Quick Start Review my Next.js page component and apply the Vercel React best practices rules to eliminate data-fetching waterfalls and reduce bundle size.