What problem does it solve? React and Next.js codebases often suffer from slow load times, unnecessary re-renders, and data-fetching waterfalls that are hard to spot during development. This Skill provides a structured, prioritized rule set from Vercel Engineering so AI agents and developers can consistently apply proven performance patterns when writing, reviewing, or refactoring code. ## 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 micro-optimizations, and advanced patterns. - Incorrect vs. Correct Examples: Each rule includes concrete code comparisons with impact metrics (e.g., 2-10x improvement from parallelizing fetches, 200-800ms savings from avoiding barrel imports). - Use Case: When refactoring a Next.js page that loads slowly, apply the waterfall rules to parallelize data fetching with Promise.all(), add Suspense boundaries for streaming, and replace barrel imports with direct imports to cut bundle size. ## Quick Start Ask the AI to review your React component or Next.js page against the Vercel React best practices rules and suggest performance improvements.