What problem does it solve? React and Next.js codebases often suffer from slow load times, data-fetching waterfalls, bloated bundles, and unnecessary re-renders. This Skill gives AI agents a structured, prioritized rule set from Vercel Engineering so generated and refactored code follows proven performance patterns instead of common anti-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 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 improvements from parallelizing fetches. - Use Case: When asked to optimize a slow Next.js page, the agent applies rules such as replacing sequential awaits with Promise.all(), using Suspense boundaries for streaming, avoiding barrel file imports, and deduplicating requests with React.cache() or SWR. ## Quick Start Review my Next.js page component and apply the Vercel React best practices to eliminate data-fetching waterfalls and reduce bundle size.