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 from Vercel Engineering so AI agents and developers consistently apply proven optimization patterns instead of guessing. ## Core Features & Use Cases - 69 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. - Incorrect vs. Correct Examples: Every 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 fetches user, posts, and comments sequentially, the Skill directs you to use Promise.all() for parallel execution, cutting three round trips to one. ## Quick Start Ask the AI to review your React component or Next.js page for performance issues using the Vercel React best practices guidelines.