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 generate and refactor performant React 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 performance, and advanced patterns, each ranked by impact 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 parallelization. - Use Case: When refactoring a Next.js page that fetches user, posts, and comments sequentially, apply the async-parallel rule to combine them with Promise.all(), cutting three network round trips down to one. ## Quick Start Ask the AI to review your React component or Next.js page for performance issues using the Vercel best practices rules and suggest optimized code.
