What problem does it solve? React and Next.js codebases often suffer from request waterfalls, bloated bundles, redundant re-renders, and inefficient data fetching that degrade load times and interactivity. This Skill provides a structured, impact-prioritized rule set so AI agents and developers consistently apply proven performance patterns when writing, reviewing, or refactoring code. ## Core Features & Use Cases - 45 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 ref patterns. - Incorrect vs. Correct Examples: Each rule includes concrete TypeScript/TSX 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 sequentially awaits user, posts, and comments, the Skill directs you to use Promise.all() or better-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 React best practices guidelines.