What problem does it solve? React and Next.js codebases often suffer from slow load times, unnecessary re-renders, oversized bundles, and sequential data-fetching waterfalls. This Skill gives AI agents a structured, prioritized rulebook of 70 performance guidelines from Vercel Engineering so generated and refactored code follows proven optimization patterns instead of common anti-patterns. ## Core Features & Use Cases - Prioritized Rule Catalog: 70 rules across 8 categories ranked by impact, from critical waterfall elimination and bundle size reduction to advanced hook patterns. - Incorrect vs. Correct Examples: Every rule includes side-by-side TypeScript/TSX code examples showing the anti-pattern and the optimized implementation. - EVA Project Overrides: Project-specific guardrails for multi-tenant, org_id-scoped applications that prevent tenant data leaks into shared module state or unscoped caches. - Use Case: When asked to optimize a slow Next.js dashboard page, the agent consults rules like async-parallel to parallelize data fetches with Promise.all(), bundle-barrel-imports to fix costly barrel imports, and rerender-memo to eliminate wasted re-renders. ## Quick Start Ask the agent to review your React component or Next.js page for performance issues and apply the Vercel best practices rules to fix waterfalls, bundle bloat, and unnecessary re-renders.