react-best-practices
Scannednpx machina-cli add skill vudovn/antigravity-kit/nextjs-react-expert --openclawNext.js & React Performance Expert
From Vercel Engineering - 57 optimization rules prioritized by impact Philosophy: Eliminate waterfalls first, optimize bundles second, then micro-optimize.
šÆ Selective Reading Rule (MANDATORY)
Read ONLY sections relevant to your task! Check the content map below and load what you need.
š“ For performance reviews: Start with CRITICAL sections (1-2), then move to HIGH/MEDIUM.
š Content Map
| File | Impact | Rules | When to Read |
|---|---|---|---|
1-async-eliminating-waterfalls.md | š“ CRITICAL | 5 rules | Slow page loads, sequential API calls, data fetching waterfalls |
2-bundle-bundle-size-optimization.md | š“ CRITICAL | 5 rules | Large bundle size, slow Time to Interactive, First Load issues |
3-server-server-side-performance.md | š HIGH | 7 rules | Slow SSR, API route optimization, server-side waterfalls |
4-client-client-side-data-fetching.md | š” MEDIUM-HIGH | 4 rules | Client data management, SWR patterns, deduplication |
5-rerender-re-render-optimization.md | š” MEDIUM | 12 rules | Excessive re-renders, React performance, memoization |
6-rendering-rendering-performance.md | š” MEDIUM | 9 rules | Rendering bottlenecks, virtualization, image optimization |
7-js-javascript-performance.md | āŖ LOW-MEDIUM | 12 rules | Micro-optimizations, caching, loop performance |
8-advanced-advanced-patterns.md | šµ VARIABLE | 3 rules | Advanced React patterns, useLatest, init-once |
Total: 57 rules across 8 categories
š Quick Decision Tree
What's your performance issue?
š Slow page loads / Long Time to Interactive
ā Read Section 1: Eliminating Waterfalls
ā Read Section 2: Bundle Size Optimization
š¦ Large bundle size (> 200KB)
ā Read Section 2: Bundle Size Optimization
ā Check: Dynamic imports, barrel imports, tree-shaking
š„ļø Slow Server-Side Rendering
ā Read Section 3: Server-Side Performance
ā Check: Parallel data fetching, streaming
š Too many re-renders / UI lag
ā Read Section 5: Re-render Optimization
ā Check: React.memo, useMemo, useCallback
šØ Rendering performance issues
ā Read Section 6: Rendering Performance
ā Check: Virtualization, layout thrashing
š Client-side data fetching problems
ā Read Section 4: Client-Side Data Fetching
ā Check: SWR deduplication, localStorage
⨠Need advanced patterns
ā Read Section 8: Advanced Patterns
š Impact Priority Guide
Use this order when doing comprehensive optimization:
1ļøā£ CRITICAL (Biggest Gains - Do First):
āā Section 1: Eliminating Waterfalls
ā āā Each waterfall adds full network latency (100-500ms+)
āā Section 2: Bundle Size Optimization
āā Affects Time to Interactive and Largest Contentful Paint
2ļøā£ HIGH (Significant Impact - Do Second):
āā Section 3: Server-Side Performance
āā Eliminates server-side waterfalls, faster response times
3ļøā£ MEDIUM (Moderate Gains - Do Third):
āā Section 4: Client-Side Data Fetching
āā Section 5: Re-render Optimization
āā Section 6: Rendering Performance
4ļøā£ LOW (Polish - Do Last):
āā Section 7: JavaScript Performance
āā Section 8: Advanced Patterns
š Related Skills
| Need | Skill |
|---|---|
| API design patterns | @[skills/api-patterns] |
| Database optimization | @[skills/database-design] |
| Testing strategies | @[skills/testing-patterns] |
| UI/UX design principles | @[skills/frontend-design] |
| TypeScript patterns | @[skills/typescript-expert] |
| Deployment & DevOps | @[skills/deployment-procedures] |
ā Performance Review Checklist
Before shipping to production:
Critical (Must Fix):
- No sequential data fetching (waterfalls eliminated)
- Bundle size < 200KB for main bundle
- No barrel imports in app code
- Dynamic imports used for large components
- Parallel data fetching where possible
High Priority:
- Server components used where appropriate
- API routes optimized (no N+1 queries)
- Suspense boundaries for data fetching
- Static generation used where possible
Medium Priority:
- Expensive computations memoized
- List rendering virtualized (if > 100 items)
- Images optimized with next/image
- No unnecessary re-renders
Low Priority (Polish):
- Hot path loops optimized
- RegExp patterns hoisted
- Property access cached in loops
ā Anti-Patterns (Common Mistakes)
DON'T:
- ā Use sequential
awaitfor independent operations - ā Import entire libraries when you need one function
- ā Use barrel exports (
index.tsre-exports) in app code - ā Skip dynamic imports for large components/libraries
- ā Fetch data in useEffect without deduplication
- ā Forget to memoize expensive computations
- ā Use client components when server components work
DO:
- ā
Fetch data in parallel with
Promise.all() - ā
Use dynamic imports:
const Comp = dynamic(() => import('./Heavy')) - ā
Import directly:
import { specific } from 'library/specific' - ā Use Suspense boundaries for better UX
- ā Leverage React Server Components
- ā Measure performance before optimizing
- ā Use Next.js built-in optimizations (next/image, next/font)
šÆ How to Use This Skill
For New Features:
- Check Section 1 & 2 while building (prevent waterfalls, keep bundle small)
- Use server components by default (Section 3)
- Apply memoization for expensive operations (Section 5)
For Performance Reviews:
- Start with Section 1 (waterfalls = biggest impact)
- Then Section 2 (bundle size)
- Then Section 3 (server-side)
- Finally other sections as needed
For Debugging Slow Performance:
- Identify the symptom (slow load, lag, etc.)
- Use Quick Decision Tree above
- Read relevant section
- Apply fixes in priority order
š Learning Path
Beginner (Focus on Critical): ā Section 1: Eliminating Waterfalls ā Section 2: Bundle Size Optimization
Intermediate (Add High Priority): ā Section 3: Server-Side Performance ā Section 5: Re-render Optimization
Advanced (Full Optimization): ā All sections + Section 8: Advanced Patterns
š Validation Script
| Script | Purpose | Command |
|---|---|---|
scripts/react_performance_checker.py | Automated performance audit | python scripts/react_performance_checker.py <project_path> |
š Section Details
Section 1: Eliminating Waterfalls (CRITICAL)
Impact: Each waterfall adds 100-500ms+ latency Key Concepts: Parallel fetching, Promise.all(), Suspense boundaries, preloading
Section 2: Bundle Size Optimization (CRITICAL)
Impact: Directly affects Time to Interactive, Largest Contentful Paint Key Concepts: Dynamic imports, tree-shaking, barrel import avoidance
Section 3: Server-Side Performance (HIGH)
Impact: Faster server responses, better SEO Key Concepts: Parallel server fetching, streaming, API route optimization
Section 4: Client-Side Data Fetching (MEDIUM-HIGH)
Impact: Reduces redundant requests, better UX Key Concepts: SWR deduplication, localStorage caching, event listeners
Section 5: Re-render Optimization (MEDIUM)
Impact: Smoother UI, less wasted computation Key Concepts: React.memo, useMemo, useCallback, component structure
Section 6: Rendering Performance (MEDIUM)
Impact: Better rendering efficiency Key Concepts: Virtualization, image optimization, layout thrashing
Section 7: JavaScript Performance (LOW-MEDIUM)
Impact: Incremental improvements in hot paths Key Concepts: Loop optimization, caching, RegExp hoisting
Section 8: Advanced Patterns (VARIABLE)
Impact: Specific use cases Key Concepts: useLatest hook, init-once patterns, event handler refs
š Best Practices Summary
Golden Rules:
- Measure first - Use React DevTools Profiler, Chrome DevTools
- Biggest impact first - Waterfalls ā Bundle ā Server ā Micro
- Don't over-optimize - Focus on real bottlenecks
- Use platform features - Next.js has optimizations built-in
- Think about users - Real-world conditions matter
Performance Mindset:
- Every
awaitin sequence = potential waterfall - Every
import= potential bundle bloat - Every re-render = wasted computation (if unnecessary)
- Server components = less JavaScript to ship
- Measure, don't guess
Source: Vercel Engineering Date: January 2026 Version: 1.0.0 Total Rules: 57 across 8 categories
Source
git clone https://github.com/vudovn/antigravity-kit/blob/main/.agent/skills/nextjs-react-expert/SKILL.mdView on GitHub Overview
This skill distills React and Next.js performance optimization into 57 rules prioritized by impact, from eliminating waterfalls to bundle size and micro-optimizations. It guides developers to identify bottlenecks, apply server/client-side optimizations, and ship faster UIs.
How This Skill Works
It uses a selective reading approach: start with CRITICAL sections (waterfalls and bundle size), then progress to HIGH/MEDIUM topics like server-side and client-side performance. You apply the recommended patterns (parallel data fetching, dynamic imports, tree-shaking, memoization) to real components and flows, then measure impact on TTI, LCP, and overall UX.
When to Use It
- Need to speed up slow page loads and eliminate data-fetching waterfalls
- Trying to reduce bundle size and improve time to interactive
- Optimizing server-side rendering and API route performance
- Facing excessive re-renders or UI lag in React components
- Dealing with rendering bottlenecks, virtualization, or image optimization
Quick Start
- Step 1: Identify waterfalls and large bundle hotspots with a performance audit
- Step 2: Apply dynamic imports and tree-shaking to reduce bundle size; parallelize data fetching where possible
- Step 3: Introduce memoization and virtualization; measure improvements with TTI/LCP
Best Practices
- Prioritize eliminating waterfalls before bundle or micro-optimizations
- Reduce bundle size with dynamic imports, barrel imports avoidance, and tree-shaking
- Improve server-side performance by parallelizing data fetching and reducing SSR waterfalls
- Use React.memo, useMemo, and useCallback to minimize re-renders
- Implement virtualization and image optimizations for rendering performance
Example Use Cases
- On a dashboard, split API calls to avoid sequential waterfalls and cache results
- Refactor large React components into dynamically imported chunks to shrink bundles
- Enable parallel data fetching in SSR routes to eliminate server-side waterfalls
- Memoize heavy child components to cut down re-renders on frequent prop changes
- Virtualize long lists and optimize images to boost rendering performance