Marketplace performance-optimization
Optimize application performance for speed, efficiency, and scalability. Use when improving page load times, reducing bundle size, optimizing database queries, or fixing performance bottlenecks. Handles React optimization, lazy loading, caching, code splitting, and profiling.
install
source · Clone the upstream repo
git clone https://github.com/aiskillstore/marketplace
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/aiskillstore/marketplace "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/supercent-io/performance-optimization" ~/.claude/skills/aiskillstore-marketplace-performance-optimization-f50ae8 && rm -rf "$T"
manifest:
skills/supercent-io/performance-optimization/SKILL.mdsource content
Performance Optimization
When to use this skill
- Slow page loads: low Lighthouse score
- Slow rendering: delayed user interactions
- Large bundle size: increased download time
- Slow queries: database bottlenecks
Instructions
Step 1: Measure performance
Lighthouse (Chrome DevTools):
# CLI npm install -g lighthouse lighthouse https://example.com --view # Automate in CI lighthouse https://example.com --output=json --output-path=./report.json
Measure Web Vitals (React):
import { getCLS, getFID, getFCP, getLCP, getTTFB } from 'web-vitals'; function sendToAnalytics(metric: any) { // Send to Google Analytics, Datadog, etc. console.log(metric); } getCLS(sendToAnalytics); getFID(sendToAnalytics); getFCP(sendToAnalytics); getLCP(sendToAnalytics); getTTFB(sendToAnalytics);
Step 2: Optimize React
React.memo (prevent unnecessary re-renders):
// ❌ Bad: child re-renders whenever the parent re-renders function ExpensiveComponent({ data }: { data: Data }) { return <div>{/* complex rendering */}</div>; } // ✅ Good: re-render only when props change const ExpensiveComponent = React.memo(({ data }: { data: Data }) => { return <div>{/* complex rendering */}</div>; });
useMemo & useCallback:
function ProductList({ products, category }: Props) { // ✅ Memoize filtered results const filteredProducts = useMemo(() => { return products.filter(p => p.category === category); }, [products, category]); // ✅ Memoize callback const handleAddToCart = useCallback((id: string) => { addToCart(id); }, []); return ( <div> {filteredProducts.map(product => ( <ProductCard key={product.id} product={product} onAdd={handleAddToCart} /> ))} </div> ); }
Lazy Loading & Code Splitting:
import { lazy, Suspense } from 'react'; // ✅ Route-based code splitting const Dashboard = lazy(() => import('./pages/Dashboard')); const Profile = lazy(() => import('./pages/Profile')); const Settings = lazy(() => import('./pages/Settings')); function App() { return ( <Suspense fallback={<div>Loading...</div>}> <Routes> <Route path="/dashboard" element={<Dashboard />} /> <Route path="/profile" element={<Profile />} /> <Route path="/settings" element={<Settings />} /> </Routes> </Suspense> ); } // ✅ Component-based lazy loading const HeavyChart = lazy(() => import('./components/HeavyChart')); function Dashboard() { return ( <div> <h1>Dashboard</h1> <Suspense fallback={<Skeleton />}> <HeavyChart data={data} /> </Suspense> </div> ); }
Step 3: Optimize bundle size
Webpack Bundle Analyzer:
npm install --save-dev webpack-bundle-analyzer # package.json { "scripts": { "analyze": "webpack-bundle-analyzer build/stats.json" } }
Tree Shaking (remove unused code):
// ❌ Bad: import entire library import _ from 'lodash'; // ✅ Good: import only what you need import debounce from 'lodash/debounce';
Dynamic Imports:
// ✅ Load only when needed button.addEventListener('click', async () => { const { default: Chart } = await import('chart.js'); new Chart(ctx, config); });
Step 4: Optimize images
Next.js Image component:
import Image from 'next/image'; function ProductImage() { return ( <Image src="/product.jpg" alt="Product" width={500} height={500} priority // for the LCP image placeholder="blur" // blur placeholder sizes="(max-width: 768px) 100vw, 50vw" /> ); }
Use WebP format:
<picture> <source srcset="image.webp" type="image/webp"> <source srcset="image.jpg" type="image/jpeg"> <img src="image.jpg" alt="Fallback"> </picture>
Step 5: Optimize database queries
Fix the N+1 query problem:
// ❌ Bad: N+1 queries const posts = await db.post.findMany(); for (const post of posts) { const author = await db.user.findUnique({ where: { id: post.authorId } }); // 101 queries (1 + 100) } // ✅ Good: JOIN or include const posts = await db.post.findMany({ include: { author: true } }); // 1 query
Add indexes:
-- Identify slow queries EXPLAIN ANALYZE SELECT * FROM users WHERE email = 'test@example.com'; -- Add index CREATE INDEX idx_users_email ON users(email); -- Composite index CREATE INDEX idx_orders_user_date ON orders(user_id, created_at);
Caching (Redis):
async function getUserProfile(userId: string) { // 1. Check cache const cached = await redis.get(`user:${userId}`); if (cached) { return JSON.parse(cached); } // 2. Query DB const user = await db.user.findUnique({ where: { id: userId } }); // 3. Store in cache (1 hour) await redis.setex(`user:${userId}`, 3600, JSON.stringify(user)); return user; }
Output format
Performance optimization checklist
## Frontend - [ ] Prevent unnecessary re-renders with React.memo - [ ] Use useMemo/useCallback appropriately - [ ] Lazy loading & Code splitting - [ ] Optimize images (WebP, lazy loading) - [ ] Analyze and reduce bundle size ## Backend - [ ] Remove N+1 queries - [ ] Add database indexes - [ ] Redis caching - [ ] Compress API responses (gzip) - [ ] Use a CDN ## Measurement - [ ] Lighthouse score 90+ - [ ] LCP < 2.5s - [ ] FID < 100ms - [ ] CLS < 0.1
Constraints
Required rules (MUST)
- Measure first: profile, don't guess
- Incremental improvements: optimize one thing at a time
- Performance monitoring: track continuously
Prohibited items (MUST NOT)
- Premature optimization: don't optimize when there is no bottleneck
- Sacrificing readability: don't make code complex for performance
Best practices
- 80/20 rule: 80% improvement with 20% effort
- User-centered: focus on improving real user experience
- Automation: performance regression tests in CI
References
Metadata
Version
- Current version: 1.0.0
- Last updated: 2025-01-01
- Compatible platforms: Claude, ChatGPT, Gemini
Related skills
Tags
#performance #optimization #React #caching #lazy-loading #web-vitals #code-quality