web-performance-optimization
Optimize website and web application performance including loading speed, Core Web Vitals, bundle size, caching strategies, and runtime performance
Install
mkdir -p .claude/skills/web-performance-optimization && curl -L -o skill.zip "https://mcp.directory/api/skills/download/1026" && unzip -o skill.zip -d .claude/skills/web-performance-optimization && rm skill.zipInstalls to .claude/skills/web-performance-optimization
About this skill
Web Performance Optimization
Overview
Help developers optimize website and web application performance to improve user experience, SEO rankings, and conversion rates. This skill provides systematic approaches to measure, analyze, and improve loading speed, runtime performance, and Core Web Vitals metrics.
When to Use This Skill
- Use when website or app is loading slowly
- Use when optimizing for Core Web Vitals (LCP, FID, CLS)
- Use when reducing JavaScript bundle size
- Use when improving Time to Interactive (TTI)
- Use when optimizing images and assets
- Use when implementing caching strategies
- Use when debugging performance bottlenecks
- Use when preparing for performance audits
How It Works
Step 1: Measure Current Performance
I'll help you establish baseline metrics:
- Run Lighthouse audits
- Measure Core Web Vitals (LCP, FID, CLS)
- Check bundle sizes
- Analyze network waterfall
- Identify performance bottlenecks
Step 2: Identify Issues
Analyze performance problems:
- Large JavaScript bundles
- Unoptimized images
- Render-blocking resources
- Slow server response times
- Missing caching headers
- Layout shifts
- Long tasks blocking main thread
Step 3: Prioritize Optimizations
Focus on high-impact improvements:
- Critical rendering path optimization
- Code splitting and lazy loading
- Image optimization
- Caching strategies
- Third-party script optimization
Step 4: Implement Optimizations
Apply performance improvements:
- Optimize assets (images, fonts, CSS, JS)
- Implement code splitting
- Add caching headers
- Lazy load non-critical resources
- Optimize critical rendering path
Step 5: Verify Improvements
Measure impact of changes:
- Re-run Lighthouse audits
- Compare before/after metrics
- Monitor real user metrics (RUM)
- Test on different devices and networks
Examples
Example 1: Optimizing Core Web Vitals
## Performance Audit Results
### Current Metrics (Before Optimization)
- **LCP (Largest Contentful Paint):** 4.2s ❌ (should be < 2.5s)
- **FID (First Input Delay):** 180ms ❌ (should be < 100ms)
- **CLS (Cumulative Layout Shift):** 0.25 ❌ (should be < 0.1)
- **Lighthouse Score:** 62/100
### Issues Identified
1. **LCP Issue:** Hero image (2.5MB) loads slowly
2. **FID Issue:** Large JavaScript bundle (850KB) blocks main thread
3. **CLS Issue:** Images without dimensions cause layout shifts
### Optimization Plan
#### Fix LCP (Largest Contentful Paint)
**Problem:** Hero image is 2.5MB and loads slowly
**Solutions:**
\`\`\`html
<!-- Before: Unoptimized image -->
<img src="/hero.jpg" alt="Hero">
<!-- After: Optimized with modern formats -->
<picture>
<source srcset="/hero.avif" type="image/avif">
<source srcset="/hero.webp" type="image/webp">
<img
src="/hero.jpg"
alt="Hero"
width="1200"
height="600"
loading="eager"
fetchpriority="high"
>
</picture>
\`\`\`
**Additional optimizations:**
- Compress image to < 200KB
- Use CDN for faster delivery
- Preload hero image: `<link rel="preload" as="image" href="/hero.avif">`
#### Fix FID (First Input Delay)
**Problem:** 850KB JavaScript bundle blocks main thread
**Solutions:**
1. **Code Splitting:**
\`\`\`javascript
// Before: Everything in one bundle
import { HeavyComponent } from './HeavyComponent';
import { Analytics } from './analytics';
import { ChatWidget } from './chat';
// After: Lazy load non-critical code
const HeavyComponent = lazy(() => import('./HeavyComponent'));
const ChatWidget = lazy(() => import('./chat'));
// Load analytics after page interactive
if (typeof window !== 'undefined') {
window.addEventListener('load', () => {
import('./analytics').then(({ Analytics }) => {
Analytics.init();
});
});
}
\`\`\`
2. **Remove Unused Dependencies:**
\`\`\`bash
# Analyze bundle
npx webpack-bundle-analyzer
# Remove unused packages
npm uninstall moment # Use date-fns instead (smaller)
npm install date-fns
\`\`\`
3. **Defer Non-Critical Scripts:**
\`\`\`html
<!-- Before: Blocks rendering -->
<script src="/analytics.js"></script>
<!-- After: Deferred -->
<script src="/analytics.js" defer></script>
\`\`\`
#### Fix CLS (Cumulative Layout Shift)
**Problem:** Images without dimensions cause layout shifts
**Solutions:**
\`\`\`html
<!-- Before: No dimensions -->
<img src="/product.jpg" alt="Product">
<!-- After: With dimensions -->
<img
src="/product.jpg"
alt="Product"
width="400"
height="300"
style="aspect-ratio: 4/3;"
>
\`\`\`
**For dynamic content:**
\`\`\`css
/* Reserve space for content that loads later */
.skeleton-loader {
min-height: 200px;
background: linear-gradient(90deg, #f0f0f0 25%, #e0e0e0 50%, #f0f0f0 75%);
background-size: 200% 100%;
animation: loading 1.5s infinite;
}
@keyframes loading {
0% { background-position: 200% 0; }
100% { background-position: -200% 0; }
}
\`\`\`
### Results After Optimization
- **LCP:** 1.8s ✅ (improved by 57%)
- **FID:** 45ms ✅ (improved by 75%)
- **CLS:** 0.05 ✅ (improved by 80%)
- **Lighthouse Score:** 94/100 ✅
Example 2: Reducing JavaScript Bundle Size
## Bundle Size Optimization
### Current State
- **Total Bundle:** 850KB (gzipped: 280KB)
- **Main Bundle:** 650KB
- **Vendor Bundle:** 200KB
- **Load Time (3G):** 8.2s
### Analysis
\`\`\`bash
# Analyze bundle composition
npx webpack-bundle-analyzer dist/stats.json
\`\`\`
**Findings:**
1. Moment.js: 67KB (can replace with date-fns: 12KB)
2. Lodash: 72KB (using entire library, only need 5 functions)
3. Unused code: ~150KB of dead code
4. No code splitting: Everything in one bundle
### Optimization Steps
#### 1. Replace Heavy Dependencies
\`\`\`bash
# Remove moment.js (67KB) → Use date-fns (12KB)
npm uninstall moment
npm install date-fns
# Before
import moment from 'moment';
const formatted = moment(date).format('YYYY-MM-DD');
# After
import { format } from 'date-fns';
const formatted = format(date, 'yyyy-MM-dd');
\`\`\`
**Savings:** 55KB
#### 2. Use Lodash Selectively
\`\`\`javascript
// Before: Import entire library (72KB)
import _ from 'lodash';
const unique = _.uniq(array);
// After: Import only what you need (5KB)
import uniq from 'lodash/uniq';
const unique = uniq(array);
// Or use native methods
const unique = [...new Set(array)];
\`\`\`
**Savings:** 67KB
#### 3. Implement Code Splitting
\`\`\`javascript
// Next.js example
import dynamic from 'next/dynamic';
// Lazy load heavy components
const Chart = dynamic(() => import('./Chart'), {
loading: () => <div>Loading chart...</div>,
ssr: false
});
const AdminPanel = dynamic(() => import('./AdminPanel'), {
loading: () => <div>Loading...</div>
});
// Route-based code splitting (automatic in Next.js)
// pages/admin.js - Only loaded when visiting /admin
// pages/dashboard.js - Only loaded when visiting /dashboard
\`\`\`
#### 4. Remove Dead Code
\`\`\`javascript
// Enable tree shaking in webpack.config.js
module.exports = {
mode: 'production',
optimization: {
usedExports: true,
sideEffects: false
}
};
// In package.json
{
"sideEffects": false
}
\`\`\`
#### 5. Optimize Third-Party Scripts
\`\`\`html
<!-- Before: Loads immediately -->
<script src="https://analytics.com/script.js"></script>
<!-- After: Load after page interactive -->
<script>
window.addEventListener('load', () => {
const script = document.createElement('script');
script.src = 'https://analytics.com/script.js';
script.async = true;
document.body.appendChild(script);
});
</script>
\`\`\`
### Results
- **Total Bundle:** 380KB ✅ (reduced by 55%)
- **Main Bundle:** 180KB ✅
- **Vendor Bundle:** 80KB ✅
- **Load Time (3G):** 3.1s ✅ (improved by 62%)
Example 3: Image Optimization Strategy
## Image Optimization
### Current Issues
- 15 images totaling 12MB
- No modern formats (WebP, AVIF)
- No responsive images
- No lazy loading
### Optimization Strategy
#### 1. Convert to Modern Formats
\`\`\`bash
# Install image optimization tools
npm install sharp
# Conversion script (optimize-images.js)
const sharp = require('sharp');
const fs = require('fs');
const path = require('path');
async function optimizeImage(inputPath, outputDir) {
const filename = path.basename(inputPath, path.extname(inputPath));
// Generate WebP
await sharp(inputPath)
.webp({ quality: 80 })
.toFile(path.join(outputDir, \`\${filename}.webp\`));
// Generate AVIF (best compression)
await sharp(inputPath)
.avif({ quality: 70 })
.toFile(path.join(outputDir, \`\${filename}.avif\`));
// Generate optimized JPEG fallback
await sharp(inputPath)
.jpeg({ quality: 80, progressive: true })
.toFile(path.join(outputDir, \`\${filename}.jpg\`));
}
// Process all images
const images = fs.readdirSync('./images');
images.forEach(img => {
optimizeImage(\`./images/\${img}\`, './images/optimized');
});
\`\`\`
#### 2. Implement Responsive Images
\`\`\`html
<!-- Responsive images with modern formats -->
<picture>
<!-- AVIF for browsers that support it (best compression) -->
<source
srcset="
/images/hero-400.avif 400w,
/images/hero-800.avif 800w,
/images/hero-1200.avif 1200w
"
type="image/avif"
sizes="(max-width: 768px) 100vw, 50vw"
>
<!-- WebP for browsers that support it -->
<source
srcset="
/images/hero-400.webp 400w,
/images/hero-800.webp 800w,
/images/hero-1200.webp 1200w
"
type="image/webp"
sizes="(max-width: 768px) 100vw, 50vw"
>
<!-- JPEG fallback -->
<img
src="/images/hero-800.jpg"
srcset="
/images/hero-400.jpg 400w,
/images/hero-800.jpg 800w,
/images/hero-1200.jpg 1200w
"
sizes="(max-width: 768px) 100vw, 50vw"
alt="Hero image"
width="1200"
height="600"
loading="lazy"
>
</picture>
\`\`\`
#### 3. Lazy Loading
\`\`\`html
<!-- Native lazy loading -->
<img
src="/image.jpg"
alt="Description"
loading="lazy"
width="800"
height="600"
>
<!-
---
*Content truncated.*
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