web-performance-optimization
/web-performance-optimization
Optimizes web application performance through code splitting, lazy loading, caching strategies, and Core Web Vitals monitoring. Use when improving page load times, implementing service workers, or reducing bundle sizes.
- Author
- secondsky ↗
- Repository
- claude-skills ↗
- Licence
- MIT
- Last repository change
- 26.09.2026
Assessment and security
- Files in this package
- 3
- Scripts
- 0
- HTML comments
- 0
- URLs in SKILL.md
- 5
No signals detected. Repository changed on 26.09.2026, without references to retired models or APIs.
MIT, open: use and modify while retaining author attribution.
What it does and when to use it
Optimizes web application performance through code splitting, lazy loading, caching strategies, and Core Web Vitals monitoring. Use when improving page load times, implementing service workers, or reducing bundle sizes.
Original author description
Optimizes web application performance through code splitting, lazy loading, caching strategies, and Core Web Vitals monitoring. Use when improving page load times, implementing service workers, or reducing bundle sizes.
How it works
- Overview
- When to Use
- Code Splitting (React)
- Webpack Bundle Optimization
- Image Optimization
- Service Worker Caching
- Core Web Vitals Monitoring
- Performance Targets
- Compression (Nginx)
- Best Practices
SKILL.md preview
---
name: web-performance-optimization
description: Optimizes web application performance through code splitting, lazy loading, caching strategies, and Core Web Vitals monitoring. Use when improving page load times, implementing service workers, or reducing bundle sizes.
license: MIT
---
# Web Performance Optimization
## Overview
Implement performance optimization strategies including lazy loading, code splitting, caching, compression, and monitoring to improve Core Web Vitals and user experience.
## When to Use
- Slow page load times
- High Largest Contentful Paint (LCP)
- Large bundle sizes
- Frequent Cumulative Layout Shift (CLS)
- Mobile performance issues
## Code Splitting (React)
```javascript
import { lazy, Suspense } from 'react';
import { Routes, Route } from 'react-router-dom';
const Home = lazy(() => import('./pages/Home'));
const Dashboard = lazy(() => import('./pages/Dashboard'));
const Settings = lazy(() => import('./pages/Settings'));
function App() {
return (
<Suspense fallback={<Loading />}>
<Routes>
<Route path="/" element={<Home />} />
<Route path="/dashboard" element={<Dashboard />} />
<Route path="/settings" element={<Settings />} />
</Routes>
</Suspense>
);
}
```
## Webpack Bundle Optimization
```javascript
// webpack.config.js
module.exports = {
optimization: {
splitChunks: {
chunks: 'all',
cacheGroups: {
vendor: {
test: /[\\/]node_modules[\\/]/,
name: 'vendors',
chunks: 'all'
}
}
}
}
};
```
## Image Optimization
```html
<picture>
<source srcset="image.webp" type="image/webp">
<source srcset="image.jpg" type="image/jpeg">
<img
src="image.jpg"
srcset="image-400.jpg 400w, image-800.jpg 800w, image-1200.jpg 1200w"
sizes="(max-width: 600px) 100vw, 50vw"
loading="lazy"
decoding="async"
alt="Description"
>
</picture>
```
## Service Worker Caching
```javascript
// sw.js
const CACHE_NAME = 'app-v1';
const ASSETS = ['/', '/index.html', '/main.js', '/styles.css'];
self.addEventListener('install', (event) => {
event.waitUntil(
caches.open(CACHE_NAME).then(cache => cache.addAll(ASSETS))
);
});
self.addEventListener('fetch', (event) => {
event.respondWith(
caches.match(event.request).then(cached => {
return cached || fetch(event.request).then(response => {
return caches.open(CACHE_NAME).then(cache => {
cache.put(event.request, response.clone());
return response;
});
});
})
);
});
```
## Core Web Vitals Monitoring
```javascript
// Track LCP, CLS, INP (Note: INP replaced FID as of March 2024)
// sendToAnalytics is a placeholder function that sends metrics to your analytics endpoint
// Expected signature: sendToAnalytics({ metric: string, value: number }) => void
// Example implementation:
function sendToAnalytics({ metric, value }) {
// Replace with your analytics implementation (e.g., Google Analytics, Segment)
fetch('/api/analytics', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ metric, value, timestamp: Date.now() })
});
}
// Largest Contentful Paint (LCP)
new PerformanceObserver((list) => {
for (const entry of list.getEntries()) {
console.log(`LCP: ${entry.startTime}ms`);
sendToAnalytics({ metric: 'LCP', value: entry.startTime });
}
}).observe({ type: 'largest-contentful-paint', buffered: true });
// Cumulative Layout Shift (CLS)
new PerformanceObserver((list) => {
let cls = 0;
for (const entry of list.getEntries()) {
if (!entry.hadRecentInput) cls += entry.value;
}
sendToAnalytics({ metric: 'CLS', value: cls });
}).observe({ type: 'layout-shift', buffered: true });
// Interaction to Next Paint (INP) - replaces FID
new PerformanceObserver((list) => {
for (const entry of list.getEntries()) {
// INP measures responsiveness - duration of slowest interaction
const inp = entry.processingEnd - entry.processingStart;
console.log(`INP: ${inp}ms`);
sendToAnalytics({ metric: 'INP', value: inp });
}
}).observe({ type: 'event', buffered: true }); // 'event' captures interaction events
```
## Performance Targets
| Metric | Good | Needs Improvement |
|--------|------|-------------------|
| LCP | <2.5s | 2.5-4s |
| INP | <200ms | 200-500ms |
| CLS | <0.1 | 0.1-0.25 |
| TTI | <3.8s | 3.8-7.3s |
**Note:** INP (Interaction to Next Paint) replaced FID (First Input Delay) as a Core Web Vital in March 2024. INP provides a more comprehensive measure of page responsiveness by capturing the full duration of interactions, not just the input delay.
## Compression (Nginx)
```nginx
gzip on;
gzip_types text/plain text/css application/json application/javascript;
gzip_min_length 1000;
gzip_comp_level 6;
```
## Best Practices
- Minimize bundle size with code splitting
- Optimize images with appropriate formats
- Implement lazy loading strategically
- Use HTTP caching headers
- Enable gzip/brotli compression
- Monitor Core Web Vitals continuously
- Implement service workers
- Defer non-critical JavaScript
- Optimize critical rendering path
- Test on real devices and networks
## Optimization Checklist
- [ ] Enable code splitting for routes
- [ ] Lazy load below-fold components
- [ ] Optimize and compress images
- [ ] Implement service worker caching
- [ ] Enable gzip/brotli compression
- [ ] Monitor Core Web Vitals
- [ ] Minimize render-blocking resources
## Additional Configuration
See [references/compression-monitoring.md](references/compression-monitoring.md) for:
- Webpack compression plugin setup
- Apache .htaccess compression config
- TTFB monitoring implementation
- Puppeteer automation for measurement
See [references/typescript-advanced.md](references/typescript-advanced.md) for:
- TypeScript lazyLoad utility
- TypeScript image component
- Advanced service worker with offline fallback
- TerserPlugin configuration
- Complete PerformanceMetrics interface
## Tools
- Lighthouse / PageSpeed Insights
- WebPageTest
- Chrome DevTools Performance tab
- web-vitals npm package
## Resources
- [Web Vitals](https://web.dev/vitals/)
- [Google PageSpeed Insights](https://pagespeed.web.dev/)
- [Lighthouse](https://developers.google.com/web/tools/lighthouse)
- [WebPageTest](https://www.webpagetest.org/)
- [Performance API](https://developer.mozilla.org/en-US/docs/Web/API/Performance)
Files in this package (3)
- SKILL.md 6 KB
- references/compression-monitoring.md 8 KB
- references/typescript-advanced.md 7 KB
Versions
| Repository | Score | Licence |
|---|---|---|
| This page · secondsky/claude-skills | 100 | MIT |
| kumaran-is/claude-code-onboarding | 100 | MIT |
Database snapshot: 13.11.2026 · package version 7cf007d8c627 (SHA-256 digest of the entire package)
Downloads in the last 30 days: 0 · ranking
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