Systematic approach to measuring, analyzing, and improving website loading speed and Core Web Vitals.
Works with
Covers five-step optimization workflow: establish baseline metrics with Lighthouse, identify bottlenecks (bundle size, images, render-blocking resources), prioritize high-impact fixes, implement improvements, and verify results
Addresses Core Web Vitals (LCP, FID, CLS) with specific code examples for image optimization, code splitting, lazy loading, and layout shift prevention
Includ
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionweb-performance-optimizationExecute the skills CLI command in your project's root directory to begin installation:
Fetches web-performance-optimization from sickn33/antigravity-awesome-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate web-performance-optimization. Access via /web-performance-optimization in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
I'll help you establish baseline metrics:
Analyze performance problems:
Focus on high-impact improvements:
Apply performance improvements:
Measure impact of changes:
## 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 ✅
## 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)
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
sickn33/antigravity-awesome-skills
supercent-io/skills-template
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
I recommend web-performance-optimization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for web-performance-optimization matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: web-performance-optimization is the kind of skill you can hand to a new teammate without a long onboarding doc.
web-performance-optimization is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
web-performance-optimization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
web-performance-optimization reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend web-performance-optimization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in web-performance-optimization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for web-performance-optimization matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend web-performance-optimization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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