Web Performance Engine

Complete web performance optimization system. Audit, diagnose, fix, and monitor — no external tools required (but integrates with Lighthouse, WebPageTest, Chrome DevTools when available).

3,891 stars

Best use case

Web Performance Engine is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Complete web performance optimization system. Audit, diagnose, fix, and monitor — no external tools required (but integrates with Lighthouse, WebPageTest, Chrome DevTools when available).

Complete web performance optimization system. Audit, diagnose, fix, and monitor — no external tools required (but integrates with Lighthouse, WebPageTest, Chrome DevTools when available).

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "Web Performance Engine" skill to help with this workflow task. Context: Complete web performance optimization system. Audit, diagnose, fix, and monitor — no external tools required (but integrates with Lighthouse, WebPageTest, Chrome DevTools when available).

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/afrexai-web-performance-engine/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1kalin/afrexai-web-performance-engine/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/afrexai-web-performance-engine/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Web Performance Engine Compares

Feature / AgentWeb Performance EngineStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Complete web performance optimization system. Audit, diagnose, fix, and monitor — no external tools required (but integrates with Lighthouse, WebPageTest, Chrome DevTools when available).

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Web Performance Engine

Complete web performance optimization system. Audit, diagnose, fix, and monitor — no external tools required (but integrates with Lighthouse, WebPageTest, Chrome DevTools when available).

## Phase 1: Performance Audit

### Quick Health Check

Run these checks in order. Stop when you find the bottleneck tier.

**Tier 1 — Critical (blocks rendering):**
- [ ] Time to First Byte (TTFB) > 800ms → server problem
- [ ] First Contentful Paint (FCP) > 1.8s → render-blocking resources
- [ ] Largest Contentful Paint (LCP) > 2.5s → hero element problem
- [ ] Total Blocking Time (TBT) > 200ms → JavaScript problem
- [ ] Cumulative Layout Shift (CLS) > 0.1 → layout instability
- [ ] Interaction to Next Paint (INP) > 200ms → event handler problem

**Tier 2 — Important (affects experience):**
- [ ] Page weight > 2MB
- [ ] Requests > 80
- [ ] JavaScript > 500KB (compressed)
- [ ] Images > 1MB total
- [ ] No compression (gzip/brotli)
- [ ] No caching headers

**Tier 3 — Polish (competitive edge):**
- [ ] Speed Index > 3.4s
- [ ] Time to Interactive > 3.8s
- [ ] Font loading causes flash
- [ ] Third-party scripts > 30% of JS

### Audit Brief Template

```yaml
audit:
  url: ""
  device: "mobile"  # mobile | desktop | both
  connection: "4G"  # 3G | 4G | fiber
  region: ""        # closest to target users
  
scores:
  performance: null  # 0-100
  fcp_ms: null
  lcp_ms: null
  tbt_ms: null
  cls: null
  inp_ms: null
  ttfb_ms: null
  
page_weight:
  total_kb: null
  html_kb: null
  css_kb: null
  js_kb: null
  images_kb: null
  fonts_kb: null
  other_kb: null
  
requests:
  total: null
  by_type: {}
  third_party_count: null
  third_party_kb: null
```

### Getting Metrics Without Tools

If no Lighthouse/DevTools available, use web-based tools:
1. `web_fetch "https://pagespeed.web.dev/analysis?url={encoded_url}"` — Google's free tool
2. `web_search "webpagetest {url}"` — find cached results
3. `web_search "site:{domain} core web vitals"` — find CrUX data
4. Check `<head>` for obvious issues: render-blocking CSS/JS, missing preloads, no meta viewport

## Phase 2: Diagnosis — The Performance Waterfall

### Critical Rendering Path Analysis

```
DNS → TCP → TLS → TTFB → HTML Parse → CSSOM → Render Tree → FCP → LCP
                                ↓
                         JS Download → Parse → Execute → INP
```

**Bottleneck Decision Tree:**

```
High TTFB (>800ms)?
├─ YES → Phase 3A: Server optimization
└─ NO → High FCP (>1.8s)?
    ├─ YES → Phase 3B: Render-blocking resources
    └─ NO → High LCP (>2.5s)?
        ├─ YES → Phase 3C: Hero element optimization
        └─ NO → High TBT (>200ms)?
            ├─ YES → Phase 3D: JavaScript optimization
            └─ NO → High CLS (>0.1)?
                ├─ YES → Phase 3E: Layout stability
                └─ NO → High INP (>200ms)?
                    ├─ YES → Phase 3F: Interaction optimization
                    └─ NO → ✅ Performance is good!
```

### Resource Impact Scoring

Rate each resource by impact:

| Factor | Weight | Score 1 | Score 3 | Score 5 |
|--------|--------|---------|---------|---------|
| Size (KB) | 3x | <10 | 10-100 | >100 |
| Render-blocking | 5x | No | Partial | Full |
| Above-fold impact | 4x | None | Indirect | Direct |
| Cacheable | 2x | Long cache | Short cache | No cache |
| Compressible | 2x | Already done | Possible | Not compressed |

**Priority = Sum(Factor × Weight). Fix highest scores first.**

## Phase 3: Fix Playbooks

### 3A: Server Optimization (TTFB)

**Quick wins:**
```
# CDN: If no CDN, this is #1 priority
# Check: curl -sI {url} | grep -i 'x-cache\|cf-cache\|x-cdn'

# Compression: Must have brotli or gzip
# Check: curl -sI -H "Accept-Encoding: br,gzip" {url} | grep -i content-encoding

# HTTP/2 or HTTP/3
# Check: curl -sI --http2 {url} | head -1
```

**Server-side checklist:**
- [ ] CDN in front (Cloudflare, Fastly, CloudFront)
- [ ] Brotli compression enabled (20-30% smaller than gzip)
- [ ] HTTP/2 minimum, HTTP/3 if possible
- [ ] Server-side caching (Redis, Varnish)
- [ ] Database query optimization (<50ms per query)
- [ ] Connection pooling enabled
- [ ] Edge computing for dynamic content (Workers, Lambda@Edge)

**Cache headers template:**
```
# Static assets (CSS, JS, images, fonts)
Cache-Control: public, max-age=31536000, immutable

# HTML pages
Cache-Control: public, max-age=0, must-revalidate

# API responses
Cache-Control: private, max-age=60, stale-while-revalidate=300
```

### 3B: Render-Blocking Resources (FCP)

**CSS optimization:**
```html
<!-- BEFORE: Render-blocking -->
<link rel="stylesheet" href="styles.css">

<!-- AFTER: Critical CSS inline + async load -->
<style>/* Critical above-fold CSS here (< 14KB) */</style>
<link rel="preload" href="styles.css" as="style" onload="this.onload=null;this.rel='stylesheet'">
<noscript><link rel="stylesheet" href="styles.css"></noscript>
```

**Rules:**
- Inline critical CSS (above-fold styles, < 14KB)
- Defer non-critical CSS
- Remove unused CSS (typical savings: 60-90%)
- Combine media queries
- Avoid `@import` (creates sequential loading)

**JavaScript optimization:**
```html
<!-- BEFORE: Render-blocking -->
<script src="app.js"></script>

<!-- AFTER: Non-blocking -->
<script src="app.js" defer></script>

<!-- OR: Independent scripts -->
<script src="analytics.js" async></script>
```

**Rules:**
- `defer` for app scripts (maintains order, runs after parse)
- `async` for independent scripts (analytics, ads)
- Never put `<script>` in `<head>` without defer/async
- Inline small scripts (< 1KB)

### 3C: Hero Element Optimization (LCP)

**LCP element types and fixes:**

| LCP Element | Fix |
|------------|-----|
| `<img>` | Preload + responsive + modern format |
| `<video>` poster | Preload poster image |
| CSS `background-image` | Preload + inline critical CSS |
| Text block | Preload font + font-display: optional |

**Image optimization checklist:**
```html
<!-- Optimal hero image -->
<link rel="preload" as="image" href="hero.webp" 
      imagesrcset="hero-400.webp 400w, hero-800.webp 800w, hero-1200.webp 1200w"
      imagesizes="100vw">

<img src="hero.webp" 
     srcset="hero-400.webp 400w, hero-800.webp 800w, hero-1200.webp 1200w"
     sizes="100vw"
     width="1200" height="600"
     alt="Hero description"
     fetchpriority="high"
     decoding="async">
```

**Image format decision:**
```
Photo/complex image? → WebP (25-35% smaller than JPEG)
                     → AVIF (50% smaller, but slower encode)
Simple graphic/logo? → SVG (scalable, tiny)
                    → PNG only if transparency needed
Animation?          → WebM/MP4 video (not GIF — 90% smaller)
```

**Image size targets:**
| Viewport | Max width | Target KB |
|----------|-----------|-----------|
| Mobile | 400px | < 50KB |
| Tablet | 800px | < 100KB |
| Desktop | 1200px | < 150KB |
| Hero/banner | 1600px | < 200KB |

### 3D: JavaScript Optimization (TBT)

**Bundle analysis approach:**
1. Check total JS size: `web_fetch` the page, count `<script>` tags
2. Identify large libraries (React, Lodash, Moment.js)
3. Check for duplicate code across bundles
4. Identify unused exports

**Common JS bloat and replacements:**

| Library | Size | Alternative | Size |
|---------|------|-------------|------|
| moment.js | 67KB | date-fns | 2-10KB |
| lodash (full) | 71KB | lodash-es (tree-shake) | 2-5KB |
| jQuery | 87KB | vanilla JS | 0KB |
| animate.css | 80KB | CSS animations | 1-2KB |
| chart.js | 60KB | lightweight-charts | 40KB |

**Code splitting rules:**
- Route-based splitting (each page loads its own JS)
- Component-level splitting for heavy components (modals, editors, charts)
- Dynamic import for below-fold features: `const Chart = lazy(() => import('./Chart'))`
- Vendor chunk for stable dependencies (changes rarely = long cache)

**Long task breaking:**
```javascript
// BEFORE: Blocks main thread 200ms+
function processLargeList(items) {
  items.forEach(item => heavyComputation(item));
}

// AFTER: Yields to main thread
async function processLargeList(items) {
  for (const item of items) {
    heavyComputation(item);
    // Yield every 50ms
    if (performance.now() - start > 50) {
      await scheduler.yield(); // or setTimeout(0)
      start = performance.now();
    }
  }
}
```

### 3E: Layout Stability (CLS)

**Top CLS causes and fixes:**

| Cause | Fix |
|-------|-----|
| Images without dimensions | Always set `width` + `height` |
| Ads/embeds without space | Reserve space with `aspect-ratio` or `min-height` |
| Dynamic content injection | Use CSS `contain` or reserved space |
| Web fonts causing reflow | `font-display: optional` or `swap` with size-adjust |
| Late-loading CSS | Inline critical CSS |

**Anti-CLS patterns:**
```css
/* Reserve space for dynamic content */
.ad-slot { min-height: 250px; }
.embed-container { aspect-ratio: 16/9; }

/* Prevent font swap reflow */
@font-face {
  font-family: 'Brand';
  src: url('brand.woff2') format('woff2');
  font-display: optional; /* No swap = no shift */
  size-adjust: 105%; /* Match fallback metrics */
}

/* Contain layout shifts */
.dynamic-widget {
  contain: layout;
  min-height: 200px;
}
```

### 3F: Interaction Optimization (INP)

**Event handler rules:**
- Keep handlers < 50ms
- Debounce scroll/resize (100-150ms)
- Use `requestAnimationFrame` for visual updates
- Offload heavy computation to Web Workers
- Use `content-visibility: auto` for off-screen content

**Input responsiveness:**
```javascript
// BEFORE: Blocks during type
input.addEventListener('input', (e) => {
  expensiveFilter(e.target.value); // 100ms+ 
});

// AFTER: Debounced + visual feedback
input.addEventListener('input', (e) => {
  showSpinner(); // Instant visual feedback
  debounce(() => expensiveFilter(e.target.value), 150);
});
```

## Phase 4: Resource Loading Strategy

### Preload / Prefetch / Preconnect Decision

```html
<!-- Preconnect: Third-party origins you'll need soon -->
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://cdn.example.com" crossorigin>

<!-- DNS-prefetch: Third-party origins you might need -->
<link rel="dns-prefetch" href="https://analytics.example.com">

<!-- Preload: Critical resources for THIS page -->
<link rel="preload" href="critical.css" as="style">
<link rel="preload" href="hero.webp" as="image">
<link rel="preload" href="brand.woff2" as="font" type="font/woff2" crossorigin>

<!-- Prefetch: Resources for NEXT page (low priority) -->
<link rel="prefetch" href="/next-page.js">

<!-- Modulepreload: ES modules -->
<link rel="modulepreload" href="app.mjs">
```

**Rules:**
- Max 3-5 preloads per page (more = competing priorities)
- Always preload: LCP image, critical font, above-fold CSS
- Preconnect to known third-party origins (max 4-6)
- Prefetch only on fast connections

### Lazy Loading Strategy

```
Above fold (viewport):     fetchpriority="high", no lazy
Below fold (1-2 screens):  loading="lazy", decoding="async"
Way below fold:            Intersection Observer, load on demand
Off-screen widgets:        content-visibility: auto
```

### Font Loading Optimization

```css
/* Optimal font loading */
@font-face {
  font-family: 'Brand';
  src: url('brand.woff2') format('woff2');
  font-display: swap;
  unicode-range: U+0000-00FF; /* Latin only if applicable */
}
```

**Font checklist:**
- [ ] WOFF2 format only (best compression)
- [ ] Subset fonts (Latin, extended only if needed)
- [ ] Max 2-3 font families
- [ ] Max 4 font files total (regular, bold, italic, bold-italic)
- [ ] Preload critical font files
- [ ] Consider system font stack for body text

**System font stacks:**
```css
/* Modern system fonts — zero network cost */
font-family: system-ui, -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;

/* Monospace */
font-family: ui-monospace, 'Cascadia Code', 'Source Code Pro', Menlo, monospace;
```

## Phase 5: Third-Party Script Management

### Impact Assessment

```yaml
third_party_audit:
  - script: "Google Analytics 4"
    size_kb: 45
    blocks_render: false
    loads_more_scripts: true
    total_impact_kb: 90
    essential: true
    mitigation: "gtag async, delay until interaction"
    
  - script: "Intercom chat widget"
    size_kb: 200
    blocks_render: false
    loads_more_scripts: true
    total_impact_kb: 450
    essential: false
    mitigation: "Load on scroll/click, not page load"
```

**Third-party loading strategies:**
```javascript
// Strategy 1: Load on interaction
document.addEventListener('scroll', () => {
  loadThirdParty('chat-widget.js');
}, { once: true });

// Strategy 2: Load after page is idle
requestIdleCallback(() => {
  loadThirdParty('analytics.js');
});

// Strategy 3: Facade pattern (show placeholder until needed)
chatButton.addEventListener('click', () => {
  loadThirdParty('intercom.js').then(() => Intercom('show'));
});
```

**Rules:**
- Audit ALL third-party scripts quarterly
- Every script needs a business justification
- If a script loads >100KB, it needs a loading strategy
- Self-host what you can (fonts, analytics alternatives)
- Use `rel="noopener"` on all external links

## Phase 6: Mobile Performance

### Mobile-Specific Optimization

**Targets (mobile on 4G):**
| Metric | Good | Needs Work | Poor |
|--------|------|------------|------|
| FCP | < 1.8s | 1.8-3.0s | > 3.0s |
| LCP | < 2.5s | 2.5-4.0s | > 4.0s |
| TBT | < 200ms | 200-600ms | > 600ms |
| CLS | < 0.1 | 0.1-0.25 | > 0.25 |
| INP | < 200ms | 200-500ms | > 500ms |

**Mobile-specific checklist:**
- [ ] Viewport meta tag present
- [ ] Touch targets ≥ 48×48px
- [ ] No horizontal scroll
- [ ] Images responsive (srcset + sizes)
- [ ] JS budget < 300KB (compressed) on mobile
- [ ] Critical CSS < 14KB (fits in first TCP round trip)
- [ ] Avoid complex CSS (heavy animations, large box-shadows)

## Phase 7: Performance Budget

### Setting Budgets

```yaml
performance_budget:
  metrics:
    lcp_ms: 2500
    fcp_ms: 1800
    tbt_ms: 200
    cls: 0.1
    inp_ms: 200
    
  resources:
    total_kb: 1500
    js_kb: 350
    css_kb: 80
    images_kb: 800
    fonts_kb: 100
    
  requests:
    total: 60
    third_party: 15
    
  lighthouse:
    performance: 90
    accessibility: 90
    best_practices: 90
    seo: 90
```

**Budget enforcement rules:**
- Any PR that increases JS by >10KB needs justification
- LCP regression > 200ms blocks deploy
- Monthly Lighthouse audit — track trend
- Per-route budgets for SPAs (homepage stricter than admin)

### Budget Monitoring Template

```yaml
# Weekly performance check
date: "YYYY-MM-DD"
url: ""
device: "mobile"

scores:
  lighthouse: null
  lcp: null
  fcp: null
  tbt: null
  cls: null

trend: "improving | stable | degrading"
regressions: []
actions: []
```

## Phase 8: Performance Scoring Rubric

Rate the site 0-100:

| Dimension | Weight | 0-2 | 3-4 | 5 |
|-----------|--------|-----|-----|---|
| Core Web Vitals | 25% | All red | Mixed | All green |
| Page weight | 15% | >5MB | 2-5MB | <2MB |
| Caching strategy | 15% | None | Partial | Full with immutable |
| Render path | 15% | Multiple blockers | Some optimized | Clean critical path |
| Image optimization | 10% | Unoptimized | Partially | WebP/AVIF + responsive |
| JavaScript health | 10% | >1MB, no splitting | Some splitting | <350KB, code-split |
| Third-party control | 5% | Unmanaged | Some deferred | All managed + budgeted |
| Mobile experience | 5% | Desktop-only | Responsive | Mobile-first optimized |

**Score interpretation:**
- 90-100: Elite. Maintain and iterate.
- 70-89: Good. Fix the weakest dimension.
- 50-69: Needs work. Follow Phase 3 playbooks.
- <50: Critical. Start with server + render-blocking fixes.

## Phase 9: Common Architectures — Quick Wins

### Next.js / React
- Use `next/image` (auto WebP, lazy, blur placeholder)
- Enable ISR or SSG for static pages
- Use `dynamic()` for heavy components
- Check bundle with `@next/bundle-analyzer`
- Middleware for edge caching

### WordPress
- Page cache plugin (WP Super Cache, W3 Total Cache)
- Image optimization (ShortPixel, Imagify)
- Disable unused plugins (each adds JS+CSS)
- Use a CDN plugin
- Consider static generation (Simply Static)

### SPA (React/Vue/Svelte)
- Route-based code splitting (mandatory)
- SSR or SSG for SEO pages
- Service worker for repeat visits
- Skeleton screens (not spinners)
- Virtual scrolling for long lists

### Static Sites
- Already fast — focus on image optimization
- Deploy to CDN edge (Cloudflare Pages, Netlify, Vercel)
- Inline all critical CSS
- Minimal JS (< 50KB)

## Phase 10: Advanced Techniques

### Service Worker Caching

```javascript
// Cache-first for static assets
self.addEventListener('fetch', (event) => {
  if (event.request.url.match(/\.(css|js|woff2|webp|avif)$/)) {
    event.respondWith(
      caches.match(event.request).then(cached => cached || fetch(event.request))
    );
  }
});
```

### Resource Hints for Navigation

```javascript
// Predictive prefetch on hover
document.querySelectorAll('a').forEach(link => {
  link.addEventListener('mouseenter', () => {
    const prefetch = document.createElement('link');
    prefetch.rel = 'prefetch';
    prefetch.href = link.href;
    document.head.appendChild(prefetch);
  }, { once: true });
});
```

### Performance Monitoring in Production

```javascript
// Report Core Web Vitals
new PerformanceObserver((list) => {
  for (const entry of list.getEntries()) {
    // Send to analytics
    sendToAnalytics({
      metric: entry.name,
      value: entry.value,
      rating: entry.rating, // "good" | "needs-improvement" | "poor"
    });
  }
}).observe({ type: 'largest-contentful-paint', buffered: true });
```

### Edge Cases

**Infinite scroll / pagination:**
- Virtual scrolling for >100 items
- Intersection Observer to load batches
- `content-visibility: auto` for off-screen items
- Memory management: remove far-off-screen DOM nodes

**SPAs with client-side routing:**
- Measure soft navigations (not just initial load)
- Report per-route metrics
- Prefetch likely next routes
- Keep route JS < 100KB each

**E-commerce product pages:**
- Preload first product image
- Lazy load review section, related products
- Defer recommendation engine JS
- Cache product data with stale-while-revalidate

**Media-heavy sites:**
- Lazy load everything below fold
- Use `<video>` not GIF (90% smaller)
- Adaptive quality based on connection (Network Information API)
- Progressive JPEG for large photos

## Natural Language Commands

- "Audit {url}" → Run full Phase 1 audit
- "Fix LCP on {url}" → Phase 3C playbook
- "What's slowing down {url}?" → Phase 2 diagnosis tree
- "Set performance budget for {project}" → Phase 7 template
- "Score {url}" → Phase 8 rubric
- "Optimize images on {url}" → Phase 3C image checklist
- "Reduce JavaScript on {url}" → Phase 3D JS optimization
- "Fix layout shifts on {url}" → Phase 3E CLS playbook
- "Mobile performance audit for {url}" → Phase 6
- "Third-party script audit for {url}" → Phase 5
- "Weekly performance check for {url}" → Phase 7 monitoring template
- "Compare {url1} vs {url2}" → Side-by-side audit

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