web-performance-optimization

# Web Performance Audit

Your knowledge of web performance metrics, thresholds, and tooling APIs may be outdated. **Prefer retrieval over pre-training** when citing specific numbers or recommendations.

## Retrieval Sources

| Source | How to retrieve | Use for |
|--------|----------------|---------|
| web.dev | `https://web.dev/articles/vitals` | Core Web Vitals thresholds, definitions |
| Chrome DevTools docs | `https://developer.chrome.com/docs/devtools/performance` | Tooling APIs, trace analysis |
| Lighthouse scoring | `https://developer.chrome.com/docs/lighthouse/performance/performance-scoring` | Score weights, metric thresholds |

## FIRST: Verify MCP Tools Available

**Run this before starting.** Try calling `navigate_page` or `performance_start_trace`. If unavailable, STOP—the chrome-devtools MCP server isn't configured.

Ask the user to add this to their MCP config:

```json
"chrome-devtools": {
  "type": "local",
  "command": ["npx", "-y", "chrome-devtools-mcp@latest"]
}
```

## Key Guidelines

- **Be assertive**: Verify claims by checking network requests, DOM, or codebase—then state findings definitively.
- **Verify before recommending**: Confirm something is unused before suggesting removal.
- **Quantify impact**: Use estimated savings from insights. Don't prioritize changes with 0ms impact.
- **Skip non-issues**: If render-blocking resources have 0ms estimated impact, note but don't recommend action.
- **Be specific**: Say "compress hero.png (450KB) to WebP" not "optimize images".
- **Prioritize ruthlessly**: A site with 200ms LCP and 0 CLS is already excellent—say so.

## Quick Reference

| Task | Tool Call |
|------|-----------|
| Load page | `navigate_page(url: "...")` |
| Start trace | `performance_start_trace(autoStop: true, reload: true)` |
| Analyze insight | `performance_analyze_insight(insightSetId: "...", insightName: "...")` |
| List requests | `list_network_requests(resourceTypes: ["Script", "Stylesheet", ...])` |
| Request details | `get_network_request(reqid: <id>)` |
| A11y snapshot | `take_snapshot(verbose: true)` |

## Workflow

Copy this checklist to track progress:

```
Audit Progress:
- [ ] Phase 1: Performance trace (navigate + record)
- [ ] Phase 2: Core Web Vitals analysis (includes CLS culprits)
- [ ] Phase 3: Network analysis
- [ ] Phase 4: Accessibility snapshot
- [ ] Phase 5: Codebase analysis (skip if third-party site)
```

### Phase 1: Performance Trace

1. Navigate to the target URL:
   ```
   navigate_page(url: "<target-url>")
   ```

2. Start a performance trace with reload to capture cold-load metrics:
   ```
   performance_start_trace(autoStop: true, reload: true)
   ```

3. Wait for trace completion, then retrieve results.

**Troubleshooting:**
- If trace returns empty or fails, verify the page loaded correctly with `navigate_page` first
- If insight names don't match, inspect the trace response to list available insights

### Phase 2: Core Web Vitals Analysis

Use `performance_analyze_insight` to extract key metrics.

**Note:** Insight names may vary across Chrome DevTools versions. If an insight name doesn't work, check the `insightSetId` from the trace response to discover available insights.

Common insight names:

| Metric | Insight Name | What to Look For |
|--------|--------------|------------------|
| LCP | `LCPBreakdown` | Time to largest contentful paint; breakdown of TTFB, resource load, render delay |
| CLS | `CLSCulprits` | Elements causing layout shifts (images without dimensions, injected content, font swaps) |
| Render Blocking | `RenderBlocking` | CSS/JS blocking first paint |
| Document Latency | `DocumentLatency` | Server response time issues |
| Network Dependencies | `NetworkRequestsDepGraph` | Request chains delaying critical resources |

Example:
```
performance_analyze_insight(insightSetId: "<id-from-trace>", insightName: "LCPBreakdown")
```

**Key thresholds (good/needs-improvement/poor):**
- TTFB: < 800ms / < 1.8s / > 1.8s
- FCP: < 1.8s / < 3s / > 3s
- LCP: < 2.5s / < 4s / > 4s
- INP: < 200ms / < 500ms / > 500ms
- TBT: < 200ms / < 600ms / > 600ms
- CLS: < 0.1 / < 0.25 / > 0.25
- Speed Index: < 3.4s / < 5.8s / > 5.8s

### Phase 3: Network Analysis

List all network requests to identify optimization opportunities:
```
list_network_requests(resourceTypes: ["Script", "Stylesheet", "Document", "Font", "Image"])
```

**Look for:**

1. **Render-blocking resources**: JS/CSS in `<head>` without `async`/`defer`/`media` attributes
2. **Network chains**: Resources discovered late because they depend on other resources loading first (e.g., CSS imports, JS-loaded fonts)
3. **Missing preloads**: Critical resources (fonts, hero images, key scripts) not preloaded
4. **Caching issues**: Missing or weak `Cache-Control`, `ETag`, or `Last-Modified` headers
5. **Large payloads**: Uncompressed or oversized JS/CSS bundles
6. **Unused preconnects**: If flagged, verify by checking if ANY requests went to that origin. If zero requests, it's definitively unused—recommend removal. If requests exist but loaded late, the preconnect may still be valuable.

For detailed request info:
```
get_network_request(reqid: <id>)
```

### Phase 4: Accessibility Snapshot

Take an accessibility tree snapshot:
```
take_snapshot(verbose: true)
```

**Flag high-level gaps:**
- Missing or duplicate ARIA IDs
- Elements with poor contrast ratios (check against WCAG AA: 4.5:1 for normal text, 3:1 for large text)
- Focus traps or missing focus indicators
- Interactive elements without accessible names

## Phase 5: Codebase Analysis

**Skip if auditing a third-party site without codebase access.**

Analyze the codebase to understand where improvements can be made.

### Detect Framework & Bundler

Search for configuration files to identify the stack:

| Tool | Config Files |
|------|--------------|
| Webpack | `webpack.config.js`, `webpack.*.js` |
| Vite | `vite.config.js`, `vite.config.ts` |
| Rollup | `rollup.config.js`, `rollup.config.mjs` |
| esbuild | `esbuild