web-perf
The web-perf skill audits web performance using Chrome DevTools MCP, measuring Core Web Vitals (LCP, INP, CLS) and supplementary metrics while identifying render-blocking resources, network bottlenecks, layout shifts, caching problems, and accessibility gaps. Use this skill when asked to audit page load performance, debug speed issues, optimize Lighthouse scores, or profile site performance characteristics.
git clone --depth 1 https://github.com/secondsky/sap-skills /tmp/web-perf && cp -r /tmp/web-perf/.agents/skills/web-perf ~/.claude/skills/web-perfSKILL.md
# 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Your knowledge of web performance metrics, thresholds, and tooling APIs may be outdated.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 | `esbuildAnalyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommendations, wants to optimize their Claude Code setup, mentions improving Claude Code workflows, asks how to first set up Claude Code for a project, or wants to know what Claude Code features they should use.
Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project memory optimization".
Secure dependency upgrades with supply chain protection, cooldowns, and staged rollout. Use when upgrading deps, configuring security policies, or preventing supply chain attacks.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Comprehensive SAP ABAP CDS (Core Data Services) reference for data modeling, view development, and semantic enrichment. Use when creating CDS views or view entities, defining data models with annotations, working with associations and cardinality, implementing input parameters, using built-in functions, writing CASE expressions, implementing access control with DCL, handling CURR/QUAN data types, troubleshooting CDS errors, querying CDS views from ABAP, or displaying data with SALV IDA. Covers ABAP 7.4+ through ABAP Cloud.
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