Awesome-openclaw-skills web-perf

Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (FCP, LCP, TBT, CLS, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed.

install
source · Clone the upstream repo
git clone https://github.com/sundial-org/awesome-openclaw-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/sundial-org/awesome-openclaw-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/web-perf" ~/.claude/skills/sundial-org-awesome-openclaw-skills-web-perf && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/sundial-org/awesome-openclaw-skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/web-perf" ~/.openclaw/skills/sundial-org-awesome-openclaw-skills-web-perf && rm -rf "$T"
manifest: skills/web-perf/SKILL.md
source content

Web Performance Audit

Audit web page performance using Chrome DevTools MCP tools. This skill focuses on Core Web Vitals, network optimization, and high-level accessibility gaps.

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:

"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

TaskTool 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:

MetricInsight NameWhat 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:

ToolConfig Files
Webpack
webpack.config.js
,
webpack.*.js
Vite
vite.config.js
,
vite.config.ts
Rollup
rollup.config.js
,
rollup.config.mjs
esbuild
esbuild.config.js
, build scripts with
esbuild
Parcel
.parcelrc
,
package.json
(parcel field)
Next.js
next.config.js
,
next.config.mjs
Nuxt
nuxt.config.js
,
nuxt.config.ts
SvelteKit
svelte.config.js
Astro
astro.config.mjs

Also check

package.json
for framework dependencies and build scripts.

Tree-Shaking & Dead Code

  • Webpack: Check for
    mode: 'production'
    ,
    sideEffects
    in package.json,
    usedExports
    optimization
  • Vite/Rollup: Tree-shaking enabled by default; check for
    treeshake
    options
  • Look for: Barrel files (
    index.js
    re-exports), large utility libraries imported wholesale (lodash, moment)

Unused JS/CSS

  • Check for CSS-in-JS vs. static CSS extraction
  • Look for PurgeCSS/UnCSS configuration (Tailwind's
    content
    config)
  • Identify dynamic imports vs. eager loading

Polyfills

  • Check for
    @babel/preset-env
    targets and
    useBuiltIns
    setting
  • Look for
    core-js
    imports (often oversized)
  • Check
    browserslist
    config for overly broad targeting

Compression & Minification

  • Check for
    terser
    ,
    esbuild
    , or
    swc
    minification
  • Look for gzip/brotli compression in build output or server config
  • Check for source maps in production builds (should be external or disabled)

Output Format

Present findings as:

  1. Core Web Vitals Summary - Table with metric, value, and rating (good/needs-improvement/poor)
  2. Top Issues - Prioritized list of problems with estimated impact (high/medium/low)
  3. Recommendations - Specific, actionable fixes with code snippets or config changes
  4. Codebase Findings - Framework/bundler detected, optimization opportunities (omit if no codebase access)