
perf-lighthouse
Run Lighthouse audits locally via CLI or Node API, parse and interpret reports, and set performance budgets. Use when measuring site performance, understanding Lighthouse scores, setting up budgets, or integrating audits into CI. Triggers on: lighthouse, run lighthouse, lighthouse score, performance audit, performance budget. Do NOT use for fixing specific performance issues (use perf-web-optimization or core-web-vitals) or Astro-specific optimization (use perf-astro).
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/tech-leads-club/agent-skills --skill perf-lighthouse- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads perf-lighthouse automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Lighthouse Audits
CLI Quick Start
# Install
npm install -g lighthouse
# Basic audit
lighthouse https://example.com
# Mobile performance only (faster)
lighthouse https://example.com --preset=perf --form-factor=mobile
# Output JSON for parsing
lighthouse https://example.com --output=json --output-path=./report.json
# Output HTML report
lighthouse https://example.com --output=html --output-path=./report.html
Common Flags
--preset=perf # Performance only (skip accessibility, SEO, etc.)
--form-factor=mobile # Mobile device emulation (default)
--form-factor=desktop # Desktop
--throttling-method=devtools # More accurate throttling
--only-categories=performance,accessibility # Specific categories
--chrome-flags="--headless" # Headless Chrome
Performance Budgets
Create budget.json:
[
{
"resourceSizes": [
{ "resourceType": "script", "budget": 200 },
{ "resourceType": "image", "budget": 300 },
{ "resourceType": "stylesheet", "budget": 50 },
{ "resourceType": "total", "budget": 500 }
],
"resourceCounts": [{ "resourceType": "third-party", "budget": 5 }],
"timings": [
{ "metric": "interactive", "budget": 3000 },
{ "metric": "first-contentful-paint", "budget": 1500 },
{ "metric": "largest-contentful-paint", "budget": 2500 }
]
}
]
Run with budget:
lighthouse https://example.com --budget-path=./budget.json
Node API
import lighthouse from 'lighthouse'
import * as chromeLauncher from 'chrome-launcher'
async function runAudit(url) {
const chrome = await chromeLauncher.launch({ chromeFlags: ['--headless'] })
const result = await lighthouse(url, {
port: chrome.port,
onlyCategories: ['performance'],
formFactor: 'mobile',
throttling: {
cpuSlowdownMultiplier: 4,
},
})
await chrome.kill()
const { performance } = result.lhr.categories
const { 'largest-contentful-paint': lcp } = result.lhr.audits
return {
score: Math.round(performance.score * 100),
lcp: lcp.numericValue,
}
}
GitHub Actions
# .github/workflows/lighthouse.yml
name: Lighthouse
on:
pull_request:
push:
branches: [main]
jobs:
lighthouse:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Build site
run: npm ci && npm run build
- name: Run Lighthouse
uses: treosh/lighthouse-ci-action@v11
with:
urls: |
http://localhost:3000
http://localhost:3000/about
budgetPath: ./budget.json
uploadArtifacts: true
temporaryPublicStorage: true
env:
LHCI_GITHUB_APP_TOKEN: ${{ secrets.LHCI_GITHUB_APP_TOKEN }}
Lighthouse CI (LHCI)
For full CI integration with historical tracking:
# Install
npm install -g @lhci/cli
# Initialize config
lhci wizard
Creates lighthouserc.js:
module.exports = {
ci: {
collect: {
url: ['http://localhost:3000/', 'http://localhost:3000/about'],
startServerCommand: 'npm run start',
numberOfRuns: 3,
},
assert: {
assertions: {
'categories:performance': ['error', { minScore: 0.9 }],
'categories:accessibility': ['warn', { minScore: 0.9 }],
'first-contentful-paint': ['error', { maxNumericValue: 1500 }],
'largest-contentful-paint': ['error', { maxNumericValue: 2500 }],
'cumulative-layout-shift': ['error', { maxNumericValue: 0.1 }],
},
},
upload: {
target: 'temporary-public-storage', // or 'lhci' for self-hosted
},
},
}
Run:
lhci autorun
Parse JSON Report
import fs from 'fs'
const report = JSON.parse(fs.readFileSync('./report.json'))
// Overall scores (0-1, multiply by 100 for percentage)
const scores = {
performance: report.categories.performance.score,
accessibility: report.categories.accessibility.score,
seo: report.categories.seo.score,
}
// Core Web Vitals
const vitals = {
lcp: report.audits['largest-contentful-paint'].numericValue,
cls: report.audits['cumulative-layout-shift'].numericValue,
fcp: report.audits['first-contentful-paint'].numericValue,
tbt: report.audits['total-blocking-time'].numericValue,
}
// Failed audits
const failed = Object.values(report.audits)
.filter((a) => a.score !== null && a.score < 0.9)
.map((a) => ({ id: a.id, score: a.score, title: a.title }))
Compare Builds
# Save baseline
lighthouse https://prod.example.com --output=json --output-path=baseline.json
# Run on PR
lighthouse https://preview.example.com --output=json --output-path=pr.json
# Compare (custom script)
node compare-reports.js baseline.json pr.json
Simple comparison script:
const baseline = JSON.parse(fs.readFileSync(process.argv[2]))
const pr = JSON.parse(fs.readFileSync(process.argv[3]))
const metrics = ['largest-contentful-paint', 'cumulative-layout-shift', 'total-blocking-time']
metrics.forEach((metric) => {
const base = baseline.audits[metric].numericValue
const current = pr.audits[metric].numericValue
const diff = (((current - base) / base) * 100).toFixed(1)
const emoji = current <= base ? '✅' : '❌'
console.log(`${emoji} ${metric}: ${diff}% (${base.toFixed(0)} → ${current.toFixed(0)})`)
})
Troubleshooting
| Issue | Solution |
|---|---|
| Inconsistent scores | Run multiple times (--number-of-runs=3), use median |
| Chrome not found | Set CHROME_PATH env var |
| Timeouts | Increase with --max-wait-for-load=60000 |
| Auth required | Use --extra-headers or puppeteer script |
FAQ
What does the perf-lighthouse skill do?
Run Lighthouse audits locally via CLI or Node API, parse and interpret reports, and set performance budgets. Use when measuring site performance, understanding Lighthouse scores, setting up budgets, or integrating audits into CI. Triggers on: lighthouse, run lighthouse, lighthouse score, performance audit, performance budget. Do NOT use for fixing specific performance issues (use perf-web-optimization or core-web-vitals) or Astro-specific optimization (use perf-astro).
How do I install perf-lighthouse?
Run npx skills add https://github.com/tech-leads-club/agent-skills --skill perf-lighthouse in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/perf-lighthouse/ (personal) or .claude/skills/perf-lighthouse/ (project).
Which AI agents can use perf-lighthouse?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is perf-lighthouse safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains perf-lighthouse?
It is published by tech-leads-club in tech-leads-club/agent-skills. It has 322 recorded installs.
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