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Lighthouse Audits

Free

Run performance audits locally with ease.

Get this skill

Free · Opens the source repo

What Lighthouse Audits does

Lighthouse Audits is a command-line interface (CLI) tool that enables developers to run performance audits on web applications using Google Lighthouse. With this skill, you can execute audits locally, parse the results, and set performance budgets to ensure that your web applications meet specified performance criteria. This tool is particularly beneficial for developers and teams looking to integrate performance testing into their continuous integration (CI) workflows, allowing for real-time feedback on site performance during development.

The skill provides various options for running audits, including the ability to focus solely on performance metrics by skipping other categories such as accessibility and SEO. Users can run audits for both mobile and desktop form factors, and the output can be customized to JSON or HTML formats, making it easy to analyze results or share reports with stakeholders. Additionally, the skill allows for the creation of performance budgets, which help teams maintain control over resource sizes and loading times, ensuring that performance goals are met throughout the development lifecycle.

For those looking to automate performance checks, Lighthouse Audits supports integration with GitHub Actions, enabling audits to run on pull requests and pushes to the main branch. This feature helps catch performance regressions early in the development process. The skill also includes a Node API, allowing developers to programmatically run audits and extract key performance metrics, which can be useful for custom reporting or further analysis.

Overall, Lighthouse Audits is an essential tool for developers and teams focused on maintaining high-performance web applications. It streamlines the process of running audits, interpreting results, and enforcing performance standards, making it easier to deliver fast and efficient user experiences.

When to use it

Use this skill when you need to measure site performance, understand Lighthouse scores, or set performance budgets during development.

When not to use it

This skill is not suitable for fixing specific performance issues or for Astro-specific optimizations; consider other tools for those needs.

What you can build with it

Running Local Audits

Quickly run performance audits on your local development server to catch issues early.

Setting Performance Budgets

Define and enforce performance budgets to maintain site performance as you develop.

CI Integration

Automate performance testing in your CI/CD pipeline to ensure consistent performance metrics.

How to install Lighthouse Audits

View source

1. Install with the skills CLI

npx skills add tech-leads-club/agent-skills/perf-lighthouse --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by tech-leads-club

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

IssueSolution
Inconsistent scoresRun multiple times (--number-of-runs=3), use median
Chrome not foundSet CHROME_PATH env var
TimeoutsIncrease with --max-wait-for-load=60000
Auth requiredUse --extra-headers or puppeteer script

Frequently asked questions about Lighthouse Audits

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