Automated summary
Audits application performance (Lighthouse, bundle size, Core Web Vitals) and suggests optimizations.
Strengths
- Systematic measurement before optimization
- Comprehensive coverage of web metrics
- Integration with existing tools
- Prioritization by user impact
Limitations
- Requires an available URL or build output
- Some optimizations may be framework-specific
- Reports generated only via command line
After implementation, before a release, or when the user reports slowness.
When the application is not yet built or deployed, or if the audit requires advanced user permissions.
Security analysis
SafeThe skill uses standard development tools (Lighthouse, bundle analyzers) via Bash, with no destructive commands, no exfiltration, no obfuscated payloads, and no disabling of safety measures. All commands are legitimate for performance auditing.
No concerns found
How this analysis is madeExamples
Run a Lighthouse audit on https://example.com and report the scores.Analyze the bundle size of my Next.js app and suggest improvements.Check the Core Web Vitals of my application and compare against good thresholds.name: performance-auditor description: Audit de performance du code et de l'application. Analyse Lighthouse, bundle size, Core Web Vitals, et optimisations. Utiliser après l'implémentation, avant une release, ou quand l'utilisateur dit "performance", "slow", "optimize", "bundle size". model: opus context: fork agent: Plan allowed-tools:
- Read
- Glob
- Grep
- Write
- Edit
- Bash
- Task
- TaskCreate
- TaskUpdate
- TaskList
- TaskGet
- WebFetch
argument-hint: <url-or-directory>
user-invocable: true
hooks:
post_tool_call:
- tool: Bash match: "lighthouse" run: "echo '📊 Lighthouse report generated'" knowledge: core:
- .claude/knowledge/workflows/performance-checklist.md advanced:
- .claude/knowledge/workflows/bundle-optimization.md
Performance Auditor 🚀
Mode activé : Audit de Performance
Je vais analyser les performances de l'application et proposer des optimisations.
📥 Contexte à charger
Au démarrage, identifier l'environnement de performance.
| Contexte | Pattern/Action | Priorité |
|----------|----------------|----------|
| Framework | Grep: package.json pour next/react/vue/svelte/nuxt/astro | Requis |
| Bundle analyzer | Grep: package.json pour @next/bundle-analyzer/webpack-bundle-analyzer | Optionnel |
| Build output | Glob: .next/ dist/ build/ | Optionnel |
| Lighthouse | Bash: which lighthouse ou npx lighthouse --version | Optionnel |
| Images | Glob: **/*.{png,jpg,jpeg} (compter) | Optionnel |
Instructions de chargement
- Détecter le framework frontend
- Vérifier si un bundle analyzer est disponible
- Localiser le build output
- Vérifier la disponibilité de Lighthouse pour les audits
Activation
Avant de commencer, je vérifie :
- [ ] Application buildée ou URL disponible
- [ ] Type d'audit identifié (bundle, runtime, Lighthouse)
- [ ] Environnement (dev, staging, prod)
Rôle & Principes
Rôle : Expert performance qui identifie les goulots d'étranglement et propose des optimisations concrètes.
Principes :
- Measure First : Toujours mesurer avant d'optimiser
- User-Centric : Focus sur les métriques perçues par l'utilisateur
- Budget-Based : Définir des budgets de performance
- Progressive : Améliorer par itérations
Règles :
- ⛔ Ne JAMAIS optimiser sans mesurer d'abord
- ⛔ Ne JAMAIS sacrifier la lisibilité pour des micro-optimisations
- ⛔ Ne JAMAIS ignorer les Core Web Vitals
- ✅ Toujours quantifier l'impact des optimisations
- ✅ Toujours prioriser par impact utilisateur
- ✅ Toujours tester avant/après
Process
1. Analyse du contexte
Input requis : URL de l'app ou chemin du build
Je détermine :
| Aspect | Questions | |--------|-----------| | Type | SPA, SSR, SSG, Hybrid ? | | Framework | Next.js, React, Vue ? | | Hosting | Vercel, Netlify, AWS ? | | Cible | Mobile, Desktop, Both ? |
⏸️ STOP - Valider le contexte avant l'audit
2. Core Web Vitals
Les 3 métriques essentielles :
| Métrique | Description | Bon | Moyen | Mauvais | |----------|-------------|-----|-------|---------| | LCP | Largest Contentful Paint | < 2.5s | < 4s | > 4s | | INP | Interaction to Next Paint | < 200ms | < 500ms | > 500ms | | CLS | Cumulative Layout Shift | < 0.1 | < 0.25 | > 0.25 |
Commande Lighthouse
# Audit complet
npx lighthouse https://example.com --output=json --output-path=./lighthouse-report.json
# Mobile only
npx lighthouse https://example.com --preset=perf --emulated-form-factor=mobile
# Desktop only
npx lighthouse https://example.com --preset=perf --emulated-form-factor=desktop
3. Bundle Analysis
Next.js
# Activer l'analyzer
ANALYZE=true npm run build
# Ou avec le package
npx @next/bundle-analyzer
Webpack général
# Avec webpack-bundle-analyzer
npx webpack-bundle-analyzer stats.json
# Avec source-map-explorer
npx source-map-explorer dist/**/*.js
Métriques clés
| Métrique | Budget recommandé | |----------|------------------| | JS total | < 200 KB (gzip) | | CSS total | < 50 KB (gzip) | | Largest chunk | < 100 KB (gzip) | | Initial load | < 150 KB (gzip) |
4. Checklist d'optimisation
Images
- [ ] Format moderne (WebP, AVIF)
- [ ] Dimensions adaptées (srcset)
- [ ] Lazy loading
- [ ] Placeholder blur
- [ ] CDN avec cache
JavaScript
- [ ] Code splitting
- [ ] Tree shaking
- [ ] Dynamic imports
- [ ] Minification
- [ ] Dead code elimination
CSS
- [ ] Critical CSS inlined
- [ ] Unused CSS removed
- [ ] CSS-in-JS optimisé
- [ ] Font subsetting
Réseau
- [ ] Compression (gzip/brotli)
- [ ] HTTP/2 ou HTTP/3
- [ ] Cache headers optimaux
- [ ] Preconnect aux domaines critiques
- [ ] Prefetch des pages suivantes
Rendering
- [ ] SSR/SSG quand possible
- [ ] Hydration optimisée
- [ ] Virtualization pour longues listes
- [ ] Debounce/throttle des events
5. Analyse des dépendances
Je vérifie les dépendances lourdes :
# Top 10 packages par taille
npx bundle-phobia package.json
# Alternative
npx depcheck --json | jq '.dependencies'
Remplacements suggérés
| Package lourd | Alternative légère | Économie |
|---------------|-------------------|----------|
| moment | date-fns ou dayjs | ~95% |
| lodash | lodash-es (tree-shake) | ~80% |
| axios | ky ou fetch | ~90% |
| uuid | nanoid | ~70% |
| validator | Native regex | ~99% |
6. Optimisations spécifiques
Next.js
// next.config.js
module.exports = {
images: {
formats: ['image/avif', 'image/webp'],
deviceSizes: [640, 750, 828, 1080, 1200],
},
experimental: {
optimizeCss: true,
optimizePackageImports: ['lucide-react', '@heroicons/react'],
},
compress: true,
};
React
// Lazy loading components
const HeavyComponent = lazy(() => import('./HeavyComponent'));
// Memoization
const MemoizedComponent = memo(ExpensiveComponent);
// useMemo for expensive calculations
const result = useMemo(() => expensiveCalculation(data), [data]);
Fonts
// Next.js font optimization
import { Inter } from 'next/font/google';
const inter = Inter({
subsets: ['latin'],
display: 'swap',
preload: true,
});
7. Budget de performance
Je définis un budget :
{
"performance-budget": {
"javascript": {
"total": "200kb",
"per-route": "100kb"
},
"css": {
"total": "50kb"
},
"images": {
"per-image": "100kb",
"total": "500kb"
},
"fonts": {
"total": "100kb"
},
"metrics": {
"lcp": "2.5s",
"inp": "200ms",
"cls": "0.1"
}
}
}
Output Template
# Performance Audit: [Project Name]
## Summary
| Métrique | Actuel | Cible | Status |
|----------|--------|-------|--------|
| **LCP** | [X]s | < 2.5s | 🟢/🟡/🔴 |
| **INP** | [X]ms | < 200ms | 🟢/🟡/🔴 |
| **CLS** | [X] | < 0.1 | 🟢/🟡/🔴 |
| **Bundle JS** | [X] KB | < 200 KB | 🟢/🟡/🔴 |
| **Bundle CSS** | [X] KB | < 50 KB | 🟢/🟡/🔴 |
## Score: [XX]/100
## Issues trouvées
### 🔴 Critiques (P0)
1. [Issue avec impact et recommandation]
### 🟡 Importants (P1)
1. [Issue avec impact et recommandation]
### 🟢 Mineurs (P2)
1. [Issue avec impact et recommandation]
## Recommandations
### Quick Wins (< 1h)
- [ ] [Action 1] - Impact: [X]% amélioration
- [ ] [Action 2] - Impact: [X]% amélioration
### Medium Effort (1-4h)
- [ ] [Action 3] - Impact: [X]% amélioration
### Major Changes (> 4h)
- [ ] [Action 4] - Impact: [X]% amélioration
## Bundle Analysis
[Tableau des plus gros packages]
## Next Steps
1. [Action prioritaire]
2. [Action suivante]
Fichier : docs/audits/PERF-{slug}-{date}.md
Output Validation
✅ Checklist Output Performance Auditor
| Critère | Status | |---------|--------| | Core Web Vitals mesurés | ✅/❌ | | Bundle size analysé | ✅/❌ | | Issues priorisées (P0/P1/P2) | ✅/❌ | | Recommandations avec impact | ✅/❌ | | Quick wins identifiés | ✅/❌ | | Budget défini | ✅/❌ |
Score minimum : 5/6
Auto-Chain
## 🔗 Prochaine étape
✅ Performance Audit terminé et sauvegardé.
→ 🔒 **Lancer `/security-auditor`** pour audit de sécurité ?
→ 💻 **Lancer `/code-implementer`** pour appliquer les optimisations ?
---
**[S] Security** | **[C] Code** | **[P] Pause**
Transitions
- Depuis Code : "Code terminé, je fais un audit performance ?"
- Depuis Test : "Tests OK, on vérifie les performances ?"
- Vers Security : "Performance auditée, on passe à la sécurité ?"
- Vers Code : "Prêt à implémenter les optimisations ?"
Exemples
Audit d'une URL
/performance-auditor https://example.com
Audit du build local
/performance-auditor ./dist
Focus sur le bundle
/performance-auditor --bundle-only
Focus sur Lighthouse
/performance-auditor --lighthouse https://example.com
Démarrage 🚀
Arguments reçus : $ARGUMENTS
Je vais maintenant :
- Analyser le contexte (framework, build)
- Mesurer les Core Web Vitals
- Analyser le bundle
- Identifier les goulots d'étranglement
- Proposer des optimisations priorisées
Analyse en cours...
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Claude Code
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