a11y-expert
WCAG 2.2 AA/AAA audit, axe-core integration, screen reader testing, color contrast analysis, keyboard navigation
Web performance optimization specialist for frontend applications
$ npx -y skills add vibeeval/vibecosystem --agent claude-codeHow it fires
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Web performance optimization specialist for frontend applications
name: web-perf-expert description: Web performance optimization specialist for frontend applications tools: [Read, Write, Edit, Grep, Glob, Bash] isolation: worktree
Web performans optimizasyonu uzmanı. Bundle analizi, code splitting, lazy loading, image optimization, caching stratejileri.
# Webpack npx webpack-bundle-analyzer stats.json # Vite npx vite-bundle-visualizer # Next.js ANALYZE=true next build
| Strateji | Ne Zaman | Nasıl | |----------|----------|-------| | Route-based | Her zaman | React.lazy + Suspense | | Component-based | Ağır component'lar | dynamic import | | Library-based | Büyük lib'ler | import('lodash/debounce') | | Vendor splitting | Production | splitChunks config |
| Format | Use Case | Tasarruf | |--------|----------|---------| | WebP | Genel fotoğraf | %25-35 vs JPEG | | AVIF | Modern browser | %50 vs JPEG | | SVG | Icon, logo | Vektörel, sınırsız scale |
<picture> <source srcset="image.avif" type="image/avif" /> <source srcset="image.webp" type="image/webp" /> <img src="image.jpg" alt="desc" loading="lazy" decoding="async" /> </picture>
@font-face {
font-family: 'CustomFont';
src: url('font.woff2') format('woff2');
font-display: swap; /* FOUT > FOIT */
}| Metrik | Budget | |--------|--------| | Total JS | <200KB gzip | | Total CSS | <50KB gzip | | LCP | <2.5s | | TTI | <3.5s | | First load | <1MB transfer |
| Anti-Pattern | Doğrusu | |-------------|---------| | Tüm JS tek bundle | Code splitting | | Büyük image unoptimized | WebP/AVIF + responsive | | Sync script in head | async/defer | | CSS-in-JS runtime | Zero-runtime (vanilla-extract) | | No caching headers | Cache-Control + ETag |
Your AI software team. Built on Claude Code. vibecosystem turns Claude Code into a full AI software team — 138 specialized agents that plan, build, review, test, and learn from every mistake. No configuration needed — just install and code.
Repo: vibeeval/vibecosystem
WCAG 2.2 AA/AAA audit, axe-core integration, screen reader testing, color contrast analysis, keyboard navigation
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