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Performance Profiler

onewave-ai/claude-skills
156 installs168 stars
Summary

A solid reference for tracking down performance issues across your stack. It covers the essentials: Core Web Vitals with Lighthouse, React DevTools profiling, bundle analysis for bloat, and Node.js CPU and memory debugging with tools like Clinic.js. The React optimization patterns are standard but well organized, from memoization to virtualization with react-window. The database section handles EXPLAIN ANALYZE and N+1 query fixes. What makes this useful is the quick wins checklist at the end. When your app is slow and you need to methodically work through possible causes, this gives you a decent roadmap without overthinking it.

Install to Claude Code

npx -y skills add onewave-ai/claude-skills --skill performance-profiler --agent claude-code

Installs into .claude/skills of the current project.

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Context.devContext.dev
Context.dev
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Get API Key Now →
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On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
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AppSignal
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Monitor with ease. Code with confidence.
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CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
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Files
SKILL.mdView on GitHub

Performance Profiler

Instructions

When profiling performance:

  1. Identify the bottleneck type: Network, rendering, memory, or compute
  2. Measure baseline before optimizing
  3. Profile with appropriate tools
  4. Apply optimizations
  5. Measure improvement

Web Performance

Core Web Vitals

# Lighthouse CLI
npx lighthouse https://yoursite.com --view

# With specific metrics
npx lighthouse https://yoursite.com --only-categories=performance

Target Metrics:

MetricGoodNeeds WorkPoor
LCP (Largest Contentful Paint)< 2.5s2.5-4s> 4s
INP (Interaction to Next Paint)< 200ms200-500ms> 500ms
CLS (Cumulative Layout Shift)< 0.10.1-0.25> 0.25

Bundle Analysis

# Next.js
ANALYZE=true npm run build

# Webpack
npx webpack-bundle-analyzer stats.json

# Vite
npx vite-bundle-visualizer

React Performance

React DevTools Profiler

  1. Install React DevTools browser extension
  2. Open DevTools → Profiler tab
  3. Click Record, interact with app, stop recording
  4. Analyze flame graph for slow components

Common React Optimizations

// 1. Memoize expensive components
const MemoizedList = React.memo(function List({ items }) {
  return items.map(item => <Item key={item.id} {...item} />);
});

// 2. Use useMemo for expensive calculations
const sortedItems = useMemo(() => {
  return [...items].sort((a, b) => a.name.localeCompare(b.name));
}, [items]);

// 3. Use useCallback for stable function references
const handleClick = useCallback((id: string) => {
  setSelected(id);
}, []);

// 4. Virtualize long lists
import { FixedSizeList } from 'react-window';

function VirtualList({ items }) {
  return (
    <FixedSizeList
      height={400}
      itemCount={items.length}
      itemSize={50}
      width="100%"
    >
      {({ index, style }) => (
        <div style={style}>{items[index].name}</div>
      )}
    </FixedSizeList>
  );
}

// 5. Lazy load components
const HeavyComponent = React.lazy(() => import('./HeavyComponent'));

function App() {
  return (
    <Suspense fallback={<Loading />}>
      <HeavyComponent />
    </Suspense>
  );
}

Node.js Performance

Profiling

# CPU profile
node --prof app.js
node --prof-process isolate-*.log > profile.txt

# Heap snapshot
node --inspect app.js
# Then use Chrome DevTools Memory tab

# Clinic.js (comprehensive)
npx clinic doctor -- node app.js
npx clinic flame -- node app.js
npx clinic bubbleprof -- node app.js

Memory Leak Detection

// Add to app for debugging
const used = process.memoryUsage();
console.log({
  heapUsed: `${Math.round(used.heapUsed / 1024 / 1024)} MB`,
  heapTotal: `${Math.round(used.heapTotal / 1024 / 1024)} MB`,
  external: `${Math.round(used.external / 1024 / 1024)} MB`,
});

Database Performance

-- PostgreSQL: Analyze slow queries
EXPLAIN ANALYZE SELECT * FROM users WHERE email = 'test@example.com';

-- Find missing indexes
SELECT relname, seq_scan, idx_scan
FROM pg_stat_user_tables
WHERE seq_scan > idx_scan;

Query Optimization

// Bad: N+1 query
const users = await db.user.findMany();
for (const user of users) {
  const posts = await db.post.findMany({ where: { userId: user.id } });
}

// Good: Single query with include
const users = await db.user.findMany({
  include: { posts: true }
});

// Good: Select only needed fields
const users = await db.user.findMany({
  select: { id: true, name: true, email: true }
});

Quick Wins Checklist

  • Enable gzip/brotli compression
  • Add caching headers
  • Lazy load images (loading="lazy")
  • Preconnect to external domains
  • Use CDN for static assets
  • Minimize JavaScript bundle
  • Defer non-critical JS
  • Optimize images (WebP, proper sizing)
  • Add database indexes
  • Use connection pooling
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CodeRabbit
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AI writes the code. CodeRabbit catches the slop.
Try For Free →
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Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
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Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
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First SeenJun 3, 2026
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