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performance-optimization

performance-optimization

github.com/rohitg00Development2.8k188 installsUpdated 25w ago
Repository

About performance-optimization

A frontend performance reference for developers optimizing web applications. It brings together bundle analysis, code splitting, image optimization, Core Web Vitals monitoring, and implementation checks.

Key features

  1. 01Bundle analysis and code splitting
  2. 02Image optimization practices
  3. 03Core Web Vitals monitoring
  4. 04Caching and asset delivery checks
  5. 05Performance anti-pattern checklist

Use cases

  1. 01Reducing initial JavaScript loading
  2. 02Improving image delivery and layout stability
  3. 03Monitoring LCP, INP, and CLS

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/rohitg00/awesome-claude-code-toolkit --skill performance-optimization

After installing, type/performance-optimizationin Claude Code to confirm it loaded.

Details

From the project README

Performance Optimization

Bundle Analysis and Code Splitting

// Dynamic import for route-level code splitting
const Dashboard = lazy(() => import("./pages/Dashboard"));
const Settings = lazy(() => import("./pages/Settings"));

function App() {
  return (
    <Suspense fallback={<PageSkeleton />}>
      <Routes>
        <Route path="/dashboard" element={<Dashboard />} />
        <Route path="/settings" element={<Settings />} />
      </Routes>
    </Suspense>
  );
}
// vite.config.ts - manual chunk splitting
export default defineConfig({
  build: {
    rollupOptions: {
      output: {
        manualChunks: {
          vendor: ["react", "react-dom"],
          charts: ["recharts", "d3"],
          editor: ["@monaco-editor/react"],
        },
      },
    },
  },
});
# Analyze bundle composition
npx vite-bundle-visualizer
npx source-map-explorer dist/assets/*.js

Image Optimization

import Image from "next/image";

function ProductImage({ src, alt }: { src: string; alt: string }) {
  return (
    <Image
      src={src}
      alt={alt}
      width={800}
      height={600}
      sizes="(max-width: 768px) 100vw, (max-width: 1200px) 50vw, 33vw"
      placeholder="blur"
      blurDataURL={generateBlurHash(src)}
      loading="lazy"
    />
  );
}
<!-- Native lazy loading with aspect ratio -->
<img
  src="product.webp"
  alt="Product photo"
  width="800"
  height="600"
  loading="lazy"
  decoding="async"
  fetchpriority="low"
/>

<!-- Preload LCP image -->
<link rel="preload" as="image" href="/hero.webp" fetchpriority="high" />

Caching Headers

function setCacheHeaders(res: Response, options: CacheOptions) {
  if (options.immutable) {
    res.setHeader("Cache-Control", "public, max-age=31536000, immutable");
    return;
  }

  if (options.revalidate) {
    res.setHeader("Cache-Control", `public, max-age=0, s-maxage=${options.revalidate}, stale-while-revalidate=${options.staleWhileRevalidate ?? 86400}`);
    return;
  }

  res.setHeader("Cache-Control", "no-cache, no-store, must-revalidate");
}

app.use("/assets", (req, res, next) => {
  setCacheHeaders(res, { immutable: true });
  next();
});

app.use("/api", (req, res, next) => {
  setCacheHeaders(res, { revalidate: 60, staleWhileRevalidate: 3600 });
  next();
});

Virtual Lists for Large Data

import { useVirtualizer } from "@tanstack/react-virtual";

function VirtualList({ items }: { items: Item[] }) {
  const parentRef = useRef<HTMLDivElement>(null);

  const virtualizer = useVirtualizer({
    count: items.length,
    getScrollElement: () => parentRef.current,
    estimateSize: () => 50,
    overscan: 5,
  });

  return (
    <div ref={parentRef} style={{ height: "600px", overflow: "auto" }}>
      <div style={{ height: `${virtualizer.getTotalSize()}px`, position: "relative" }}>
        {virtualizer.getVirtualItems().map((virtualRow) => (
          <div
            key={virtualRow.key}
            style={{
              position: "absolute",
              top: 0,
              transform: `translateY(${virtualRow.start}px)`,
              height: `${virtualRow.size}px`,
              width: "100%",
            }}
          >
            <ItemRow item={items[virtualRow.index]} />
          </div>
        ))}
      </div>
    </div>
  );
}

Core Web Vitals Monitoring

import { onCLS, onINP, onLCP } from "web-vitals";

function sendMetric(metric: { name: string; value: number; id: string }) {
  navigator.sendBeacon("/api/vitals", JSON.stringify(metric));
}

onCLS(sendMetric);
onINP(sendMetric);
onLCP(sendMetric);
  • LCP (Largest Contentful Paint): < 2.5s. Preload hero images, optimize server response time.
  • INP (Interaction to Next Paint): < 200ms. Avoid long tasks, use requestIdleCallback.
  • CLS (Cumulative Layout Shift): < 0.1. Set explicit dimensions on images and embeds.

Anti-Patterns

  • Loading all JavaScript upfront instead of code-splitting by route
  • Serving unoptimized images (no WebP/AVIF, no responsive sizes)
  • Missing width and height on images (causes layout shift)
  • Using Cache-Control: no-cache on static assets with content hashes
  • Rendering thousands of DOM nodes instead of virtualizing lists
  • Blocking the main thread with synchronous computation

Checklist

  • Routes lazy-loaded with dynamic import() and Suspense
  • Bundle analyzed and vendor chunks separated
  • Images served in WebP/AVIF with responsive sizes attribute
  • LCP image preloaded with fetchpriority="high"
  • Static assets cached with immutable headers and content hashes
  • Lists with 100+ items use virtualization
  • Core Web Vitals monitored in production (LCP, INP, CLS)
  • No render-blocking resources in the critical path

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