performance-opt

sgcarstrends's avatarfrom sgcarstrends

Analyze and optimize application performance including bundle size, render performance, and API response times. Use when investigating slow pages or optimizing production builds.

⭐13stars🔀1forks📁View on GitHub🕐Updated Dec 31, 2025

When & Why to Use This Skill

This Claude skill is a comprehensive performance optimization toolkit designed to identify and resolve bottlenecks across the full stack. It enables developers to analyze bundle sizes, optimize React rendering, streamline database queries, and implement advanced caching strategies to improve Core Web Vitals and overall application speed. By providing actionable code patterns and diagnostic commands, it helps transform slow, unoptimized builds into high-performance production applications.

Use Cases

  • Investigating and fixing slow page loads by analyzing and improving Core Web Vitals such as LCP, FID, and CLS.
  • Reducing JavaScript bundle size through dynamic imports, tree shaking, and dependency optimization in Next.js environments.
  • Optimizing React application responsiveness by preventing unnecessary re-renders with memoization and virtualizing long lists.
  • Improving database efficiency by identifying slow queries, implementing proper indexing, and eliminating N+1 query patterns.
  • Enhancing API and serverless performance through multi-layer caching, response compression, and Lambda cold start optimization.
  • Automating performance monitoring and load testing to ensure applications meet strict performance benchmarks before deployment.
nameperformance-opt
descriptionAnalyze and optimize application performance including bundle size, render performance, and API response times. Use when investigating slow pages or optimizing production builds.
allowed-toolsRead, Grep, Glob, Bash

Performance Optimization Skill

This skill helps you identify and fix performance bottlenecks across the platform.

When to Use This Skill

  • Investigating slow page loads
  • Optimizing bundle size
  • Reducing API response times
  • Improving database query performance
  • Optimizing React re-renders
  • Before production deployments

Performance Metrics

Web Vitals (Next.js)

Core Web Vitals:

  • LCP (Largest Contentful Paint): < 2.5s
  • FID (First Input Delay): < 100ms
  • CLS (Cumulative Layout Shift): < 0.1

Other Metrics:

  • FCP (First Contentful Paint): < 1.8s
  • TTFB (Time to First Byte): < 600ms
  • TTI (Time to Interactive): < 3.8s

Measure Performance

# Run Lighthouse
npx lighthouse https://sgcarstrends.com --view

# Or use Chrome DevTools:
# 1. Open DevTools
# 2. Lighthouse tab
# 3. Generate report

Bundle Size Optimization

Analyze Bundle

# Next.js bundle analyzer
cd apps/web

# Add to next.config.js temporarily
ANALYZE=true pnpm build

# Or use bundle-analyzer package
pnpm add -D @next/bundle-analyzer

# View analysis
open .next/analyze/client.html

Reduce Bundle Size

1. Dynamic Imports

// ❌ Static import (loads immediately)
import { HeavyComponent } from "./heavy-component";

export default function Page() {
  return <HeavyComponent />;
}

// ✅ Dynamic import (lazy load)
import dynamic from "next/dynamic";

const HeavyComponent = dynamic(() => import("./heavy-component"), {
  loading: () => <div>Loading...</div>,
  ssr: false,  // Disable SSR if not needed
});

export default function Page() {
  return <HeavyComponent />;
}

2. Tree Shaking

// ❌ Imports entire library
import _ from "lodash";
const result = _.uniq(array);

// ✅ Import only what you need
import uniq from "lodash/uniq";
const result = uniq(array);

// ✅ Or use modern alternative
const result = [...new Set(array)];

3. Optimize Dependencies

# Find large dependencies
npx npkill

# Or analyze with bundlephobia
# Visit: https://bundlephobia.com

# Replace large libs with smaller alternatives:
# moment.js (70kb) → date-fns (13kb) or dayjs (2kb)
# lodash (71kb) → lodash-es + tree shaking

4. Code Splitting

// Split by route (automatic in Next.js)
// Each page is a separate chunk

// Split by component
const AdminPanel = dynamic(() => import("./admin-panel"));

// Split by condition
const Chart = dynamic(() =>
  import(userPreference === "advanced" ? "./advanced-chart" : "./simple-chart")
);

React Performance

Prevent Unnecessary Re-renders

1. useMemo

// ❌ Recalculates on every render
function Component({ data }) {
  const processed = expensiveOperation(data);
  return <div>{processed}</div>;
}

// ✅ Memoized calculation
function Component({ data }) {
  const processed = useMemo(
    () => expensiveOperation(data),
    [data]
  );
  return <div>{processed}</div>;
}

2. useCallback

// ❌ New function on every render
function Parent() {
  return <Child onClick={() => console.log("clicked")} />;
}

// ✅ Memoized function
function Parent() {
  const handleClick = useCallback(() => {
    console.log("clicked");
  }, []);

  return <Child onClick={handleClick} />;
}

3. React.memo

// ❌ Re-renders even when props unchanged
function ChildComponent({ name }) {
  return <div>{name}</div>;
}

// ✅ Only re-renders when props change
const ChildComponent = React.memo(function ChildComponent({ name }) {
  return <div>{name}</div>;
});

Virtualize Long Lists

# Install virtualization library
pnpm add -D react-window
import { FixedSizeList } from "react-window";

// ❌ Renders all items (slow for 1000+ items)
function CarList({ cars }) {
  return (
    <div>
      {cars.map(car => <CarCard key={car.id} car={car} />)}
    </div>
  );
}

// ✅ Only renders visible items
function CarList({ cars }) {
  const Row = ({ index, style }) => (
    <div style={style}>
      <CarCard car={cars[index]} />
    </div>
  );

  return (
    <FixedSizeList
      height={600}
      itemCount={cars.length}
      itemSize={100}
      width="100%"
    >
      {Row}
    </FixedSizeList>
  );
}

Debounce User Input

import { useDeferredValue, useState } from "react";

function SearchComponent() {
  const [input, setInput] = useState("");
  const deferredInput = useDeferredValue(input);  // Defers update

  return (
    <>
      <input value={input} onChange={(e) => setInput(e.target.value)} />
      <SearchResults query={deferredInput} />
    </>
  );
}

Database Query Optimization

Identify Slow Queries

// Add query timing
const start = Date.now();
const result = await db.query.cars.findMany();
const duration = Date.now() - start;

if (duration > 100) {
  console.warn(`Slow query: ${duration}ms`);
}

Optimize Queries

1. Add Indexes

// packages/database/src/db/schema/cars.ts
import { pgTable, text, index } from "drizzle-orm/pg-core";

export const cars = pgTable("cars", {
  id: text("id").primaryKey(),
  make: text("make").notNull(),
  month: text("month").notNull(),
}, (table) => ({
  // Add indexes for frequently queried columns
  makeIdx: index("cars_make_idx").on(table.make),
  monthIdx: index("cars_month_idx").on(table.month),
}));

2. Avoid N+1 Queries

// ❌ N+1 queries (slow)
const posts = await db.query.posts.findMany();
for (const post of posts) {
  post.author = await db.query.users.findFirst({
    where: eq(users.id, post.authorId),
  });
}

// ✅ Single query with join (fast)
const posts = await db.query.posts.findMany({
  with: {
    author: true,
  },
});

3. Select Only Needed Columns

// ❌ Selects all columns
const users = await db.query.users.findMany();

// ✅ Select only what's needed
const users = await db
  .select({
    id: users.id,
    name: users.name,
    email: users.email,
  })
  .from(users);

4. Use Pagination

// ❌ Loads all records
const cars = await db.query.cars.findMany();

// ✅ Paginated query
const cars = await db.query.cars.findMany({
  limit: 20,
  offset: (page - 1) * 20,
});

5. Batch Queries

// ❌ Multiple separate queries
const user1 = await db.query.users.findFirst({ where: eq(users.id, "1") });
const user2 = await db.query.users.findFirst({ where: eq(users.id, "2") });
const user3 = await db.query.users.findFirst({ where: eq(users.id, "3") });

// ✅ Single batched query
const userIds = ["1", "2", "3"];
const users = await db.query.users.findMany({
  where: inArray(users.id, userIds),
});

Caching Strategies

Server-Side Caching

import { redis } from "@sgcarstrends/utils";

export async function getCarsWithCache(make: string) {
  const cacheKey = `cars:${make}`;

  // Check cache
  const cached = await redis.get(cacheKey);
  if (cached) {
    return JSON.parse(cached as string);
  }

  // Fetch from database
  const cars = await db.query.cars.findMany({
    where: eq(cars.make, make),
  });

  // Cache for 1 hour
  await redis.set(cacheKey, JSON.stringify(cars), { ex: 3600 });

  return cars;
}

Next.js Caching

// Cache with revalidation
export const revalidate = 3600;  // Revalidate every hour

export async function getData() {
  const res = await fetch("https://api.example.com/data", {
    next: { revalidate: 3600 },
  });
  return res.json();
}

// Cache indefinitely, revalidate on demand
export const dynamic = "force-static";

export async function getStaticData() {
  // This data is cached until manually revalidated
  const data = await db.query.cars.findMany();
  return data;
}

Image Optimization

Use Next.js Image Component

import Image from "next/image";

// ❌ Regular img tag
<img src="/logo.png" alt="Logo" />

// ✅ Optimized image
<Image
  src="/logo.png"
  alt="Logo"
  width={200}
  height={200}
  priority  // For above-the-fold images
/>

// ✅ Responsive image
<Image
  src="/hero.jpg"
  alt="Hero"
  fill
  sizes="(max-width: 768px) 100vw, (max-width: 1200px) 50vw, 33vw"
  priority
/>

Image Formats

// Use modern formats
<Image
  src="/image.webp"  // WebP for smaller size
  alt="Image"
  width={800}
  height={600}
/>

// Automatic format optimization with Next.js Image
// Next.js automatically serves WebP/AVIF when supported

API Performance

Response Time Optimization

// Add response time logging
app.use(async (c, next) => {
  const start = Date.now();
  await next();
  const duration = Date.now() - start;

  c.header("X-Response-Time", `${duration}ms`);

  if (duration > 500) {
    console.warn(`Slow endpoint: ${c.req.path} (${duration}ms)`);
  }
});

Compression

// Enable compression in Hono
import { compress } from "hono/compress";

const app = new Hono();
app.use("*", compress());

Pagination

// Implement cursor-based pagination
export async function getCars(cursor?: string, limit = 20) {
  const query = db.query.cars.findMany({
    limit: limit + 1,  // Fetch one extra to determine if there's more
    orderBy: desc(cars.createdAt),
  });

  if (cursor) {
    query.where(lt(cars.id, cursor));
  }

  const results = await query;
  const hasMore = results.length > limit;
  const items = hasMore ? results.slice(0, -1) : results;

  return {
    items,
    nextCursor: hasMore ? items[items.length - 1].id : null,
  };
}

Lambda Performance

Cold Start Optimization

// infra/api.ts
export function API({ stack, app }: StackContext) {
  const api = new Function(stack, "api", {
    handler: "apps/api/src/index.handler",
    runtime: "nodejs20.x",
    architecture: "arm64",  // Graviton2 for better performance
    memory: 1024,  // More memory = faster CPU
    nodejs: {
      esbuild: {
        minify: true,  // Smaller bundle = faster cold starts
        bundle: true,
      },
    },
  });
}

Provisioned Concurrency

For production with consistent traffic:

const api = new Function(stack, "api", {
  handler: "apps/api/src/index.handler",
  reservedConcurrentExecutions: 10,  // Reserve instances
});

Performance Monitoring

Web Vitals in Next.js

// app/layout.tsx
import { SpeedInsights } from "@vercel/speed-insights/next";

export default function RootLayout({ children }) {
  return (
    <html>
      <body>
        {children}
        <SpeedInsights />
      </body>
    </html>
  );
}

Custom Performance Marks

export async function performanceTracked Operation() {
  performance.mark("operation-start");

  await doSomething();

  performance.mark("operation-end");
  performance.measure("operation", "operation-start", "operation-end");

  const measure = performance.getEntriesByName("operation")[0];
  console.log(`Operation took ${measure.duration}ms`);
}

Performance Testing

Load Testing

# Install Apache Bench
# or use k6, Artillery, etc.

# Test API endpoint
ab -n 1000 -c 10 https://api.sgcarstrends.com/health

# With k6
k6 run loadtest.js

Performance Benchmarks

// __tests__/performance/database.test.ts
import { performance } from "perf_hooks";

describe("Database Performance", () => {
  it("queries cars in < 100ms", async () => {
    const start = performance.now();

    await db.query.cars.findMany({ limit: 100 });

    const duration = performance.now() - start;
    expect(duration).toBeLessThan(100);
  });
});

Performance Checklist

  • Bundle size < 200KB (initial load)
  • LCP < 2.5s
  • FID < 100ms
  • CLS < 0.1
  • API responses < 500ms
  • Database queries < 100ms
  • Images optimized (WebP/AVIF)
  • Code splitting implemented
  • Lazy loading for heavy components
  • Caching strategy in place
  • Long lists virtualized
  • Compression enabled
  • Indexes on frequently queried columns

Quick Wins

  1. Enable Compression: Instant 60-80% size reduction
  2. Add Image Optimization: Use Next.js Image component
  3. Implement Caching: Cache expensive operations
  4. Add Indexes: Speed up database queries
  5. Code Splitting: Lazy load heavy components
  6. Tree Shaking: Import only what you need
  7. Memoization: Prevent unnecessary calculations

References

Best Practices

  1. Measure First: Use profiling before optimizing
  2. Focus on Impact: Optimize bottlenecks, not everything
  3. Monitor Production: Track real user performance
  4. Regular Audits: Run Lighthouse monthly
  5. Test Performance: Add performance tests
  6. Document Optimizations: Note why and what was optimized
  7. Avoid Premature Optimization: Profile first, then optimize
  8. Use Tools: Leverage built-in Next.js optimizations