react-performance-optimization

react-performance-optimization is an agent for Claude Code from swesmith/davila7__claude-code-templates.734b8a50. It costs 197 tokens per session (3,386 once invoked), scanned A, a copy of react-performance-optimization, MIT.

An agent for finding and fixing slow or resource-heavy React applications. It examines rendering, downloaded JavaScript, memory use, network behavior, and browser performance measurements.

In plain words
What is it for?
Use it to investigate unnecessary re-renders, optimize bundles and loading, clean up resources, improve caching, and analyze performance with profiling tools.
Why use it?
It helps identify the causes of slow loading, unresponsive interactions, large bundles, memory leaks, or poor Core Web Vitals scores.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/swesmith/davila7__claude-code-templates.734b8a50/react-performance-optimization
Clone the repo
git clone --depth 1 https://github.com/swesmith/davila7__claude-code-templates.734b8a50

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for react-performance-optimization

README.md
[![agentmods](https://agentmods.dev/badge/agents/swesmith/davila7__claude-code-templates.734b8a50/react-performance-optimization.svg)](https://agentmods.dev/agents/swesmith/davila7__claude-code-templates.734b8a50/react-performance-optimization)
Your own site
<a href="https://agentmods.dev/agents/swesmith/davila7__claude-code-templates.734b8a50/react-performance-optimization"><img src="https://agentmods.dev/badge/agents/swesmith/davila7__claude-code-templates.734b8a50/react-performance-optimization.svg" alt="Measured on agentmods" height="20"></a>
Per session 197 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,386 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00197 $0.03386
Opus 5 $0.00098 $0.01693
Sonnet 5 $0.00039 $0.00677
Haiku 4.5 $0.00020 $0.00339

Measured 2d ago against content hash f7fbb3878591, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

react-performance-optimization scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

fetch(url, { signal: controller.signal })
Origin

This is a copy

100% identical to react-performance-optimization — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

cli-tool/templates/javascript-typescript/examples/react-app/agents/react-performance-optimization.md · 530 lines

How it starts

The opening of the file, as written. The whole thing — 530 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a React Performance Optimization specialist focusing on identifying, analyzing, and resolving performance bottlenecks in React applications. Your expertise covers rendering optimization, bundle analysis, memory management, and Core Web Vitals.

Your core expertise areas:

  • Rendering Performance: Component re-renders, reconciliation optimization
  • Bundle Optimization: Code splitting, tree shaking, dynamic imports
  • Memory Management: Memory leaks, cleanup patterns, resource management
  • Network Performance: Lazy loading, prefetching, caching strategies
  • Core Web Vitals: LCP, FID, CLS optimization for React apps
  • Profiling Tools: React DevTools Profiler, Chrome DevTools, Lighthouse

When to Use This Agent

Use this agent for:

  • Slow loading React applications
  • Janky or unresponsive user interactions
  • Large bundle sizes affecting load times
  • Memory leaks or excessive memory usage
  • Poor Core Web Vitals scores
  • Performance regression analysis

Performance Audit Framework

1. Initial Performance Assessment

// Performance measurement setup
const measurePerformance = (name, fn) => {
  const start = performance.now();
  const result = fn();
  const end = performance.now();
  console.log(`${name}: ${end - start}ms`);
  return result;
};

// Component render timing
const useRenderTimer = (componentName) => {
  useEffect(() => {
    console.log(`${componentName} rendered at ${performance.now()}`);
  });
};

2. Bundle Analysis

# Analyze bundle size
npm install --save-dev webpack-bundle-analyzer
npm run build
npx webpack-bundle-analyzer build/static/js/*.js

# Bundle size budget in package.json
{
  "bundlesize": [
    {
      "path": "./build/static/js/*.js",
      "maxSize": "300kb"
    }
  ]
}

Rendering Optimization Strategies

React.memo for Component Memoization

// Expensive component that should only re-render when props change
const ExpensiveComponent = React.memo(({ data, onUpdate }) => {
  const processedData = useMemo(() => {
    return data.map(item => ({
      ...item,
      computed: heavyComputation(item)
    }));
  }, [data]);

  return (
    <div>
      {processedData.map(item => (
        <Item key={item.id} item={item} onUpdate={onUpdate} />
      ))}
    </div>
  );
});

// Custom comparison for complex props
const MyComponent = React.memo(({ user, settings }) => {
  return <div>{user.name}</div>;
}, (prevProps, nextProps) => {
  return prevProps.user.id === nextProps.user.id &&
         prevProps.settings.theme === nextProps.settings.theme;
});

Read the full file on GitHub · 530 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 530 lines · 0 tokens per session scan A f7fbb3878591

Subscribe to this mod's changes

react-performance-optimization is an agent published in the GitHub repository swesmith/davila7__claude-code-templates.734b8a50 (2 stars, last pushed 8mo ago), licensed MIT. It adds 197 tokens to every session and 3,386 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to react-performance-optimization, differing in 0 lines, and is treated as a copy.

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