perf-web-optimization

'Optimize web performance: bundle size, images, caching, lazy loading, and overall page speed. Use when site is slow, reducing bundle size, fixing layout shifts, improving Time to Interactive, or optimizing for Lighthouse scores. Triggers on: web performance, bundle size, page speed, slow site, lazy loading. Do NOT use for Core Web Vitals-specific fixes (use core-web-vitals), running Lighthouse audits (use perf-lighthouse), or Astro-specific optimization (use perf-astro).'

tech-leads-club/agent-skillsUpdated May 23, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills add https://github.com/tech-leads-club/agent-skills --skill perf-web-optimization

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Installation Guide

How to use perf-web-optimization on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add perf-web-optimization
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/tech-leads-club/agent-skills --skill perf-web-optimization

Fetches perf-web-optimization from tech-leads-club/agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/perf-web-optimization

Restart Cursor to activate perf-web-optimization. Access via /perf-web-optimization in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

name
perf-web-optimization
description
'Optimize web performance: bundle size, images, caching, lazy loading, and overall page speed. Use when site is slow, reducing bundle size, fixing layout shifts, improving Time to Interactive, or optimizing for Lighthouse scores. Triggers on: web performance, bundle size, page speed, slow site, lazy loading. Do NOT use for Core Web Vitals-specific fixes (use core-web-vitals), running Lighthouse audits (use perf-lighthouse), or Astro-specific optimization (use perf-astro).'

Web Performance Optimization

Systematic approach: Measure → Identify → Prioritize → Implement → Verify.

Target Metrics

MetricGoodNeeds WorkPoor
LCP< 2.5s2.5-4s> 4s
INP< 200ms200-500ms> 500ms
CLS< 0.10.1-0.25> 0.25
TTFB< 800ms800ms-1.8s> 1.8s

Quick Wins

1. Images (usually biggest impact on LCP)

<!-- Hero/LCP image: eager + high priority -->
<img src="/hero.webp" alt="Hero" width="1200" height="600" loading="eager" fetchpriority="high" decoding="async" />

<!-- Below fold: lazy load -->
<img src="/product.webp" alt="Product" width="400" height="300" loading="lazy" decoding="async" />

Always set width and height to prevent CLS.

2. Fonts (common LCP/CLS culprit)

<!-- Preconnect to font origin -->
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />

<!-- Non-blocking font load -->
<link
  rel="stylesheet"
  href="https://fonts.googleapis.com/css2?family=Inter&display=swap"
  media="print"
  onload="this.media='all'"
/>

3. Third-party Scripts (common INP killer)

<!-- Defer to user interaction -->
<script>
  function loadThirdParty() {
    // Load analytics, chat widgets, etc.
  }
  ;['scroll', 'click', 'touchstart'].forEach((e) => addEventListener(e, loadThirdParty, { once: true, passive: true }))
  setTimeout(loadThirdParty, 5000)
</script>

4. Critical CSS

Inline critical CSS in <head>, defer the rest:

<style>
  /* critical styles */
</style>
<link rel="preload" href="/styles.css" as="style" onload="this.rel='stylesheet'" />

Bundle Analysis

# Webpack
npx webpack-bundle-analyzer dist/stats.json

# Vite
npx vite-bundle-visualizer

# Check package size before installing
npx bundlephobia <package-name>

Common heavy packages to replace:

  • moment (67KB) → date-fns (12KB) or dayjs (2KB)
  • lodash (72KB) → cherry-pick imports or native methods

Code Splitting Patterns

// React lazy
const Chart = lazy(() => import('./Chart'))

// Next.js dynamic
const Admin = dynamic(() => import('./Admin'), { ssr: false })

// Vite/Rollup manual chunks
build: {
  rollupOptions: {
    output: {
      manualChunks: {
        vendor: ['react', 'react-dom']
      }
    }
  }
}

Caching Headers

# Static assets (immutable hash in filename)
Cache-Control: public, max-age=31536000, immutable

# HTML (revalidate)
Cache-Control: no-cache

# API responses
Cache-Control: private, max-age=0, must-revalidate

Measurement

For running audits, reading reports, and setting budgets, use the perf-lighthouse skill.

Checklist

Images

  • Modern formats (WebP/AVIF)
  • Responsive srcset
  • width/height attributes
  • loading="lazy" below fold
  • fetchpriority="high" on LCP image

JavaScript

  • Bundle < 200KB gzipped
  • Code splitting by route
  • Third-party scripts deferred
  • No unused dependencies

CSS

  • Critical CSS inlined
  • Non-critical CSS deferred
  • No unused CSS

Fonts

  • font-display: swap
  • Preconnect to font origin
  • Subset if possible

Detailed Examples

For in-depth optimization patterns, see:

List & Monetize Your Skill

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.652 reviews
  • K
    Kiara SharmaDec 28, 2024

    We added perf-web-optimization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • A
    Alexander MenonDec 16, 2024

    perf-web-optimization reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • N
    Noor AgarwalDec 12, 2024

    perf-web-optimization has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • I
    Ira MalhotraNov 19, 2024

    Useful defaults in perf-web-optimization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • A
    Alexander VermaNov 7, 2024

    Registry listing for perf-web-optimization matched our evaluation — installs cleanly and behaves as described in the markdown.

  • P
    Piyush GNov 3, 2024

    Keeps context tight: perf-web-optimization is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • N
    Noor PatelNov 3, 2024

    Solid pick for teams standardizing on skills: perf-web-optimization is focused, and the summary matches what you get after install.

  • A
    Alexander MartinOct 26, 2024

    Useful defaults in perf-web-optimization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • S
    Shikha MishraOct 22, 2024

    I recommend perf-web-optimization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • N
    Neel YangOct 22, 2024

    perf-web-optimization is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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