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Agent Skill · 研究检索

web-performance-optimization(网络性能优化)

web-performance-optimization 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

web-performance-optimization 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 14,817。

总安装 8,280周安装 345GitHub Stars 26,413下载 2,760核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:web-performance-optimization(网络性能优化)
来源仓库:https://github.com/davila7/claude-code-templates
仓库路径:skills/web-performance-optimization
安装命令:
npx skills add https://github.com/davila7/claude-code-templates --skill web-performance-optimization
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/davila7/claude-code-templates --skill web-performance-optimization

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

web-performance-optimization 提供网站性能的系统化分析与优化方案。覆盖 Core Web Vitals、JavaScript 包大小、图片压缩、缓存策略等关键指标。适用于提升加载速度、交互响应与 SEO 排名,改善用户体验与转化率。

使用时应先测量当前性能基线,再针对性地实施优化措施并持续监控改进效果。涉及资源替换或结构改动时,建议保留原始版本以便对比与回滚。

来源仓库内路径:skills/web-performance-optimization

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/davila7/claude-code-templates --skill web-perf…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

web-performance-optimization 怎么安装?

在终端执行 npx skills add https://github.com/davila7/claude-code-templates --skill web-performance-op…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

web-performance-optimization 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

web-performance-optimization 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

web-performance-optimization 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

web-performance-optimization 用的人多吗?

公开数据是累计安装 8,280 次,近一周安装 345 次,下载 2,760 次,GitHub 26,413 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

web-performance-optimization 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
web-performance-optimization

网络性能优化 · 本页

8,28026,413需要联网MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Web Performance Optimization

Overview

Help developers optimize website and web application performance to improve user experience, SEO rankings, and conversion rates. This skill provides systematic approaches to measure, analyze, and improve loading speed, runtime performance, and Core Web Vitals metrics.

When to Use This Skill

  • Use when website or app is loading slowly
  • Use when optimizing for Core Web Vitals (LCP, FID, CLS)
  • Use when reducing JavaScript bundle size
  • Use when improving Time to Interactive (TTI)
  • Use when optimizing images and assets
  • Use when implementing caching strategies
  • Use when debugging performance bottlenecks
  • Use when preparing for performance audits

How It Works

Step 1: Measure Current Performance

I'll help you establish baseline metrics:

  • Run Lighthouse audits
  • Measure Core Web Vitals (LCP, FID, CLS)
  • Check bundle sizes
  • Analyze network waterfall
  • Identify performance bottlenecks

Step 2: Identify Issues

Analyze performance problems:

  • Large JavaScript bundles
  • Unoptimized images
  • Render-blocking resources
  • Slow server response times
  • Missing caching headers
  • Layout shifts
  • Long tasks blocking main thread

Step 3: Prioritize Optimizations

Focus on high-impact improvements:

  • Critical rendering path optimization
  • Code splitting and lazy loading
  • Image optimization
  • Caching strategies
  • Third-party script optimization

Step 4: Implement Optimizations

Apply performance improvements:

  • Optimize assets (images, fonts, CSS, JS)
  • Implement code splitting
  • Add caching headers
  • Lazy load non-critical resources
  • Optimize critical rendering path

Step 5: Verify Improvements

Measure impact of changes:

  • Re-run Lighthouse audits
  • Compare before/after metrics
  • Monitor real user metrics (RUM)
  • Test on different devices and networks

Examples

Example 1: Optimizing Core Web Vitals

## Performance Audit Results

### Current Metrics (Before Optimization)
- **LCP (Largest Contentful Paint):** 4.2s ❌ (should be < 2.5s)
- **FID (First Input Delay):** 180ms ❌ (should be < 100ms)
- **CLS (Cumulative Layout Shift):** 0.25 ❌ (should be < 0.1)
- **Lighthouse Score:** 62/100

### Issues Identified

1. **LCP Issue:** Hero image (2.5MB) loads slowly
2. **FID Issue:** Large JavaScript bundle (850KB) blocks main thread
3. **CLS Issue:** Images without dimensions cause layout shifts

### Optimization Plan

#### Fix LCP (Largest Contentful Paint)

**Problem:** Hero image is 2.5MB and loads slowly

**Solutions:**
\`\`\`html
<!-- Before: Unoptimized image -->
<img src="/hero.jpg" alt="Hero">

<!-- After: Optimized with modern formats -->
<picture>
  <source srcset="/hero.avif" type="image/avif">
  <source srcset="/hero.webp" type="image/webp">
  <img
    src="/hero.jpg"
    alt="Hero"
    width="1200"
    height="600"
    loading="eager"
    fetchpriority="high"
  >
</picture>
\`\`\`

**Additional optimizations:**
- Compress image to < 200KB
- Use CDN for faster delivery
- Preload hero image: `<link rel="preload" as="image" href="/hero.avif">`

#### Fix FID (First Input Delay)

**Problem:** 850KB JavaScript bundle blocks main thread

**Solutions:**

1. **Code Splitting:**
\`\`\`javascript
// Before: Everything in one bundle
import { HeavyComponent } from './HeavyComponent';
import { Analytics } from './analytics';
import { ChatWidget } from './chat';

// After: Lazy load non-critical code
const HeavyComponent = lazy(() => import('./HeavyComponent'));
const ChatWidget = lazy(() => import('./chat'));

// Load analytics after page interactive
if (typeof window !== 'undefined') {
  window.addEventListener('load', () => {
    import('./analytics').then(({ Analytics }) => {
      Analytics.init();
    });
  });
}
\`\`\`

2. **Remove Unused Dependencies:**
\`\`\`bash
# Analyze bundle
npx webpack-bundle-analyzer

# Remove unused packages
npm uninstall moment  # Use date-fns instead (smaller)
npm install date-fns
\`\`\`

3. **Defer Non-Critical Scripts:**
\`\`\`html
<!-- Before: Blocks rendering -->
<script src="/analytics.js"></script>

<!-- After: Deferred -->
<script src="/analytics.js" defer></script>
\`\`\`

#### Fix CLS (Cumulative Layout Shift)

**Problem:** Images without dimensions cause layout shifts

**Solutions:**
\`\`\`html
<!-- Before: No dimensions -->
<img src="/product.jpg" alt="Product">

<!-- After: With dimensions -->
<img
  src="/product.jpg"
  alt="Product"
  width="400"
  height="300"
  style="aspect-ratio: 4/3;"
>
\`\`\`

**For dynamic content:**
\`\`\`css
/* Reserve space for content that loads later */
.skeleton-loader {
  min-height: 200px;
  background: linear-gradient(90deg, #f0f0f0 25%, #e0e0e0 50%, #f0f0f0 75%);
  background-size: 200% 100%;
  animation: loading 1.5s infinite;
}

@keyframes loading {
  0% { background-position: 200% 0; }
  100% { background-position: -200% 0; }
}
\`\`\`

### Results After Optimization

- **LCP:** 1.8s ✅ (improved by 57%)
- **FID:** 45ms ✅ (improved by 75%)
- **CLS:** 0.05 ✅ (improved by 80%)
- **Lighthouse Score:** 94/100 ✅

Example 2: Reducing JavaScript Bundle Size

## Bundle Size Optimization

### Current State
- **Total Bundle:** 850KB (gzipped: 280KB)
- **Main Bundle:** 650KB
- **Vendor Bundle:** 200KB
- **Load Time (3G):** 8.2s

### Analysis

\`\`\`bash
# Analyze bundle composition
npx webpack-bundle-analyzer dist/stats.json
\`\`\`

**Findings:**
1. Moment.js: 67KB (can replace with date-fns: 12KB)
2. Lodash: 72KB (using entire library, only need 5 functions)
3. Unused code: ~150KB of dead code
4. No code splitting: Everything in one bundle

### Optimization Steps

#### 1. Replace Heavy Dependencies

\`\`\`bash
# Remove moment.js (67KB) → Use date-fns (12KB)
npm uninstall moment
npm install date-fns

# Before
import moment from 'moment';
const formatted = moment(date).format('YYYY-MM-DD');

# After
import { format } from 'date-fns';
const formatted = format(date, 'yyyy-MM-dd');
\`\`\`

**Savings:** 55KB

#### 2. Use Lodash Selectively

\`\`\`javascript
// Before: Import entire library (72KB)
import _ from 'lodash';
const unique = _.uniq(array);

// After: Import only what you need (5KB)
import uniq from 'lodash/uniq';
const unique = uniq(array);

// Or use native methods
const unique = [...new Set(array)];
\`\`\`

**Savings:** 67KB

#### 3. Implement Code Splitting

\`\`\`javascript
// Next.js example
import dynamic from 'next/dynamic';

// Lazy load heavy components
const Chart = dynamic(() => import('./Chart'), {
  loading: () => <div>Loading chart...</div>,
  ssr: false
});

const AdminPanel = dynamic(() => import('./AdminPanel'), {
  loading: () => <div>Loading...</div>
});

// Route-based code splitting (automatic in Next.js)
// pages/admin.js - Only loaded when visiting /admin
// pages/dashboard.js - Only loaded when visiting /dashboard
\`\`\`

#### 4. Remove Dead Code

\`\`\`javascript
// Enable tree shaking in webpack.config.js
module.exports = {
  mode: 'production',
  optimization: {
    usedExports: true,
    sideEffects: false
  }
};

// In package.json
{
  "sideEffects": false
}
\`\`\`

#### 5. Optimize Third-Party Scripts

\`\`\`html
<!-- Before: Loads immediately -->
<script src="https://analytics.com/script.js"></script>

<!-- After: Load after page interactive -->
<script>
  window.addEventListener('load', () => {
    const script = document.createElement('script');
    script.src = 'https://analytics.com/script.js';
    script.async = true;
    document.body.appendChild(script);
  });
</script>
\`\`\`

### Results

- **Total Bundle:** 380KB ✅ (reduced by 55%)
- **Main Bundle:** 180KB ✅
- **Vendor Bundle:** 80KB ✅
- **Load Time (3G):** 3.1s ✅ (improved by 62%)

Example 3: Image Optimization Strategy

## Image Optimization

### Current Issues
- 15 images totaling 12MB
- No modern formats (WebP, AVIF)
- No responsive images
- No lazy loading

### Optimization Strategy

#### 1. Convert to Modern Formats

\`\`\`bash
# Install image optimization tools
npm install sharp

# Conversion script (optimize-images.js)
const sharp = require('sharp');
const fs = require('fs');
const path = require('path');

async function optimizeImage(inputPath, outputDir) {
  const filename = path.basename(inputPath, path.extname(inputPath));

  // Generate WebP
  await sharp(inputPath)
    .webp({ quality: 80 })
    .toFile(path.join(outputDir, \`\${filename}.webp\`));

  // Generate AVIF (best compression)
  await sharp(inputPath)
    .avif({ quality: 70 })
    .toFile(path.join(outputDir, \`\${filename}.avif\`));

  // Generate optimized JPEG fallback
  await sharp(inputPath)
    .jpeg({ quality: 80, progressive: true })
    .toFile(path.join(outputDir, \`\${filename}.jpg\`));
}

// Process all images
const images = fs.readdirSync('./images');
images.forEach(img => {
  optimizeImage(\`./images/\${img}\`, './images/optimized');
});
\`\`\`

#### 2. Implement Responsive Images

\`\`\`html
<!-- Responsive images with modern formats -->
<picture>
  <!-- AVIF for browsers that support it (best compression) -->
  <source
    srcset="
      /images/hero-400.avif 400w,
      /images/hero-800.avif 800w,
      /images/hero-1200.avif 1200w
    "
    type="image/avif"
    sizes="(max-width: 768px) 100vw, 50vw"
  >

  <!-- WebP for browsers that support it -->
  <source
    srcset="
      /images/hero-400.webp 400w,
      /images/hero-800.webp 800w,
      /images/hero-1200.webp 1200w
    "
    type="image/webp"
    sizes="(max-width: 768px) 100vw, 50vw"
  >

  <!-- JPEG fallback -->
  <img
    src="/images/hero-800.jpg"
    srcset="
      /images/hero-400.jpg 400w,
      /images/hero-800.jpg 800w,
      /images/hero-1200.jpg 1200w
    "
    sizes="(max-width: 768px) 100vw, 50vw"
    alt="Hero image"
    width="1200"
    height="600"
    loading="lazy"
  >
</picture>
\`\`\`

#### 3. Lazy Loading

\`\`\`html
<!-- Native lazy loading -->
<img
  src="/image.jpg"
  alt="Description"
  loading="lazy"
  width="800"
  height="600"
>

<!-- Eager loading for above-the-fold images -->
<img
  src="/hero.jpg"
  alt="Hero"
  loading="eager"
  fetchpriority="high"
>
\`\`\`

#### 4. Next.js Image Component

\`\`\`javascript
import Image from 'next/image';

// Automatic optimization
<Image
  src="/hero.jpg"
  alt="Hero"
  width={1200}
  height={600}
  priority  // For above-the-fold images
  quality={80}
/>

// Lazy loaded
<Image
  src="/product.jpg"
  alt="Product"
  width={400}
  height={300}
  loading="lazy"
/>
\`\`\`

### Results

| Metric | Before | After | Improvement |
|--------|--------|-------|-------------|
| Total Image Size | 12MB | 1.8MB | 85% reduction |
| LCP | 4.5s | 1.6s | 64% faster |
| Page Load (3G) | 18s | 4.2s | 77% faster |

Best Practices

✅ Do This

  • Measure First - Always establish baseline metrics before optimizing
  • Use Lighthouse - Run audits regularly to track progress
  • Optimize Images - Use modern formats (WebP, AVIF) and responsive images
  • Code Split - Break large bundles into smaller chunks
  • Lazy Load - Defer non-critical resources
  • Cache Aggressively - Set proper cache headers for static assets
  • Minimize Main Thread Work - Keep JavaScript execution under 50ms chunks
  • Preload Critical Resources - Use <link rel="preload"> for critical assets
  • Use CDN - Serve static assets from CDN for faster delivery
  • Monitor Real Users - Track Core Web Vitals from real users

❌ Don't Do This

  • Don't Optimize Blindly - Measure first, then optimize
  • Don't Ignore Mobile - Test on real mobile devices and slow networks
  • Don't Block Rendering - Avoid render-blocking CSS and JavaScript
  • Don't Load Everything Upfront - Lazy load non-critical resources
  • Don't Forget Dimensions - Always specify image width/height
  • Don't Use Synchronous Scripts - Use async or defer attributes
  • Don't Ignore Third-Party Scripts - They often cause performance issues
  • Don't Skip Compression - Always compress and minify assets

Common Pitfalls

Problem: Optimized for Desktop but Slow on Mobile

Symptoms: Good Lighthouse score on desktop, poor on mobile Solution:

  • Test on real mobile devices
  • Use Chrome DevTools mobile throttling
  • Optimize for 3G/4G networks
  • Reduce JavaScript execution time
# Test with throttling
lighthouse https://yoursite.com --throttling.cpuSlowdownMultiplier=4

Problem: Large JavaScript Bundle

Symptoms: Long Time to Interactive (TTI), high FID Solution:

  • Analyze bundle with webpack-bundle-analyzer
  • Remove unused dependencies
  • Implement code splitting
  • Lazy load non-critical code
# Analyze bundle
npx webpack-bundle-analyzer dist/stats.json

Problem: Images Causing Layout Shifts

Symptoms: High CLS score, content jumping Solution:

  • Always specify width and height
  • Use aspect-ratio CSS property
  • Reserve space with skeleton loaders
img {
  aspect-ratio: 16 / 9;
  width: 100%;
  height: auto;
}

Problem: Slow Server Response Time

Symptoms: High TTFB (Time to First Byte) Solution:

  • Implement server-side caching
  • Use CDN for static assets
  • Optimize database queries
  • Consider static site generation (SSG)
// Next.js: Static generation
export async function getStaticProps() {
  const data = await fetchData();
  return {
    props: { data },
    revalidate: 60 // Regenerate every 60 seconds
  };
}

Performance Checklist

Images

  • Convert to modern formats (WebP, AVIF)
  • Implement responsive images
  • Add lazy loading
  • Specify dimensions (width/height)
  • Compress images (< 200KB each)
  • Use CDN for delivery

JavaScript

  • Bundle size < 200KB (gzipped)
  • Implement code splitting
  • Lazy load non-critical code
  • Remove unused dependencies
  • Minify and compress
  • Use async/defer for scripts

CSS

  • Inline critical CSS
  • Defer non-critical CSS
  • Remove unused CSS
  • Minify CSS files
  • Use CSS containment

Caching

  • Set cache headers for static assets
  • Implement service worker
  • Use CDN caching
  • Cache API responses
  • Version static assets

Core Web Vitals

  • LCP < 2.5s
  • FID < 100ms
  • CLS < 0.1
  • TTFB < 600ms
  • TTI < 3.8s

Performance Tools

Measurement Tools

  • Lighthouse - Comprehensive performance audit
  • WebPageTest - Detailed waterfall analysis
  • Chrome DevTools - Performance profiling
  • PageSpeed Insights - Real user metrics
  • Web Vitals Extension - Monitor Core Web Vitals

Analysis Tools

  • webpack-bundle-analyzer - Visualize bundle composition
  • source-map-explorer - Analyze bundle size
  • Bundlephobia - Check package sizes before installing
  • ImageOptim - Image compression tool

Monitoring Tools

  • Google Analytics - Track Core Web Vitals
  • Sentry - Performance monitoring
  • New Relic - Application performance monitoring
  • Datadog - Real user monitoring

Related Skills

  • @react-best-practices - React performance patterns
  • @frontend-dev-guidelines - Frontend development standards
  • @systematic-debugging - Debug performance issues
  • @senior-architect - Architecture for performance

Additional Resources


Pro Tip: Focus on Core Web Vitals (LCP, FID, CLS) first - they have the biggest impact on user experience and SEO rankings!

平台分布

Claude Code

28.3%
按下载量换算781

Cursor

25.48%
按下载量换算703

OpenCode

17.62%
按下载量换算486

Antigravity

12.82%
按下载量换算354

Gemini CLI

8.13%
按下载量换算224

Codex

3.88%
按下载量换算107

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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