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performance-optimizer性能优化器

Agent Skill

performance-optimizer 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

总安装

196

周安装

8

GitHub Stars

27

下载量

63
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:performance-optimizer(性能优化器)
来源仓库:https://github.com/armanzeroeight/fastagent-plugins
仓库路径:skills/performance-optimizer
安装命令:
npx skills add https://github.com/armanzeroeight/fastagent-plugins --skill performance-optimizer
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/armanzeroeight/fastagent-plugins --skill performance-optimizer

简介

用于前端性能优化,聚焦 Core Web Vitals 指标改善。

  • 提供 Lighthouse 测量、图片压缩与代码分割实施指南。
  • 适用于加载速度提升与交互延迟降低场景。performance-optimizer 属于前端设计类 Skill,可作为该场景下的辅助能力补充。
  • 安装方式:通过 npx skills add 命令从指定 GitHub 仓库添加。
  • 使用前应明确目标用户设备类型与网络条件,避免过度优化。

SKILL.md

Performance Optimizer

Optimize frontend performance for faster load times and better user experience.

Quick Start

Measure with Lighthouse, optimize images, code split, lazy load, minimize bundle size, implement caching.

Instructions

Core Web Vitals

Largest Contentful Paint (LCP):

  • Target: < 2.5s
  • Measures: Loading performance
  • Optimize: Images, fonts, server response

First Input Delay (FID):

  • Target: < 100ms
  • Measures: Interactivity
  • Optimize: JavaScript execution, code splitting

Cumulative Layout Shift (CLS):

  • Target: < 0.1
  • Measures: Visual stability
  • Optimize: Image dimensions, font loading

Bundle Size Optimization

Analyze bundle:

# With webpack-bundle-analyzer
npm install --save-dev webpack-bundle-analyzer

# Add to webpack config
const BundleAnalyzerPlugin = require('webpack-bundle-analyzer').BundleAnalyzerPlugin;

plugins: [
  new BundleAnalyzerPlugin()
]

# Or with Vite
npm install --save-dev rollup-plugin-visualizer

Code splitting:

// Route-based splitting
const Dashboard = lazy(() => import('./pages/Dashboard'));
const Profile = lazy(() => import('./pages/Profile'));

function App() {
  return (
    <Suspense fallback={<Loading />}>
      <Routes>
        <Route path="/dashboard" element={<Dashboard />} />
        <Route path="/profile" element={<Profile />} />
      </Routes>
    </Suspense>
  );
}

Component-based splitting:

const HeavyChart = lazy(() => import('./HeavyChart'));

function Dashboard() {
  return (
    <div>
      <Suspense fallback={<ChartSkeleton />}>
        <HeavyChart data={data} />
      </Suspense>
    </div>
  );
}

Tree shaking:

// Bad: Imports entire library
import _ from 'lodash';

// Good: Import only what you need
import debounce from 'lodash/debounce';

// Or use lodash-es
import { debounce } from 'lodash-es';

Image Optimization

Use Next.js Image:

import Image from 'next/image';

<Image
  src="/hero.jpg"
  alt="Hero image"
  width={1200}
  height={600}
  priority // For above-fold images
  placeholder="blur"
/>

Lazy load images:

<img
  src="image.jpg"
  alt="Description"
  loading="lazy"
  width="800"
  height="600"
/>

Use modern formats:

<picture>
  <source srcSet="image.avif" type="image/avif" />
  <source srcSet="image.webp" type="image/webp" />
  <img src="image.jpg" alt="Description" />
</picture>

Responsive images:

<img
  srcSet="
    image-320w.jpg 320w,
    image-640w.jpg 640w,
    image-1280w.jpg 1280w
  "
  sizes="(max-width: 640px) 100vw, 640px"
  src="image-640w.jpg"
  alt="Description"
/>

JavaScript Optimization

Minimize JavaScript:

# Production build
npm run build

# Check bundle size
ls -lh dist/assets/*.js

Remove unused code:

// Use ES modules for tree shaking
export { specificFunction };

// Avoid default exports of large objects

Defer non-critical JS:

<script src="analytics.js" defer></script>
<script src="non-critical.js" async></script>

CSS Optimization

Critical CSS:

// Inline critical CSS
<style dangerouslySetInnerHTML={{
  __html: criticalCSS
}} />

// Load rest async
<link
  rel="preload"
  href="/styles.css"
  as="style"
  onLoad="this.onload=null;this.rel='stylesheet'"
/>

Remove unused CSS:

# Use PurgeCSS
npm install --save-dev @fullhuman/postcss-purgecss

# Or use Tailwind's built-in purge

CSS-in-JS optimization:

// Use styled-components with babel plugin
// Or use zero-runtime solutions like Linaria

Lazy Loading

Intersection Observer:

function LazyComponent() {
  const [isVisible, setIsVisible] = useState(false);
  const ref = useRef();

  useEffect(() => {
    const observer = new IntersectionObserver(
      ([entry]) => {
        if (entry.isIntersecting) {
          setIsVisible(true);
          observer.disconnect();
        }
      },
      { threshold: 0.1 }
    );

    if (ref.current) {
      observer.observe(ref.current);
    }

    return () => observer.disconnect();
  }, []);

  return (
    <div ref={ref}>
      {isVisible ? <HeavyComponent /> : <Placeholder />}
    </div>
  );
}

React.lazy with retry:

function lazyWithRetry(componentImport) {
  return lazy(() =>
    componentImport().catch(() => {
      // Retry once
      return componentImport();
    })
  );
}

const Dashboard = lazyWithRetry(() => import('./Dashboard'));

Caching Strategies

Service Worker:

// Cache static assets
self.addEventListener('install', (event) => {
  event.waitUntil(
    caches.open('v1').then((cache) => {
      return cache.addAll([
        '/',
        '/styles.css',
        '/script.js',
      ]);
    })
  );
});

HTTP caching headers:

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

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

# API responses
Cache-Control: private, max-age=300

React Query caching:

const queryClient = new QueryClient({
  defaultOptions: {
    queries: {
      staleTime: 5 * 60 * 1000, // 5 minutes
      cacheTime: 10 * 60 * 1000, // 10 minutes
    },
  },
});

Font Optimization

Font loading:

@font-face {
  font-family: 'MyFont';
  src: url('/fonts/myfont.woff2') format('woff2');
  font-display: swap; /* Show fallback immediately */
}

Preload fonts:

<link
  rel="preload"
  href="/fonts/myfont.woff2"
  as="font"
  type="font/woff2"
  crossorigin
/>

Variable fonts:

/* Single file for multiple weights */
@font-face {
  font-family: 'Inter';
  src: url('/fonts/inter-var.woff2') format('woff2');
  font-weight: 100 900;
}

Rendering Optimization

Avoid layout thrashing:

// Bad: Read-write-read-write
element.style.width = element.offsetWidth + 10 + 'px';
element2.style.width = element2.offsetWidth + 10 + 'px';

// Good: Batch reads, then writes
const width1 = element.offsetWidth;
const width2 = element2.offsetWidth;
element.style.width = width1 + 10 + 'px';
element2.style.width = width2 + 10 + 'px';

Use CSS transforms:

/* Bad: Triggers layout */
.element {
  left: 100px;
}

/* Good: GPU accelerated */
.element {
  transform: translateX(100px);
}

Virtualize long lists:

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

function VirtualList({ items }) {
  const parentRef = useRef();

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

  return (
    <div ref={parentRef} style={{ height: '400px', overflow: 'auto' }}>
      <div style={{ height: `${virtualizer.getTotalSize()}px` }}>
        {virtualizer.getVirtualItems().map(virtualItem => (
          <div
            key={virtualItem.key}
            style={{
              position: 'absolute',
              top: 0,
              left: 0,
              width: '100%',
              transform: `translateY(${virtualItem.start}px)`,
            }}
          >
            {items[virtualItem.index].name}
          </div>
        ))}
      </div>
    </div>
  );
}

Performance Monitoring

Web Vitals:

import { getCLS, getFID, getFCP, getLCP, getTTFB } from 'web-vitals';

function sendToAnalytics(metric) {
  // Send to analytics service
  console.log(metric);
}

getCLS(sendToAnalytics);
getFID(sendToAnalytics);
getFCP(sendToAnalytics);
getLCP(sendToAnalytics);
getTTFB(sendToAnalytics);

Performance Observer:

const observer = new PerformanceObserver((list) => {
  for (const entry of list.getEntries()) {
    console.log(entry.name, entry.duration);
  }
});

observer.observe({ entryTypes: ['measure', 'navigation'] });

Performance Checklist

Loading:

  • Bundle size < 200KB (gzipped)
  • Images optimized and lazy loaded
  • Code split by route
  • Critical CSS inlined
  • Fonts preloaded

Rendering:

  • No layout shifts (CLS < 0.1)
  • Fast initial render (LCP < 2.5s)
  • Smooth interactions (FID < 100ms)
  • Virtual scrolling for long lists
  • Memoization for expensive components

Caching:

  • Service worker for offline
  • HTTP caching headers
  • API response caching
  • Static assets cached

Monitoring:

  • Lighthouse CI
  • Real User Monitoring (RUM)
  • Performance budgets
  • Core Web Vitals tracking

Best Practices

Performance budgets:

{
  "budgets": [{
    "resourceSizes": [{
      "resourceType": "script",
      "budget": 200
    }, {
      "resourceType": "image",
      "budget": 500
    }]
  }]
}

Lighthouse CI:

# .lighthouserc.json
{
  "ci": {
    "assert": {
      "assertions": {
        "categories:performance": ["error", {"minScore": 0.9}],
        "first-contentful-paint": ["error", {"maxNumericValue": 2000}]
      }
    }
  }
}

Regular audits:

  • Weekly: Check bundle size
  • Monthly: Full Lighthouse audit
  • Quarterly: Performance review

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.19%
按下载量换算23

Claude

32.11%
按下载量换算20

Cursor

19.05%
按下载量换算12

Gemini CLI

10.05%
按下载量换算6

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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