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frontend-performance前端性能

Agent Skill

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。它适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。

总安装

2,133

周安装

88

GitHub Stars

11

下载量

697
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:frontend-performance(前端性能)
来源仓库:https://github.com/b-open-io/prompts
仓库路径:skills/frontend-performance
安装命令:
npx skills add https://github.com/b-open-io/prompts --skill frontend-performance
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/b-open-io/prompts --skill frontend-performance

简介

诊断 Next.js 应用性能瓶颈并提供 Lighthouse 指标解析方案。

  • 集成自动化审计脚本抓取 FCP/LCP/TBT/CLS 核心数据点。
  • 输出结构化 JSON 便于持续集成流水线中的阈值告警设置。
  • 建议配合本地开发服务器运行以获得最准确的测量结果。
  • frontend-performance 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Frontend Performance Optimization

Diagnose and fix performance issues in Next.js applications.

Quick Diagnostics

Run Lighthouse CLI

# Performance audit (headless)
npx lighthouse http://localhost:3000 --output=json --output-path=./lighthouse.json --chrome-flags="--headless" --only-categories=performance

# Parse key metrics
cat lighthouse.json | jq '{
  score: .categories.performance.score,
  FCP: .audits["first-contentful-paint"].displayValue,
  LCP: .audits["largest-contentful-paint"].displayValue,
  TBT: .audits["total-blocking-time"].displayValue,
  CLS: .audits["cumulative-layout-shift"].displayValue
}'

# Find slow scripts
cat lighthouse.json | jq '.audits["bootup-time"].details.items | .[0:8]'

# Main thread breakdown
cat lighthouse.json | jq '.audits["mainthread-work-breakdown"].details.items'

Important: Always test production builds (next build && next start), not dev mode. Dev mode has 2-10x overhead from HMR, source maps, and no optimizations.

Bundle Analysis

# Install
bun add -d @next/bundle-analyzer

# Run analysis
ANALYZE=true bun run build

Configure in next.config.js:

import bundleAnalyzer from '@next/bundle-analyzer'

const withBundleAnalyzer = bundleAnalyzer({
  enabled: process.env.ANALYZE === 'true',
})

export default withBundleAnalyzer(nextConfig)

Common Fixes

1. optimizePackageImports

For libraries with many exports (icons, utilities, animation libraries):

// next.config.js
const nextConfig = {
  experimental: {
    optimizePackageImports: [
      'framer-motion',
      'lucide-react',
      '@phosphor-icons/react',
      'lodash',
      'date-fns',
      '@heroicons/react',
    ],
  },
}

This ensures tree-shaking works correctly - only imports you use get bundled.

2. Framer Motion - Variants Pattern

WRONG - Creates N animation controllers:

// Each element has its own animation state - expensive!
{items.map((item, i) => (
  <motion.div
    key={i}
    initial={{ opacity: 0, y: 20 }}
    animate={{ opacity: 1, y: 0 }}
    transition={{ delay: i * 0.05 }}  // Individual delays
  >
    {item}
  </motion.div>
))}

RIGHT - Single controller with staggerChildren:

// Parent controls all children - efficient!
const containerVariants = {
  hidden: {},
  visible: {
    transition: {
      staggerChildren: 0.05,
    },
  },
}

const itemVariants = {
  hidden: { opacity: 0, y: 20 },
  visible: {
    opacity: 1,
    y: 0,
    transition: { type: 'spring' as const, damping: 15 }
  },
}

<motion.div
  variants={containerVariants}
  initial="hidden"
  animate="visible"
>
  {items.map((item, i) => (
    <motion.div key={i} variants={itemVariants}>
      {item}
    </motion.div>
  ))}
</motion.div>

Also avoid:

  • filter: blur() in animations - very expensive
  • Too many infinite animations (reduce or use CSS)
  • Individual transition props on children when using variants

3. Move Heavy Computation Server-Side

Keep these out of client bundles:

  • Syntax highlighting: use shiki server-side, not prism-react-renderer
  • Markdown parsing: render on server
  • Date formatting libraries: consider Intl.DateTimeFormat
  • Large data transformations: API routes or server components

4. Image Optimization

// Always use next/image
import Image from 'next/image'

<Image
  src="/hero.jpg"
  alt="Hero"
  width={1200}
  height={600}
  priority  // For LCP images
  placeholder="blur"  // Reduces CLS
/>

5. Font Optimization

// app/layout.tsx
import { Inter } from 'next/font/google'

const inter = Inter({
  subsets: ['latin'],
  display: 'swap',  // Prevents FOIT
  preload: true,
})

6. External Packages (Server Only)

Prevent server-only packages from being bundled:

// next.config.js
const nextConfig = {
  serverExternalPackages: ['sharp', 'canvas'],
}

Performance Targets

MetricGoodNeeds ImprovementPoor
LCP≤2.5s2.5-4s>4s
FCP≤1.8s1.8-3s>3s
TBT≤200ms200-600ms>600ms
CLS≤0.10.1-0.25>0.25

Debugging Workflow

  1. Run production Lighthouse - Get baseline metrics
  2. Check bootup-time audit - Find slow scripts
  3. Run bundle analyzer - Identify large chunks
  4. Fix largest issues first - Usually 1-2 packages cause most problems
  5. Re-test - Verify improvements

Quick Wins Checklist

  • Test production build, not dev
  • Add optimizePackageImports for icon/utility libraries
  • Use Framer Motion variants pattern
  • Remove filter: blur() from animations
  • Add priority to LCP images
  • Use next/font with display: swap
  • Move heavy libraries to server components

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

34.96%
按下载量换算244

Claude

31.5%
按下载量换算220

Cursor

16.47%
按下载量换算115

Gemini CLI

9.23%
按下载量换算64

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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