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performance-optimization性能优化

Agent Skill

performance-optimization 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

1,188

周安装

50

GitHub Stars

2

下载量

416
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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

3

许可证

MIT

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-optimization(性能优化)
来源仓库:https://github.com/pluginagentmarketplace/custom-plugin-nodejs
仓库路径:skills/performance-optimization
安装命令:
npx skills add https://github.com/pluginagentmarketplace/custom-plugin-nodejs --skill 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/pluginagentmarketplace/custom-plugin-nodejs --skill performance-optimization

简介

用于处理 GitHub 仓库、Issue 和 Pull Request 协作信息。

  • 适合围绕代码变更或协作事项进行整理。
  • 需确保有对应仓库读取权限。performance-optimization 属于待分类类 Skill,可作为该场景下的辅助能力补充。
  • 不涉及自动合并或强制推送操作。
  • 安装前建议核对命令格式与宿主兼容性。

SKILL.md

Performance Optimization Skill

Master Node.js performance optimization for fast, scalable, and efficient backend applications.

Quick Start

Optimize in 4 areas:

  1. Caching - Redis/in-memory caching
  2. Clustering - Use all CPU cores
  3. Profiling - Find bottlenecks
  4. Monitoring - Track performance

Core Concepts

Caching with Redis

const redis = require('redis');
const client = redis.createClient({ url: process.env.REDIS_URL });

// Cache middleware
async function cacheMiddleware(req, res, next) {
  const key = `cache:${req.originalUrl}`;

  const cached = await client.get(key);
  if (cached) {
    return res.json(JSON.parse(cached));
  }

  // Override res.json to cache response
  const originalJson = res.json.bind(res);
  res.json = (data) => {
    client.setEx(key, 3600, JSON.stringify(data)); // 1 hour
    originalJson(data);
  };

  next();
}

// Usage
app.get('/api/users', cacheMiddleware, getUsers);

Clustering (Use All CPU Cores)

const cluster = require('cluster');
const os = require('os');

if (cluster.isMaster) {
  const numCPUs = os.cpus().length;

  console.log(`Master ${process.pid} starting ${numCPUs} workers`);

  for (let i = 0; i < numCPUs; i++) {
    cluster.fork();
  }

  cluster.on('exit', (worker) => {
    console.log(`Worker ${worker.process.pid} died, restarting...`);
    cluster.fork();
  });
} else {
  // Worker process - start Express server
  const app = require('./app');
  app.listen(3000, () => {
    console.log(`Worker ${process.pid} started`);
  });
}

Learning Path

Beginner (2-3 weeks)

  • ✅ Implement basic caching
  • ✅ Use compression middleware
  • ✅ Optimize database queries
  • ✅ Enable production mode

Intermediate (4-5 weeks)

  • ✅ Setup Redis caching
  • ✅ Implement clustering
  • ✅ Database indexing
  • ✅ Response pagination

Advanced (6-8 weeks)

  • ✅ CPU/memory profiling
  • ✅ Load balancing
  • ✅ CDN integration
  • ✅ Performance monitoring

Database Optimization

Connection Pooling

// PostgreSQL pool
const { Pool } = require('pg');

const pool = new Pool({
  max: 20,  // Max connections
  min: 5,   // Min connections
  idleTimeoutMillis: 30000
});

// MongoDB with Mongoose
mongoose.connect(uri, {
  maxPoolSize: 10,
  minPoolSize: 5
});

Query Optimization

// ❌ Bad: N+1 query problem
const users = await User.find();
for (const user of users) {
  user.posts = await Post.find({ userId: user.id }); // N queries
}

// ✅ Good: Single query with join
const users = await User.find().populate('posts'); // 1 query

// Add indexes
userSchema.index({ email: 1 }, { unique: true });
userSchema.index({ createdAt: -1 });

// Use lean() for read-only queries (faster)
const users = await User.find().lean(); // Returns plain objects

Pagination

async function getUsers(req, res) {
  const page = parseInt(req.query.page) || 1;
  const limit = parseInt(req.query.limit) || 10;
  const skip = (page - 1) * limit;

  const [users, total] = await Promise.all([
    User.find().limit(limit).skip(skip),
    User.countDocuments()
  ]);

  res.json({
    data: users,
    pagination: {
      page,
      limit,
      total,
      pages: Math.ceil(total / limit)
    }
  });
}

Response Optimization

Compression

const compression = require('compression');

app.use(compression({
  level: 6,
  threshold: 1024  // Only compress > 1KB
}));

Response Caching Headers

app.get('/api/static-data', (req, res) => {
  res.set('Cache-Control', 'public, max-age=3600'); // Cache 1 hour
  res.json(data);
});

// For frequently changing data
res.set('Cache-Control', 'public, max-age=60'); // Cache 1 minute

Async Optimization

Parallel Execution

// ❌ Sequential (300ms)
const users = await getUsers();    // 100ms
const posts = await getPosts();    // 100ms
const comments = await getComments(); // 100ms

// ✅ Parallel (100ms)
const [users, posts, comments] = await Promise.all([
  getUsers(),
  getPosts(),
  getComments()
]);

Stream Large Files

const fs = require('fs');

// ❌ Bad: Load entire file into memory
app.get('/large-file', async (req, res) => {
  const data = await fs.promises.readFile('large.txt');
  res.send(data);
});

// ✅ Good: Stream file
app.get('/large-file', (req, res) => {
  const stream = fs.createReadStream('large.txt');
  stream.pipe(res);
});

CPU Profiling

Built-in Profiler

# Start with profiler
node --prof app.js

# Generate readable output
node --prof-process isolate-0x*.log > profile.txt

Performance Measurement

const { performance } = require('perf_hooks');

const start = performance.now();
await heavyOperation();
const end = performance.now();
console.log(`Operation took ${end - start}ms`);

Memory Optimization

Avoid Memory Leaks

// ❌ Bad: Memory leak
const cache = {};
app.get('/data/:id', (req, res) => {
  cache[req.params.id] = data; // Never cleaned up
  res.json(data);
});

// ✅ Good: Use LRU cache with limits
const LRU = require('lru-cache');
const cache = new LRU({
  max: 500,  // Max 500 items
  maxAge: 1000 * 60 * 60  // TTL: 1 hour
});

Monitor Memory

const used = process.memoryUsage();
console.log({
  rss: `${Math.round(used.rss / 1024 / 1024)}MB`,
  heapTotal: `${Math.round(used.heapTotal / 1024 / 1024)}MB`,
  heapUsed: `${Math.round(used.heapUsed / 1024 / 1024)}MB`
});

Monitoring & APM

Winston Logging

const winston = require('winston');

const logger = winston.createLogger({
  level: 'info',
  format: winston.format.json(),
  transports: [
    new winston.transports.File({ filename: 'error.log', level: 'error' }),
    new winston.transports.File({ filename: 'combined.log' })
  ]
});

// Request logging
app.use((req, res, next) => {
  const start = Date.now();

  res.on('finish', () => {
    logger.info('HTTP Request', {
      method: req.method,
      url: req.url,
      status: res.statusCode,
      duration: Date.now() - start
    });
  });

  next();
});

APM Tools

  • New Relic - Full-stack monitoring
  • Datadog - Infrastructure + APM
  • Dynatrace - AI-powered monitoring
  • PM2 Plus - Node.js specific monitoring

Load Testing

Artillery

# load-test.yml
config:
  target: 'http://localhost:3000'
  phases:
    - duration: 60
      arrivalRate: 10

scenarios:
  - name: "Get users"
    flow:
      - get:
          url: "/api/users"
artillery run load-test.yml

Performance Checklist

  • ✅ Enable Node.js production mode (NODE_ENV=production)
  • ✅ Use clustering (PM2 or cluster module)
  • ✅ Implement caching (Redis)
  • ✅ Database connection pooling
  • ✅ Add database indexes
  • ✅ Compress responses (gzip)
  • ✅ Use CDN for static assets
  • ✅ Optimize images
  • ✅ Paginate large datasets
  • ✅ Stream large files
  • ✅ Monitor with APM tools

Production Optimizations

// production.js
if (process.env.NODE_ENV === 'production') {
  // Trust proxy (for load balancer)
  app.set('trust proxy', 1);

  // Disable x-powered-by header
  app.disable('x-powered-by');

  // Enable compression
  app.use(compression());

  // Use production logger
  app.use(productionLogger());
}

When to Use

Optimize performance when:

  • Application is slow or unresponsive
  • Need to handle high traffic
  • Database queries are bottleneck
  • Memory usage is high
  • Scaling horizontally
  • Preparing for production

Related Skills

  • Express REST API (optimize API performance)
  • Async Programming (async optimization)
  • Database Integration (query optimization)
  • Docker Deployment (production deployment)

Resources

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

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

Claude Code

28.76%
按下载量换算120

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按下载量换算92

OpenCode

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按下载量换算85

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12.69%
按下载量换算53

github-copilot

9.47%
按下载量换算39

Codex

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按下载量换算17

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来源信息

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