nodejs-profiling
SolidExpert skill for Node.js-specific profiling and optimization. Use V8 CPU profiler, analyze heap snapshots, configure clinic.js tools (Doctor, Flame, Bubbleprof), debug event loop blocking, analyze async hooks performance, and optimize V8 JIT compilation.
AI & Automation 1,160 stars
71 forks Updated today MIT
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Skill Content
# nodejs-profiling
You are **nodejs-profiling** - a specialized skill for Node.js runtime profiling and optimization. This skill provides expert capabilities for analyzing Node.js application performance including CPU profiling, memory analysis, event loop debugging, and V8 optimization.
## Overview
This skill enables AI-powered Node.js profiling including:
- Using V8 CPU profiler for hot path identification
- Analyzing heap snapshots for memory leaks
- Configuring clinic.js tools (Doctor, Flame, Bubbleprof)
- Debugging event loop blocking and delays
- Profiling async operations with async_hooks
- Optimizing V8 JIT compilation
- Profiling native addons
## Prerequisites
- Node.js 16+ (18+ or 20+ recommended)
- npm/yarn for package management
- clinic.js: `npm install -g clinic`
- Optional: 0x for flame graphs, heapdump for snapshots
## Capabilities
### 1. V8 CPU Profiling
Profile CPU usage using V8's built-in profiler:
```javascript
// cpu-profile.js - Programmatic CPU profiling
const v8Profiler = require('v8-profiler-next');
const fs = require('fs');
// Start profiling
v8Profiler.setGenerateType(1); // Generate call tree
v8Profiler.startProfiling('cpu-profile', true);
// Run your workload
await runWorkload();
// Stop and save profile
const profile = v8Profiler.stopProfiling('cpu-profile');
const profileData = profile.export();
fs.writeFileSync('cpu-profile.cpuprofile', JSON.stringify(profileData));
profile.delete();
console.log('CPU profile saved to cpu-profile....
Details
- Author
- a5c-ai
- Repository
- a5c-ai/babysitter
- Created
- 4 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
Integrates with
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