pm2

Manage Node.js applications with PM2 process manager. Use for deploying, monitoring, and auto-restarting Node apps in production. Covers starting apps, viewing logs, setting up auto-start on boot, and managing multiple processes.

3,891 stars

Best use case

pm2 is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Manage Node.js applications with PM2 process manager. Use for deploying, monitoring, and auto-restarting Node apps in production. Covers starting apps, viewing logs, setting up auto-start on boot, and managing multiple processes.

Teams using pm2 should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/pm2/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/asteinberger/pm2/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/pm2/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How pm2 Compares

Feature / Agentpm2Standard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Manage Node.js applications with PM2 process manager. Use for deploying, monitoring, and auto-restarting Node apps in production. Covers starting apps, viewing logs, setting up auto-start on boot, and managing multiple processes.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# PM2 Process Manager

Production process manager for Node.js with built-in load balancer.

## Install

```bash
npm install -g pm2
```

## Quick Start

```bash
# Start an app
pm2 start app.js
pm2 start npm --name "my-app" -- start
pm2 start "npm run start" --name my-app

# With specific port/env
pm2 start npm --name "my-app" -- start -- --port 3000
PORT=3000 pm2 start npm --name "my-app" -- start
```

## Common Commands

```bash
# List processes
pm2 list
pm2 ls

# Logs
pm2 logs              # All logs
pm2 logs my-app       # Specific app
pm2 logs --lines 100  # Last 100 lines

# Control
pm2 restart my-app
pm2 stop my-app
pm2 delete my-app
pm2 reload my-app     # Zero-downtime reload

# Info
pm2 show my-app
pm2 monit             # Real-time monitor
```

## Auto-Start on Boot

```bash
# Save current process list
pm2 save

# Generate startup script (run the output command with sudo)
pm2 startup

# Example output - run this:
# sudo env PATH=$PATH:/opt/homebrew/bin pm2 startup launchd -u username --hp /Users/username
```

## Next.js / Production Builds

```bash
# Build first
npm run build

# Start production server
pm2 start npm --name "my-app" -- start

# Or with ecosystem file
pm2 start ecosystem.config.js
```

## Ecosystem File (ecosystem.config.js)

```javascript
module.exports = {
  apps: [{
    name: 'my-app',
    script: 'npm',
    args: 'start',
    cwd: '/path/to/app',
    env: {
      NODE_ENV: 'production',
      PORT: 3000
    }
  }]
}
```

## Useful Flags

| Flag | Description |
|------|-------------|
| `--name` | Process name |
| `--watch` | Restart on file changes |
| `-i max` | Cluster mode (all CPUs) |
| `--max-memory-restart 200M` | Auto-restart on memory limit |
| `--cron "0 * * * *"` | Scheduled restart |

## Cleanup

```bash
pm2 delete all        # Remove all processes
pm2 kill              # Kill PM2 daemon
pm2 unstartup         # Remove startup script
```

Related Skills

---

3891
from openclaw/skills

name: article-factory-wechat

Content & Documentation

humanizer

3891
from openclaw/skills

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Content & Documentation

find-skills

3891
from openclaw/skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

General Utilities

tavily-search

3891
from openclaw/skills

Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.

Data & Research

baidu-search

3891
from openclaw/skills

Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.

Data & Research

agent-autonomy-kit

3891
from openclaw/skills

Stop waiting for prompts. Keep working.

Workflow & Productivity

Meeting Prep

3891
from openclaw/skills

Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.

Workflow & Productivity

self-improvement

3891
from openclaw/skills

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Agent Intelligence & Learning

botlearn-healthcheck

3891
from openclaw/skills

botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.

DevOps & Infrastructure

linkedin-cli

3891
from openclaw/skills

A bird-like LinkedIn CLI for searching profiles, checking messages, and summarizing your feed using session cookies.

Content & Documentation

notebooklm

3891
from openclaw/skills

Google NotebookLM 非官方 Python API 的 OpenClaw Skill。支持内容生成(播客、视频、幻灯片、测验、思维导图等)、文档管理和研究自动化。当用户需要使用 NotebookLM 生成音频概述、视频、学习材料或管理知识库时触发。

Data & Research

小红书长图文发布 Skill

3891
from openclaw/skills

## 概述

Content & Documentation