PM2 Service Daemonizer — Node.js & Python Persistent Service Patterns
by Shogun Labs
Keep Node.js and Python services running forever with PM2 — startup, health checks, troubleshooting.
- Convert Node scripts into background services with auto-restart on crash.
- Configure Python venv apps to start automatically when the server boots.
- Set up unified logging and resource monitoring for multiple microservices.
$10
· or 50 creditsSecure checkout via Stripe
Included in download
- Convert Node scripts into background services with auto-restart on crash.
- Configure Python venv apps to start automatically when the server boots.
- terminal, network automation included
- Ready for Requires: Node.js v14+
Sample input
Deploy my Node.js api-server with 2 instances and my Python slack-bot using its venv. Ensure they both auto-start on server reboot.
Sample output
[PM2] Spawning PM2 daemon with user [deploy] [PM2] App [api-server] launched (2 instances) [PM2] App [slack-bot] launched (python venv) [PM2] Script registered for startup at /etc/init.d/pm2-root [PM2] Actions: pm2 save | pm2 monit | pm2 logs Status: All 3 processes ONLINE. OS Auto-start ENABLED.
PM2 Service Daemonizer — Node.js & Python Persistent Service Patterns
by Shogun Labs
Keep Node.js and Python services running forever with PM2 — startup, health checks, troubleshooting.
$10
· or 50 creditsSecure checkout via Stripe
Included in download
- Convert Node scripts into background services with auto-restart on crash.
- Configure Python venv apps to start automatically when the server boots.
- terminal, network automation included
- Ready for Requires: Node.js v14+
- Instant install
Sample input
Deploy my Node.js api-server with 2 instances and my Python slack-bot using its venv. Ensure they both auto-start on server reboot.
Sample output
[PM2] Spawning PM2 daemon with user [deploy] [PM2] App [api-server] launched (2 instances) [PM2] App [slack-bot] launched (python venv) [PM2] Script registered for startup at /etc/init.d/pm2-root [PM2] Actions: pm2 save | pm2 monit | pm2 logs Status: All 3 processes ONLINE. OS Auto-start ENABLED.
About This Skill
Turn Scripts into Reliable Background Services
Deploying an application is only the first step; keeping it running 24/7 is the real challenge. pm2-service-daemonizer provides a standardized workflow for transforming Node.js, Python, and binary applications into resilient background daemons. It solves the critical problem of "silent failures" where a script crashes or a server reboots, leaving your service offline.
What it does
This skill automates the end-to-end process of service lifecycle management. It encapsulates complex configurations for process persistence, including:
- Daemonization: Running applications in the background with zero-downtime reloads.
- Auto-Recovery: Instant restarts if an app crashes due to memory leaks or unhandled exceptions.
- Boot Persistence: Configuring system-level startup scripts (Mac/Linux) to ensure services come back online after a power cycle.
- Runtime Management: Unified logging, health checks, and resource monitoring for multiple processes.
Why use this skill
Manually running commands like pm2 start is easy, but configuring pm2 startup correctly, managing Python virtual environments, or handling cross-platform daemon persistence is error-prone. This skill acts as a DevOps expert, ensuring your environment variables, work directories, and startup hooks are configured according to production-grade best practices.
Supported Technologies
- Frameworks: Node.js (Express, NestJS), Python (Flask, FastAPI, Slack-Bolt).
- Environments: Virtualenv, Conda, npm/yarn.
- Platforms: Linux (Ubuntu, CentOS, Debian), macOS.
Use Cases
- Convert Node scripts into background services with auto-restart on crash.
- Configure Python venv apps to start automatically when the server boots.
- Set up unified logging and resource monitoring for multiple microservices.
- Implement zero-downtime reloads and memory-limit based auto-reboot policies.
Known Limitations
- Not compatible with Windows (requires Mac/Linux).
- High memory apps may need max-memory-restart config.
- Requires global PM2/Node.js installation.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/pm2-service-daemonizer-node-js-python-persistent-service-patterns -o /tmp/pm2-service-daemonizer-node-js-python-persistent-service-patterns.zip && unzip -o /tmp/pm2-service-daemonizer-node-js-python-persistent-service-patterns.zip -d ~/.claude/skills && rm /tmp/pm2-service-daemonizer-node-js-python-persistent-service-patterns.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
Reviews
No reviews yet - be the first to share your experience.
Only users who have downloaded or purchased this skill can leave a review.
Early access skill
Be the first to review this skill.
Only users who have downloaded or purchased this skill can leave a review.
Security Scanned
Passed automated security review
Permissions
File Scopes
Tags
Requires: Node.js v14+, npm, pm2 (npm install -g pm2). Works on macOS, Linux, Windows.
Creator
Building battle-tested Claude Code skills from real-world automation — bot-detection bypass, sales copy generation, and n8n workflow tooling.
Frequently Asked Questions
Learn More About AI Agent Skills
More Premium Skills
cinematic-sites
Turn any basic business URL into a high-end cinematic landing page with AI-generated 4K assets and GSAP animations.
Multi-Agent Orchestration Master Library
Transform Claude Code into a coordinated multi-agent system. Battle-tested tmux orchestration patterns, YAML task queues, event-driven communication, and parallel worker management for 8+ agents.

Legacy Code Modernization Planner for AI Coding Agents
Creates safe modernization roadmaps for old, messy, undocumented, or fragile codebases, including risk audits, refactor phases, dependency reviews, testing plans, migration steps, and AI coding prompts.
designing-hybrid-context-layers
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.