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createos

Deploy ANYTHING to production on CreateOS cloud platform. Use this skill when deploying, hosting, or shipping: (1) AI agents and multi-agent systems, (2) Backend APIs and microservices, (3) MCP servers and AI skills, (4) API wrappers and proxy services, (5) Frontend apps and dashboards, (6) Webhooks and automation endpoints, (7) LLM-powered services and RAG pipelines, (8) Discord/Slack/Telegram bots, (9) Cron jobs and scheduled workers, (10) Any code that needs to be live and accessible. Support

2stars3forksUpdated 8/1/2026

Security Assessment

Safe(91/100)
Security Score91/100

About createos

createos is a deployment skill for shipping code to production on the CreateOS cloud platform (nodeops.network). It solves the last-mile problem of taking working code, whether an AI agent, backend API, MCP server, frontend app, bot, webhook, cron worker, or Docker container, and making it live and accessible with a public URL. It supports Node.js, Python, Go, Rust, Bun, static sites, and Docker containers, across three deployment methods: direct file upload, GitHub auto-deploy on push, and Docker image deployment.

The skill drives CreateOS through MCP tools (CreateProject, UploadDeploymentFiles, CreateDeployment, ListProjects, and related calls) or the REST API. When connected via MCP the server handles authentication automatically with no API key needed; for direct REST use it documents supplying an X-Api-Key header, with keys minted via a CreateAPIKey tool. It includes ready-to-use deployment patterns for common stacks (LangChain/CrewAI/AutoGen agents, FastAPI and Express APIs, Go Gin, Next.js, React SPA, Nuxt, Discord/Telegram/Slack bots, MCP servers), each showing runtime, port, install/build/run commands, and environment variables. Secrets such as OPENAI_API_KEY, DATABASE_URL, and bot tokens are passed as runtime env-var references rather than hardcoded, which is standard practice.

It targets developers and AI-agent builders who want to go from local code to a running production endpoint quickly. Use cases include hosting an agent or bot, exposing an API or MCP server, publishing a dashboard, or wiring up webhooks and scheduled workers. It is deployment automation over an official platform API, with credentials handled through the platform's own tooling and environment variables.

FAQ

What can I deploy with CreateOS?

AI agents and multi-agent systems, backend APIs and microservices, MCP servers, frontends and dashboards, Discord/Slack/Telegram bots, webhooks, cron workers, and any code needing a live URL, across Node.js, Python, Go, Rust, Bun, static sites, and Docker.

What are the deployment methods?

Three: direct file upload (fastest), GitHub auto-deploy that redeploys on every push, and Docker image deployment.

Do I need an API key?

When connected via MCP (e.g. Claude and compatible agents), no API key is needed because the MCP server authenticates automatically. For direct REST calls you supply an X-Api-Key header, with keys created via the CreateAPIKey tool.

How are secrets like API keys and database URLs handled?

As runtime environment-variable references in the project settings (for example runEnvs and buildVars), not hardcoded into source, following standard deployment practice.

What runtimes and frameworks are covered by ready-made patterns?

Patterns exist for LangChain/CrewAI/AutoGen agents, FastAPI, Express, Go Gin, Next.js, React SPA (Vite), Nuxt, MCP servers, and Discord/Telegram/Slack bots, each with runtime, port, and install/build/run commands.

All Files

7 files
scripts/createos.py21.4 KB
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scripts/quick-deploy.sh9.2 KB
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config/config.json6.5 KB
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scripts/deploy.sh14.7 KB
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references/deployment-patterns.md12.0 KB
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references/api-reference.md13.0 KB
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SKILL.md34.5 KB
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Install createos

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill