Google CloudKnown publisherGoogleCloudPlatform/devrel-demos/ai-ml/dev-signal/.agent/skills/agent-containerizer/SKILL.mdagent-containerizer
Skill397 starsChanged 11 days agoApache-2.0View on GitHub
Generates a standard Dockerfile that includes both Python and Node.js environments for AI agents.
In this repository79 other files it gives its agents.
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- codelabs/ai-toolkit-lab-2/hackathon-judge/frontend/.agents/skills/vercel-react-best-practices/AGENTS.mdAGENTS.md
- codelabs/bwg002-devrel-2/AGENTS.mdAGENTS.md
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The file
Files
agent-containerizer
This skill helps you package your AI agent into a production-ready container. It ensures that both Python (for ADK) and Node.js (for toolsets like reddit-mcp) are correctly installed and available.
Usage
Ask Antigravity to:
- "Generate a Dockerfile for my agent"
- "Containerize my project for Cloud Run"
- "Make sure reddit-mcp works in my Docker image"
Container Pattern
The generated Dockerfile includes:
- Python 3.12-slim Base: A lightweight foundation for the agent logic.
- Node.js Installation: Essential for running MCP servers distributed via
npmornpx. - Global Tool Installation: Pre-installs standard tools like
reddit-mcpto speed up startup. - uv Integration: Uses the
uvpackage manager for fast and reproducible Python dependency installation. - FastAPI Setup: Configures the container to run the
uvicornserver on the correct port (8080).
Dockerfile Template
Refer to the included resources/Dockerfile for the standard implementation.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.