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Docker (Essentials + Advanced)

Build, secure, and deploy Docker containers with image optimization, networking, and production-ready patterns.

Why use this skill?

Master Docker containerization with OpenClaw. Get expert assistance on building, securing, and deploying production-ready Docker images and complex Compose orchestrations.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/ivangdavila/docker
Or

What This Skill Does

The Docker (Essentials + Advanced) skill empowers the OpenClaw agent to become an expert containerization engineer. It provides comprehensive support for building, securing, and deploying Docker containers while adhering to production-ready best practices. This skill enables the agent to manage the entire lifecycle of containers, including Dockerfile optimization, multi-stage builds, complex networking, persistent volume management, and robust Compose orchestration. By centralizing knowledge within a structured memory module, the agent can consistently apply hardening standards, such as non-root user enforcement, resource limit configuration, and essential log rotation strategies.

Installation

To install this skill, run the following command in your terminal: clawhub install openclaw/skills/skills/ivangdavila/docker Once installed, the agent will initialize a local memory workspace at ~/docker/ to track your specific preferences and project configurations.

Use Cases

  • Microservices Deployment: Architecting scalable services using Docker Compose with inter-service communication and health checks.
  • Security Hardening: Auditing existing Dockerfiles to remove root privileges, optimize layers for minimal attack surfaces, and implement resource constraints to prevent OOM errors.
  • Environment Consistency: Standardizing development and production environments through pinned image versions and immutable build patterns.
  • CI/CD Integration: Writing optimized Dockerfiles that leverage cache-friendly layers, reducing build times for automated deployment pipelines.
  • Infrastructure Troubleshooting: Debugging container networking, resolving permission issues with bind mounts, and investigating exit codes in distroless environments.

Example Prompts

  1. "Analyze my current Dockerfile for the Python backend and rewrite it to use a multi-stage build, non-root user, and correct layer ordering for caching."
  2. "I am seeing a container crash with exit code 137. Help me diagnose this OOM issue and set up appropriate resource limits in my compose file."
  3. "Configure a Docker Compose environment for a PostgreSQL database and a Node.js app that ensures the database is fully healthy before the application attempts to connect."

Tips & Limitations

Always consult the ~/docker/memory.md file to see if project-specific constraints exist. Note that while the agent can automate build and deployment tasks, always verify security configurations manually before pushing to a public registry. Be cautious with docker system prune as it can lead to data loss if named volumes are not managed correctly. Remember that depends_on in Compose waits for start, not readiness; always define a health check to avoid race conditions.

Metadata

Stars2102
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Updated2026-03-06
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-ivangdavila-docker": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#docker#containers#devops#infrastructure#virtualization
Safety Score: 3/5

Flags: file-write, file-read, code-execution