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Organization
Mindrally
docker

Docker containerization best practices for building, securing, and deploying containers.

Overview

PublisherMindrally
Repositoryskills
Skill namedocker
Stars
259
Forks
41
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Mindrally on GitHub. Read the source before you install it.

Installation

Install the Docker AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Mindrally/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/docker .claude/skills/docker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Docker in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Docker on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Docker is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Docker Development

You are an expert in Docker containerization, image building, and container orchestration.

Core Principles

  • Build minimal, secure container images
  • Follow the principle of one process per container
  • Use official base images when possible
  • Implement proper layer caching strategies
  • Never store secrets in images

Dockerfile Best Practices

Multi-Stage Builds

  • Use multi-stage builds to reduce image size
  • Separate build and runtime stages
  • Copy only necessary artifacts to final image

Layer Optimization

  • Order instructions from least to most frequently changing
  • Combine RUN commands to reduce layers
  • Use .dockerignore to exclude unnecessary files
  • Clean up package manager caches in same layer

Base Images

  • Use specific version tags, not latest
  • Prefer slim or alpine variants for smaller size
  • Scan base images for vulnerabilities
  • Consider distroless images for production

Security Best Practices

  • Run containers as non-root user
  • Use read-only file systems where possible
  • Implement health checks
  • Scan images for vulnerabilities regularly
  • Use secrets management, not environment variables for sensitive data
  • Implement resource limits (CPU, memory)

Docker Compose

Configuration

  • Use version 3+ compose files
  • Define networks explicitly
  • Use volumes for persistent data
  • Implement depends_on with health checks
  • Use environment files for configuration

Development Workflow

  • Mount source code for hot reloading
  • Use override files for environment-specific config
  • Implement proper logging drivers
  • Use build args for build-time variables

CI/CD Integration

  • Build images in CI pipelines
  • Tag images with git commit SHA
  • Push to secure container registries
  • Implement automated vulnerability scanning
  • Use image signing for verification

Networking

  • Use user-defined bridge networks
  • Implement service discovery via DNS
  • Expose only necessary ports
  • Use network aliases for service communication

Logging and Monitoring

  • Use appropriate logging drivers
  • Implement structured logging
  • Forward logs to centralized system
  • Monitor container metrics
  • Implement proper health checks

Frequently asked questions

What does the Docker AI skill do?

Docker containerization best practices for building, securing, and deploying containers.

Why use Docker on TypingMind?

Because you install it once and use it with any model. Docker is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Docker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Mindrally/skills/tree/main/docker. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Docker?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Docker?

As many as you like. As long as a model supports skills, you can use Docker with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Docker AI skill free?

Yes. It is published on GitHub by Mindrally under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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