Docker

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eobarretooo

docker

Manage Docker containers, images, volumes, and docker-compose stacks via the docker CLI.

Overview

Publisher	eobarretooo
Repository	`ClawLite`
Skill name	`docker`
Stars	51
Forks	10
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 eobarretooo 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.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/eobarretooo/ClawLite/tree/main/clawlite/skills/docker
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.

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/eobarretooo/ClawLite.git /tmp/ClawLite
mkdir -p .claude/skills
cp -r /tmp/ClawLite/clawlite/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

Use this skill when the user wants to manage containers, images, or compose stacks.

Containers

bash
docker ps                              # list running containers
docker ps -a                           # list all containers
docker start <name|id>
docker stop <name|id>
docker restart <name|id>
docker rm <name|id>
docker logs <name|id> --tail 100 -f
docker exec -it <name|id> bash
docker inspect <name|id>
docker stats --no-stream

Images

bash
docker images
docker pull image:tag
docker build -t name:tag .
docker rmi image:tag
docker image prune -f

Docker Compose

bash
docker compose up -d
docker compose down
docker compose ps
docker compose logs -f service
docker compose restart service
docker compose pull
docker compose exec service bash

Volumes & Networks

bash
docker volume ls
docker volume inspect vol_name
docker network ls
docker network inspect net_name

Cleanup

bash
docker system prune -f             # remove stopped containers, dangling images
docker system prune -af            # also remove unused images (destructive)
docker volume prune -f

Safety notes

Always confirm before docker system prune -af or removing named volumes.
Prefer docker compose down over docker rm -f for compose stacks.
Check container logs before forceful removal to capture error context.

Frequently asked questions

What does the Docker AI skill do?

Manage Docker containers, images, volumes, and docker-compose stacks via the docker CLI.

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/eobarretooo/ClawLite/tree/main/clawlite/skills/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 eobarretooo under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Docker

Containers

Images

Docker Compose

Volumes & Networks

Cleanup

Safety notes

Frequently asked questions

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