Docker

Community

tashfeenahmed

docker

Docker container management - build, run, compose

Overview

Publisher	tashfeenahmed
Repository	`scallopbot`
Skill name	`docker`
Stars	56
Forks	9
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 tashfeenahmed 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/tashfeenahmed/scallopbot/tree/main/src/skills/bundled/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/tashfeenahmed/scallopbot.git /tmp/scallopbot
mkdir -p .claude/skills
cp -r /tmp/scallopbot/src/skills/bundled/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 Skill

Help the user with Docker container operations.

Capabilities

Containers: Run, stop, list, remove containers
Images: Build, pull, push, list images
Compose: Manage multi-container applications
Networks: Create and manage Docker networks
Volumes: Manage persistent data storage
Logs: View container logs and debugging

Guidelines

Always check running containers with docker ps first
Use meaningful names for containers and images
Clean up unused resources with docker system prune
Use docker-compose for multi-container setups
Check logs when containers fail to start

Common Commands

bash
docker ps                     # List running containers
docker ps -a                  # List all containers
docker images                 # List images
docker run -d image           # Run container detached
docker stop container         # Stop a container
docker rm container           # Remove a container
docker logs container         # View container logs
docker exec -it container sh  # Shell into container
docker build -t name .        # Build image from Dockerfile
docker-compose up -d          # Start compose services
docker-compose down           # Stop compose services
docker system prune -a        # Clean up everything

Frequently asked questions

What does the Docker AI skill do?

Docker container management - build, run, compose

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/tashfeenahmed/scallopbot/tree/main/src/skills/bundled/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 tashfeenahmed 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.

View all

Auto Qa

openclaw

OrganizationPopular

Run OpenClaw-wide autonomous QA and live/stress campaigns across independent subsystem lanes, with verified fixes and a resumable evidence report.

Autoreview

Structured code review when explicitly requested, preferring OpenAI/Codex before Claude.

Claw Score

Audit or refresh OpenClaw maturity scorecard docs from root taxonomy, maturity scores, and QA evidence artifacts without using maintainer discrawl data or committed inventory reports.

Clawsweeper

Use for all ClawSweeper work: OpenClaw issue/PR sweep reports, repair jobs, cloud fix PRs, @clawsweeper maintainer mention commands, trusted ClawSweeper-reviewed autofix/automerge, GitHub Actions…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Docker Skill

Capabilities

Guidelines

Common Commands

Frequently asked questions

Related AI Skills

Set up your own AI workspace now