Skip to content
TrustedSkillsbeta
Back to all skills

Docker Essentials

Listed
aaaaqwq·vlatest·cloud·MIT

Automates Docker container creation, management, and deployment within cloud environments using best practices.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aaaaqwq/agi-super-team --skill docker-essentials -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

aaaaqwq

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: clawhub.ai.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    clawhub.aiundeclared

    What it found

    • skills/docker-essentials/.clawhub/origin.json:3contacts clawhub.ai
      "registry": "https://clawhub.ai",

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aaaaqwq/agi-super-team at 331ecd3c1d.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
331ecd3c1d
Manifest
skills/docker-essentials/SKILL.md
Scanned
3 files, 332 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides foundational knowledge and practical capabilities related to Docker. It allows AI agents to understand containerization concepts, build Docker images from Dockerfiles, and run containers based on those images. The skill equips agents with the ability to manage basic Docker workflows for software development and deployment.

When to use it

  • Setting up a local development environment: An agent can create a consistent development environment using Docker containers.
  • Automating build processes: Automate building applications into deployable images.
  • Running microservices: Easily run and manage multiple microservices within isolated containers.
  • Reproducing environments: Guarantee that your application runs the same way across different machines by packaging it in a container.

Key capabilities

  • Understanding Dockerfile syntax
  • Building Docker images
  • Running Docker containers
  • Basic Docker commands (e.g., docker run, docker build)

Example prompts

  • "Create a Dockerfile for a simple Python application."
  • "Build a Docker image from this directory and tag it as 'my-app:latest'."
  • "Run a container based on the 'nginx' image, mapping port 80 to port 8080."

Tips & gotchas

  • Requires basic understanding of command line interfaces.
  • The skill focuses on essentials; more advanced Docker features (e.g., networking, volumes) are not covered.