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Docker Expert

Checked
tavi-agency·vlatest·cloud·MIT

Automates Docker container deployment, management, and optimization 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 tavi-agency/antigravity-awesome-skills --skill docker-expert -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

tavi-agency

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 tavi-agency/antigravity-awesome-skills at c9a76a2d94.

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

Commit
c9a76a2d94
Manifest
skills/docker-expert/SKILL.md
Scanned
2 files, 781 lines
Copies in repo
2 — all of them scanned
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 allows AI agents to create, manage, and troubleshoot Docker containers. It can generate Dockerfiles based on requirements, build images from those files, and run containers with specified configurations. The agent can also diagnose issues within existing containerized environments.

When to use it

  • Automating the deployment of applications into Docker containers for development or production.
  • Troubleshooting problems with running containers, such as port conflicts or resource limitations.
  • Creating custom Docker images tailored to specific application needs.
  • Generating Dockerfiles from existing application codebases.

Key capabilities

  • Dockerfile generation
  • Image building
  • Container management (run, stop, remove)
  • Troubleshooting container issues

Example prompts

  • "Create a Dockerfile for a Python Flask application that listens on port 5000."
  • "Build a Docker image from the Dockerfile in this directory."
  • "Run a Docker container using the 'my-app' image, mapping port 8080 on the host to port 80 inside the container."

Tips & gotchas

The agent requires access to relevant files (e.g., application code, existing Dockerfiles) to function effectively. Ensure the AI agent has appropriate permissions to interact with the Docker environment.