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Docker Expert

Checked
k1lgor·vlatest·cloud·MIT

Automates Docker container deployment, management, and troubleshooting within cloud environments using expert k1lgor knowledge.

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 k1lgor/virtual-company --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

k1lgor

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 k1lgor/virtual-company at 394eeac958.

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

Commit
394eeac958
Manifest
skills/14-docker-expert/SKILL.md
Scanned
1 file, 326 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 expertise in Docker, enabling AI agents to create, manage, and troubleshoot containerized applications. It can generate Dockerfiles, compose multi-container deployments with Docker Compose, and diagnose issues within a Docker environment. The agent is capable of understanding complex Docker configurations and providing detailed explanations.

When to use it

  • Automating application deployment: Generate docker-compose.yml files for deploying applications across multiple containers.
  • Troubleshooting container errors: Analyze error logs from running containers and suggest solutions.
  • Creating custom Docker images: Develop optimized Dockerfiles for specific software stacks or environments.
  • Understanding existing Docker configurations: Explain the purpose and functionality of complex Dockerfiles and Compose files.

Key capabilities

  • Dockerfile generation
  • Docker Compose file creation
  • Container troubleshooting & diagnostics
  • Explanation of Docker concepts and configurations

Example prompts

  • "Create a Dockerfile for a Python Flask application with requirements from requirements.txt."
  • "Generate a docker-compose.yml to run a PostgreSQL database and a Node.js web server."
  • "Explain what this Dockerfile does, line by line: [paste Dockerfile content here]"

Tips & gotchas

The agent assumes basic familiarity with Docker concepts like images, containers, volumes, and networks. Providing clear context about the desired application or environment will improve the quality of generated configurations.