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Docker Expert

Checked
jarmen423·vlatest·cloud

Automates Docker container builds, deployments, and management within cloud environments using best practices.

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 jarmen423/skills --skill docker-expert --full-depth -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

jarmen423

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 jarmen423/skills at d016f7d2c7.

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

Scanned
1 file, 385 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

The jarmen423-docker-expert skill provides advanced Docker containerization expertise to AI agents. It can generate Dockerfiles, troubleshoot existing Docker configurations, and optimize container performance. This allows the agent to automate deployment processes and manage complex application stacks efficiently.

When to use it

  • Automated deployments: Use this skill when you need to automatically build and deploy applications using Docker containers.
  • Troubleshooting container issues: If your existing Docker setup is failing or performing poorly, leverage the skill for diagnostics and remediation.
  • Container optimization: Improve resource utilization and application performance by having the agent optimize Dockerfile configurations.
  • Creating reproducible environments: Generate Dockerfiles to ensure consistent development and production environments.

Key capabilities

  • Dockerfile generation
  • Docker configuration troubleshooting
  • Container performance optimization

Example prompts

  • "Create a Dockerfile for a Python application with Flask."
  • "My Docker container is crashing; can you analyze the logs and suggest fixes?"
  • "Optimize this Dockerfile to reduce image size and build time."

Tips & gotchas

The skill requires a basic understanding of Docker concepts. Providing clear context about the application or environment will improve the quality of the generated results.