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Docker Containerization

Checked
aj-geddes·vlatest·cloud·MIT

Automates Docker container creation, deployment, and management across cloud environments using pre-defined configurations.

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 aj-geddes/useful-ai-prompts --skill docker-containerization -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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/docker-containerization/SKILL.md
Scanned
9 files, 368 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 enables AI agents to automate the creation, deployment, and management of Docker containers. It focuses on building production-ready containers that adhere to best practices for security, performance, and maintainability. The skill supports creating Dockerfiles, optimizing existing container images, and setting up development environments.

When to use it

  • Containerizing applications for deployment.
  • Creating Dockerfiles for new services.
  • Optimizing existing container images for better performance.
  • Setting up local development environments using containers.
  • Building CI/CD pipelines that utilize Docker containers.

Key capabilities

  • Generating multi-stage Docker builds.
  • Implementing security best practices, including running as a non-root user.
  • Creating .dockerignore files to exclude unnecessary files from container images.
  • Providing guidance on optimization techniques for container image size and build speed.
  • Supporting various programming languages like Python (Django/Flask), Java (Spring Boot), and Go.

Example prompts

  • "Create a Dockerfile for a Node.js application using multi-stage builds."
  • "Generate a .dockerignore file for a Python Django project."
  • "How can I optimize this Docker image to reduce its size?"

Tips & gotchas

  • The skill emphasizes following best practices, so be sure to review the provided reference guides.
  • Avoid using the latest tag in production environments as it introduces unpredictability and potential security risks.
  • Ensure you are not including secrets directly within your Docker images.