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Docker Containerization

Checked
omer-metin·vlatest·cloud·Apache-2.0

Automates Docker container creation & deployment for scalable cloud applications 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 omer-metin/skills-for-antigravity --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

omer-metin

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 omer-metin/skills-for-antigravity at e8dcf4e873.

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

Commit
e8dcf4e873
Manifest
skills/docker-containerization/SKILL.md
Scanned
4 files, 1,315 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 allows AI agents to create and manage Docker containers. It can package applications with their dependencies into standardized units for consistent execution across different environments, simplifying deployment and ensuring reproducibility. The agent can build container images from Dockerfiles and run them as isolated processes.

When to use it

  • Reproducible deployments: Ensure your application runs the same way in development, testing, and production by packaging it within a container.
  • Microservices architecture: Easily deploy and manage individual microservices using containers.
  • Consistent environments: Provide developers with pre-configured environments that eliminate "works on my machine" issues.
  • Simplified application updates: Update applications without affecting the underlying infrastructure by replacing existing containers with new ones.

Key capabilities

  • Building Docker images from Dockerfiles
  • Running and managing Docker containers
  • Packaging applications and dependencies
  • Creating isolated environments for applications

Example prompts

  • "Create a Docker image for my Python application using this Dockerfile."
  • "Run the 'my-app' container with port 80 exposed."
  • "Build an image from the provided directory, tagging it as 'latest'."

Tips & gotchas

  • Requires familiarity with Docker concepts and Dockerfiles.
  • The agent’s effectiveness depends on the quality of the provided Dockerfile; poorly written files can lead to errors or inefficient containers.