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Dockerization

Checked
stakpak·vlatest·cloud·MIT

This skill automates the process of containerizing applications as Docker images, streamlining deployment and ensuring consistent environments across systems.

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 stakpak/community-paks --skill dockerization -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

stakpak

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 stakpak/community-paks at d9bbde9885.

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

Commit
d9bbde9885
Manifest
dockerization/SKILL.md
Scanned
1 file, 170 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 package applications and their dependencies into standardized containers using Docker. It allows for consistent deployment across different environments, ensuring that an application runs the same way regardless of the underlying infrastructure. The skill facilitates reproducible builds and simplifies complex software deployments.

When to use it

  • Deploying a Python web application to a staging server.
  • Creating a development environment with specific dependencies for a team.
  • Packaging a machine learning model along with its runtime requirements for easy sharing.
  • Ensuring consistent execution of a data processing pipeline across multiple machines.

Key capabilities

  • Dockerfile generation
  • Image building and tagging
  • Container creation from images
  • Environment variable management within containers

Example prompts

  • "Create a Dockerfile for a Node.js application that listens on port 3000."
  • "Build a Docker image named 'my-app:latest' from the current directory’s Dockerfile."
  • “Run a container based on the ‘ubuntu:20.04’ image and expose port 80.”

Tips & gotchas

The skill assumes basic familiarity with Docker concepts like images, containers, and Dockerfiles. Complex application architectures may require more detailed Dockerfile instructions to ensure proper functionality within the container.