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Docker Containerization

Checked
auldsyababua·vlatest·cloud

Automates Docker container creation & deployment on cloud platforms using optimized configurations for scalability.

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 auldsyababua/instructor-workflow --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

auldsyababua

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 auldsyababua/instructor-workflow at 92702083b8.

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

Commit
92702083b8
Manifest
skills/docker-containerization/SKILL.md
Scanned
11 files, 2,048 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 create, manage, and interact with Docker containers. It facilitates packaging applications and their dependencies into standardized units for consistent deployment across different environments. The agent can build container images from Dockerfiles, run containers based on those images, and perform common container management tasks.

When to use it

  • Reproducible Development Environments: Quickly set up identical development environments for a team by creating Docker containers with pre-configured tools and dependencies.
  • Consistent Application Deployment: Package applications into containers to ensure they run the same way regardless of the underlying infrastructure (development, testing, production).
  • Microservices Architecture: Deploy individual microservices as separate containers, enabling independent scaling and updates.
  • Simplified Testing: Create isolated test environments using Docker containers to avoid conflicts with existing system configurations.

Key capabilities

  • Building container images from Dockerfiles
  • Running and managing Docker containers
  • Container image management (pulling, pushing)
  • Defining network configurations for containers

Example prompts

  • "Create a Docker container from this Dockerfile."
  • "Run the 'my-app' container with port 80 exposed."
  • "Pull the latest version of the 'nginx' image from Docker Hub."

Tips & gotchas

  • Requires familiarity with Docker concepts and terminology.
  • The agent’s effectiveness depends on the accuracy and completeness of provided Dockerfiles.