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Docker Containerization Expert

Checked
webdev70·vlatest·cloud

Automates Dockerfile creation, builds optimized container images, and streamlines deployment workflows for cloud applications.

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 webdev70/hosting-google --skill docker-containerization-expert -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

webdev70

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 webdev70/hosting-google at fe3894780f.

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

Scanned
1 file, 941 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 you to leverage Docker expertise for containerizing applications and managing related infrastructure. It can generate Dockerfile configurations, troubleshoot existing containers, and provide guidance on best practices for deploying applications in a containerized environment. The agent understands common Docker commands and concepts like images, volumes, and networking.

When to use it

  • You need help creating a Dockerfile for your application.
  • You're encountering issues with an existing Docker container (e.g., startup errors, resource constraints).
  • You want advice on optimizing your Docker setup for performance or security.
  • You are looking for explanations of Docker concepts and how to apply them.

Key capabilities

  • Dockerfile generation
  • Container troubleshooting
  • Docker command explanation
  • Best practices guidance
  • Understanding of container networking and volumes

Example prompts

  • "Create a Dockerfile for a Python Flask application with requirements from requirements.txt."
  • "My Docker container is failing to start; can you help me diagnose the problem?"
  • "Explain how Docker volumes work and when I should use them."

Tips & gotchas

The agent assumes basic familiarity with command-line interfaces. Providing context about your application's environment (operating system, dependencies) will improve the quality of its responses.