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Docker Expert

Checked
davila7·vlatest·cloud·MIT

Automates Docker container builds, deployments, and management within cloud environments using best practices.

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 davila7/claude-code-templates --skill docker-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

davila7

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 davila7/claude-code-templates at 79182c51fb.

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

Scanned
1 file, 385 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 provides expertise in Docker, enabling users to create, manage, and optimize containerized applications. It supports tasks such as writing Dockerfiles, configuring Docker Compose files, troubleshooting container issues, and deploying containers across different environments.

When to use it

  • You need help authoring a Dockerfile for a new application.
  • You're encountering errors in your Docker setup and require debugging assistance.
  • You want to define multi-container applications using Docker Compose.
  • You are preparing to deploy a containerized app to production and need best practices.

Key capabilities

  • Writing and optimizing Dockerfiles
  • Configuring Docker Compose files for multi-container apps
  • Troubleshooting common Docker errors
  • Deploying containers on platforms like Docker Hub or Kubernetes

Example prompts

  • "Help me write a Dockerfile for a Python Flask app."
  • "I'm getting an error when running my container—can you help debug it?"
  • "Create a Docker Compose file for a web app with a PostgreSQL database."

Tips & gotchas

  • Ensure your environment has Docker installed and running before using this skill.
  • While the skill can generate Dockerfiles, always review them to match your specific application needs.