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Dockerize

Checked
haloydev·vlatest·cloud·MIT

Dockerize converts applications into portable containers, simplifying deployment across different environments and ensuring consistent execution.

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 haloydev/agent-skills --skill dockerize -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

haloydev

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 haloydev/agent-skills at defc8ffb69.

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

Commit
defc8ffb69
Manifest
dockerize/SKILL.md
Scanned
3 files, 568 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 an AI agent to create Dockerfiles and containerize applications. It can generate instructions for building images, defining volumes, and setting up networking within a Docker environment. The agent is capable of automating the process of packaging software into standardized units for deployment.

When to use it

  • You need to package an existing application for easier deployment and scaling.
  • You want to create reproducible development environments using containers.
  • You're deploying a microservice architecture and require containerization for each service.
  • You are setting up continuous integration/continuous delivery (CI/CD) pipelines that involve Docker images.

Key capabilities

  • Dockerfile generation
  • Container image building
  • Volume configuration
  • Networking setup within containers

Example prompts

  • "Create a Dockerfile for my Python Flask application."
  • "How do I containerize a Node.js Express app with PostgreSQL?"
  • “Generate a docker compose file to run a redis server”

Tips & gotchas

The agent requires sufficient knowledge of the target application's dependencies and configuration to generate accurate Dockerfiles. Ensure you provide clear instructions regarding the application’s environment and required resources for optimal results.