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Aif Dockerize

Checked
lee-to·vlatest·cloud

Aif Dockerize automatically packages your AI models into Docker containers for easy deployment and consistent execution across environments.

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 lee-to/ai-factory --skill aif-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

lee-to

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 lee-to/ai-factory at ac92bebd9b.

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

Commit
ac92bebd9b
Manifest
skills/aif-dockerize/SKILL.md
Scanned
19 files, 2,940 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

The aif-dockerize skill allows AI agents to generate Dockerfiles and related files (like docker-compose.yml) from a description of an application or service. It can automate the process of containerizing applications, simplifying deployment and ensuring consistency across environments. The generated Dockerfiles are designed for common use cases and can be customized further.

When to use it

  • Creating reproducible development environments: Quickly generate a Dockerfile to ensure everyone on your team is using the same environment.
  • Deploying microservices: Containerize individual microservices for easier deployment and scaling.
  • Packaging applications for distribution: Create Docker images that can be easily shared and deployed across different platforms.
  • Automating CI/CD pipelines: Integrate Dockerfile generation into your continuous integration and delivery workflows.

Key capabilities

  • Dockerfile Generation
  • docker-compose.yml Generation
  • Supports common application types (implied)
  • Customizable generated files (implied)

Example prompts

  • "Create a Dockerfile for a Python Flask web application."
  • "Generate a docker-compose file to run a Redis server and a Node.js API."
  • “I need a Dockerfile for a Java Spring Boot application with Gradle.”

Tips & gotchas

The quality of the generated Dockerfiles depends on the clarity and detail provided in the prompt. Be as specific as possible about your application's dependencies, runtime environment, and desired configuration.