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Dockerize Project

Checked
gemini960114·vlatest·cloud

This skill automatically packages your project into a Docker container for consistent deployment across environments – simplifying development and operations.

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 gemini960114/skills --skill dockerize-project -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

gemini960114

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 gemini960114/skills at d78152f385.

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

Commit
d78152f385
Manifest
gemini/antigravity/skills/dockerize-project/SKILL.md
Scanned
1 file, 58 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 package existing projects into Docker containers. It handles creating a Dockerfile, managing dependencies, and building an image ready for deployment. This simplifies project distribution and ensures consistent environments across different machines.

When to use it

  • You have a Python application with specific library requirements that need to be easily deployed.
  • You want to create a reproducible development environment for a Node.js web server.
  • You're sharing a Go program with colleagues and want to ensure they can run it without dependency issues.
  • You are deploying a machine learning model and require consistent dependencies.

Key capabilities

  • Dockerfile generation
  • Dependency management (e.g., requirements.txt for Python)
  • Image building

Example prompts

  • "Dockerize my Python project located in /path/to/my/project."
  • "Create a Docker image for this Node.js application, using the package.json file as a dependency source."
  • “Build a docker container from this Go program.”

Tips & gotchas

The skill requires access to your project's codebase and configuration files (like requirements.txt or package.json). Ensure these are accessible for proper Dockerfile generation and image building.