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Docker Containerization

Checked
sraloff·vlatest·cloud

Automates Docker container creation and deployment on cloud platforms, streamlining application packaging and scaling.

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 sraloff/gravityboots --skill docker-containerization -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

sraloff

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 sraloff/gravityboots at 9cdb33f5da.

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

Commit
9cdb33f5da
Manifest
.agent/skills/docker-containerization/SKILL.md
Scanned
1 file, 22 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 enables AI agents to create, manage, and interact with Docker containers. It allows for packaging applications and their dependencies into standardized units for consistent deployment across different environments. The agent can build images from Dockerfiles, run containers based on those images, and perform basic container management tasks.

When to use it

  • Reproducible Development Environments: Quickly set up development environments that mirror production, ensuring consistency among team members.
  • Application Deployment: Automate the deployment of applications by packaging them into Docker containers and running them in a controlled environment.
  • Microservices Architecture: Manage and orchestrate microservices by containerizing each service individually.
  • Testing & Staging: Create isolated testing and staging environments using Docker containers to ensure application stability before production release.

Key capabilities

  • Building Docker images from Dockerfiles
  • Running Docker containers
  • Basic container management (start, stop, restart)

Example prompts

  • "Create a Docker image named 'my-app' from the Dockerfile in this directory."
  • "Run a Docker container based on the 'nginx' image and map port 80 to port 8080 on my host machine."
  • “List all running docker containers.”

Tips & gotchas

  • Requires familiarity with Docker concepts like images, containers, and Dockerfiles.
  • The agent’s capabilities are limited to basic container management; more advanced orchestration features may not be supported.