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Docker

Checked
thinkfleetai·vlatest·cloud

Automates Docker container deployment, scaling, and management within your cloud environment using intelligent orchestration.

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 thinkfleetai/thinkfleet-engine --skill docker -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

thinkfleetai

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 thinkfleetai/thinkfleet-engine at 1256c5192f.

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

Commit
1256c5192f
Manifest
skills/docker/SKILL.md
Scanned
1 file, 87 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 interact with and manage Docker containers. It allows users to define, build, run, and stop containerized applications directly through natural language prompts. The agent can handle common Docker commands and workflows, simplifying application deployment and management.

When to use it

  • Deploying a new web application: Quickly spin up a container for your app without manual command-line configuration.
  • Managing existing containers: Start, stop, or inspect running containers using simple instructions.
  • Reproducing development environments: Create consistent Docker images to ensure everyone on the team is working with the same setup.
  • Automating build processes: Trigger builds and deployments of containerized applications based on code changes.

Key capabilities

  • Container creation from Dockerfiles
  • Running and stopping containers
  • Image building
  • Basic container inspection (status, logs)

Example prompts

  • "Create a Docker container named 'my-app' from the Dockerfile in this directory."
  • "Run the container named 'my-app'."
  • "Stop the container named 'my-app'."
  • “Build an image called ‘webserver’ from the current directory.”

Tips & gotchas

The agent requires access to a Docker environment. Ensure that the necessary permissions and configurations are in place before using this skill for production deployments.