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Docker Expert

Listed
thinkfleetai·vlatest·cloud

Automates Docker container deployment, management, and optimization within your cloud environment using expert best practices.

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-expert -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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No credential access: failed

    Touches credential material in 1 place.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

    What it found

    • skills/docker-expert/SKILL.md:79npm auth token
      docker build --secret id=npmrc,src=$HOME/.npmrc -t myapp .

  • 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 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-expert/SKILL.md
Scanned
1 file, 141 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 thinkfleetai-docker-expert skill enables AI agents to create, manage, and troubleshoot Docker containers. It can generate Dockerfiles, run containerized applications, and diagnose issues within a Docker environment. This allows for streamlined application deployment and efficient resource utilization.

When to use it

  • Automated deployments: Automate the process of building and deploying applications in Docker containers.
  • Development environments: Quickly set up consistent development environments using Docker.
  • Troubleshooting container issues: Diagnose and resolve problems with running Docker containers, such as port conflicts or resource exhaustion.
  • Creating reproducible builds: Generate Dockerfiles to ensure consistent application builds across different systems.

Key capabilities

  • Dockerfile generation
  • Container management (run, stop, remove)
  • Application deployment within containers
  • Docker environment troubleshooting

Example prompts

  • "Create a Dockerfile for a Python Flask application."
  • "Run a container from this Dockerfile and expose port 8080."
  • "What's wrong with my Docker container? It keeps crashing."

Tips & gotchas

The skill requires a working Docker environment to be installed and configured. Ensure the agent has appropriate permissions to interact with the Docker daemon.