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Docker Deployment

Checked
pluginagentmarketplace·vlatest·cloud

Helps with Docker, deployment as part of deploying and managing cloud infrastructure workflows.

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 pluginagentmarketplace/custom-plugin-nodejs --skill docker-deployment -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

pluginagentmarketplace

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 pluginagentmarketplace/custom-plugin-nodejs at adbdacbf26.

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

Commit
adbdacbf26
Manifest
skills/docker-deployment/SKILL.md
Scanned
4 files, 368 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

The docker-deployment skill enables AI agents to automatically build, configure, and deploy containerized applications using Docker. It streamlines the workflow from code commit to running service by handling image creation and orchestration tasks.

When to use it

  • Automate the deployment of new microservices to production environments without manual intervention.
  • Ensure consistent application behavior across development, staging, and production servers.
  • Rapidly prototype applications by spinning up isolated containers on demand.
  • Manage complex dependency chains for multi-service architectures efficiently.

Key capabilities

  • Builds Docker images from specified context directories or Dockerfiles.
  • Pushes generated container images to remote registries like Docker Hub or private repositories.
  • Executes deployment commands to start, stop, or update running containers.
  • Manages environment variables and configuration files within the container runtime.

Example prompts

  • "Build a new Docker image for my Node.js API located in the current directory and push it to my registry."
  • "Deploy the latest version of the payment service container to the staging environment with updated database credentials."
  • "Create a multi-stage Dockerfile for this application, optimize the image size, and deploy it using the standard production stack."

Tips & gotchas

Ensure your AI agent has read access to the source code repository and write permissions to the target Docker registry before initiating deployment tasks. Verify that the underlying host system has the Docker daemon running and is accessible to prevent execution failures during the build phase.