Docker Platform Guide
ListedProvides clear, step-by-step guidance on deploying and managing applications using Docker containers across various cloud platforms.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add josiahsiegel/claude-plugin-marketplace --skill docker-platform-guide -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
josiahsiegel
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.
Automated safety checks
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 undeclared network calls: failed
Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: download.docker.com.
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.
Hosts contacted
download.docker.comundeclaredWhat it found
- plugins/docker-master/skills/docker-platform-guide/SKILL.md:160contacts download.docker.com
sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc
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 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 josiahsiegel/claude-plugin-marketplace at 5a1b1123b9.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 5a1b1123b9
- Scanned
- 2 files, 671 lines
About this skill
docker-platform-guide
What it does
This skill enables AI agents to interact with Docker platforms, allowing them to manage containerized applications and orchestrate infrastructure tasks. It provides the necessary tools for agents to execute commands, inspect system states, and automate deployment workflows within a Docker environment.
When to use it
- Automating the build and deployment of microservices across different environments.
- Debugging container runtime issues by executing diagnostic commands inside running containers.
- Scaling infrastructure dynamically based on load or scheduled maintenance windows.
- Managing multi-stage builds to optimize image sizes for production deployments.
Key capabilities
- Execute Docker CLI commands directly within the agent's context.
- Inspect container logs, network configurations, and resource usage metrics.
- Manage Docker images, including pulling, pushing, and tagging versions.
- Orchestrate container lifecycles through start, stop, restart, and remove operations.
Example prompts
- "Build a new Docker image from the current project directory and tag it as 'latest'."
- "Inspect the logs of the running web service container to identify any recent errors."
- "Create a new container from the specified image and map port 8080 to host port 3000."
Tips & gotchas
Ensure your AI agent has appropriate permissions to access the Docker daemon socket or execute privileged commands when necessary. Always validate container configurations before deploying to production environments to avoid unintended service disruptions.