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Docker Compose

Checked
aidotnet·vlatest·cloud·MIT

Automates Docker Compose file generation and deployment for .NET applications on cloud platforms.

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 aidotnet/moyucode --skill docker-compose -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

aidotnet

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 aidotnet/moyucode at 9fa0412ff1.

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

Scanned
1 file, 139 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 allows AI agents to manage and orchestrate Docker containers using docker-compose. It can define and run multi-container applications, simplifying complex deployments. The skill automates the process of building, starting, stopping, and removing containerized services based on a Compose file.

When to use it

  • Local Development: Quickly spin up development environments with multiple interconnected services (e.g., database, web server, API).
  • Testing Environments: Create reproducible test setups by defining the exact containers and network configurations needed for testing.
  • Simple Deployments: Automate deployments of small to medium-sized applications that can be described using a docker-compose.yml file.
  • Infrastructure as Code: Manage your application's infrastructure in code, allowing for version control and easy rollback capabilities.

Key capabilities

  • Compose file parsing and validation
  • Container service startup and shutdown
  • Network configuration management
  • Volume mounting
  • Environment variable injection

Example prompts

  • "Run the docker-compose project defined in ./myproject/docker-compose.yml."
  • "Stop all services defined in the development profile of my docker-compose file."
  • “Show me the status of each container running as part of my docker-compose setup.”

Tips & gotchas

  • Ensure a valid docker-compose.yml file exists and is accessible to the AI agent.
  • The skill's capabilities are limited by what can be defined within a standard docker-compose.yml file; it doesn’t handle more complex orchestration scenarios.