A powerful skill enabling AI agents to manage Docker environments through container lifecycle control and image maintenance.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install moltbot-docker
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install moltbot-docker using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Docker Manager skill transforms your AI agent into a specialized Docker expert, allowing it to interface directly with the Docker daemon via the command line. It bridges the gap between natural language requests and technical container operations, making it easier to monitor, deploy, and maintain containerized applications. This addition to your Openclaw Skills collection ensures that your agent can handle everything from simple status checks to complex diagnostics.
By leveraging the exec tool, this skill provides a robust interface for container orchestration within your local or remote environments. Whether you are a developer looking to quickly restart a service or a DevOps engineer needing automated cleanup, this tool provides the necessary hooks for efficient infrastructure management without leaving your chat interface.
To enable Docker Manager within your Openclaw Skills environment, ensure Docker is installed and the daemon is running on the host machine.
# Verify Docker installation and version
docker --version
# Ensure your user has the necessary permissions to run docker commands
sudo usermod -aG docker $USER
Once Docker is accessible, add the skill to your agent's configuration and ensure the docker binary is included in the system PATH.
The skill primarily interacts with the Docker engine API via the CLI. It organizes data according to standard Docker objects and metadata taxonomy:
| Object Type | Description | Key Metadata |
|---|---|---|
| Container | Running instances of images | ID, Name, Status, Ports, Health |
| Image | Static snapshots for containers | Repository, Tag, Image ID, Size |
| Volume | Persistent data storage | Name, Driver, Mountpoint |
| Network | Communication layers | Name, Scope, Driver, Subnet |
All logs and command outputs are retrieved in real-time and summarized to prevent context window overflow while maintaining technical accuracy.
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