Docker Manager for Openclaw

A powerful skill enabling AI agents to manage Docker environments through container lifecycle control and image maintenance.

mkrdiop
v1.0.0
Jan 29, 2026
1
3.3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install moltbot-docker

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Docker Manager?

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.

Docker Manager Use Cases

  • Monitoring container health and resource usage using live stats.
  • Troubleshooting failing services by analyzing logs and inspection data automatically.
  • Automating routine maintenance tasks like pruning unused images and volumes to save disk space.
  • Orchestrating container lifecycles including starting, stopping, and restarting services.
  • Inventory management for tracking local images and running instances.

How Docker Manager Works

  1. The AI agent receives a natural language request related to Docker management.
  2. The skill utilizes the exec tool to invoke the local Docker CLI binary configured in the environment.
  3. Specific commands such as docker ps or docker logs are executed to gather real-time data from the engine.
  4. The agent processes the output, summarizing large log files or technical metadata to provide a concise answer.
  5. For destructive actions like removing images or containers, the skill triggers a safety confirmation prompt before final execution.

Docker Manager Setup

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.

Docker Manager Data Schema & Taxonomy

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.

Docker Manager Advanced Features

  • Integrated diagnostic workflows using docker inspect to identify configuration drift or networking issues.
  • Automated system cleanup routines with interactive safety checks for image and volume management.
  • Tailored log extraction with tail and grep capabilities for specific service troubleshooting.
  • Support for monitoring multi-container stacks and resource-intensive processes.
  • Intelligent parsing of massive command outputs to maintain conversation clarity and focus.

SKILL.md


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