A streamlined command-line interface helper for managing Docker containers, images, and system resources.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install docker-cli
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install docker-cli 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 CLI Helper?
The Docker CLI Helper is a specialized skill designed to bridge the gap between AI coding agents and container orchestration. By leveraging Openclaw Skills, developers can seamlessly build, inspect, and manage Docker environments directly through their agent interface, ensuring a consistent and safe workflow for containerized applications.
This skill provides a structured approach to common Docker tasks, emphasizing safety through read-only commands while offering full lifecycle management for containers, volumes, and images. It is an essential component for any developer looking to automate their DevOps pipeline using Openclaw Skills.
Docker CLI Helper Use Cases
- Building or rebuilding Docker images from a Dockerfile.
- Orchestrating one-off or long-running container services.
- Monitoring container logs and resource usage for debugging.
- Executing interactive shells inside running containers for troubleshooting.
- Cleaning up system resources like unused images, volumes, and stopped containers.
How Docker CLI Helper Works
- The AI agent checks for Docker availability by verifying the version or info command.
- Based on user intent, the skill identifies the appropriate container or image operation.
- A safety check is performed to prioritize non-destructive commands like list or inspect.
- The skill generates and executes the specific Docker CLI command with requested flags.
- Output is captured and presented to the user, providing feedback on the operation's success.
Docker CLI Helper Setup
Ensure Docker is installed and running on your host machine. You can verify your environment for Openclaw Skills by running:
docker version
Once verified, the skill is ready to interface with your local Docker daemon through your coding agent.
Docker CLI Helper Data Schema & Taxonomy
The skill interacts with the Docker engine API and organizes data based on the standard Docker object hierarchy:
| Object | Metadata Captured | Primary Commands |
|---|---|---|
| Containers | ID, Name, Status, Port Mappings | ps, inspect, logs |
| Images | ID, Tag, Size, Created Date | images, build, rmi |
| Volumes | Mount Points, Drivers | volume ls, volume rm |
| System | Disk Usage, Versioning | info, system prune |
Docker CLI Helper Advanced Features
- Interactive shell execution via exec commands for real-time container debugging.
- Sophisticated system cleanup using system prune with custom filters to reclaim disk space.
- Port mapping and volume mounting automation for complex local development environments.
- Streamed log monitoring with the follow flag to track service behavior in real-time.
- Integrated multi-stage build support for optimized image generation within Openclaw Skills workflows.
SKILL.md
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