An automated Docker deployment skill designed to simplify container orchestration and service management through one-click templates.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lu-auto-deploy
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 lu-auto-deploy 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 Lu Auto Deploy?
Lu Auto Deploy is a professional-grade automation skill designed to streamline the lifecycle of Docker-based services. By leveraging Openclaw Skills, it eliminates the manual overhead of setting up containers, managing configuration files, and orchestrating complex stacks. Whether you are deploying a single Nginx instance or a complete monitoring suite, this skill ensures that directory structures, volume mappings, and environment variables are handled with technical precision.
The skill provides a standardized framework for service deployment, particularly optimized for environments requiring consistent path management. It allows users to transition from intent to a running service in seconds, making it an essential tool for developers and homelab enthusiasts who value efficiency and reproducible infrastructure.
Lu Auto Deploy Use Cases
- Rapidly initializing standalone services like Portainer, Vaultwarden, or File Browser.
- Deploying integrated media stacks including Jellyfin and Navidrome with shared volume configurations.
- Setting up comprehensive monitoring environments with Uptime Kuma and Grafana using pre-defined templates.
- Generating and managing docker-compose.yml files automatically to ensure best practices in container orchestration.
- Performing batch deployments to set up entire server environments in a single session.
How Lu Auto Deploy Works
- The user provides a command or keyword such as deploy, install Docker, or service template to activate the skill.
- The skill analyzes the request and selects the appropriate deployment strategy, either via a standalone Docker run command or a multi-container Docker Compose file.
- It automatically prepares the host environment by creating required directory structures, typically under standardized paths like /vol1/1000/Docker/.
- Configuration files and persistent data volumes are mapped to ensure data integrity and ease of maintenance.
- The skill executes the deployment (e.g., docker-compose up -d) and validates that the container is running.
- Finally, it returns the access URL and port information to the user for immediate verification.
Lu Auto Deploy Setup
To utilize this skill within the Openclaw Skills framework, ensure your host environment has Docker and Docker Compose installed. You can prepare your system with the following commands:
# Install Docker if not already present
curl -fsSL https://get.docker.com -o get-docker.sh
sudo sh get-docker.sh
# Ensure the base deployment directory exists
sudo mkdir -p /vol1/1000/Docker
sudo chown $USER:$USER /vol1/1000/Docker
Lu Auto Deploy Data Schema & Taxonomy
Lu Auto Deploy follows a structured taxonomy for organizing container data and configuration files to ensure high portability:
| Level | Path | Description |
|---|---|---|
| Root | /vol1/1000/Docker/ |
The base directory for all automated deployments. |
| Service | /.../[service-name]/ |
A unique directory for each container or stack. |
| Config | /.../docker-compose.yml |
The generated orchestration file for the service. |
| Storage | /.../[service-name]/data |
Persistent application data and databases. |
| Mounts | /vol1/1000/[Category] |
Shared media or document libraries mapped to containers. |
Lu Auto Deploy Advanced Features
- Support for complex Service Stacks that group related containers (e.g., Media Stack, Monitoring Stack) for unified management.
- Automated template generation for popular Openclaw Skills integrations including Uptime Kuma, Grafana, and Jellyfin.
- Intelligent volume mapping that links containerized services to host-level storage for seamless data persistence.
- Batch execution capabilities allowing users to deploy entire software suites with minimal input.
- Standardized logging and status reporting for all deployed containers.
SKILL.md
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