A specialized skill for remote SSH management of high-performance 4090 servers hosting Dify and Docker-based AI infrastructure.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install 4090ctl
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 4090ctl using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The 4090 Server Remote Control skill is an essential tool for developers and homelab enthusiasts who need to manage powerful GPU-bound hardware. By integrating this capability into your library of Openclaw Skills, you can interact with remote Linux environments through secure SSH tunnels. It specifically targets the management of the Dify ecosystem and Docker containers, allowing you to bridge the gap between local development and remote server administration.
Whether you are monitoring system health or deploying AI-powered applications, this skill provides a streamlined interface for terminal-based server operations. It empowers users to treat their 4090 server as a first-class citizen in their automation workflow, leveraging Openclaw Skills to maintain high availability for AI services and complex containerized environments.
To enable this skill, you must first configure your local SSH settings. Edit your ~/.ssh/config file to include the 4090 host details:
Host 4090
HostName 192.168.199.17
User your_username
IdentityFile ~/.ssh/4090_key
PasswordAuthentication no
Once the SSH config is set, verify the connection using ssh 4090. Ensure your server has Docker and Docker Compose installed and that the Dify directory is located at ~/dify/docker to use the built-in restart commands.
The skill interacts with the Dify container ecosystem and system monitoring tools. The primary data points include:
| Service | Container Name | Port | Description |
|---|---|---|---|
| API | docker-api-1 | 5001 | Main API Gateway |
| Worker | docker-worker-1 | 5001 | Asynchronous Task Processing |
| Web | docker-web-1 | 3000 | Frontend User Interface |
| Plugin | docker-plugin_daemon-1 | 5003 | Plugin Management Service |
| Sandbox | docker-sandbox-1 | - | Secure Execution Environment |
Additionally, it monitors hardware metadata including CPU usage, memory occupancy, and disk availability (df -h).
docker-compose integration.Loading
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