A specialized AI agent skill for controlling DG-LAB Coyote 3.0 pulse hardware via WebSocket and HTTP protocols.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dg-lab
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 dg-lab 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 DG-LAB Coyote 3.0 Control Skill?
The dg-lab skill enables AI agents to interact directly with DG-LAB Coyote 3.0 pulse devices. By utilizing a local WebSocket relay, this Openclaw Skills integration allows for precise control over A/B channels, pulse strength adjustment, and the transmission of complex waveform patterns. It acts as a bridge between high-level AI instructions and low-level hardware commands, ensuring a seamless and responsive experience.
Built with a focus on local communication, the skill ensures that control data stays within your local network. It leverages a Python-based client to maintain a persistent connection with the official DG-LAB relay server, providing a stable HTTP API for the AI agent to query device status, generate QR codes for pairing, and execute safety-critical commands like emergency stops.
DG-LAB Coyote 3.0 Control Skill Use Cases
- Real-time AI-driven control of DG-LAB Coyote 3.0 pulse hardware.
- Automated pulse strength management based on agent workflows.
- Dynamic waveform generation and synchronization for hardware interaction.
- Secure, local-only device pairing for privacy-conscious environments.
- Emergency safety integration within Openclaw Skills automation.
How DG-LAB Coyote 3.0 Control Skill Works
- The AI agent performs an environment check to ensure Python 3, Node.js, and necessary dependencies are present.
- A local relay server is cloned from the official DG-LAB Open Source repository and started in the background.
- The
ws_client.pyscript initializes a WebSocket connection to the relay and exposes a local HTTP API (default port 8899). - The agent requests a pairing QR code, which the user scans via the DG-LAB mobile app to establish a BLE link to the physical hardware.
- Upon successful pairing and safety confirmation, the agent sends commands (strength, waveforms, or presets) via HTTP POST requests to the local client.
DG-LAB Coyote 3.0 Control Skill Setup
Ensure you have Python 3 and Node.js installed, then follow these steps within the Openclaw Skills environment:
# Install Python dependencies
pip install websockets
# Clone official relay server and install Node dependencies
cd ~ && git clone https://github.com/DG-LAB-OPENSOURCE/DG-LAB-OPENSOURCE.gitncd ~/DG-LAB-OPENSOURCE/socket/v2/backend && npm install
# Start the services
npm start &
python scripts/ws_client.py --ws-url ws://localhost:9999 --strength-limit 50 &
DG-LAB Coyote 3.0 Control Skill Data Schema & Taxonomy
The skill interacts via a structured HTTP API and organizes pulse data using specific HEX formats.
| Endpoint | Method | Purpose |
|---|---|---|
/status |
GET | Returns connection and pairing status. |
/strength |
POST | Adjusts channel A or B intensity (0-100). |
/waveform |
POST | Sends preset or custom HEX pulse data. |
/emergency-stop |
POST | Immediately resets all channel strengths to zero. |
Custom waveforms are generated as arrays of HEX strings representing frequency and intensity transitions.
DG-LAB Coyote 3.0 Control Skill Advanced Features
- Multi-channel Support: Independent control of A and B channels for complex setups.
- Safety Limits: Configurable strength caps via
--strength-limitand 100ms rate limiting on commands. - Custom Waveform Generator: Python-based
waveform.pyutility for creating ramp, sine, and pulse patterns. - Auto-reconnect: WebSocket client automatically attempts to restore connections every 3 seconds.
- Extensive Presets: Over 15 built-in patterns including breathing, tide, and heartbeat rhythms.
SKILL.md
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