An advanced AI-powered integration for Ninebot electric scooters and balance bikes, enabling seamless diagnostics, monitoring, and device configuration.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ninebot
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 ninebot using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Ninebot skill for AI agents provides a unified interface to interact with Ninebot personal transportation devices. By utilizing Bluetooth connectivity, this skill allows users to monitor real-time vehicle health, track mileage, and manage firmware versions directly through an AI-driven workflow. Whether you are using a scooter, a balance bike, or an electric bicycle, this Openclaw Skills integration simplifies the complexity of device management by translating technical telemetry into actionable insights.
To get started with this integration, ensure your host machine has Bluetooth enabled and is within range of the Ninebot device.
# Example of initiating a connection
九号连接 [Device_Name]
# Run a full diagnostic check
九号诊断
Ensure the device battery is above 20% before performing any firmware operations or configuration changes. Some parameters may require the vehicle to be in a parked state.
The skill organizes vehicle data and metadata using a structured taxonomy to ensure compatibility with Openclaw Skills workflows:
| Category | Description |
|---|---|
| Device Metadata | Includes device name, serial number, and firmware version. |
| Battery Profile | Tracks charge percentage, cycle counts, and voltage levels. |
| Telemetry Data | Logs total mileage, current speed, and system temperatures. |
| Configuration | Stores speed limits, light effects, and energy recovery settings. |
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