A comprehensive integration for Ninebot hardware enabling seamless device interaction, diagnostics, and parameter configuration.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ninebot-skill
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 ninebot-skill 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 Ninebot Integration Skill?
The Ninebot Integration Skill is a specialized tool designed to bridge the gap between AI agents and personal electric vehicles. By utilizing Openclaw Skills, users can establish a unified interface to communicate with Ninebot electric scooters, balance cars, and electric bicycles. It provides a robust framework for monitoring vehicle health, reading telemetry data, and adjusting system configurations through a streamlined command structure.
This skill is particularly valuable for power users and developers who need a technical overview of their vehicle's performance. Whether you are troubleshooting an error code or optimizing your speed settings, this addition to your Openclaw Skills library ensures you have full control over your Ninebot hardware directly from your coding environment.
Ninebot Integration Skill Use Cases
- Performing deep hardware diagnostics on Ninebot scooters and balance bikes.
- Monitoring critical battery health metrics and real-time mileage data.
- Customizing vehicle parameters such as speed limits and tail light behavior.
- Analyzing and troubleshooting common hardware faults using error code interpretation.
- Exporting historical riding statistics for data-driven performance analysis.
How Ninebot Integration Skill Works
- Establish a secure Bluetooth connection between the host system and the Ninebot hardware.
- Query the device for current status packets including battery voltage, firmware version, and mileage.
- Send configuration commands to the vehicle's control board to modify specific user-facing settings.
- Process diagnostic signals to identify potential hardware failures or maintenance requirements.
- Log and export captured telemetry data for external reporting or visualization within Openclaw Skills.
Ninebot Integration Skill Setup
To get started with this skill, ensure your host machine has Bluetooth capabilities enabled. Use the following commands to integrate it into your Openclaw Skills setup:
# Connect to your specific Ninebot device
ninebot connect [device_name]
# Verify connection by checking the battery status
ninebot battery
Note: Ensure the vehicle is stationary when modifying critical parameters and has more than 20% battery remaining.
Ninebot Integration Skill Data Schema & Taxonomy
The skill manages device data through a structured taxonomy of telemetry and configuration attributes. This data is essential for accurate reporting within Openclaw Skills.
| Attribute Group | Description |
|---|---|
| Device Status | Includes current mileage, total mileage, and firmware version. |
| Power Metrics | Tracks battery percentage, cycle counts, and voltage levels. |
| Configuration | Stores user-defined limits like maximum speed and lighting modes. |
| Diagnostics | Maps error codes to specific hardware components for troubleshooting. |
Ninebot Integration Skill Advanced Features
- Full system diagnostics to identify hidden electronic or mechanical issues.
- Factory reset functionality to clear custom configurations and restore default behavior.
- Firmware version tracking to ensure the device is running the latest manufacturer software.
- High-frequency telemetry logging for detailed riding data analysis through Openclaw Skills.
SKILL.md
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