Ninebot Integration Skill for Openclaw

An advanced AI-powered integration for Ninebot electric scooters and balance bikes, enabling seamless diagnostics, monitoring, and device configuration.

aninebot
v0.0.1
Mar 10, 2026
1
919
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install ninebot

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Ninebot Integration Skill?

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.

Ninebot Integration Skill Use Cases

  • Connecting to Ninebot devices for deep system diagnostics and health monitoring.
  • Monitoring battery health, total mileage, and real-time riding data for performance tracking.
  • Configuring vehicle parameters such as speed limits and tail light behavior.
  • Troubleshooting common hardware faults and interpreting error codes.
  • Exporting historical riding statistics to analyze usage patterns within Openclaw Skills.

How Ninebot Integration Skill Works

  1. Initialize a connection with the Ninebot device using the Bluetooth pairing command.
  2. Query the current state of the vehicle to retrieve telemetry such as battery level and firmware version.
  3. Execute configuration updates or diagnostic routines based on specific user requests.
  4. Process and display diagnostic results or error codes with suggested resolutions.
  5. Maintain a log of device interactions and riding statistics for future reference.

Ninebot Integration Skill Setup

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.

Ninebot Integration Skill Data Schema & Taxonomy

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.

Ninebot Integration Skill Advanced Features

  • Automated full-system health check via diagnostic hooks.
  • Firmware version comparison and configuration backup before applying updates.
  • Factory reset capabilities for device decommissioning or troubleshooting.
  • Real-time error code analysis with integrated troubleshooting guides.
  • Multi-device support for managing multiple Ninebot units within the Openclaw Skills ecosystem.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*