A comprehensive AI agent skill for interacting, diagnosing, and managing Nimble electric scooters via a unified interface.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install nimble
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 nimble 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 Nimble Scooter Integration?
The Nimble skill is a specialized integration designed for the Openclaw Skills ecosystem, enabling seamless communication between AI agents and Nimble electric scooters. It provides a robust set of tools for device discovery, real-time telemetry monitoring, and deep system configuration, allowing users to maintain their vehicles through a conversational or command-line interface.
By leveraging this skill, developers and power users can access low-level diagnostics, monitor battery health, and customize performance parameters such as speed limits and lighting effects. It transforms a standard electric scooter into a smart, data-driven transport solution, perfect for those who want better control over their hardware using Openclaw Skills.
Nimble Scooter Integration Use Cases
- Performing deep hardware diagnostics via Bluetooth connectivity.
- Real-time monitoring of battery health, current mileage, and trip statistics.
- Customizing vehicle parameters including speed governors and safety light configurations.
- Troubleshooting system errors using built-in error code analysis.
- Exporting historical riding data for external performance analysis.
How Nimble Scooter Integration Works
- The AI agent initializes a connection to the Nimble hardware via a Bluetooth communication layer.
- Upon successful handshake, the agent polls the device's internal registers to retrieve current status and firmware metadata.
- The skill parses incoming telemetry data (battery, speed, mileage) into a standardized format for the user.
- Commands sent by the user are validated against safety protocols (e.g., ensuring the vehicle is stationary before parameter changes) before being transmitted back to the scooter.
- Diagnostic routines analyze error flags and provide actionable recovery steps or factory reset procedures.
Nimble Scooter Integration Setup
To enable the Nimble integration within your environment, ensure your hardware has Bluetooth capabilities enabled and follow these steps:
# Install the Openclaw Skills CLI if not already present
npm install -g @openclaw/cli
# Add the Nimble skill to your agent configuration
openclaw install nimble-scooter-skill
# Verify connection with your device
nimble connect [device_name]
Nimble Scooter Integration Data Schema & Taxonomy
The Nimble skill organizes its data into structured categories for consistent reporting and logging:
| Data Group | Fields Included |
|---|---|
| Device Info | Model Name, Firmware Version, Serial Number |
| Telemetry | Current Speed, Battery %, Remaining Range, Odometer |
| Diagnostics | Error Codes, Component Health Status, Temperature |
| Config | Speed Limit, Tail Light Mode, Cruise Control Toggle |
Nimble Scooter Integration Advanced Features
- Multi-device management for fleets or families owning multiple Nimble units.
- Automated firmware update checks and safety backup of current configurations before flashing.
- Deep diagnostic hooks that provide specific solutions for complex error codes.
- Exportable ride logs in JSON/CSV formats for integration with third-party data analytics tools.
- Safety-lock overrides and factory reset capabilities via Openclaw Skills.
SKILL.md
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