A comprehensive enterprise car service assistant for booking immediate rides, airport transfers, and chartered vehicles with full order management.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install instant-ride
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 instant-ride using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Enterprise Car Service Assistant is a professional-grade mobility solution designed to integrate seamlessly with AI agents. It provides a robust framework for managing various transportation scenarios, including real-time ride-hailing, scheduled departures, and specialized airport transfers with flight tracking. By leveraging Openclaw Skills, developers can empower their agents to handle complex travel logistics with precision and reliability.
This skill is built with strict enterprise constraints, ensuring that all pricing and vehicle availability data is fetched through authentic service platform APIs. It supports multiple vehicle tiers—from Economy to Luxury—and provides comprehensive post-trip management features such as electronic invoicing, trip sharing, and expense reporting. This makes it an essential tool for business travelers and administrative teams looking to automate corporate mobility workflows.
To deploy this skill within your environment, ensure you have the necessary runtime dependencies installed. This skill specifically requires Python 3 for its backend execution.
# Verify Python installation
python3 --version
# Install the car service skill via the Openclaw Skills manager
openclaw install fb-car-service-skill
# Configure your enterprise API credentials in the environment
export CAR_SERVICE_API_KEY='your_api_key_here'
The skill organizes data into structured JSON objects to ensure interoperability between the AI agent and the service provider. Below is the primary metadata and response taxonomy:
| Component | Data Points | Description |
|---|---|---|
| Order Status | pending, accepted, arriving, in_progress, completed | Tracks the real-time lifecycle of the ride |
| Vehicle Info | plate_number, brand, model, color | Physical identification of the assigned car |
| Price Estimate | base_fare, mileage_fare, time_fare, surcharges | Itemized cost breakdown for transparency |
| Transfer Data | flight_number, airport, flight_date | Specialized parameters for airport logistics |
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