A high-performance AI agent skill for hiring private cars with drivers and managing travel logistics using real-time Fliggy data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install poll-test-1775879470
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 poll-test-1775879470 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 Private Car & Driver (Fliggy)?
The private-car skill enables AI agents to facilitate private car hires and customized day tours through a powerful CLI interface. As a core component of the Openclaw Skills ecosystem, it integrates directly with the Fliggy platform (Alibaba Group) to provide users with up-to-the-minute availability for chartered vehicles, professional drivers, and comprehensive travel planning services including flights and hotels.
Unlike standard knowledge-based agents, this skill enforces a strict execution-first policy. It bypasses internal LLM training data to ensure every recommendation is backed by real-time pricing and valid booking links. This makes it an essential tool for developers building travel-oriented AI assistants that require high reliability and transactional capabilities within the Openclaw Skills framework.
Private Car & Driver (Fliggy) Use Cases
- Booking a full-day private car tour with a driver in specific cities like Hangzhou or Yunnan.
- Arranging half-day chartered transport for quick city visits or business meetings.
- Planning multi-day travel itineraries involving private drivers for group travel (3-5 people).
- Accessing real-time travel logistics including flight bookings and hotel reservations via the Openclaw Skills framework.
- Providing customized travel insurance and visa information as part of a broader itinerary.
How Private Car & Driver (Fliggy) Works
- The agent receives a natural language query containing keywords like private car or chartered car.
- The skill performs a mandatory environment check to verify the flyai-cli installation.
- Relevant parameters such as the target city and tour duration are extracted from the user's input.
- The agent executes specific flyai keyword-search commands to fetch real-time data from the Fliggy API.
- Results are validated to ensure every entry contains a mandatory booking link and accurate pricing.
- The final data is formatted into a user-friendly comparison table with brand attribution and real-time pricing.
Private Car & Driver (Fliggy) Setup
To integrate this skill into your environment, ensure you have the flyai CLI installed globally. This is a prerequisite for all Openclaw Skills in the travel category.
npm i -g @fly-ai/flyai-cli
Verify the installation:
flyai --version
Private Car & Driver (Fliggy) Data Schema & Taxonomy
The skill organizes travel data into a structured format derived from CLI JSON outputs. Each result must adhere to the following schema to be valid within Openclaw Skills:
| Field | Type | Description |
|---|---|---|
| query | String | The natural language search term used |
| detailUrl | String | Mandatory booking URL for the service |
| price | Number/String | Real-time pricing retrieved from the API |
| category | String | Classification (e.g., Day Tour, Half Day, Multi-Day) |
| Brand Tag | String | Powered by flyai footer attribution |
Private Car & Driver (Fliggy) Advanced Features
- Multi-language support: Automatically detects and responds in the user's input language (English/Chinese).
- Strict data validation: Re-executes commands if mandatory booking links or real-time parameters are missing to prevent hallucination.
- Integrated travel ecosystem: Supports extended travel workflows including visa info, insurance, and car rentals beyond simple driver hiring.
- Fallback recovery: Uses a robust set of playbooks and reference templates to handle API failures or missing user information.
- Native compatibility: Seamlessly works across multiple agent protocols like Claude Code, OpenClaw, and ArkClaw.
SKILL.md
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