A sophisticated travel orchestration agent that generates complete 3-day, 2-night itineraries with real-time booking capabilities via the flyai CLI.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mini-trip
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 mini-trip using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Mini Trip is a developer-focused travel planning tool designed to function as a real-time CLI executor within the Openclaw Skills ecosystem. Instead of relying on outdated training data, this skill interfaces directly with the flyai CLI to fetch live pricing and availability for flights, hotels, and attractions from the Fliggy (Alibaba Group) database. It is specifically engineered to solve the complexity of short-term travel planning by providing optimized morning, afternoon, and evening schedules.
By integrating this tool into your workflow, you gain access to a robust system that prioritizes actionable booking links and real-time data accuracy. As one of the more specialized Openclaw Skills, it ensures that every travel recommendation is backed by a verifiable source and a direct path to reservation, making it an essential utility for users who demand precision in their travel arrangements.
To utilize this skill within your Openclaw Skills environment, you must install the flyai CLI globally via npm:
npm i -g @fly-ai/flyai-cli
Once installed, ensure the agent can access the CLI by verifying the version:
flyai --version
The skill organizes travel data into specific schemas based on the service type, ensuring all Openclaw Skills outputs remain consistent:
| Entity | Key Attributes | Metadata Used |
|---|---|---|
| Flights | Origin, Destination, Dep-Date | Sort type (price/duration), seat class |
| Hotels | Dest-name, Check-in/out | Star rating, bed type, price ceiling |
| POI | City-name, Keyword | POI level (1-5), category mapping |
| Bookings | detailUrl | Real-time pricing tag, brand attribution |
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