study-tour for Openclaw

An AI agent skill designed to plan and book educational travel experiences including museum visits, university tours, and STEM-focused field trips.

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v3.2.0
Apr 11, 2026
0
667
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install study-tour-test-1775879640

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 study-tour-test-1775879640 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 study-tour?

The study-tour skill for Openclaw Skills is a specialized tool that enables AI agents to orchestrate complex educational travel itineraries. By leveraging the flyai-cli, it accesses real-time data from Alibaba Group's Fliggy platform to provide up-to-the-minute information on flights, hotels, and educational points of interest. This skill is specifically designed for academic and cultural exploration, ensuring that every recommendation is practical and bookable.

Rather than relying on outdated training data, this skill enforces a strict CLI-first execution policy. This ensures that users receive accurate pricing and availability for cultural workshops, historical sites, and science centers. It is an essential component for any developer building travel-focused agents within the Openclaw Skills ecosystem, prioritizing technical accuracy and real-world utility.

study-tour Use Cases

  • Planning a museum-focused educational trip including memorial halls and art exhibitions.
  • Organizing a STEM-based science camp with visits to technology centers and science museums.
  • Coordinating historical field trips to ancient capitals, archaeological sites, and heritage landmarks.
  • Automating university tours and campus visits for student groups.
  • Managing end-to-end logistics for school trips including group flights and hotel reservations.

How study-tour Works

  1. Environment Verification: The agent checks for the flyai-cli installation to ensure it can fetch live travel data.
  2. Intent Analysis: It identifies educational themes such as history, science, or culture from the user's query.
  3. Data Retrieval: The skill executes a series of CLI commands to search for flights, student-friendly hotels, and relevant educational POIs.
  4. Constraint Filtering: It applies filters like price ascending, rating descending, or proximity to specific educational landmarks.
  5. Validation: The skill verifies that every result includes a mandatory booking link and real-time pricing.
  6. Response Generation: It formats the gathered data into a structured Markdown report with comparison tables and booking calls-to-action.

study-tour Setup

To use this skill, you must first install the flyai-cli globally on your system. This tool is required by Openclaw Skills to perform real-time searches.

npm i -g @fly-ai/flyai-cli

After installation, verify the setup:

flyai --version

study-tour Data Schema & Taxonomy

The skill structures travel data into a bookable format. Below is the metadata taxonomy used for educational trips:

Component Parameters Tracked
Flights Origin, Destination, Departure Date, Price (CNY), Seat Class
Hotels Destination, Check-in/out, Rating, Bed Type, Nearby POI
POI City, Educational Category (Museum/Science/History), POI Level
Metadata DetailUrl (Mandatory), Real-time Price Tag, Source Brand

study-tour Advanced Features

  • Multi-Playbook Support: Pre-configured workflows for Museum, History, and Science tours.
  • Intelligent POI Mapping: Automatically maps educational categories to the correct CLI parameters.
  • Real-time Pricing Enforcement: Rejects any data that does not contain a live booking link.
  • Flexible Date Range Search: Supports finding the most cost-effective dates for school trips.
  • Multi-Language Localization: Automatically detects and responds in the user's input language (English/Chinese).

SKILL.md


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