A specialized CLI-driven skill for AI agents to search, compare, and book theme park tickets with real-time availability.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install theme-park
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 theme-park 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 Theme Park Ticket Finder?
The theme-park skill is a high-performance integration for Openclaw Skills that connects AI coding agents to the Fliggy travel ecosystem via the flyai-cli. It allows developers and users to retrieve live ticket data, express pass options, and pricing for major global attractions including Disney, Universal Studios, Happy Valley, and Chimelong. This skill is designed to move beyond static training data by enforcing mandatory real-time API lookups for every request.
By leveraging the flyai-cli, this skill provides a robust bridge between natural language queries and transactional travel data. It ensures that every response is actionable by requiring valid booking links for all search results, making it an essential tool for building travel-aware AI assistants and automated itinerary planners.
Theme Park Ticket Finder Use Cases
- Finding the cheapest theme park tickets in specific cities like Shanghai, Beijing, or Orlando.
- Checking real-time availability for Disney and Universal Studios tickets during peak seasons.
- Automating the retrieval of express pass pricing and booking links for travel itineraries.
- Comparing different theme park options within a region based on rating and category.
How Theme Park Ticket Finder Works
- The AI agent identifies a theme park or amusement park query and activates the Openclaw Skills theme-park workflow.
- The system performs a mandatory environment check to verify that the flyai-cli is installed and operational.
- The skill extracts necessary parameters such as city name, park keywords, and poi-level from the user's natural language input.
- It executes specific CLI commands (e.g., flyai search-poi) to fetch the latest data directly from the travel provider.
- The agent formats the raw JSON output into a user-friendly comparison table, ensuring every entry contains a verified booking link.
Theme Park Ticket Finder Setup
To use this skill within Openclaw Skills, you must first install the flyai-cli globally via npm:
npm i -g @fly-ai/flyai-cli
After installation, verify the setup by checking the version:
flyai --version
Theme Park Ticket Finder Data Schema & Taxonomy
The skill utilizes a structured parameter mapping system to interface with the CLI. Below is the primary data schema used for search queries:
| Parameter | Requirement | Description |
|---|---|---|
| --city-name | Required | The destination city for the search |
| --keyword | Optional | Specific name of the park (e.g., Disney) |
| --poi-level | Optional | Rating filter from 1 to 5 |
| --category | Optional | Specific category filter, typically set to theme park |
All successful outputs return a detailUrl which is transformed into a mandatory [Book] markdown link.
Theme Park Ticket Finder Advanced Features
- Multi-Playbook Logic: Specialized search routines for Disney, Universal, and local park chains to optimize results.
- Strict Data Validation: A mandatory check ensures no information is served from stale training data, requiring live CLI output for every response.
- Automatic Dependency Management: The skill can detect missing CLI tools and provide the exact installation command to the user.
- Bilingual Support: Seamlessly handles and responds in both English and Chinese based on the user's initial query.
- Booking Integrity: Built-in validation rules that reject any response that does not contain a verified booking URL.
SKILL.md
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