rollinggo-hotel
Hotel search and pricing via the RollingGo CLI. Use when the user wants to search hotels by destination, filter by date/star/budget/tags/distance, inspect hotel detail and room pricing, or look up hotel tags. Trigger phrases — "search hotels", "find hotels near", "hotel detail", "hotel pricing", "hotel tags", "rollinggo".
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/cnchenkai/rollinggo-searchhotel-skillWhat This Skill Does
The rollinggo-hotel skill is a powerful command-line interface integration designed for OpenClaw AI agents to facilitate seamless hotel discovery, detailed rate analysis, and booking assistance. By leveraging the RollingGo CLI, the agent can perform real-time searches across vast hotel databases, filtering results based on specific user requirements such as location, price, star rating, and custom amenity tags. The skill acts as an intelligent intermediary that transforms natural language requests into precise terminal commands, parses the structured JSON output into human-readable recommendations, and provides deep-dive analytics on room availability and cancellation policies.
Installation
To integrate this skill into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/cnchenkai/rollinggo-searchhotel-searchhotel-skill
Ensure your runtime environment is prepared. For Node.js/npm environments, the skill defaults to npx --yes --package rollinggo@latest, while Python users should utilize uvx --refresh --from rollinggo. Always ensure your AIGOHOTEL_API_KEY is exported in your environment variables to avoid runtime authorization errors.
Use Cases
This skill is ideal for travel planning and concierge-style automation. Use it when:
- Comparing multiple luxury hotels in a specific city by star rating and distance to local landmarks.
- Determining if a hotel meets specific 'family-friendly' or 'breakfast-included' requirements by checking the official tag dictionary.
- Performing real-time price checks and examining detailed room configurations for a specific hotel ID.
- Assisting users in navigating booking funnels by providing direct links to hotel detail and reservation pages.
Example Prompts
- "Find me 5-star hotels in Paris near the Eiffel Tower that allow pets and have a budget under $400 per night for next weekend."
- "Show me the room pricing and cancellation policy for the Grand Hyatt Tokyo, hotel ID GH-12345."
- "List all available hotel tags so I can filter for properties that offer free parking and a pool."
Tips & Limitations
To ensure optimal performance, always confirm the destination and travel dates at the start of your conversation. If search results are sparse, try relaxing the budget or distance filters. For accurate filtering, always call the hotel-tags command first to ensure you are using supported nomenclature. Note that this skill is strictly for hotel services; do not use it for flights, car rentals, or other travel logistics.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-cnchenkai-rollinggo-searchhotel-skill": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api, code-execution
Related Skills
daolv-hotel-search
Hotel search and shortlist comparison using the ai-go-hotel MCP server (getHotelSearchTags, searchHotels). Use when users need fast hotel discovery by city/POI/date/budget/amenities/brand, but do not yet need full booking-room confirmation.
daolv-hotel-booking
Hotel discovery, shortlist comparison, and booking handoff using the ai-go-hotel MCP server (getHotelSearchTags, searchHotels, getHotelDetail). Use when users ask to find hotels, compare options by budget/location/amenities, plan city stays, family or business lodging, or complete hotel booking decisions with clear next actions.
daolv-hotel-booking-assistant
Hotel booking-decision assistant using ai-go-hotel MCP (searchHotels + getHotelDetail). Use when users already have candidate hotels and need room-rate details, cancellation policy checks, final recommendation, and booking handoff actions.