Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Searches hotels by city, point of interest, dates, budget, star rating, and amenities using the ai-go-hotel MCP server. Returns a shortlist of one recommended hotel plus two alternatives with a quick price/location/amenity trade-off. Stops before room-level booking details unless the user asks to continue.
Returns a structured shortlist with trade-offs instead of a raw list, so users can make a decision without wading through irrelevant results.
When to use it
- Finding hotels near a conference venue for a business trip
- Comparing budget vs mid-range options in an unfamiliar city
- Narrowing down hotels by star rating and distance from a landmark
- Shortlisting family-friendly hotels with specific amenities
- Quick hotel discovery when planning a last-minute trip
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Find me a hotel in Shanghai near The Bund, check-in March 20 for 3 nights, 2 adults, budget under 800 CNY/night, 4-star preferred
- 1Extracts destination (Shanghai/The Bund), check-in date, nights, guests, budget, and star rating from the request
- 2Calls getHotelSearchTags once to map intent into requiredTags, preferredTags, and excludedTags
- 3Calls searchHotels with place, placeType, checkInDate, stayNights, adultCount, starRatings, distanceInMeter, hotelTags, and size=10
- 4Filters results to top 3-5 candidates and selects 1 recommended plus 2 alternatives
- 5Returns shortlist with price range, location note, tag matches, and a prompt to proceed to room details if needed
Structured shortlist: preferred hotel with lowest price and location summary, two alternatives with trade-off notes on price/location/amenities, and a next-step prompt for room and cancellation details
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.