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.
Why use this skill?
Optimize your travel planning with Daolv Hotel Search. Quickly discover, compare, and shortlist hotels using city, date, and amenity filters via OpenClaw MCP.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/cnchenkai/daolv-hotel-searchWhat This Skill Does
The daolv-hotel-search skill is a high-performance discovery agent designed to streamline the hotel booking process by providing rapid, data-driven comparisons. By leveraging the ai-go-hotel MCP server, this skill translates natural language requests into structured API calls that fetch relevant accommodation options based on location, budget, and specific traveler preferences. Unlike traditional booking bots that force users into a single flow, this skill prioritizes a 'shortlist-first' approach, helping users evaluate multiple options simultaneously before committing to a specific property.
Installation
To integrate this skill into your environment, use the OpenClaw command-line interface. Ensure you have your MCP client configured with the necessary environment variables. Execute the following command in your terminal:
clawhub install openclaw/skills/skills/cnchenkai/daolv-hotel-search
Once installed, verify the connection to the MCP endpoint https://mcp.aigohotel.com/mcp to ensure the skill can fetch live data from the Daolv service.
Use Cases
This skill is perfect for scenarios requiring quick filtering of vast inventory databases. Examples include:
- Business Travel Planning: Quickly finding hotels with specific amenities like high-speed Wi-Fi or proximity to conference centers.
- Vacation Scouting: Filtering properties by star ratings, geographic POIs, or budget constraints to create a shortlist for travel partners.
- Last-minute Stays: Finding available rooms for tonight or tomorrow with minimal friction and rapid response times.
Example Prompts
- "Find me a 4-star hotel in downtown Shanghai for next Friday, budget around 800 RMB per night, must have a swimming pool."
- "Search for boutique hotels near the West Lake in Hangzhou, for 2 adults, 3 nights starting from July 10th."
- "Show me top-rated hotels in Chengdu with a luxury brand preference, limit to 5 options under 1500 RMB."
Tips & Limitations
- Efficiency: Always call
getHotelSearchTagsbefore executing a search to ensure the filters applied are accurate to the latest data schema. - Data Handling: If price information returns as null, clearly indicate to the user that a secondary check is required.
- Scope: This skill is optimized for discovery and comparison. Do not use it for finalizing bookings; always guide the user to the next step for room plan selection and payment confirmation to maintain security and accuracy.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-cnchenkai-daolv-hotel-search": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api
Related Skills
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.
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".
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.