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.
Why use this skill?
Optimize your travel bookings with the Daolv Hotel Booking Assistant. Get detailed room-rate analysis, cancellation policy checks, and booking recommendations.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/cnchenkai/daolv-hotel-booking-assistantWhat This Skill Does
The daolv-hotel-booking-assistant is a specialized OpenClaw agent skill designed to streamline the hotel reservation process by integrating directly with the ai-go-hotel MCP server. Unlike general search tools, this skill focuses on the 'decision phase' of travel planning. It acts as a professional travel consultant, performing granular lookups for specific room-rate plans, cancellation policies, and final availability checks. By utilizing searchHotels for discovery and getHotelDetail for deep-dive analysis, the agent transforms raw data into actionable insights for the user.
Installation
To install this skill, use the ClawHub CLI command within your OpenClaw environment:
clawhub install openclaw/skills/skills/cnchenkai/daolv-hotel-booking-assistant
Ensure your MCP configuration is correctly pointing to https://mcp.aigohotel.com/mcp and that the required authorization headers are provided as specified in your local references/mcp-client-config.json.
Use Cases
- Comparison Shopping: The user has two hotels in mind and needs a breakdown of price versus cancellation policy.
- Risk Management: Clarifying complex hotel policies regarding non-refundable rates or booking guarantees.
- Final Reservation Prep: Gathering all necessary data points (cancellation window, breakfast inclusion, bed type) to ensure the user is 'booking-ready'.
- Last-Minute Adjustments: Checking if specific room types are still available during high-demand periods.
Example Prompts
- 'I am looking at the Grand Hyatt Tokyo and the Park Hyatt. Can you compare their cancellation policies and suggest which is better for a family of three?'
- 'I have a hotelId: "H-99821". Check the room rates for next weekend in Shanghai and tell me if there are any flexible, refundable options.'
- 'Help me finalize my booking for the Hilton Singapore. What are the potential risks if I need to cancel, and what should I check before I click pay?'
Tips & Limitations
- Be Decisive: The agent is designed to provide one 'best' option and one 'fallback'. Avoid presenting long, unorganized lists.
- Policy Integrity: Never hallucinate or infer policy details. If the MCP tool does not return specific cancellation text, state clearly that the info is unavailable.
- Dynamic Pricing: Hotel rates change by the second. Always remind users that prices are subject to inventory fluctuations and that they should refresh the query immediately before payment.
- Error Handling: If the
getHotelDetailtool returns a plain-text error, present it clearly to the user rather than attempting to guess the issue.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-cnchenkai-daolv-hotel-booking-assistant": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api
Related Skills
daolv-hotel-search
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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
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