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.

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Install skill "daolv-hotel-booking-assistant" with this command: npx skills add cnchenkai/daolv-hotel-booking-assistant

Daolv Hotel Booking Assistant

Focus on booking readiness and risk control.

Workflow

  1. Confirm booking context
  • Ensure destination/date/guest count/room count/currency are clear.
  • If user already has hotelId, prioritize direct detail lookup.
  1. Build candidates
  • If no candidates provided, call searchHotels first for 3-5 options.
  • Then call getHotelDetail for finalists (prefer hotelId over name).
  1. Evaluate room plans
  • Compare room plans by:
    • total/average price
    • cancellation windows/penalties
    • breakfast and included fees
    • bed type / room type fit
  • Limit displayed rows from large roomRatePlans.
  1. Return booking decision + handoff
  • Give one clear “best plan” and one fallback.
  • Include booking risks and what to double-check before payment.
  • Provide direct booking URL if available.

Output Template

  • 预订需求确认:入住/离店/人数/房间数/预算
  • 最佳方案:酒店 + 房型 + 价格 + 退改条款 + 推荐理由
  • 备选方案:关键差异(更便宜/更灵活/位置更优)
  • 风险提示:取消时点、不可退规则、库存波动
  • 下单前确认清单(2-4 条)

Quality Bar

  • Never invent policy text.
  • Handle plain-text error response from getHotelDetail gracefully.
  • If availability uncertain, advise immediate refresh query.
  • Keep recommendation decisive, avoid list dumping.

MCP Preset Config

  • Embedded preset: references/mcp-client-config.json
  • Endpoint: https://mcp.aigohotel.com/mcp (streamable_http + prefilled Authorization header)

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