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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.

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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namedaolv-hotel-search
descriptionHotel 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 Search

Focus on fast discovery and clean shortlist output.

Workflow

  1. Capture search intent
  • Extract destination, check-in date, nights, guests, budget, star range, distance preference, amenities, brand preferences.
  • Ask only minimal missing questions.
  1. Prime tags once
  • Call ai-go-hotel.getHotelSearchTags once per task.
  • Map user intent into hotelTags.requiredTags / preferredTags / excludedTags.
  1. Run hotel search
  • Call ai-go-hotel.searchHotels with required fields:
    • originQuery, place, placeType
  • Include optional fields when available:
    • checkInDate, stayNights, adultCount, countryCode, starRatings, distanceInMeter, size, hotelTags
  • Prefer size=10 first, then narrow to top 3-5.
  1. Return shortlist only
  • Output: 1 recommended + 2 alternatives.
  • Include quick trade-off: price / location / amenities / star.
  • Do not deep-dive room plans unless user asks to proceed to booking.

Output Template

  • 搜索条件：地点 / 日期 / 人数 / 预算 / 偏好
  • 首选酒店：价格区间、位置、标签命中、推荐理由
  • 备选 1-2：同结构
  • 下一步：是否进入“房型与退改细节”阶段

Quality Bar

  • Use concrete numbers when available.
  • Use price.lowestPrice + price.currency (price is object).
  • If price missing/null, mark as “需二次查价”.
  • Keep output concise and decision-oriented.

MCP Preset Config

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