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// Skill profile

Daolv Hotel Booking

name: daolv-hotel-booking

by cnchenkai · published 2026-03-22

数据处理自动化任务加密货币
Total installs
0
Stars
★ 0
Last updated
2026-03
// Install command
$ claw add gh:cnchenkai/cnchenkai-daolv-hotel-booking
View on GitHub
// Full documentation

---

name: daolv-hotel-booking

description: 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.

---

# Daolv Hotel Booking

Provide reliable hotel planning and booking support with structured MCP calls and decision-ready outputs.

Workflow

1. Capture booking intent before calling tools

  • Extract: destination, check-in date, nights, adults/children, room count, budget, purpose (business/family/leisure), required amenities, preferred/avoided brands.
  • If key constraints are missing, ask only the minimum follow-up questions.

    • 2. Prime tags once per task

  • Call `ai-go-hotel.getHotelSearchTags` once.
  • Cache returned tags for the rest of the conversation.
  • Use those tags to build `hotelTags.requiredTags`, `preferredTags`, `excludedTags`, and optional budget constraints.

    • 3. Search hotels with normalized parameters

  • Call `ai-go-hotel.searchHotels` with:

    • - `place`

    - `placeType`

    - `originQuery`

    - optional `checkInDate`, `stayNights`, `adultCount`, `size`, `starRatings`, `hotelTags`, `countryCode`, `distanceInMeter`, `withHotelAmenities`, `language`

  • Prefer `size=8-12` for first pass; narrow to top 3-5 in final output.
  • Respect live schema behavior:

    • - `checkInDate` invalid/past/empty may fallback to tomorrow

    - `price` is an object (use `price.lowestPrice` + `price.currency`)

    - some fields can be null or missing

  • `placeType` can be normalized from user language:

    • - 城市/city → 城市

    - 机场/airport → 机场

    - 景点/attraction → 景点

    - 火车站/railway station → 火车站

    - 地铁站/metro → 地铁站

    - 酒店/hotel → 酒店

    4. Enrich finalists with room-level details

  • For each shortlisted option, call `ai-go-hotel.getHotelDetail` (prefer `hotelId` when available).
  • Pass dates with `checkInDate` / `checkOutDate` format `YYYY-MM-DD`.
  • Handle fallback and edge behavior:

    • - invalid/empty dates may auto-correct

    - failures may return plain text (not structured JSON)

    - `roomRatePlans` can be very large; render only top rows by relevance/price

  • Extract actionable room/price data, cancellation policy, breakfast inclusion, and important constraints.

    • 5. Return decision-ready output

  • Always provide:

    • - Recommended option (best fit)

    - Two alternatives

    - Why each matches constraints

    - Trade-offs (price vs distance vs amenities)

    - Booking handoff steps (what user should confirm next)

    Output Template

    Use concise bullet format:

  • **行程信息**: 目的地 / 日期 / 人数 / 预算 / 关键偏好
  • **推荐酒店（首选）**

    • - 酒店名

    - 预估价格（每晚 & 总价）

    - 位置与交通

    - 房型亮点

    - 取消与早餐政策

    - 推荐理由

  • **备选 1 / 备选 2**（同结构）
  • **决策建议**: 适合人群与风险提示
  • **下一步确认**: 仅列 2-4 个必要确认项

    • Quality Bar

  • Prefer concrete numbers over vague wording.
  • Do not invent unavailable policies/prices.
  • If data is missing or stale, say so explicitly and suggest a refresh query.
  • Keep choices constrained: no long dump lists.
  • Avoid credential exposure or config leakage.

    • MCP Preset Config

  • Embedded MCP preset is included at:

    • - `references/mcp-client-config.json`

  • It targets `https://mcp.aigohotel.com/mcp` using `streamable_http` and prefilled Authorization header.

    • Platform Distribution

    When user asks to publish/distribute this skill, follow the checklist in:

  • `references/distribution.md`
  • `references/promo-copy.md`
    • // Comments
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