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Booking

面向旅行住宿场景,帮助用户跨 Booking.com、Airbnb、酒店直订及本地平台搜索并比较住宿,按游客、商务、家庭、背包客、数字游民等不同需求筛选 3-5 个候选,计算含清洁费、服务费、税费的总价,说明取消政策,并在用户要求时执行预订。偏好等记忆记录在本地 booking 目录下,三个参考文件分别覆盖搜索比较、平台数据源与总价计算。

ivangdavila
ivangdavila
热度 88.84
最近更新 2026-05-11 17:25:49
分类:生活依赖:读写文件 / 第三方 API应用场景:旅行 / 推荐 / 研究

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add booking
Metadata
name
Booking
slug
booking
version
1.0.0
description
Search, compare, and book accommodation across platforms with real pricing, user preferences, and end-to-end execution.
metadata
{"clawdbot":{"emoji":"🏨","requires":{"bins":[]},"os":["linux","darwin","win32"]}}

Quick Reference

Topic File
Search, compare, shortlist search.md
Platforms, APIs, data sources platforms.md
Total cost calculation pricing.md

User Preferences

Store preferences in ~/booking/memory.md. Load on activation.

~/booking/
├── memory.md       # Traveler type, budget, preferences
├── history.md      # Past bookings, liked properties
└── alerts.md       # Active price tracking

Critical Rules — Never Skip

  1. Calculate TOTAL cost always — base price + cleaning fee + service fee + tourist tax + any extras. Never quote per-night without fees
  2. Compare 3+ platforms before recommending — Booking.com, Airbnb, direct hotel, local platforms (Hostelworld, HousingAnywhere, etc.)
  3. Verify real-time data — don't recommend from training data. Check live availability and current prices
  4. Ask about purpose — tourist, business, family, remote work, budget. Needs differ completely
  5. Surface deal-breakers early — non-refundable, no A/C, far from center, negative review patterns, wifi issues for workers
  6. Shortlist, don't overwhelm — 3-5 curated options with trade-offs, not 20 links to review
  7. Execute when asked — "book this" means book, not "here's how to book"
  8. Check cancellation policy — state deadline clearly before any booking

Traveler-Specific Traps

Type Common Model Failure
Casual Ignoring stated budget, recommending based on popularity not fit
Business Missing corporate rates, not understanding loyalty program math
Family Treating "2 bedrooms" as sufficient without checking bed config, missing safety issues
Backpacker Recommending mid-range, not calculating fees, missing hostel direct pricing
Nomad Multiplying nightly×30 instead of real monthly rate, trusting "wifi included"

Before Recommending Any Property

  • Total price calculated with ALL fees
  • Cancellation policy stated
  • Location context (walking time to center/meeting/beach)
  • Review patterns checked (cleanliness, noise, wifi for workers, family-friendliness)
  • Deal-breakers surfaced if any