什么是 Booking？

Booking 技能是专为 AI 智能体设计的专业级集成工具，旨在处理现代旅行规划的复杂性。通过在 Openclaw Skills 生态系统中使用此工具，开发者可以让智能体计算包含所有隐藏费用的总成本、核实实时房态并管理旅客偏好。它消除了在 Booking.com、Airbnb 和酒店官网之间手动比价的工作，提供了从搜索到执行的流线化路径。

下载入口:https://github.com/openclaw/skills/tree/main/skills/ivangdavila/booking

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

2. 手动安装

将技能文件夹复制到以下位置之一

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

Booking 应用场景

• 自动对比三个或更多平台的总住宿成本，确保获得最优价格。
• 为特定人群量身定制住宿搜索，例如需要验证 Wi-Fi 的数字游民或需要特定床型配置的家庭。
• 追踪特定目的地的价格变化并管理活跃提醒。
• 通过 AI 智能体指令而非手动浏览来执行端到端的预订流程。

1. 技能通过从本地内存目录加载旅客档案和历史偏好来激活。
2. 触发多平台搜索以获取实时价格和房态数据，绕过过时的训练数据。
3. 系统计算综合总成本，将清洁费、服务费和当地旅游税计算在内。
4. 通过“一票否决”清单（如取消政策、噪音评价）过滤结果，精选出 3-5 个高价值选项。
5. 选定后，技能根据要求执行预订流程或提供最终交易路径。

Booking 配置指南

要在您的 Openclaw Skills 环境中初始化 Booking 技能，请创建所需的数据持久化目录结构：

mkdir -p ~/booking
touch ~/booking/memory.md
touch ~/booking/history.md
touch ~/booking/alerts.md

确保您的智能体拥有这些文件的访问权限，以维护旅客上下文和预订历史。

Booking 数据架构与分类体系

该技能在 ~/booking 目录下组织其数据，结构如下：

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

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

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