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hotel

Local-first hotel decision engine for trip stays, hotel comparison, shortlist creation, booking readiness, and accommodation planning. Use whenever the user mentions hotels, where to stay, comparing properties, nights, location tradeoffs, budget, amenities, booking decisions, or choosing the best stay for a trip. Captures hotel options, stores trip context, scores tradeoffs, and surfaces the best-fit hotel based on budget, location, amenities, and decision confidence.

作者: admin | 来源: ClawHub
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ClawHub
版本
V 1.0.0
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hotel

# Hotel: Choose the stay with less friction. ## Core Philosophy 1. Turn vague stay planning into concrete hotel decisions. 2. Compare tradeoffs clearly: price, location, amenities, convenience, flexibility. 3. Shortlist before booking. 4. Reduce booking regret by making decision criteria explicit. ## Runtime Requirements - Python 3 must be available as `python3` - No external packages required ## Storage All data is stored locally only under: - `~/.openclaw/workspace/memory/hotel/trips.json` - `~/.openclaw/workspace/memory/hotel/hotels.json` - `~/.openclaw/workspace/memory/hotel/preferences.json` No external sync. No booking APIs. No credentials required. ## Core Objects - `trip`: destination, dates, budget, purpose, constraints - `hotel`: property candidate with price, area, amenities, refund policy, notes - `preference`: reusable user preferences like breakfast, walkability, quiet rooms, flexible cancellation ## Key Workflows - **Create Trip**: `add_trip.py --destination "Tokyo" --check_in 2026-04-10 --check_out 2026-04-13 --budget_total 450` - **Add Hotel**: `add_hotel.py --trip_id TRP-XXXX --name "Hotel A" --nightly_price 120 --area "Shinjuku" --amenities wifi,breakfast` - **Compare**: `compare_hotels.py --trip_id TRP-XXXX` - **Shortlist**: `shortlist.py --trip_id TRP-XXXX --top 3` - **Booking Check**: `book_ready.py --hotel_id HOT-XXXX` - **Save Preference**: `save_preference.py --key breakfast --value required` ## Scripts | Script | Purpose | |---|---| | `init_storage.py` | Initialize local storage | | `add_trip.py` | Create a new trip | | `add_hotel.py` | Add a hotel candidate | | `compare_hotels.py` | Compare hotel options for a trip | | `shortlist.py` | Surface best-fit hotels | | `book_ready.py` | Check if a hotel is ready to book | | `save_preference.py` | Save reusable hotel preferences |

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 hotel-1776013202 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 hotel-1776013202 技能

通过命令行安装

skillhub install hotel-1776013202

下载 Zip 包

⬇ 下载 hotel v1.0.0

文件大小: 8.45 KB | 发布时间: 2026-4-13 10:34

v1.0.0 最新 2026-4-13 10:34
Hotel@1.0.0: Choose the stay with less friction. Rebuilt hotel as a local-first decision engine for comparing properties, shortlisting the best-fit stay, and reducing booking regret before purchase.

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