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.
Best use case
hotel is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using hotel should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/hotel/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How hotel Compares
| Feature / Agent | hotel | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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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