How do I install the Hotel skill?

Run npx skillmds@latest add dvcrn/hotel in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Hotel safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Hotel?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Hotel free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Hotel by dvcrn — Agent Skill

Name: Hotel
Rating: 4.666666666666667 (3 reviews)
Author: dvcrn

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.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

Hotel: Choose the stay with less friction.

Core Philosophy

Turn vague stay planning into concrete hotel decisions.
Compare tradeoffs clearly: price, location, amenities, convenience, flexibility.
Shortlist before booking.
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

---name: hoteldescription: 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.---# Hotel: Choose the stay with less friction.## Core Philosophy1. 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## StorageAll 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 |

Frequently asked questions