Coding

Hotel

Try it

Local-first hotel decision engine for trip stays, hotel comparison, shortlist creation, booking readiness, and accommodation planning. Use whenever the user...

What it does

Hotel: Choose the stay with less friction.

The skill document

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

ScriptPurpose
init_storage.pyInitialize local storage
add_trip.pyCreate a new trip
add_hotel.pyAdd a hotel candidate
compare_hotels.pyCompare hotel options for a trip
shortlist.pySurface best-fit hotels
book_ready.pyCheck if a hotel is ready to book
save_preference.pySave reusable hotel preferences

Related skills

Productivity

Find why your productivity system keeps failing, then apply the smallest fix — capacity math, bottleneck routing, durable local notes.

by Iván1 installs

cli-creator

Official

Build a durable command-line tool Codex can run from any repo, with stable JSON output and composable read/write verbs.

by OpenAI27.5k stars

skill-creator

Official

Create, test, and refine agent skills through an iterative loop of writing, evaluating, and rewriting.

by Anthropic177.5k stars

figma-use

Official

Apply Plugin API rules before executing JavaScript in Figma files to avoid hard-to-debug failures.

by OpenAI27.5k stars

aspnet-core

Official

Get current, Microsoft-documented guidance to build or modify ASP.NET Core apps across every supported model.

by OpenAI27.5k stars

More from agistack

Browse all skills

editor

The final publishing layer for anything you write. Paste messy text and get something clear, strong, and ready to send.

by agistack35 installs1 stars

Medical

Local-first health record management with strict privacy boundaries. Organize what happened, what you take, what changed, and what to bring to your doctor —...

by agistack57 installs1 stars

Daily Life Autopilot

The most comprehensive proactive life management skill for AI agents. Covers morning intelligence briefings, email and message triage, follow-up tracking, su...

by agistack36 installs

Funnel

A comprehensive AI agent skill for building and optimizing marketing and sales funnels. Helps SaaS founders, marketers, and growth teams design conversion pa...

by agistack34 installs

Customer

A comprehensive AI agent skill for acquiring, onboarding, retaining, and growing customers. Helps customer success teams reduce churn, expand revenue, and tu...

by agistack33 installs

Meeting Autopilot

A comprehensive AI agent skill that handles every stage of the meeting lifecycle. Prepares you before every meeting with context, attendee backgrounds, and t...

by agistack33 installs