Pricewin booking assistant

Skill Price-Win/pricewin-skills-hub/skills/pricewin-booking-assistant

Recommend hotels and rooms, generate direct OTA booking links for Agoda and Booking.com. Use when booking a hotel, getting room recommendations, or generating booking links.From its SKILL.md

Install

npx -y skills add Price-Win/pricewin-skills-hub --skill pricewin-booking-assistant

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.8 KB, 412 tokens by cl100k_base, as published. Nobody here has run it

Booking Assistant

Server: pricewin MCP. Orchestrates search → compare → recommend workflow across Agoda + Booking.com.

Recommendation Algorithm

Search: search_hotels with city + guest count + budget filters
Score: rating × log(reviewCount + 1) — balances quality with credibility
Rank: top 3-5 hotels by score
Compare: compare_hotel_prices for each shortlisted hotel
Recommend: filter rooms by guest capacity → pick best value

Booking Link Rules

NEVER invent URLs — only use url from providers[] or room data
Links go directly to OTA (Agoda/Booking.com) booking pages
Always show the OTA source name alongside the link
If multiple OTAs have the same room, show both with prices

Multi-Hotel Comparison

When user wants to compare across hotels:

search_hotels with filters → get top candidates
compare_hotel_prices for each (parallel if possible)
Present side-by-side: hotel name, best room price, cancellation, rating

Output Format

For each recommendation:

### Hotel Name ★★★★☆
- Rating: 8.5/10 (1,234 reviews)
- Best room: Deluxe Double — $85/night
- Free cancellation: Yes
- Book: [Agoda](url) | [Booking.com](url)

Key Parameters

Tool	When to Use
`search_hotels`	Initial discovery with filters
`get_hotel_details`	Deep dive on a specific hotel
`compare_hotel_prices`	Date-specific price comparison
`get_popular_hotels`	Quick recommendations without filters
`autocomplete_city`	Resolve city name to slug

Payload shapes: reference.md.

What ships with it: 3 files

12.4 KB alongside SKILL.md