rollinggo-hotel

Automate hotel search, filtering, and detail retrieval via the RollingGo CLI.

1|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/bethzyy/hotel --skill rollinggo-hotel-bethzyy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rollinggo-hotel
Source: https://github.com/bethzyy/hotel/tree/main/rollinggo-hotel
Command: npx skills add https://github.com/bethzyy/hotel --skill rollinggo-hotel-bethzyy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Manually searching multiple hotel platforms, filtering results by specific criteria, and comparing prices across providers is time-consuming and inefficient. This Skill automates the entire hotel lookup workflow using the RollingGo CLI, eliminating repetitive manual work for travel planning.

Core Features & Use Cases

  • Structured Hotel Search: Search for hotels by destination, stay dates, occupancy, and custom filters including star rating, tags, distance, and budget to find relevant accommodations.
  • Tag-Based Filtering: Retrieve available hotel tags first to apply precise filters like "breakfast included" or "family friendly" to narrow down search results to matching properties.
  • Detail and Pricing Retrieval: Fetch full hotel details, room plans, and live pricing for selected hotels to make informed booking decisions.
  • Use Case: A traveler planning a trip to Shanghai can use this Skill to find 3-star hotels near Shanghai Disneyland for a 2-night stay with 2 adults, filter for properties with free breakfast, and compare prices across available room types.

Quick Start

Use the rollinggo-hotel skill to search for family-friendly hotels near Tokyo Disneyland for a 3-night stay in May 2026 with 2 adults and 1 child, then fetch detailed pricing and room information for the top result.

Frequently Asked Questions about rollinggo-hotel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate hotel search and price comparison across multiple platforms?

Automated hotel search eliminates manual cross-platform lookups by using the RollingGo CLI to filter accommodations by destination, stay dates, occupancy, and budget constraints. It returns structured JSON-formatted output suitable for automated travel planning workflows.

How do I filter hotel search results by star rating and specific amenities?

Filtering hotel search results by star rating and amenities involves retrieving available hotel tags first, then applying precise filters like breakfast included or family friendly to narrow down properties matching your destination, stay dates, and occupancy requirements.

Can I fetch live room pricing and detailed hotel information using a command line interface?

Fetching live room pricing and detailed hotel information via a command line interface is supported by retrieving full hotel details, room plans, and current pricing for selected properties to inform booking decisions without manual web browsing.

Does the RollingGo hotel search Skill work with both Node and Python environments?

The RollingGo hotel search Skill ensures consistent CLI behavior across both Node and Python distributions. It provides structured parameter validation for hotel search workflows, delivering JSON-formatted output regardless of your runtime environment.

What is the best way to compare hotel room types for a family trip to a specific destination?

Comparing hotel room types for a family trip requires searching by destination and occupancy, such as 2 adults and 1 child, then fetching detailed pricing and room information for matching properties to evaluate available options side by side.

What are the limitations of using CLI-based hotel filtering for complex travel planning?

CLI-based hotel filtering for complex travel planning relies on structured parameter validation and JSON output, meaning results depend on the available tags and filters provided by the RollingGo platform rather than unstructured natural language queries.