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hotel-finder

Search for hotels, hostels, and lodging near landmarks, conference venues, or neighborhoods using Camino AI's location intelligence with AI-powered ranking.

Why use this skill?

Search for hotels, hostels, and lodging using AI-powered ranking. Integrate location intelligence into OpenClaw for smarter travel planning and discovery.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/james-southendsolutions/camino-hotel-finder
Or

What This Skill Does

The hotel-finder skill is a sophisticated location intelligence tool designed for OpenClaw AI agents. It leverages the Camino AI engine to search, filter, and rank lodging options including hotels, hostels, and boutique stays based on natural language inputs. Whether you are planning a business trip near a major conference center or searching for a budget-friendly hostel in a specific neighborhood, this skill provides accurate, AI-ranked results that consider proximity, relevance, and user intent. It abstracts the complexity of geospatial queries into a simple interface, allowing the agent to handle latitude and longitude calculations automatically when a landmark or city is mentioned.

Installation

There are several ways to integrate hotel-finder into your environment. For the quickest setup, use the clawhub command: npx clawhub@latest install hotel-finder

If you are integrating it within the Camino AI suite, you can install the entire collection using the repository link: npx skills add https://github.com/barneyjm/camino-skills --skill hotel-finder

Ensure your API key is configured in your system environment variables as CAMINO_API_KEY to allow the agent to authenticate with the backend services properly.

Use Cases

  • Conference Planning: Automatically find top-rated hotels within walking distance of a convention center to streamline travel logistics.
  • Travel Research: Retrieve a curated list of boutique hotels or hostels in a specific city for vacation planning.
  • Geospatial Analysis: Identify lodging options around specific coordinates for precision-based site selection.
  • Agentic Workflows: Integrate this as part of a larger travel-planning agent that combines hotel search with route planning and parking availability.

Example Prompts

  1. "Find me the top 5 highly-rated hotels near the Moscone Center in San Francisco for next weekend."
  2. "I need a budget-friendly hostel in Berlin within 1000 meters of the city center."
  3. "Search for boutique accommodations near 40.7589, -73.9851 with a focus on modern design."

Tips & Limitations

  • API Limits: The trial version is limited to 25 calls. For heavy use, ensure you sign up for the 1,000 calls/month free tier via the Camino portal.
  • Radius Accuracy: While the default search radius is 2000 meters, you can customize this parameter for larger or more granular searches.
  • AI Ranking: Results are dynamically ranked. Providing specific modifiers like 'luxury', 'boutique', or 'budget' in your prompt will significantly improve the quality of the AI-generated ranking.
  • Coordinates: If the AI fails to locate a landmark, you can provide explicit latitude and longitude to guarantee the search area is accurate.

Metadata

Stars2032
Views2
Updated2026-03-05
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-james-southendsolutions-camino-hotel-finder": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#travel#geospatial#lodging#location-intelligence#ai-search
Safety Score: 5/5

Flags: external-api