hotel-finder

What This Skill Does

The hotel-finder skill is a sophisticated location intelligence tool designed to bridge the gap between abstract travel queries and concrete, AI-ranked lodging data. By integrating with the Camino AI engine, this skill allows your OpenClaw agent to process complex natural language requests—such as finding accommodation near specific landmarks, convention centers, or neighborhood hotspots—and return curated, high-relevance lists of hotels, hostels, and boutique stays. Unlike basic search tools, it leverages AI-powered ranking to filter results based on context and relevance, rather than just proximity.

Installation

You can install this skill easily via the ClawHub command-line interface. For a global install, run npx clawhub@latest install hotel-finder. If you prefer to manage the source code directly, you can pull it from the barneyjm/camino-skills repository using the provided npx install commands. Ensure that you have registered your account at app.getcamino.ai and added the CAMINO_API_KEY to your ~/.claude/settings.json file to enable the agent to authenticate its requests to the Camino backend. For a quick trial, you can generate a temporary key using the curl command provided in the documentation.

Use Cases

This skill is perfect for digital nomads, business travelers, and event organizers. Use it to quickly locate hotels within walking distance of a conference venue, find budget-friendly hostels in unfamiliar cities, or discover highly-rated boutique lodging in specific cultural districts. It is particularly effective for multi-step tasks, such as finding a hotel near an airport for a late arrival or identifying quiet lodging options near a busy city center.

Example Prompts

1. "Find me the top-rated boutique hotels within 500 meters of the Louvre in Paris, please."
2. "I need a list of hostels in downtown Tokyo that are under $100 a night and close to the subway system."
3. "Search for hotels near the Moscone Center in San Francisco for the upcoming developer conference next month."

Tips & Limitations

To get the best results, provide as much context as possible in your query. While the agent can infer locations, providing explicit coordinates (lat/lon) will always improve accuracy for niche areas. Note that the default search radius is 2000 meters; if you are looking for more widespread options, explicitly increase the radius parameter. Always remember to monitor your API usage, especially during high-frequency testing, to ensure you stay within the limits of your selected plan.