fitness-finder

What This Skill Does

The fitness-finder skill acts as a specialized geolocation agent designed to bridge the gap between abstract user needs and concrete physical infrastructure. By leveraging Camino AI's sophisticated location intelligence, the skill queries OpenStreetMap data to identify gyms, yoga studios, swimming pools, and various sports facilities. What elevates this tool beyond a standard map lookup is its AI-powered ranking system, which processes search results to present the most relevant and high-quality fitness options based on the user's provided location coordinates or contextual queries.

Installation

Installation is straightforward via the OpenClaw ecosystem. You can install it using the clawhub CLI directly:

npx clawhub@latest install fitness-finder

Alternatively, you can pull it directly from the community repository:

npx skills add https://github.com/barneyjm/camino-skills --skill fitness-finder

Ensure you have configured your environment by adding your API key to your settings. You can obtain a free trial key or a production key at app.getcamino.ai. Once installed and configured with your CAMINO_API_KEY, the agent will be ready to perform localized searches.

Use Cases

This skill is perfect for travelers or remote workers who need to maintain their exercise routines while moving between cities. It is also highly effective for locals trying to discover new types of boutique fitness studios or specialized sports facilities like public swimming pools that may not appear at the top of generic search engine results. It is an essential component for any productivity-focused AI agent suite that includes journey planning and location-based logistics.

Example Prompts

1. "I am traveling to Chicago for the week; find me the top-rated swimming pools near my hotel downtown."
2. "Search for yoga studios within a 2-kilometer radius of my current location, focusing on beginner-friendly options."
3. "Where can I find a functional fitness or CrossFit gym near the financial district in NYC?"

Tips & Limitations

To get the best results, always provide specific coordinates if you are looking for highly localized data; however, the agent is capable of inferring locations if you provide city names or descriptive landmarks. Note that the default search radius is 1500 meters. If you are in a rural area or a dense city where options are sparse, you may need to increase the search radius parameter to return results. Remember that the quality of data is dependent on OpenStreetMap's current contributor data, so while it is highly accurate, it is best used as a tool for initial discovery rather than a real-time reservation system.