Locate nearby amenities from OpenStreetMap using Python, Nominatim, and Overpass API.
npx skills add https://github.com/gqf2008/hermez-ai --skill find-nearby-gqf2008
Please help me install this Agent Skill. Skill: find-nearby Source: https://github.com/gqf2008/hermez-ai/tree/main/skills/leisure/find-nearby Command: npx skills add https://github.com/gqf2008/hermez-ai --skill find-nearby-gqf2008
Locate nearby amenities (restaurants, cafes, bars, pharmacies, and more) around a given location using OpenStreetMap data without API keys.
Provide a location and one or more place types, then run the script to retrieve nearby places within a chosen radius.
High-intent search queries and answers about installing and using this skill.
You can find nearby places using OpenStreetMap data without an API key by providing a location and place types. The tool uses Nominatim for geocoding and the Overpass API to search within a configurable radius, returning sorted results.
Yes, you can search using a street address or ZIP code. The geocoding feature converts addresses, cities, or ZIP codes into geographic coordinates automatically, enabling location-based nearby searches without needing manual coordinate input.
You can locate various amenities around a given location, including restaurants, cafes, bars, pharmacies, and more. The nearby search queries OpenStreetMap data to find multiple place types within your defined radius and sorts them by distance.
Yes, the output includes distance and Google Maps links for quick navigation. Results contain fields like name, type, distance, coordinates, and directions URLs, and can be returned as human-friendly text or machine-readable JSON.
Yes, Telegram location pins are supported as input. The tool accepts coordinates, addresses, cities, ZIP codes, or Telegram location pins to locate nearby amenities and returns distance and directions URLs for your search.
The tool relies on the Overpass API for nearby searches and Nominatim for geocoding. Being free and keyless, it is subject to OpenStreetMap rate limits and data freshness, meaning search results depend on community-contributed map data availability.
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