find-nearby

Find nearby places via OpenStreetMap with distance-aware structured results.

6|2|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/GregsGreyCode/Logos --skill find-nearby-gregsgreycode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: find-nearby
Source: https://github.com/GregsGreyCode/Logos/tree/main/skills/leisure/find-nearby
Command: npx skills add https://github.com/GregsGreyCode/Logos --skill find-nearby-gregsgreycode

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill helps users discover nearby places (restaurants, cafes, bars, pharmacies, and more) by leveraging OpenStreetMap data, working from coordinates, addresses, cities, zip codes, or Telegram location pins, all without requiring API keys.

Core Features & Use Cases

  • Geolocation flexibility: Accepts coordinates, addresses, cities, and zip codes to locate nearby venues.
  • Distance-aware results: Returns each place with its distance from the input location and convenient map/directions links.
  • Output formats: Provides human-readable lists and structured data suitable for automation.

Quick Start

Run the script with coordinates or a location query to fetch nearby places and view distances.

Frequently Asked Questions about find-nearby

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

FAQPage Schema
How do I find nearby places using OpenStreetMap data?

You can find nearby places with OpenStreetMap by providing coordinates, addresses, cities, zip codes, or Telegram location pins. The tool queries Overpass and Nominatim servers to return distance-aware venue results.

Do I need an API key to query OpenStreetMap for nearby locations?

You do not need an API key to query OpenStreetMap for nearby locations. The process queries public Overpass and Nominatim servers directly to fetch place data without requiring authentication.

What location input formats are supported for geocoding nearby venues?

Supported location input formats for geocoding nearby venues include raw coordinates, street addresses, city names, zip codes, and Telegram location pins, allowing flexible discovery workflows.

What details are included in the structured data for nearby places?

The structured data for nearby places includes the venue name, type, distance from the input location, coordinates, and convenient maps and directions URLs for immediate navigation.

What is the best way to discover nearby restaurants or cafes without API keys?

The best way to discover nearby restaurants or cafes without API keys is querying OpenStreetMap via Nominatim and Overpass. This returns distance-aware results optimized for local discovery workflows.

Can I use Telegram location pins to search for nearby points of interest?

You can use Telegram location pins to search for nearby points of interest. The geocoding logic accepts these pins alongside addresses and coordinates to fetch local venues from OpenStreetMap.