OM

    Osm Maps Navigator

    by Edric Vale

    1

    Use OpenStreetMap and OSRM services for geocoding, reverse geocoding, nearby POI search, driving and walking routes, distance/time estimates and timezone lookup

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Find the driving distance and estimated time between the Eiffel Tower and the Louvre in Paris.

    Your agent does

    Distance: 3.8 km Driving Duration: 9.5 minutes Route: Via Quai d'Orsay and Pont Royal. Coordinates: Start (2.2945, 48.8584), End (2.3376, 48.8606)

    What you get

    Convert street addresses to GPS coordinates for database enrichment.Calculate travel time and distance for driving, walking, or cycling.Identify nearby amenities like restaurants or gas stations within a radius.Retrieve timezone data for specific geographic coordinates.

    About this skill

    The problem

    Integrating map features often requires expensive commercial API keys with complex billing tiers. Developers needing simple geocoding, routing, or POI discovery shouldn't have to manage credit balances for basic geographic lookups.

    What it does

    • Converts addresses to latitude and longitude using Nominatim.
    • Performs reverse geocoding to identify street names and cities from coordinates.
    • Calculates driving, walking, and cycling routes including distance and duration estimates via OSRM.
    • Queries nearby points of interest (POIs) like cafes or landmarks using the Overpass API.
    • Resolves timezones based on geographic coordinates.

    Frameworks & tools

    OpenStreetMap (OSM), OSRM, Nominatim, Overpass API, and jq for JSON processing.

    Why this beats prompting it yourself

    This skill handles the specific technical nuances of open-source map APIs, such as the required User-Agent headers for Nominatim and the specific lon,lat coordinate ordering in OSRM that often trips up manual implementations. It ensures rate-limit compliance and correct query formatting for complex Overpass Turbo lookups.

    Use cases

    • Estimate delivery times for local courier services.
    • Build store locators to find the nearest physical branches.
    • Enrich datasets with neighborhood and timezone information.
    • Compare walking vs. driving durations for urban planning scripts.

    Known limitations

    Public Nominatim endpoints are limited to 1 request per second. Not suitable for live traffic routing or massive batch processing without local hosting.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Recently published to Agensi

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