maps

Geocoding place names to coordinates uses OpenStreetMap Nominatim data to return precise latitude and longitude values. You provide a location string, and the skill resolves it to coordinates for location-aware applications.

Nearby POI discovery uses Overpass to search OpenStreetMap data by category and location. You can find landmarks, cafes, or other places around a coordinate and receive distance calculations and maps links.

Routing and drive time calculations use OSRM to compute road distances between two coordinates. It supports driving, walking, and cycling directions to help plan travel routes effectively.

This skill requires no external dependencies and operates as a stdlib-only Python CLI. It handles HTTP requests with retries and safe parameter parsing internally, using public OpenStreetMap and OSRM endpoints.

Timezone lookups use TimeAPI to retrieve timezone information for coordinates. You can fetch current timezone data across coordinates and places to schedule events or synchronize applications.

Reverse geocoding transforms coordinates back into human-readable addresses using OpenStreetMap Nominatim data. It accepts latitude and longitude inputs and resolves them to descriptive location strings.