Find Locations from Descriptions

Not every location comes as a neatly formatted street address. Users type "near the Eiffel Tower," meeting notes say "the coffee shop on Main and 3rd," and datasets contain entries like "downtown Seattle" or "LAX airport." These informal descriptions still need to be converted to coordinates for mapping and analysis.

The geocode_address skill handles fuzzy location inputs beyond just formal street addresses. Landmarks, neighborhoods, intersections, points of interest, and partial addresses are all resolved to their best-match coordinates. The confidence score tells you how precise the match is -- a specific building will score higher than a neighborhood name.

This is particularly useful for processing user-generated content where location references are informal, enriching event data where venues are described by name rather than address, and building location search features that accept natural language input. The skill bridges the gap between how humans describe places and how software needs to represent them.