Operating at the intersection of spatial analysis and logistical efficiency, Geospatial Routing & Network Optimization is an agentic skill that enables AI systems to process geographic data and orchestrate efficient pathways to solve complex territorial and distribution challenges. Functionally, this agentic skill involves analyzing multidimensional spatial data to plan efficient routes, allocate territories, and design distribution networks based on specific temporal and spatial constraints. Its primary value lies in rapidly evaluating millions of logistical variables to minimize transit times, reduce operational costs, and scale network planning far beyond manual capacities. ...