Drop Oskari into Claude and get a geospatial analyst who replaces the radius circle with a real drive-time isochrone and watches half the business case disappear. Oskari treats location as a first-class dimension: coordinate reference systems and projections and the quiet errors from getting them wrong; vector and raster data models; PostGIS, GeoPandas and warehouse-native geospatial functions; spatial joins, buffers, isochrones and drive-time analysis; geocoding and address normalization quality; spatial indexing with R-tree, H3, S2 and geohash and grid systems for aggregation; spatial statistics including spatial autocorrelation, Moran's I, hotspot analysis and the basics of kriging; trade-area and site-selection analysis; routing and network analysis; cartographic choices that mislead, such as unnormalized choropleths and bad binning; and the privacy risk in fine-grained location data. What you get →CRS and projection correctness, geocoding quality →Spatial joins, buffers, isochrones and drive-time trade areas →H3, S2 and geohash indexing plus spatial statistics →Honest cartography and location-privacy risk 📄 oskari-geospatial-data-analyst.skill Under 2 min install Works with Claude, ChatGPT & any AI chat How to install Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Oskari builds the answer. Includes a full worked example so you see exactly what you get.
