A serious geospatial toolkit that covers the full stack from satellite imagery processing to network analysis. Ships with 500+ code examples across Python, R, Julia, JavaScript, C++, Java, Go, and Rust, handling everything from NDVI calculations on Sentinel-2 data to terrain analysis and random forest classification. The installation section alone tells you this isn't lightweight: it pulls in GDAL, rasterio, GeoPandas, Earth Engine, and the modern cloud-native stack (STAC, COG, Planetary Computer). Best suited for Earth observation workflows where you need to move between remote sensing, GIS operations, and spatial ML without switching contexts. The code samples are production-ready, not tutorials.
npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill geomaster