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More AI Skills apps
About geomaster

geomaster
Supports geospatial research workflows for remote sensing
geomaster is an agent skill for geospatial research. It covers remote sensing, vector and raster GIS, spatial statistics, terrain and network analysis, and machine learning for spatial data. You start from the workflow that fits your task, check where your input data came from, and load only the reference you need. The skill's tested recipes target GeoPandas 1.2.0, Rasterio 1.5.2, Shapely 2.1.2, PyProj 3.8.0, Rioxarray 0.23.0, Xarray 2026.9.0, OSMnx 2.1.1 and PySTAC Client 0.9.0. Its review file records the execution limits. Examples that need real input files are templates, and tasks that need authenticated services, such as Google Earth Engine, the Copernicus Climate Data Store or commercial satellite providers, desktop GIS software or GPU training, are described as illustrative rather than run. Use it when you are working with satellite imagery, geographic layers, spatial analysis or the scientific side of mapping. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars, and its source review is linked from the skill page. The listing shows it as free, and it has about 1,800 installs.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/geomaster

