Geomaster
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.
- skills.sh installs
- 2.1K
- GitHub stars
- 56.6K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add k-dense-ai/scientific-agent-skills --skill geomaster --agent claude-codeInstalls into .claude/skills of the current project.
Files
GeoMaster
Geospatial analysis across vector/raster GIS, remote sensing, spatial ML, terrain, networks, and scientific applications. Start with the relevant workflow, inspect input provenance, and load only the reference needed for the task.
Tested scope and installation
The local recipe suite targets 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. See review and source ledger for execution limits. Examples requiring actual input files are templates; authenticated Earth Engine/CDS/commercial services, desktop GIS and GPU training remain illustrative.
# In a dedicated environment; install only the workflow's optional dependencies.
uv venv --python 3.13
uv pip install geopandas==1.2.0 rasterio==1.5.2 shapely==2.1.2 pyproj==3.8.0
uv pip install rioxarray==0.23.0 xarray==2026.9.0 'dask[array]' scikit-learn==1.9.1
uv pip install pystac-client==0.9.0 planetary-computer==1.0.0 odc-stac
# For osgeo/native CLI or PDAL, use a separate conda-forge environment:
# conda create -n geo-native -c conda-forge python=3.13 gdal pdal python-pdal
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- Repository
- github.com/k-dense-ai/scientific-agent-skills
- Categories
- AI & Agent Building, Data Science & ML, Python, Rust, Cloud & Infrastructure, Java & JVM
- First seen
- Jun 3, 2026
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