geomaster

npx skills add K-Dense-AI/scientific-agent-skills --skill geomaster --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# GeoMaster Comprehensive geospatial science skill covering GIS, remote sensing, spatial analysis, and ML for Earth observation across 70+ topics with 500+ code examples in 8 programming languages. ## Installation ```bash # Core Python stack (conda recommended) conda install -c conda-forge gdal rasterio fiona shapely pyproj geopandas # Remote sensing & ML uv pip install rsgislib torchgeo earthengine-api uv pip install scikit-learn xgboost torch-geometric # Network & visualization uv pip install osmnx networkx folium keplergl uv pip install cartopy contextily mapclassify # Big data & cloud uv pip install xarray rioxarray dask-geopandas uv pip install pystac-client planetary-computer # Point clouds uv pip install laspy pylas open3d pdal # Databases conda install -c conda-forge postgis spatialite ``` ## Quick Start ### NDVI from Sentinel-2 ```python import rasterio import numpy as np with rasterio.open('sentinel2.tif') as src: red = src.read(4).astype(float) # B04 nir = src.read(8).astype(float) # B08 ndvi = (nir - red) / (nir + red + 1e-8) ndvi = np.nan_to_num(ndvi, nan=0) profile = src.profile profile.update(count=1, dtype=rasterio.float32) with rasterio.open('ndvi.tif', 'w', **prof

Core Python stack (conda recommended)
conda install -c conda-forge gdal rasterio fiona shapely pyproj geopandas
Remote sensing & ML
uv pip install rsgislib torchgeo earthengine-api
uv pip install scikit-learn xgboost torch-geometric
Network & visualization
uv pip install osmnx networkx folium keplergl
uv pip install cartopy contextily mapclassify
Big data & cloud
uv pip install xarray rioxarray dask-geopandas