skillboardUpdated every 6 hours
skillboardSpatial statistics, topology, and graph theory for geospatial analysis. Use when computing Moran's I, spatial autocorrelation, geodesic distances, graph connectivity, kernel density estimation, or any mathematical operation on geographic data.
GEO INFER MATH Instructions Foundation module with zero internal dependencies. Provides mathematical primitives consumed by all other modules. Core Capabilities Spatial statistics : Moran's I, Geary's C, Getis Ord G , LISA, semivariograms Topology : Voronoi tessellation, Delaunay triangulation, spatial indexing Graph theory : Network analysis, shortest paths, centrality measures Kernel density : Gaussian, Epanechnikov, adaptive bandwidth KDE Distance metrics : Haversine, Vincenty, geodesic on…
Full body not shown for this license – view the source on GitHub →Copy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/GEO-INFER-MATH · pinned to the source commit
git clone https://github.com/ActiveInferenceInstitute/GEO-INFER.git
cd GEO-INFER
git checkout f1e0ad3429186ae3bf01a3fbbbaded4e654fe80c
mkdir -p ".claude/skills/GEO-INFER-MATH"
cp -r "GEO-INFER-MATH" ".claude/skills/GEO-INFER-MATH"Review the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
Scanner static-checks@0.1.0 · commit f1e0ad342918. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
No static rules matched. This is not a safety guarantee.