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skillboardGeospatial Active Inference framework with 44 modules for ecological, civic, and commercial spatial analysis. Use when working with geospatial data, Active Inference, Bayesian modeling, H3 hexagonal indexing, spatial statistics, or any domain-specific geographic analysis (agriculture, health, economics, risk, climate, energy, transport, marine, forestry, water).
GEO INFER A 44 module Python monorepo implementing Active Inference principles for geospatial analysis. Instructions Module Discovery Modules are in directories. Each has its own for detailed guidance. Analytical Core | Module | Import | Purpose | | | | | | MATH | | Spatial statistics, topology, graph theory | | ACT | | Active Inference (free energy, belief updating) | | BAYES | | Bayesian inference (PyMC, TFP, variational) | | AI | | ML pipelines, model selection, spatial features | | COG | |…
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 · 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"
cp -r . ".claude/skills/GEO-INFER"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.
Instructs shell/process/package operations that run commands on the host.
Evidence: pip install· fingerprint 7944ec554efca445