Bayesian inference and probabilistic modeling for geospatial data. Use when building hierarchical models, computing posteriors with PyMC or TFP, performing variational inference, model comparison (LOO/WAIC/DIC), or spatial Gaussian processes.
GEO INFER BAYES Instructions Core Capabilities Bayesian inference : Full posterior computation via MCMC and variational methods Model comparison : LOO CV, WAIC, DIC, BIC, AIC (all real implementations) Gaussian processes : Exact Cholesky and batched inducing point variational GPs Hierarchical models : Partial pooling via Cholesky LKJ decomposition Prior specification : Jeffreys, reference, unit information priors ELBO computation : Real evidence lower bound (not placeholder) Key Imports…
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-BAYES · pinned to the source commit
# Run from your project root
git clone https://github.com/ActiveInferenceInstitute/GEO-INFER.git .skillboard-tmp
git -C .skillboard-tmp checkout f1e0ad3429186ae3bf01a3fbbbaded4e654fe80c
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/GEO-INFER-BAYES" ".claude/skills/"
rm -rf .skillboard-tmpReview the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
sudo apt update && sudo apt install -y gitnpm install -g @anthropic-ai/claude-code# Run from your project root
git clone https://github.com/ActiveInferenceInstitute/GEO-INFER.git .skillboard-tmp
git -C .skillboard-tmp checkout f1e0ad3429186ae3bf01a3fbbbaded4e654fe80c
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/GEO-INFER-BAYES" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/GEO-INFER-BAYES
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.