Machine learning pipelines and model selection for geospatial AI. Use when training spatial ML models, building prediction pipelines, performing feature engineering on geographic data, or selecting between ML approaches for spatial problems.
GEO INFER AI Instructions Core Capabilities ML pipelines : End to end spatial feature engineering → training → evaluation Model selection : Cross validation, hyperparameter optimization Spatial features : H3 based feature extraction, proximity features Deep learning : Spatial neural networks, graph neural networks Transfer learning : Pre trained geospatial embeddings Key Imports Examples Guidelines Integrations Integrates with SPACE module for H3 based feature extraction Depends on MATH for…
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-AI · 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-AI" ".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-AI" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/GEO-INFER-AI
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.