Use this skill when working with bnlearn, a Python library for Bayesian modeling, probabilistic graphical models, causal discovery, parameter learning, structure learning, inference, do-why calculus (dowhy), sampling, and directed acyclic graphs (DAG).
End-to-end clinical diagnostic reasoning skill. Takes a patient case (SCENARIO.md), runs multi-persona Bayesian reasoning rounds with textbook evidence and literature search, outputs structured DDx with likelihood ratios. Use when solving clinical cases, generating differential diagnoses, discussing clinical…
Geospatial Active Inference framework with 45 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…
Author: Dr. Aneesh Joseph Implementation: Claude (Anthropic) Version: 2.2 | December 2025.
★not rated 7 10mo agoA0 tokens
originalMIT
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