pymc-bayesian-modeling
From the author
Bayesian modeling with PyMC 5: priors, likelihood, NUTS/ADVI sampling, diagnostics (R-hat, ESS), LOO/WAIC comparison, prediction. Hierarchical, logistic, GP variants; predictive checks.
Install
npx skills add jaechang-hits/SciAgent-Skills --skill pymc-bayesian-modeling -a claude-code
Installs to .claude/skills/pymc-bayesian-modeling/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 86
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