pymc-bayesian-modeling
davila7/claude-code-templates
PyMC is a Python library for Bayesian modeling and probabilistic programming. Build, fit, validate, and compare Bayesian models using PyMC's modern API (version 5.x+), including hierarchical models, MCMC sampling (NUTS), variational inference, and model comparison (LOO, WAIC).
npx skills add https://github.com/davila7/claude-code-templates --skill pymc-bayesian-modeling
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What does pymc-bayesian-modeling do?
PyMC is a Python library for Bayesian modeling and probabilistic programming. Build, fit, validate, and compare Bayesian models using PyMC's modern API (version 5.x+), including hierarchical models, MCMC sampling (NUTS), variational inference, and model comparison (LOO, WAIC).
Is pymc-bayesian-modeling good?
pymc-bayesian-modeling does not have approved reviews yet, so SkillJury cannot publish a community verdict.
What agent does pymc-bayesian-modeling work with?
pymc-bayesian-modeling currently lists compatibility with codex, gemini-cli, opencode, cursor, claude-code, antigravity.
What are alternatives to pymc-bayesian-modeling?
Skills in the same category include telegram-bot-builder, flutter-app-size, sharp-edges, iterative-retrieval.
How do I install pymc-bayesian-modeling?
npx skills add https://github.com/davila7/claude-code-templates --skill pymc-bayesian-modeling
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