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The Stan Fundamentals skill equips Claude with the domain-specific syntax, program architecture, and statistical best practices required to build robust Bayesian models. It covers the essential seven-block program structure, the constrained type system, and critical optimization techniques like vectorization and non-centered parameterization. Whether you are translating models from BUGS/JAGS or building complex hierarchical models from scratch, this skill ensures your Stan code follows modern conventions and integrates seamlessly with workflows like cmdstanr and Statistical Rethinking.
