pymc-bayesian-modeling

Quick Review

Exceptional Bayesian modeling skill with comprehensive coverage of PyMC workflows. The description clearly conveys capabilities for hierarchical models, MCMC sampling, model comparison, and inference. Task knowledge is outstanding—provides complete workflows from data preparation through diagnostics, with detailed code examples, best practices, and troubleshooting guidance. Structure is excellent: SKILL.md gives a thorough yet navigable overview with clear sections, while delegating deeper reference material and utilities to separate files. The skill is highly novel—Bayesian inference with proper workflow (prior/posterior checks, convergence diagnostics, non-centered parameterization) requires substantial expertise and many iterations that would consume extensive tokens for a CLI agent. This skill meaningfully reduces complexity and cost for probabilistic programming tasks. Minor improvement possible: SKILL.md is information-dense (could be slightly more concise), but this is justified given the complexity of Bayesian workflows and the need for actionable guidance at multiple expertise levels.