pymc-bayesian-modeling

Quick Review

Exceptional Bayesian modeling skill with PyMC. The description accurately captures the skill's broad capabilities (hierarchical models, MCMC, variational inference, model comparison). SKILL.md is comprehensive yet well-organized, providing a complete Bayesian workflow from data prep through prediction, with clear code examples, diagnostic guidance, and best practices. Task knowledge is outstanding—covers model patterns, distribution selection, sampling strategies, and troubleshooting with actionable solutions. Structure is excellent: concise overview with detailed sections, logical flow, and references to separate files for deeper details (distributions.md, sampling_inference.md, etc.) without cluttering the main file. Novelty is high: Bayesian modeling with proper diagnostics, hierarchical parameterization, and model comparison requires significant expertise and many iterations that would be token-intensive for a CLI agent alone. This skill packages domain expertise, workflow automation, and diagnostic scripts that meaningfully reduce complexity and cost. Minor room for improvement in making the description even more specific about unique capabilities, but overall this is a highly polished, production-ready skill.