bayesian

A curated collection of Claude Code configurations for modern R development, including skills for tidyverse patterns, rlang, performance optimization, OOP, and TDD workflows. Features rules, commands, agents, hooks, and contexts for generating idiomatic R code with efficient token usage.

Provides structured cognitive frameworks and decision-making tools to enhance analytical reasoning, problem-solving, and critical thinking skills.

Streamline AI model discovery, evaluation, and integration with curated, pre-tested machine learning solutions for developers and data scientists.

Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS