A set of skills to call your agent Bayes. Thomas Bayes.
This repository also configures its own agents. See what baygent-skills tells them →
Learning-Bayesian-Statistics/baygent-skills
Skill Claude CodeCodex
Opinionated amortized Bayesian workflow with BayesFlow for simulation-based inference (SBI). Contains critical guardrails that agents will usually not apply unprompted — always consult before writing BayesFlow code. Trigger on: simulation-based inference, amortized inference, approximate Bayesian inference, BayesFlow…
Learning-Bayesian-Statistics/baygent-skills
Skill Claude CodeCodex
Opinionated Bayesian modeling workflow with PyMC and ArviZ. Contains critical guardrails (nutpie sampler, prior/posterior predictive checks, LOO-PIT calibration, prior sensitivity checks, 94% HDI, non-centered parameterizations, reproducible seeds) that agents won't apply unprompted — always consult before writing…
Learning-Bayesian-Statistics/baygent-skills
Skill Claude CodeCodex
Production-grade Bayesian causal inference with PyMC, CausalPy, and DoWhy. Enforces DAG-first thinking, mandatory user checkpoints for assumptions, design-specific refutation, and defensible reporting with causal language guardrails. Trigger on: causal inference, causal effect estimation, treatment effects…