skills.rest
Learning-Bayesian-StatisticsLearning-Bayesian-StatisticsOfficial·2 Agent Skills Included

baygent-skills

Bayesian modeling, causal inference, and simulation-based diagnostics

Guides full Bayesian modeling workflows with PyMC and ArviZ, from prior selection to convergence diagnostics and calibrated reporting. Runs production-grade causal inference with DAG-first design, mandatory refutation tests, and calibrated causal language. Trains amortized simulation-based inference with BayesFlow, eliminating hand-rolled diagnostics and unreliable statistical claims.
161|18
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npx skills add Learning-Bayesian-Statistics/baygent-skills --all -g -y
Available:

Explains the repository's skill structure, dual PyMC 5/6 environments, and authoring rules so the agent loads, runs, and tests each statistical skill correctly.

All Skills in This Repository (2)

Pure Emerald Level Indicators
📦 In Repo
Learning-Bayesian-StatisticsLearning-Bayesian-Statistics

amortized-workflow

Implement a guarded amortized Bayesian workflow for simulation-based inference with BayesFlow.

Official
Advanced
📦 In Repo
Learning-Bayesian-StatisticsLearning-Bayesian-Statistics

causal-inference

Run causal-inference analyses from observational data using PyMC, CausalPy, and DoWhy.

Official
Advanced

Frequently Asked Questions

FAQPage Schema
How to install baygent-skills?▼

Run `npx skills add Learning-Bayesian-Statistics/baygent-skills --all -g -y` in your terminal to install all three skills globally. Note that causal-inference depends on bayesian-workflow, so install both together.

What does baygent-skills do?▼

It walks your coding agent through complete Bayesian analyses: prior selection, MCMC sampling, convergence diagnostics, causal effect estimation with refutation tests, and simulation-based inference with BayesFlow.

Which agents work with baygent-skills?▼

Any agent supporting the Agent Skills spec works, including Claude Code, Kimi Code, Cursor, and Gemini CLI.

Do I need to know Bayesian statistics to use it?▼

Basic familiarity helps, but the skills enforce the correct workflow steps automatically and can adapt reports into plain language for non-technical audiences.

Does it support both PyMC 5 and PyMC 6?▼

Yes. The bayesian-workflow scripts are verified on both PyMC 5 and PyMC 6 stacks, with a cross-environment equivalence test guaranteeing identical diagnostics.

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