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Using the Bayesian Workflow

Guide end-to-end Bayesian modeling workflows with Stan or JAX backends.

3|Updated Jan 29, 2026
Search Tags:#workflow#diagnostics#mcmc#bayesian#priors#posterior-predictive
One-click install
npx skills add https://github.com/jg-you/bayesian-workflow --skill using-the-bayesian-workflow
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Using the Bayesian Workflow
Source: https://github.com/jg-you/bayesian-workflow/tree/main/skills/using-bayesian-workflow
Command: npx skills add https://github.com/jg-you/bayesian-workflow --skill using-the-bayesian-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a comprehensive, structured workflow for building and validating Bayesian models, reducing guesswork and ensuring rigorous checks from data understanding to reporting.

Core Features & Use Cases

  • End-to-end Bayesian workflow guidance covering data understanding, model specification, priors, simulation, fitting, diagnostics, PPC, and reporting.
  • Spawns guardrails and decision points, including when to revisit priors, run diagnostics, or perform model comparison.
  • Use cases include data analysts building Stan/JAX models, researchers validating priors, and teams producing robust Bayesian analyses.

Quick Start

Provide a dataset and ask Claude to initiate Step 0 to understand data and goals, then proceed through the complete workflow.

Frequently Asked Questions about Using the Bayesian Workflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the recommended workflow for building and validating Bayesian models?▼

A complete Bayesian workflow guides you step-by-step from data understanding through model specification, priors, simulation, fitting, diagnostics, posterior predictive checks, and final reporting.

How do I diagnose MCMC issues and validate priors in my Bayesian model?▼

You validate priors and diagnose MCMC issues by following structured guardrails and decision points that mandate running diagnostics and posterior predictive checks before finalizing your model.

Can I use this Bayesian workflow with Stan or JAX backend frameworks?▼

Yes, this Bayesian workflow applies to building, diagnosing, and comparing models using Stan, JAX, or similar backend frameworks across diverse research and analytics domains.

What's the best way to start an end-to-end Bayesian analysis from scratch?▼

The best way to start a Bayesian analysis is to initiate Step 0 by providing your dataset and goals, then proceed through the complete structured modeling protocol sequentially.

When should I revisit priors or perform model comparison in Bayesian modeling?▼

You should revisit priors or perform model comparison when triggered by specific decision points and guardrails within the workflow, ensuring robust Bayesian analysis and model validation.

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