pymc

Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.

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---
name: pymc
description: Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
license: Apache License, Version 2.0
metadata:
    skill-author: K-Dense Inc.
---

# PyMC Bayesian Modeling

## Overview

PyMC is a Python library for Bayesian modeling and probabilistic programming. Build, fit, validate, and compare Bayesian models using PyMC's modern API (version 5.x+), includ
How to Use

Recommended: Install to project (local)

mkdir -p .claude/skills
curl -o .claude/skills/pymc.md \
  https://raw.githubusercontent.com/K-Dense-AI/claude-scientific-skills/main/scientific-skills/pymc/SKILL.md

Skill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.

Alternative: Clone full repo

git clone https://github.com/K-Dense-AI/claude-scientific-skills

Then reference at scientific-skills/pymc/SKILL.md