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pymc-bayesian-modeling

13,835 stars 1,200 forks Updated Dec 26, 2025
67.8

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

Commands Marketplace
#model#Print#models#model comparison#parameters
Also in: data analysis github

Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation

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skilz install davila7_claude-code-templates/pymc-bayesian-modeling
skilz install davila7_claude-code-templates/pymc-bayesian-modeling --agent opencode
skilz install davila7_claude-code-templates/pymc-bayesian-modeling --agent codex
skilz install davila7_claude-code-templates/pymc-bayesian-modeling --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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Download Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/davila7/claude-code-templates
2. Copy the skill directory:
cp -r claude-code-templates/cli-tool/components/skills/scientific/pymc ~/.claude/skills/
View on GitHub

Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

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Details

Owner
davila7
Repository
claude-code-templates
Stars
13,835
Forks
1,200
Type
Technical
Meta-Domain
data ai
Primary Domain
machine learning
Sub-Domain
learning models model
Skill Size
92.3 KB
Files
8
Quality Score
67.8

AI-Detected Topics

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model Print models model comparison parameters

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