Agent-Skills.md

Agent Skills: PyMC Probabilistic Programming

PyMC for flexible Bayesian modeling

statistical-computingID: a5c-ai/babysitter/pymc-probabilistic-programming

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

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pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/domains/science/mathematics/skills/pymc-probabilistic-programming

Skill Files

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plugins/babysitter/skills/babysit/process/specializations/domains/science/mathematics/skills/pymc-probabilistic-programming/SKILL.md

Skill Metadata

Name
pymc-probabilistic-programming
Description
PyMC for flexible Bayesian modeling

PyMC Probabilistic Programming

Purpose

Provides PyMC capabilities for flexible Bayesian modeling and probabilistic programming in Python.

Capabilities

  • Hierarchical model specification
  • Custom distributions
  • Gaussian processes
  • MCMC and variational inference
  • Model diagnostics
  • ArviZ integration for visualization

Usage Guidelines

  1. Model Building: Use PyMC context managers
  2. Custom Distributions: Define distributions when needed
  3. Hierarchical Models: Build proper hierarchical structures
  4. Visualization: Use ArviZ for diagnostic plots

Tools/Libraries

  • PyMC
  • ArviZ
  • Theano/PyTensor