Bayesian Inference Engine

SkillAI & models

Bayesian probabilistic reasoning for prior specification, posterior computation, and belief updating

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Bayesian Inference Engine skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/scientific-discovery/skills/bayesian-inference-engine/SKILL.md and read by ahel’s review.

Purpose

Provides Bayesian probabilistic reasoning capabilities for prior specification, posterior computation, and sequential belief updating.

Capabilities

Prior elicitation support
MCMC sampling (NUTS, HMC)
Variational inference
Model comparison (Bayes factors, LOO-CV)
Posterior predictive checking
Sequential belief updating

Usage Guidelines

Prior Selection: Choose appropriate, defensible priors
Sampling: Use efficient MCMC algorithms
Diagnostics: Check convergence and mixing
Model Comparison: Use appropriate comparison criteria

Tools/Libraries

PyMC
Stan (PyStan)
ArviZ
NumPyro

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: bayesian-inference-engine
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter