AI Agent Skills

Deep universal probabilistic programming with Python and PyTorch

The Zoo Design Studio app.

Use when forecasting, estimating, or sizing risk — anchor on base rates, give ranges, update prior→likelihood→posterior on evidence, and factor unmeasured quantities int…

A general-purpose probabilistic programming system with programmable inference

Fast, flexible and easy to use probabilistic modelling in Python.

Plan the smallest set of diagnostic, comparison, paper, and appendix figures or tables needed to support verified mathematical-modeling decisions and claims.

Probabilistic time series modeling in Python

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inferen…

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2509.03505

Natural Gradient Boosting for Probabilistic Prediction

This skill should be used when modeling agent mental states with BDI concepts: beliefs, desires, intentions, RDF-to-belief transformations, rational agency traces, cogni…

Automated modeling and machine learning framework FEDOT

Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modelin…

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python