Data Science & ML Agent Skills

Worldmat TiDAR Engine

Implements a 3×3×3 matrix execution framework using the TiDAR pattern with GF(3) conservation invariants.

MLOps Engineering

Implements end-to-end machine learning lifecycles including model versioning, automated training pipelines, and production monitoring for scalable AI systems.

Louisville Quantum Gravity

Analyzes and implements stationary measures for the KPZ equation using Liouville quantum gravity and matrix product ansatz.

Quillen Model Category Framework

Implements and manages Quillen model category structures for formal homotopy theory and mathematical modeling.

Stable Baselines3 RL

Implements reinforcement learning workflows using Stable Baselines3 for training agents, creating environments, and optimizing deep RL models.

OMERO Microscopy Data Management

Integrates Claude with the OMERO platform to manage, analyze, and automate bioimaging data workflows using the Python API.

scikit-bio Bioinformatics Toolkit

Processes and analyzes biological data using scikit-bio for sequence alignment, phylogenetics, and microbiome diversity studies.

Scikit-Survival Analysis

Performs advanced survival analysis and time-to-event modeling using the scikit-survival Python library.

K-Scale Robotics Ecosystem

Provides a comprehensive open-source framework for building, training, and deploying humanoid robots using reinforcement learning and sim-to-real transfer.

Dask Parallel Computing

Scales Python data workflows for parallel and distributed computing across larger-than-memory datasets.

Invariant Measure Analysis

Analyzes dynamical systems to identify measures preserved by flow and evaluate qualitative stability behavior.

Matplotlib Data Visualization

Create publication-quality charts, graphs, and complex data visualizations using Python's foundational plotting library.

Single-Cell Genomics Analysis (scvi-tools)

Analyzes single-cell omics data using probabilistic models for tasks like batch correction, dimensionality reduction, and differential expression.

Algorithm Extraction & Documentation

Extracts and structures algorithm pseudocode from academic research papers into actionable implementation plans.

COBRApy Metabolic Modeling

Performs constraint-based reconstruction and analysis (COBRA) of metabolic models for systems biology and metabolic engineering.

PufferLib Reinforcement Learning

Accelerates reinforcement learning workflows through high-performance parallel environment simulation and optimized PPO training.

Hypogenic AI Hypothesis Generator

Automates scientific hypothesis generation and empirical testing using large language models and research literature integration.

BioRxiv Research Database

Searches and retrieves life sciences preprints from the bioRxiv database with support for metadata extraction and PDF downloads.

RDKit Cheminformatics

Performs advanced molecular modeling, chemical property calculation, and substructure analysis using the RDKit toolkit.

AI News Researcher

Researches and compiles the latest AI industry developments, including product launches, research breakthroughs, and regulatory updates.

Entropy-Regularized Inference Engine

Implements a unified framework for active inference and reinforcement learning using entropy regularization to stabilize predictive models and robot control.

Reinforcement Learning Gyms

Standardizes and catalogs diverse Gymnasium and OpenAI Gym environments for reinforcement learning across physics, robotics, chemistry, and gaming domains.

Replicate CLI

Interacts with the Replicate AI platform to run models, manage deployments, and perform fine-tuning directly from the command line.

Senior Data Scientist

Empowers developers with expert-level statistical modeling, experiment design, and production-grade machine learning workflows.

Phenomenological String Rewriting

Transforms German phenomenological concepts into formal string diagram morphisms through counterfactual rewriting and recursive termination.

DisCoPy Categorical Computing

Implements compositional string diagrams and operadic structures for categorical computing and active inference.

Infinity Operads & Topos Unifier

Unifies effective, realizability, and Grothendieck topoi using infinity-operads and lazy ACSet materialization for advanced categorical modeling.

Geniml Genomic ML

Applies machine learning to genomic interval data for training region embeddings, analyzing scATAC-seq, and building consensus peak universes.

GNU Scheme Cognitive Infrastructure

Deploys the GNU Scheme ecosystem to build secure, distributed cognitive agents using Active Inference and WebAssembly.

Historical Document HTR Transcription

Transcribes handwritten historical documents into machine-readable text and archival formats using advanced HTR models.