Data Science & ML Agent Skills

Hotvect Data Dependency Downloader

Automates the retrieval of training and test data dependencies from S3 for local machine learning model development and backtesting.

Hotvect Training Setup

Streamlines the configuration and validation of Hotvect algorithm training runs for Vowpal Wabbit.

Hotvect Debug Command Storage

Captures and stores failed Hotvect command invocations as executable shell scripts for seamless debugging and reproduction.

Python Programming for Data Engineering

Develops production-grade Python scripts for scalable ETL pipelines and high-performance data processing systems.

Data Engineering & ETL Tools

Automates production-grade ETL pipelines and data orchestration using industry-standard tools like Airflow, dbt, and Prefect.

Deep Learning Engineering

Builds, optimizes, and deploys production-grade neural networks using PyTorch, TensorFlow, and modern transformer architectures.

Big Data Engineering

Architects and optimizes high-performance distributed data pipelines for petabyte-scale workloads using Apache Spark and modern table formats.

Statistics & Mathematics for Data Science

Provides foundational mathematical tools and statistical methods for data analysis, hypothesis testing, and machine learning architecture.

Memvid Local RAG

Enables local semantic search and document indexing for PDF, DOCX, and XLSX files directly within Claude Code.

Scientific Critical Thinking

Evaluates research rigor and scientific claims by assessing methodology, statistical validity, and potential biases using standardized frameworks.

C++20 Numerical Patterns

Provides standardized C++20 implementations for high-performance numerical computing, matrix operations, and parallel I/O.

Databricks Feature Engineering

Streamlines the creation, management, and serving of scalable feature stores within the Databricks MLOps ecosystem.

ChIP-seq Biological Quality Control

Performs specialized biological validation for ChIP-seq data by calculating cross-correlation metrics and fraction of reads in peaks.

MLflow Experiment Tracking

Optimizes machine learning workflows on Databricks by implementing structured MLflow experiment tracking and model governance patterns.

Algorithmic Trading Execution Patterns

Optimizes trade execution using advanced algorithms like TWAP, VWAP, and Iceberg orders to minimize market impact and slippage.

ML Monitoring for Databricks

Implements automated model monitoring, drift detection, and performance tracking for production machine learning systems on Databricks.

Databricks Delta Live Tables

Build and manage declarative, self-healing data pipelines with built-in quality enforcement and automated lineage tracking.

Databricks Model Serving

Deploys and manages production-grade machine learning models on Databricks with support for A/B testing and auto-scaling.

Entropy Sequencer

Optimizes interaction sequences using information theory and active inference to maximize learning efficiency and information gain.

AI Chain Modularization Planner

Generates structured plans to decompose complex AI include chains into modular, reusable components.

Scientific Critical Thinking

Evaluates research rigor, methodology, and statistical validity to perform critical analysis of scientific claims.

RAG Research & Semantic Search

Optimizes document retrieval and semantic search workflows using RAG best practices, vector databases, and advanced chunking strategies.

ETE Toolkit for Phylogenomics

Manipulates, analyzes, and visualizes phylogenetic trees and genomic data with the Environment for Tree Exploration (ETE) framework.

Flow Nexus Swarm Orchestrator

Deploys and manages cloud-based AI agent swarms using event-driven workflow automation and intelligent coordination.

Flow Nexus Neural

Trains and deploys complex neural networks across distributed E2B sandbox environments directly within Claude.

ReasoningBank with AgentDB

Implements high-performance adaptive learning and experience replay for AI agents using AgentDB's ultra-fast vector storage.

ToolUniverse Scientific Workflow Suite

Enables Claude to perform complex scientific research by providing access to over 600 bioinformatics, genomics, and cheminformatics tools.

AgentDB Memory Patterns

Implements high-performance persistent memory and learning patterns for AI agents using AgentDB.

NeuroKit2 Biosignal Analysis

Processes and analyzes complex physiological signals including ECG, EEG, and EDA for psychophysiology research and medical data science.

Functional Enrichment Analysis

Performs Gene Ontology and KEGG pathway enrichment analysis from genomic regions or gene lists with automated R-based visualizations.