Data Science & ML Agent Skills

Globus Dataset Staging

Manages large-scale scientific dataset transfers between remote Globus endpoints and high-performance computing clusters.

Snakemake Per-Channel Resume Logic

Implements granular skip-existing checks in Snakemake wrapper scripts to resume interrupted HPC jobs without re-processing completed channels.

KINTSUGI GPU-Only SLURM Scheduling

Optimizes KINTSUGI batch processing by enforcing GPU-only SLURM scheduling to achieve up to 25x speedups over CPU fallback.

Weighted Autofluorescence Subtraction

Enhances multiplex immunofluorescence images by applying range-specific weights to remove background noise while preserving delicate biological signals.

Trading Backtest & Colab Optimizer v4

Corrects multi-action trading logic bugs and optimizes backtesting notebooks for Google Colab environments.

ChEMBL Database for Drug Discovery

Queries ChEMBL's vast database of bioactive molecules and bioactivity data to accelerate medicinal chemistry and drug discovery research.

FDA Database Access

Simplifies querying the openFDA API to analyze regulatory data, drug safety profiles, medical device clearances, and food recalls.

Gemini CLI Integration

Integrates the Google Gemini CLI into Claude to provide large-context analysis, safe sandbox execution, and structured code modifications.

Transformers AI Model Integration

Integrates Hugging Face Transformers for advanced natural language processing, computer vision, and audio tasks within development workflows.

Senior Data Engineer

Builds scalable, production-grade data pipelines and ETL/ELT systems using the modern data stack.

Statsmodels Statistical Toolkit

Provides a comprehensive suite of statistical modeling tools for rigorous inference, hypothesis testing, and econometric analysis in Python.

PubMed Database Research

Automates biomedical literature searches and data retrieval from the PubMed database using advanced MeSH queries and the E-utilities API.

Custom Agent Architect

Streamlines the design and architecture of domain-specific AI agents using Claude Agent SDK patterns.

Perplexity AI Search

Executes real-time, AI-powered web searches with cited sources and scientific literature access using Perplexity models.

PyLabRobot Lab Automation

Automates laboratory workflows and controls liquid handling robots, plate readers, and analytical equipment through a unified Python interface.

Agentic Design Patterns

Provides architectural patterns and implementation guides for building reliable autonomous AI agent systems.

Strategy Optimization for Finance

Implements a systematic methodology for diagnosing, refining, and validating trading strategies to improve win rates and returns.

Research & Professional Analysis

Provides structured methodologies and frameworks for market research, competitor analysis, and professional data synthesis.

LangGraph Python Expert

Architects and implements sophisticated, stateful multi-agent LLM applications using LangGraph and Python.

PufferLib RL Framework

Develops high-performance reinforcement learning systems with optimized PPO training, vectorized simulations, and multi-agent support.

DSPy.rb for Claude Code

Builds type-safe, modular LLM applications using Ruby's programmatic prompt framework with signatures and automated optimization.

Hugging Face Space Deployer

Deploys machine learning models to Hugging Face Spaces using optimized configurations for Gradio, ZeroGPU, and LoRA adapters.

Experiment Design Checklist

Generates rigorous experimental frameworks for scientific research and machine learning projects to ensure statistically significant and defensible results.

Research Question Refiner

Transforms vague research interests into concrete, measurable, and tractable research questions through systematic refinement and feasibility analysis.

Histolab Pathology Toolkit

Processes and prepares whole slide pathology images for deep learning and digital pathology workflows.

Scikit-learn ML Suite

Streamlines machine learning workflows in Python by providing expert guidance on scikit-learn algorithms, data preprocessing, and production-ready pipelines.

NLP Basics

Simplifies text analysis and processing using modern NLP techniques including embeddings, tokenization, and transformer models.

Supervised Learning Model Builder

Builds, tunes, and evaluates production-ready classification and regression models using industry-standard machine learning algorithms.

Mass Spectrometry Analysis with PyOpenMS

Analyzes mass spectrometry data for proteomics and metabolomics workflows using the PyOpenMS library.

scvi-tools for Single-Cell Analysis

Facilitates advanced probabilistic modeling and analysis of single-cell omics data using deep generative models.