Data Science & ML Claudeスキル

Custom Agent Architect

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

DuckDB for Scientific Data

Integrates high-performance analytical SQL capabilities into Python workflows for efficient data processing and large-scale querying.

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.

Scientific Visualization

Generates publication-quality scientific figures and multi-panel plots adhering to journal standards and accessibility guidelines.

Data Wrangler

Transforms and analyzes large datasets using DuckDB SQL directly within the Claude Code environment.

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.

ML Fundamentals

Master core machine learning pillars including data preprocessing, feature engineering, and robust model evaluation pipelines.

Research Question Refiner

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

Experiment Design Checklist

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

Multi-Provider Model Orchestrator

Orchestrates multiple AI model providers to optimize development workflows for cost, latency, and reasoning capability.

Histolab Pathology Toolkit

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

Trading Strategy Research

Streamlines the development, validation, and systematic documentation of trading strategies and market edges.

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.

arXiv Research Terminal

Fetches, searches, and manages academic papers from arXiv through a local CLI-based database.

scvi-tools for Single-Cell Analysis

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

Seaborn Statistical Visualization

Generates professional, publication-quality statistical graphics and complex multi-panel data visualizations using Python's Seaborn library.

Dask Parallel Computing

Enables parallel and distributed computing for Python data science workflows to process datasets larger than available memory.

Gemini Image Generator

Generates and transforms high-quality images using Google's Gemini models through customizable Python scripts.

Genome Analyzer

Analyzes genomic VCF files to provide personalized insights on health, metabolism, and genetic traits.

Qiskit Quantum Computing

Builds, optimizes, and executes quantum circuits and algorithms across various hardware providers and simulators.

SymPy Symbolic Mathematics

Performs exact symbolic computation, calculus, and equation solving in Python to handle complex mathematical formulas without numerical approximation.