Data Science & ML Claudeスキル

MCM-C Model Validator

Audits mathematical modeling results for MCM/ICM Problem C to ensure logical consistency and model stability.

Portfolio Risk Metrics Calculation

Calculates comprehensive financial risk metrics including VaR, CVaR, Sharpe, and Sortino ratios for quantitative portfolio management.

R Network Meta-Analysis Toolkit

Performs comprehensive network meta-analyses in R using frequentist and Bayesian frameworks to compare multiple treatments simultaneously.

ML Pipeline & MLOps Workflow

Orchestrates end-to-end MLOps pipelines from data ingestion and preparation to model training, validation, and production deployment.

Data Storytelling

Transforms raw analytics into persuasive business narratives through structured storytelling, visualization techniques, and executive-ready frameworks.

Bayesian Modeling in R

Builds and analyzes robust Bayesian statistical models using Stan-based R packages like brms and rstanarm.

Doublet Physics & Streamline Modeling

Validates and reasons through 2-D injection-production doublet models using advanced streamline methods and transport physics.

Spark Optimization

Optimizes Apache Spark jobs through advanced partitioning, memory management, and shuffle performance tuning.

RAG Implementation & Semantic Search

Builds advanced Retrieval-Augmented Generation (RAG) systems using vector databases, semantic search, and sophisticated retrieval patterns for grounded AI applications.

ArXiv Paper Researcher

Automatically downloads, parses, and summarizes ArXiv research papers to provide actionable insights for your project.

LLM Performance Evaluation

Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.

Galaxy Benchmark Ground-Truth Expander

Refines and expands acceptable ground-truth tools for Galaxy tool recommendation benchmarks through manual validation and IO compatibility analysis.

DS-STAR Data Science Framework

Automates complex data science workflows using a multi-agent architecture and optimized model routing for efficient, iterative data analysis.

Gemini LLM Integration

Integrates Google Gemini models into Claude Code for advanced reasoning, multimodal analysis, and high-speed text generation using the google-genai SDK.

Individual Participant Data (IPD) Meta-Analysis

Synthesizes patient-level data across multiple studies using advanced meta-analysis methods and R statistical frameworks.

DTS (Data Tool Suite)

Facilitates observable data exploration and dbt project analysis through a structured SQL query and interpretation workflow.

Rust Machine Learning

Builds high-performance machine learning systems and AI inference pipelines using Rust's memory-efficient ecosystem.

ESM Protein Design & Modeling

Designs, analyzes, and generates protein sequences and structures using Evolutionary Scale Modeling (ESM3 and ESM C).

Prompt Template Manager

Standardizes AI agent development through reusable, composable, and version-controlled prompt templates.

Life Science Literature Explorer

Automates the discovery, extraction, and visualization of open-access life science research from PubMed and Europe PMC.

Excel & Spreadsheet Management

Automates professional spreadsheet creation, financial modeling, and data analysis with rigorous formula verification and industry-standard formatting.

Hummingbot Trading Bot Expert

Provides comprehensive assistance for building, configuring, and optimizing automated crypto trading strategies using the Hummingbot framework.

Cryptofeed Integration

Streams and normalizes real-time cryptocurrency market data from over 40 exchanges for algorithmic trading and analysis.

Trust RL Model Predictions

Optimizes trading strategy execution by removing redundant heuristic pattern filters that conflict with Reinforcement Learning model signals.

RLM Recursive Context Processor

Processes and analyzes massive files through a recursive language model loop and persistent local Python environment.

Google Veo Video Generation

Generates high-fidelity videos and synchronized audio using Google Veo 3.1 via the Vertex AI API.

Multiplex Imaging Analysis

Optimizes segmentation, feature extraction, and spatial analysis workflows for high-dimensional multiplex immunofluorescence imaging data.

Python Dataclass Optimizer

Optimizes Python dataclasses for memory efficiency, immutability, and validation using advanced PEP 557 patterns.

RL Trading Reward Function Optimizer

Eliminates HOLD bias in reinforcement learning trading models by calibrating reward functions and slippage penalties.

Tidyverse Model Tuning

Optimizes machine learning hyperparameters using the R Tidymodels ecosystem for improved model performance.