Data Science & ML Claude 스킬

PathML Pathology Toolkit

Analyzes whole-slide pathology images and multiparametric imaging data using a comprehensive computational pathology toolkit.

ToolUniverse Scientific Research Skill

Empowers AI agents to conduct scientific research by providing standardized access to over 600 bioinformatics, cheminformatics, and genomics tools.

Quantitative Risk Metrics Calculation

Calculates comprehensive portfolio risk metrics and performance indicators for quantitative trading strategies.

Single-Cell Omics Analysis (scvi-tools)

Analyzes single-cell omics data using deep generative models for batch correction, multimodal integration, and differential expression.

LangChain & LangGraph Architecture

Designs and implements sophisticated LLM applications using LangChain 1.x and LangGraph for advanced agent orchestration and state management.

Molfeat Molecular Featurization

Converts chemical structures into high-quality numerical features for molecular machine learning and cheminformatics tasks.

Quantitative Backtesting Frameworks

Builds robust, production-grade backtesting systems to validate trading strategies while eliminating common statistical biases.

OMERO Microscopy Integration

Manages microscopy data and metadata via the OMERO Python API for scientific imaging and high-content screening workflows.

GEO Database Explorer

Accesses and analyzes functional genomics data from the NCBI Gene Expression Omnibus (GEO) repository.

Zarr Python Scientific Data

Manage large-scale N-dimensional arrays with chunking, compression, and cloud-native storage for scientific computing workflows.

ML Pipeline & MLOps Workflow

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

Scanpy Single-Cell Analysis

Performs comprehensive single-cell RNA-seq analysis workflows including quality control, clustering, and trajectory inference.

MLOps Pipeline & Workflow Orchestration

Builds and automates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.

Biopython Bioinformatics Toolkit

Automates computational molecular biology tasks including sequence manipulation, NCBI database queries, and structural analysis.

LLM Evaluation Framework

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

Denario Scientific Research Assistant

Automates the end-to-end scientific research lifecycle from initial data hypothesis to publication-ready LaTeX manuscripts.

RAG Implementation Suite

Builds robust Retrieval-Augmented Generation systems using vector databases, semantic search, and advanced retrieval patterns for LLM applications.

PyHealth AI Toolkit

Develops and deploys specialized machine learning models for clinical healthcare tasks using electronic health records, medical coding, and physiological data.

Vector Index Tuning Specialist

Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for efficient AI applications.

Dask Parallel Computing

Enables parallel and distributed computing in Python to scale pandas and NumPy workflows across multiple cores or clusters for larger-than-memory datasets.

Data Storytelling

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

ZINC Database Integration

Accesses the ZINC22 database to search, filter, and retrieve over 230 million purchasable chemical compounds for drug discovery.

Spark Optimization

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

PubChem Database Integration

Accesses the PubChem database to query over 110 million chemical compounds, retrieve molecular properties, and perform advanced structural searches.

AlphaFold Database Access

Retrieve and analyze over 200 million AI-predicted protein structures from the AlphaFold DB for structural biology and drug discovery.

Matchms Mass Spectrometry Analysis

Processes and analyzes mass spectrometry data through spectral similarity, metadata harmonization, and automated workflows.

Advanced Prompt Engineering Patterns

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production environments.

RDKit Cheminformatics

Provides specialized guidance for molecular analysis, structural manipulation, and chemical property calculation using the RDKit library.

Embedding Strategies for RAG

Optimizes embedding model selection and chunking strategies to improve semantic search and RAG application performance.

LLM Performance Evaluation

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