Data Science & ML Claude 스킬

Context Engineering Fundamentals

Provides foundational strategies for managing AI agent context windows, attention mechanics, and token usage to improve model performance.

Advanced LLM Evaluation

Implements production-grade LLM-as-a-judge techniques to evaluate AI outputs using direct scoring, pairwise comparison, and bias mitigation.

Context Optimization

Maximizes LLM context efficiency and reduces token costs through strategic compaction, masking, and partitioning techniques.

Multi-Agent Architecture Patterns

Provides expert guidance for designing and implementing distributed multi-agent architectures to scale task complexity beyond single-context limits.

Memory Systems Design

Implements sophisticated memory architectures for AI agents to persist state, build knowledge graphs, and maintain long-term context.

BDI Mental State Modeling

Transforms external RDF context into agent mental states to enable deliberative reasoning and explainable AI within cognitive architectures.

PyTDC Therapeutics Data Commons

Facilitates drug discovery and therapeutic machine learning by providing AI-ready datasets, benchmarks, and molecular oracles.

OpenAlex Scientific Database

Queries and analyzes over 240 million scholarly works, authors, and institutions using the OpenAlex open-access database.

Vaex Big Data Analysis

Processes and visualizes massive tabular datasets exceeding available RAM using high-performance out-of-core DataFrame operations.

STRING Protein Interaction Analysis

Accesses and analyzes protein-protein interaction networks and functional enrichment data using the STRING database API.

NetworkX Graph Analysis

Builds, analyzes, and visualizes complex networks and graph data structures using the Python NetworkX library.

PyDESeq2 Bioinformatics Analysis

Performs differential gene expression analysis on bulk RNA-seq data using the DESeq2 framework within Python.

PyLabRobot Lab Automation

Automates laboratory workflows and hardware control using a hardware-agnostic Python interface for liquid handlers and analytical equipment.

ChEMBL Bioactive Database

Queries the ChEMBL database for bioactive molecules, drug targets, and medicinal chemistry data to support drug discovery research.

GWAS Catalog Explorer

Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant associations, study metadata, and comprehensive summary statistics for genomic research.

Polars Data Analysis

Accelerates data processing and analysis using the high-performance Polars DataFrame library for Python and Rust.

Scikit-bio Bioinformatics Toolkit

Analyzes biological data including sequences, phylogenetic trees, and microbial community diversity using the scikit-bio Python library.

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.

AnnData Scientific Data Management

Manages annotated data matrices for single-cell genomics and large-scale biological datasets using the AnnData Python framework.

Single-Cell Omics Analysis (scvi-tools)

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

NCBI Gene Database Explorer

Queries and retrieves comprehensive gene information from NCBI databases for genomic research and functional analysis.

Molfeat Molecular Featurization

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

TorchDrug Molecular Science

Accelerates drug discovery and molecular research using graph neural networks and PyTorch-based machine learning.

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.

Scikit-learn Machine Learning

Implements professional machine learning workflows in Python using scikit-learn for classification, regression, clustering, and data preprocessing.

Scanpy Single-Cell Analysis

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

Arboreto Gene Regulatory Network Inference

Infers gene regulatory networks from transcriptomics data using scalable algorithms like GRNBoost2 and GENIE3.