Data Science & ML Claudeスキル

TorchDrug Scientific Computing

16

Accelerates drug discovery and molecular research by providing specialized tools for graph neural networks, protein modeling, and chemical property prediction.

Open Targets Scientific Database

16

Queries the Open Targets Platform to identify therapeutic drug targets, evaluate disease associations, and analyze clinical trial data.

Polars High-Performance Data Analysis

16

Optimizes data processing workflows using the high-performance Polars DataFrame library and expression API.

PyTorch Geometric (PyG)

16

Simplifies the development and training of Graph Neural Networks (GNNs) for deep learning on irregular and relational data structures.

Medchem Molecular Filters

16

Applies medicinal chemistry rules and structural alerts to triage and prioritize compound libraries for drug discovery workflows.

Scientific Data Visualization

16

Generates publication-quality scientific figures and multi-panel layouts compliant with major journal standards.

NCBI Gene Database Tools

16

Queries and retrieves genomic data from NCBI Gene databases using E-utilities and the modern Datasets API.

COSMIC Cancer Genomics Access

16

Accesses the world's largest somatic mutation database for cancer research and precision oncology data retrieval.

Scientific Critical Thinking

16

Evaluates scientific rigor by assessing research methodology, statistical validity, and potential biases using industry-standard frameworks.

PyTDC Drug Discovery ML

16

Provides AI-ready datasets, benchmarks, and molecular oracles for drug discovery and therapeutics machine learning.

LangChain Architecture

16

Architects sophisticated LLM applications using the LangChain framework with support for autonomous agents, memory management, and RAG patterns.

RAG Implementation Toolkit

16

Builds robust Retrieval-Augmented Generation systems using vector databases, semantic search, and optimized retrieval pipelines.

Biopython for Bioinformatics

16

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

ClinPGx Pharmacogenomics Database

16

Accesses comprehensive pharmacogenomics data including gene-drug interactions, CPIC guidelines, and genotype-guided dosing recommendations.

UniProt Database Search & Mapping

16

Accesses the UniProt knowledgebase to search, retrieve, and map protein sequence and functional information.

Pymoo Optimization

16

Implements advanced multi-objective and many-objective optimization frameworks using state-of-the-art evolutionary algorithms and Pareto analysis.

Adaptive Rejection Sampler

16

Provides specialized guidance for implementing efficient Adaptive Rejection Sampling algorithms for log-concave probability distributions.

gget Bioinformatics Toolkit

16

Provides unified access to 20+ genomic databases and bioinformatics tools for gene information, sequence analysis, and protein structure prediction.

Pysam Bioinformatics Toolkit

16

Simplifies genomic data processing by providing a Pythonic interface for reading, writing, and manipulating SAM, BAM, CRAM, and VCF files.

LLM Evaluation Suite

16

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

Epidemiologist Analyst

16

Analyzes disease patterns, health events, and transmission dynamics using established epidemiological frameworks and mathematical modeling.

Anthropologist Analyst

16

Analyzes events and cultural systems through established anthropological frameworks and ethnographic methods.

KEGG Database Pathway Analysis

16

Accesses the KEGG REST API to perform biological pathway analysis, gene-pathway mapping, and metabolic network research.

Dask Parallel Computing

16

Enables parallel and distributed computing in Python to scale pandas and NumPy operations beyond memory limits.

AI Memory Systems & Architecture

16

Designs and implements persistent long-term memory systems for AI agents using vector databases, knowledge graphs, and RAG architectures.

PyTorch Model Recovery

16

Reconstructs PyTorch model architectures from weight files and state dictionaries by analyzing tensor shapes and naming patterns.

Scientific Hypothesis Generator

16

Generates testable, evidence-based scientific hypotheses and experimental designs from observations or literature.

HuggingFace Model Inference

16

Provides procedural guidance for setting up HuggingFace model inference services using Flask, covering environment setup, model caching, and robust API implementation.

Statsmodels Statistical Analysis

16

Performs rigorous statistical modeling, econometric analysis, and hypothesis testing using Python's statsmodels library.

Raman Spectroscopy Peak Fitting

16

Analyzes and fits peaks in Raman spectroscopy data using physically-constrained models like Lorentzian, Gaussian, and Voigt functions.