Data Science & ML Claudeスキル

PyLabRobot Automation

Automates laboratory workflows and hardware control through a unified, hardware-agnostic Python interface.

DeepChem Molecular ML

Facilitates molecular machine learning and drug discovery workflows using the DeepChem toolkit.

PyDESeq2 Differential Expression

Performs robust differential gene expression analysis for bulk RNA-seq data using the Python implementation of DESeq2.

Bioinformatics BioServices

Streamlines access to over 40 bioinformatics web services for integrated biological data retrieval and analysis.

GeoPandas Geospatial Analysis

Extends pandas with geometric operations and spatial data structures for advanced geospatial analysis and mapping.

PufferLib Reinforcement Learning

Builds and trains high-performance reinforcement learning agents using optimized vectorization and multi-agent simulation.

Scikit-bio Bioinformatics Toolkit

Performs comprehensive biological data analysis, including sequence manipulation, phylogenetics, and microbiome ecology statistics.

Hypogenic Scientific Hypothesis Generator

Automates scientific hypothesis generation and testing by combining observational data with literature-based insights using large language models.

PennyLane Quantum Computing

Enables building, training, and optimizing quantum circuits and hybrid quantum-classical machine learning models with automatic differentiation.

Scientific Peer Review

Evaluates scientific manuscripts and grant proposals for methodological rigor, statistical accuracy, and reporting standards.

TorchDrug for Molecular Science

Accelerates drug discovery and molecular modeling using graph neural networks and curated biological datasets within PyTorch.

Scikit-learn Machine Learning

Builds, evaluates, and deploys production-ready machine learning models using the industry-standard Python scikit-learn library.

UMAP-Learn

Simplifies high-dimensional data visualization and preprocessing using the Uniform Manifold Approximation and Projection (UMAP) algorithm.

Zarr Python Array Storage

Optimizes large-scale N-dimensional array storage and processing using chunked, compressed formats for cloud-native scientific computing.

Matplotlib Visualization

Generates publication-quality charts and scientific visualizations using Python's foundational plotting library.

RCSB PDB Structure Access

Enables seamless programmatic access to the RCSB Protein Data Bank for searching, retrieving, and analyzing 3D molecular structures.

Hugging Face Transformers

Integrates the Hugging Face Transformers library for seamless implementation of pre-trained models across NLP, vision, and audio domains.

ENA Database Access

Accesses and retrieves nucleotide sequences, raw reads, and genome assemblies from the European Nucleotide Archive for bioinformatics workflows.

GEO Database Access

Integrates with the NCBI Gene Expression Omnibus (GEO) to search, download, and analyze high-throughput functional genomics datasets.

GWAS Database Explorer

Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant-trait associations and summary statistics.

Gene Database

Queries the NCBI Gene database to retrieve comprehensive genomic information, including sequences, annotations, and functional data.

KEGG Database Connector

Facilitates direct REST API access to the KEGG database for bioinformatics research, pathway analysis, and gene mapping.

ZINC Database Explorer

Accesses the ZINC database of 230M+ purchasable compounds for drug discovery, molecular docking, and chemical informatics.

HMDB Scientific Database Access

Access and interpret the Human Metabolome Database for metabolite identification, biomarker discovery, and clinical chemistry research.

LangChain4J Vector Stores Configuration

Configures and optimizes vector databases for Retrieval-Augmented Generation (RAG) applications using the LangChain4J framework.

Spark Optimization Pro

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

LLM Evaluation Framework

Implements systematic evaluation strategies for AI applications using automated metrics, human feedback loops, and LLM-as-judge patterns.

Hybrid Search Implementation

Combines semantic vector similarity with keyword-based retrieval to maximize search recall and accuracy in AI applications.

RAG System Implementation

Builds robust Retrieval-Augmented Generation (RAG) systems to ground LLM applications in external knowledge bases and vector databases.

ML Pipeline Workflow Orchestrator

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