data science & ml向けのClaudeスキルを発見してください。61個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Accesses and analyzes NCBI Gene Expression Omnibus (GEO) datasets for transcriptomics and functional genomics research.
Provides a rapid diagnostic summary of Sparse Autoencoder (SAE) features to generate research hypotheses and identify model behaviors.
Simplifies retrieval of nucleotide sequences, raw reads, and genome assemblies from the European Nucleotide Archive for bioinformatics pipelines.
Accesses and queries the Human Metabolome Database to retrieve detailed information on over 220,000 metabolites for research and analysis.
Accesses and retrieves genomic data from the European Nucleotide Archive for bioinformatics research and pipelines.
Connects Claude to the European Nucleotide Archive (ENA) for retrieving genomic sequences, raw reads, and metadata.
Provides programmatic access to over 40 bioinformatics web services and databases for integrated biological data analysis.
Provides programmatic access to over 40 bioinformatics web services and databases for integrated biological data analysis and workflow automation.
Automates laboratory workflows and controls hardware like liquid handlers, plate readers, and incubators using a unified Python interface.
Performs advanced molecular analysis, property calculation, and structural manipulation for cheminformatics workflows.
Detects structural breaks and regime shifts in financial time-series using Gaussian Process models to identify market transitions.
Categorizes text, detects sentiment, and filters spam using pre-trained and custom-trained machine learning models.
Performs advanced single-cell omics data analysis using probabilistic models for RNA-seq, ATAC-seq, and spatial transcriptomics.
Processes and analyzes physiological biosignals including ECG, EEG, EDA, and respiratory patterns for psychophysiology and clinical research.
Analyzes and processes complex physiological signals like ECG, EEG, and EDA using the comprehensive NeuroKit2 Python library.
Processes and analyzes diverse physiological signals including heart rate, brain activity, and respiratory patterns for research and clinical applications.
Infers gene regulatory networks (GRNs) from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.
Builds and deploys healthcare machine learning models using specialized tools for EHR data, clinical tasks, and medical coding systems.
Predicts 3D protein-ligand binding poses using state-of-the-art diffusion-based deep learning models for structure-based drug design.
Simplifies the development and deployment of machine learning models for clinical data and healthcare applications.
Performs advanced molecular manipulation, chemical property calculation, and 3D coordinate generation for cheminformatics workflows.
Processes digital pathology whole slide images (WSI) for tissue detection, tile extraction, and deep learning dataset preparation.
Facilitates professional-grade astronomical data analysis and astrophysical calculations using the core Astropy Python library.
Integrates Pinecone's managed vector database into your AI workflows to enable high-performance RAG, semantic search, and recommendation systems.
Ranks and filters retrieved documents based on vector similarity metrics to optimize RAG pipeline relevance.
Architects and implements sophisticated graph-based AI agents and multi-agent workflows using LangGraph.
Master the core principles and mechanics of context management to build more efficient and accurate AI agent architectures.
Implements robust document attribution and Retrieval-Augmented Generation (RAG) patterns for verifiable AI responses.
Quantifies Shanghai silver inventory depletion using 3D metrics to identify supply tightening signals for macro analysis.
Processes and analyzes astronomical data using the Astropy library for coordinate transformations, cosmology, and FITS file management.
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