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。
Automates complex scientific research workflows and tool discovery across bioinformatics, genomics, and drug discovery domains.
Executes Python code in serverless cloud containers with automatic scaling and high-performance GPU support.
Simplifies high-performance computational fluid dynamics (CFD) simulations and analysis using Python and pseudospectral methods.
Streamlines astronomical data analysis and astrophysical calculations using the core Astropy Python library.
Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Accesses the Human Metabolome Database to retrieve metabolite properties, clinical biomarker data, and spectral information for metabolomics research.
Accesses and analyzes the Human Metabolome Database to retrieve detailed metabolite information, chemical properties, and clinical biomarkers.
Accesses and integrates data from over 40 bioinformatics web services and databases using a unified Python API.
Develops and deploys specialized machine learning models for healthcare using clinical datasets and medical coding systems.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank including drug properties, interactions, and molecular structures.
Trains and deploys sophisticated neural network architectures across distributed E2B sandbox environments.
Processes and analyzes high-throughput sequencing data to generate publication-quality genomic visualizations and quality control metrics.
Builds end-to-end MLOps pipelines for data preparation, model training, validation, and production deployment.
Transforms, cleans, and reshapes complex datasets locally using industry-standard Python libraries like pandas and numpy.
Analyzes Excel spreadsheets, generates pivot tables, and creates data visualizations using Python libraries like pandas and openpyxl.
Retrieves genomic, transcriptomic, and proteomic data from 20+ bioinformatics databases using a unified interface.
Integrates the open-source embedding database to build AI-native applications with semantic search and retrieval-augmented generation (RAG) capabilities.
Accesses and analyzes the Human Metabolome Database to retrieve metabolite data, chemical properties, and clinical biomarkers.
Simplifies PDF manipulation, data extraction, and document generation using industry-standard Python libraries and CLI tools.
Processes and analyzes high-performance genomic interval data using Rust-powered algorithms and Python bindings.
Access over 40 bioinformatics web services and databases including UniProt, KEGG, and ChEMBL through a unified Python interface.
Queries the NCBI Gene database to retrieve comprehensive genetic information, metadata, and sequences for annotation and functional analysis.
Queries NCBI Gene databases to retrieve comprehensive genomic data, including sequences, annotations, and functional pathways.
Processes and generates multimedia content including audio, video, images, and documents using the Google Gemini API.
Interfaces with the European Nucleotide Archive to programmatically retrieve DNA/RNA sequences, raw reads, and genome metadata.
Accesses and retrieves genomic data, including DNA/RNA sequences and raw reads, from the European Nucleotide Archive (ENA) via REST APIs and FTP.
Analyzes single-cell omics data using deep generative models for batch correction, integration, and differential expression.
Empowers AI agents to conduct complex scientific research by providing standardized access to over 600 specialized tools across bioinformatics, genomics, and drug discovery.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, food safety, and substances through the openFDA API.
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