发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Automates scientific hypothesis generation and testing by combining observational data with research literature using large language models.
Queries the ClinicalTrials.gov API to search for medical studies, retrieve trial details, and export structured clinical research data.
Accesses the Catalogue of Somatic Mutations in Cancer (COSMIC) to retrieve somatic mutations, gene fusions, and mutational signatures for oncology research.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank, including drug properties, interactions, targets, and chemical structures.
Provides a unified Python interface for accessing over 40 major bioinformatics web services and databases including UniProt, KEGG, and ChEMBL.
Generates publication-quality scientific visualizations and data plots locally using Python's Matplotlib and Seaborn libraries.
Interfaces with the European Nucleotide Archive to programmatically retrieve DNA/RNA sequences, raw reads, and genome metadata.
Automates end-to-end scientific research workflows from initial data analysis to publication-ready LaTeX manuscripts.
Predicts 3D protein-ligand binding poses using diffusion-based deep learning for structure-based drug design.
Accesses the NIH Metabolomics Workbench REST API to query metabolite structures, experimental studies, and mass spectrometry data.
Facilitates creative scientific research ideation through collaborative hypothesis generation and interdisciplinary connection mapping.
Builds high-performance Retrieval-Augmented Generation systems using vector databases, semantic search, and advanced retrieval patterns.
Queries and analyzes clinical trial data from the official ClinicalTrials.gov API v2 for research and patient matching.
Queries the Ensembl REST API to retrieve gene annotations, sequences, variants, and comparative genomics data for over 250 species.
Builds end-to-end MLOps pipelines for data preparation, model training, validation, and production deployment.
Trains and deploys sophisticated neural network architectures across distributed E2B sandbox environments.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank including drug properties, interactions, and molecular structures.
Builds end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Processes and analyzes comprehensive physiological signals including ECG, EEG, and EDA for psychophysiology and clinical research.
Automates end-to-end scientific research workflows from initial data analysis and hypothesis generation to the production of publication-ready LaTeX manuscripts.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Integrates Reactome's open-source curated pathway database for biological pathway analysis, gene mapping, and systems biology research.
Generates rigorous, testable scientific hypotheses and detailed experimental designs based on observations and existing literature.
Implements ultra-high-performance semantic vector search and document retrieval for Claude-powered RAG systems and intelligent knowledge bases.
Generates professional, multi-page PDF reports with formatted text, tables, and embedded visualizations using the ReportLab library.
Processes and analyzes mass spectrometry data using Python-based spectral similarity metrics and metadata harmonization.
Trains and deploys distributed neural networks within secure E2B sandbox environments using the Flow Nexus framework.
Automates Next-Generation Sequencing (NGS) data processing, quality control, and publication-quality visualization.
Enables advanced protein engineering, sequence generation, and structure prediction using Evolutionary Scale Modeling.
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