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。
Evaluates scientific manuscripts and grant proposals using a systematic toolkit for methodology, statistics, and reporting standards.
Implements high-performance reinforcement learning training, custom environments, and optimized vectorization for parallel simulations.
Performs comprehensive exploratory data analysis and generates detailed reports for over 200 scientific file formats.
Integrates Claude Code with the OMERO platform to manage, analyze, and automate microscopy image data workflows via the Python API.
Processes digital pathology whole-slide images for computational research and deep learning dataset preparation.
Generates professional, publication-ready scientific plots and data visualizations using Python's foundational Matplotlib library.
Processes and analyzes mass spectrometry data using Python-based spectral similarity, metadata harmonization, and data filtering tools.
Performs advanced statistical hypothesis testing, regression analysis, and Bayesian modeling with automated assumption checking and APA-style reporting.
Performs comprehensive survival analysis and time-to-event modeling using the scikit-survival library in Python.
Accesses the world's leading protein sequence and functional information resource via the UniProt REST API.
Manages large-scale N-dimensional arrays with chunking, compression, and cloud-native storage for scientific computing.
Generates testable, evidence-based scientific hypotheses and structured experimental designs to accelerate autonomous discovery.
Implements comprehensive machine learning workflows using scikit-learn, covering data preprocessing, model training, evaluation, and pipeline deployment.
Simplifies molecular cheminformatics and drug discovery workflows using a Pythonic abstraction layer over RDKit.
Streamlines deep learning development by organizing PyTorch code into scalable, high-performance Lightning modules and data pipelines.
Accesses global statistical data from Data Commons for demographic, economic, and environmental analysis.
Detects system hardware capabilities and provides optimized computational strategies for scientific and data-intensive tasks.
Automates electronic lab notebook workflows by providing programmatic access to LabArchives for research data management and documentation.
Empowers Claude to create, analyze, and format professional Excel spreadsheets and financial models with automated formula recalculation.
Generates publication-quality scientific diagrams, neural network architectures, and flowcharts using specialized Python libraries.
Accesses the Reactome database to perform biological pathway analysis, gene mapping, and enrichment studies for systems biology.
Performs rigorous statistical modeling and econometric analysis using regression, time series, and diagnostic testing.
Facilitates programmatic access to the ClinicalTrials.gov API v2 for advanced trial discovery, patient matching, and medical research data extraction.
Builds and deploys production-grade bioinformatics pipelines as serverless workflows on the Latch platform.
Streamlines the development, deployment, and management of bioinformatics pipelines and data on the DNAnexus cloud genomics platform.
Facilitates creative scientific problem-solving by generating hypotheses and exploring interdisciplinary connections as a research ideation partner.
Searches and retrieves life sciences preprints from the bioRxiv database by keywords, authors, and categories.
Accesses and analyzes over 240 million scholarly works, authors, and institutions via the OpenAlex API for automated scientific discovery.
Empowers Claude to perform graph-based drug discovery, molecular property prediction, and protein modeling using the TorchDrug framework.
Access and retrieve comprehensive nucleotide sequence data and metadata from the European Nucleotide Archive (ENA).
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