探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Access and retrieve comprehensive nucleotide sequence data and metadata from the European Nucleotide Archive (ENA) for bioinformatics pipelines.
Simulates and analyzes quantum mechanical systems using the QuTiP toolbox for both closed and open system dynamics.
Streamlines deep learning development by organizing PyTorch code into scalable, boilerplate-free LightningModules and automated training workflows.
Provides a comprehensive toolkit for rigorous statistical modeling, econometric analysis, and time-series forecasting within the Claude environment.
Generates publication-ready scientific figures and multi-panel layouts using Matplotlib, Seaborn, and Plotly.
Generates visually stunning, research-backed scientific presentations and conference slides with automated image generation and citation management.
Builds, fits, and validates robust Bayesian models using PyMC's modern probabilistic programming interface.
Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant associations, study metadata, and genomic summary statistics.
Provides unified, rapid access to over 20 genomic databases and bioinformatics analysis tools for DNA and protein research.
Runs Python code in the cloud with serverless containers, autoscaling GPUs, and minimal infrastructure management.
Generates professional, publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.
Formulates testable, evidence-based scientific hypotheses and experimental designs from observations or literature synthesis.
Automates liquid handling and laboratory workflows using the Opentrons Protocol API v2 for Flex and OT-2 robots.
Streamlines biomedical data management and genomics workflow automation on the DNAnexus cloud platform.
Queries the NCBI ClinVar database to interpret genetic variant pathogenicity and annotate genomic data for research and medicine.
Manipulates, analyzes, and visualizes phylogenetic and hierarchical trees for genomic research and evolutionary biology.
Accesses the NIH Metabolomics Workbench to query over 4,200 studies, standardize metabolite nomenclature, and perform mass spectrometry searches.
Accesses and analyzes the Ensembl REST API for gene lookups, sequence retrieval, and advanced variant effect predictions in genomic research.
Facilitates collaborative research ideation to generate hypotheses, challenge assumptions, and explore interdisciplinary connections for creative scientific problem-solving.
Generates regulatory-compliant clinical reports and medical documentation with integrated scientific visualizations.
Access and analyze comprehensive FDA regulatory data, including drug safety, medical device clearances, and food recalls through the openFDA API.
Develops and trains Graph Neural Networks (GNNs) for node classification, link prediction, and geometric deep learning tasks.
Performs advanced molecular analysis, manipulation, and chemical informatics tasks using the RDKit toolkit.
Integrates NCBI Gene data access into Claude for querying sequences, functional annotations, and genomic metadata.
Facilitates advanced mass spectrometry data analysis using the Python interface to the OpenMS library for proteomics and metabolomics.
Simplifies graph-based machine learning for drug discovery, protein modeling, and molecular science using the TorchDrug framework.
Evaluates the rigor, methodology, and statistical validity of scientific research using established frameworks like GRADE and Cochrane.
Accesses the world's most comprehensive enzyme database to retrieve kinetic parameters, reaction equations, and biochemical property data.
Performs fast non-linear dimensionality reduction and manifold learning for data visualization and clustering preprocessing.
Accesses USPTO APIs to perform comprehensive patent and trademark searches, retrieve examination histories, and analyze intellectual property data.
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