探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Integrates the Reactome database to perform pathway enrichment, gene-pathway mapping, and molecular interaction analysis for systems biology.
Automates Benchling R&D platform operations including biological sequence management, inventory tracking, and electronic lab notebook documentation.
Generates publication-ready scientific figures and multi-panel layouts using Matplotlib, Seaborn, and Plotly.
Programmatically creates, edits, and analyzes PowerPoint presentations with support for scientific schematics and XML-level customization.
Performs professional statistical modeling, hypothesis testing, and rigorous assumption verification with publication-ready APA reporting.
Facilitates collaborative research ideation to generate hypotheses, challenge assumptions, and explore interdisciplinary connections for creative scientific problem-solving.
Streamlines high-throughput sequencing data analysis by providing tools for BAM processing, quality control, and publication-quality genomic visualizations.
Queries the NCBI ClinVar database to interpret genetic variant pathogenicity and annotate genomic data for research and medicine.
Provides unified, rapid access to over 20 genomic databases and bioinformatics analysis tools for DNA and protein research.
Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant associations, study metadata, and genomic summary statistics.
Generates interactive, publication-quality scientific and statistical charts using the Plotly Python library.
Formulates testable, evidence-based scientific hypotheses and experimental designs from observations or literature synthesis.
Generates publication-ready scientific diagrams and architectures with automated quality review and iterative refinement.
Performs comprehensive single-cell RNA-seq analysis workflows including quality control, normalization, clustering, and cell-type annotation.
Generates comprehensive, consultant-grade market research reports with professional LaTeX formatting and integrated strategic visualizations.
Converts complex documents, images, and multimedia files into clean, token-efficient Markdown for optimized LLM processing.
Generates professional, publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.
Processes and analyzes mass spectrometry data using the Matchms library for spectral similarity and metadata harmonization.
Converts chemical structures into high-dimensional numerical representations for molecular machine learning and QSAR modeling.
Accesses the NIH Metabolomics Workbench to query over 4,200 studies, standardize metabolite nomenclature, and perform mass spectrometry searches.
Generates professional-grade scientific plots and data visualizations using Python's foundational Matplotlib library.
Streamlines high-density neural recording analysis, spike sorting, and quality metric computation for Neuropixels electrophysiology data.
Builds, analyzes, and visualizes complex networks and graph data structures using the comprehensive NetworkX library for Python.
Simplifies graph-based machine learning for drug discovery, protein modeling, and molecular science using the TorchDrug framework.
Runs Python code in the cloud with serverless containers, autoscaling GPUs, and minimal infrastructure management.
Accesses the Human Metabolome Database (HMDB) to retrieve comprehensive data on small molecule metabolites, clinical biomarkers, and biochemical pathways.
Analyzes protein-protein interaction networks and performs functional enrichment using the STRING database's 20 billion interactions.
Builds and deploys serverless bioinformatics pipelines using the Latch SDK and cloud infrastructure.
Accesses and analyzes over 61 million standardized single-cell genomics records from the CZ CELLxGENE Census.
Integrates the world's most comprehensive cancer mutation database into your research workflow to query somatic mutations, signatures, and gene census data.
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