探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Converts diverse file formats including PDFs, Office documents, and media into LLM-optimized Markdown for seamless data ingestion.
Provides programmatic access to over 40 bioinformatics web services for automated biological data retrieval and pathway analysis.
Queries the STRING database for protein-protein interaction networks, functional enrichment, and biological pathway analysis.
Generates professional, production-grade PDF documents including reports, invoices, and data visualizations using the ReportLab Python toolkit.
Performs high-performance nonlinear dimensionality reduction for data visualization and clustering preprocessing using the UMAP algorithm.
Develops and trains Graph Neural Networks (GNNs) for analyzing irregular data structures and relational datasets.
Facilitates molecular property prediction and drug discovery through specialized machine learning models and chemical data featurization.
Queries the ChEMBL database for bioactive molecules, drug targets, and medicinal chemistry bioactivity data.
Researches academic literature, technical documentation, and scientific data with automatic model selection and citation support.
Empowers Claude to perform graph-based drug discovery, molecular property prediction, and protein modeling using the TorchDrug framework.
Accesses and analyzes 3D protein and nucleic acid structures from the RCSB Protein Data Bank for structural biology and drug discovery.
Queries the NCBI Gene database to retrieve comprehensive genetic information, sequences, and functional annotations for biological research.
Evaluates research rigor, methodology, and statistical validity using standardized frameworks like GRADE and Cochrane ROB.
Processes and analyzes high-throughput sequencing data to generate publication-quality genomic visualizations and quality control reports.
Integrates Hugging Face Transformers to load, fine-tune, and run inference on thousands of pre-trained AI models across multiple modalities.
Accesses and analyzes comprehensive USPTO patent and trademark data for intellectual property research and prior art discovery.
Queries the NCBI ClinVar database to retrieve, interpret, and process human genetic variant clinical significance data.
Automates laboratory equipment and workflows using a hardware-agnostic Python interface for liquid handlers, plate readers, and more.
Accesses the KEGG REST API to perform biological pathway analysis, gene mapping, and molecular interaction research.
Accesses and analyzes over 61 million standardized single-cell genomics records from the CZ CELLxGENE Discover census.
Generates journal-ready scientific figures and multi-panel layouts following publication-quality standards.
Conducts systematic, rigorous reviews of scientific manuscripts and grant proposals by evaluating methodology, statistics, and reporting standards.
Automates laboratory workflows by writing and simulating Opentrons Python Protocol API v2 for Flex and OT-2 robots.
Manages scientific protocols on protocols.io, enabling discovery, creation, publication, and collaborative lab documentation.
Accesses and queries the Ensembl REST API for genomic research, gene annotation, and variant analysis across 250+ species.
Generates testable scientific hypotheses and detailed experimental designs based on observations and literature evidence.
Access and retrieve comprehensive nucleotide sequence data and metadata from the European Nucleotide Archive (ENA).
Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant associations, study metadata, and polygenic risk score data.
Queries the Open Targets Platform to identify and prioritize therapeutic drug targets using genetic, omic, and clinical evidence.
Evaluates scientific research rigor, methodology, and statistical validity using evidence-based frameworks like GRADE and Cochrane.
Scroll for more results...