Explore our collection of Agent Skills to enhance your AI workflow.
Applies medicinal chemistry filters and drug-likeness rules to prioritize compound libraries for autonomous discovery.
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.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Implements comprehensive machine learning workflows using scikit-learn, covering data preprocessing, model training, evaluation, and pipeline deployment.
Performs high-performance nonlinear dimensionality reduction for data visualization and clustering preprocessing using the UMAP algorithm.
Drafts, structures, and refines professional scientific manuscripts using standardized research formats and reporting guidelines.
Generates professional, production-grade PDF documents including reports, invoices, and data visualizations using the ReportLab Python toolkit.
Provides comprehensive cheminformatics capabilities for molecular analysis, manipulation, and property calculation within Claude Code.
Automates scientific hypothesis generation and empirical testing by synthesizing observational data with research literature.
Analyzes and visualizes phylogenetic trees with support for evolutionary event detection and NCBI taxonomy integration.
Automates laboratory equipment and workflows using a hardware-agnostic Python interface for liquid handlers, plate readers, and more.
Provides programmatic access to over 40 bioinformatics web services for automated biological data retrieval and pathway analysis.
Accesses the KEGG REST API to perform biological pathway analysis, gene mapping, and molecular interaction research.
Queries the STRING database for protein-protein interaction networks, functional enrichment, and biological pathway analysis.
Manages biological datasets with automated lineage tracking, ontology-based curation, and FAIR-compliant data lakehouse capabilities.
Accelerates genomic interval analysis and machine learning preprocessing using a high-performance Rust toolkit with Python bindings.
Writes professional scientific manuscripts using IMRAD structure, academic citations, and standardized reporting guidelines with flowing prose.
Accesses comprehensive pharmacogenomic data for precision medicine, including gene-drug interactions and CPIC clinical guidelines.
Accesses and analyzes over 61 million standardized single-cell genomics records from the CZ CELLxGENE Discover census.
Accesses the Reactome database to perform biological pathway analysis, gene mapping, and enrichment studies for systems biology.
Models complex systems using process-based discrete-event simulation to optimize resources, queues, and time-based workflows.
Accesses and analyzes over 240 million scholarly works, authors, and institutions via the OpenAlex API for automated scientific discovery.
Retrieves genomic, proteomic, and structural data from over 20 biological databases using a unified interface.
Generates journal-ready scientific figures and multi-panel layouts following publication-quality standards.
Automates laboratory workflows by writing and simulating Opentrons Python Protocol API v2 for Flex and OT-2 robots.
Performs comprehensive bioinformatics analysis including sequence manipulation, phylogenetics, and microbial ecology statistics within Python.
Manages scientific protocols on protocols.io, enabling discovery, creation, publication, and collaborative lab documentation.
Empowers Claude to perform graph-based drug discovery, molecular property prediction, and protein modeling using the TorchDrug framework.
Infers gene regulatory networks from transcriptomics data using scalable algorithms like GRNBoost2 and GENIE3.
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