Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
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).
Infers gene regulatory networks from transcriptomics data using scalable algorithms like GRNBoost2 and GENIE3.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Enables advanced searching and programmatic retrieval of biomedical literature from the PubMed database using E-utilities and MeSH terms.
Provides comprehensive tools for materials analysis, crystal structure manipulation, and Materials Project database integration.
Accesses, searches, and retrieves gene expression and functional genomics data from the NCBI Gene Expression Omnibus (GEO).
Analyzes and visualizes complex graph data structures using the comprehensive Python NetworkX library.
Integrates comprehensive pharmaceutical data from DrugBank for drug discovery, pharmacology research, and safety analysis.
Processes and analyzes complex mass spectrometry data for proteomics and metabolomics workflows using the PyOpenMS library.
Generates professional, publication-ready clinical decision support documents and biomarker-stratified cohort analyses in LaTeX format.
Manages and analyzes annotated data matrices for single-cell genomics and large-scale biological datasets.
Processes and analyzes high-throughput sequencing data to generate publication-quality genomic visualizations and quality control reports.
Retrieves genomic, proteomic, and structural data from over 20 biological databases using a unified interface.
Applies medicinal chemistry filters and drug-likeness rules to prioritize compound libraries for autonomous discovery.
Accelerates high-performance data analysis and manipulation using the lightning-fast Polars DataFrame library.
Processes and analyzes massive tabular datasets exceeding available RAM using lazy, out-of-core DataFrame operations.
Performs exact symbolic mathematics in Python, including algebraic solving, calculus, and matrix manipulations.
Models complex systems using process-based discrete-event simulation to optimize resources, queues, and time-based workflows.
Automates electronic lab notebook workflows by providing programmatic access to LabArchives for research data management and documentation.
Conducts systematic, rigorous reviews of scientific manuscripts and grant proposals by evaluating methodology, statistics, and reporting standards.
Accesses global statistical data from Data Commons for demographic, economic, and environmental analysis.
Performs advanced statistical hypothesis testing, regression analysis, and Bayesian modeling with automated assumption checking and APA-style reporting.
Generates testable, evidence-based scientific hypotheses and structured experimental designs to accelerate autonomous discovery.
Evaluates scientific manuscripts and grant proposals using a systematic toolkit for methodology, statistics, and reporting standards.
Streamlines the development, deployment, and management of bioinformatics pipelines and data on the DNAnexus cloud genomics platform.
Explores and maps complex codebases using AST analysis to reduce token usage by 95% while maintaining structural visibility.
Performs comprehensive exploratory data analysis and generates detailed reports for over 200 scientific file formats.
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