Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Conducts systematic, high-rigor peer reviews of scientific manuscripts and grant proposals across all major research disciplines.
Evaluates research papers and scholarly work using the ScholarEval framework to provide structured quality assessments and actionable feedback.
Facilitates programmatic access to the ClinicalTrials.gov API v2 to search, filter, and export global clinical study data for research and patient matching.
Manages large-scale N-dimensional arrays with chunking, compression, and cloud-native storage integration.
Accelerates drug discovery and molecular science workflows using graph neural networks and PyTorch-based modeling.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Access and analyze genomic variant clinical significance data from NCBI's ClinVar archive.
Accesses and analyzes RCSB Protein Data Bank (PDB) structures, metadata, and 3D coordinates for structural biology and drug discovery research.
Accesses comprehensive pharmacogenomics data including gene-drug interactions, CPIC guidelines, and allele functions for precision medicine.
Creates, edits, and analyzes Excel spreadsheets with production-grade formulas, formatting, and scientific visualizations.
Performs comprehensive statistical testing, hypothesis verification, and research data modeling using Python's scientific ecosystem.
Simulates and analyzes closed and open quantum systems using the Quantum Toolbox in Python (QuTiP).
Queries the PubChem database to retrieve chemical properties, perform structure searches, and access bioactivity data for over 110 million compounds.
Reads, manipulates, and writes genomic datasets including BAM, VCF, and FASTA files using a Pythonic interface to htslib.
Queries the NHGRI-EBI GWAS Catalog for SNP-trait associations, genetic variants, and summary statistics to support genetic epidemiology and polygenic risk score development.
Generates publication-quality scientific diagrams and architectural schematics using AI-driven iterative refinement and quality auditing.
Performs comprehensive biological data analysis including sequence manipulation, phylogenetics, and microbial ecology statistics.
Facilitates systems biology research by querying the Reactome REST API for pathway analysis, gene mapping, and molecular interactions.
Automates electronic lab notebook management through the LabArchives REST API for research documentation, data backups, and tool integration.
Integrates OMERO microscopy data management with Python for advanced image analysis, metadata handling, and automated screening workflows.
Generates publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.
Accesses and processes NCBI Gene Expression Omnibus (GEO) data for transcriptomics and functional genomics research.
Facilitates automated queries to the Ensembl REST API for gene annotation, sequence retrieval, and comparative genomic analysis across 250+ species.
Analyzes mass spectrometry data using Python bindings for OpenMS to process complex proteomics and metabolomics workflows.
Develop and train Graph Neural Networks using PyTorch Geometric for node classification, link prediction, and molecular modeling.
Accesses the Human Metabolome Database to retrieve chemical, clinical, and spectroscopic data for over 220,000 metabolites.
Accesses and analyzes protein-protein interaction networks and functional enrichment data using the STRING API.
Accesses the ZINC database of 230M+ purchasable compounds for virtual screening, drug discovery, and molecular docking studies.
Streamlines deep learning development by organizing PyTorch code into scalable, modular structures for automated training and multi-GPU orchestration.
Queries the Open Targets Platform to identify therapeutic drug targets and analyze disease-target associations using human genetics and omics data.
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