Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Accesses the UniProt REST API to perform comprehensive protein searches, sequence retrieval, and cross-database identifier mapping.
Accesses the Kyoto Encyclopedia of Genes and Genomes (KEGG) REST API for biological pathway analysis and molecular interaction mapping.
Queries the openFDA API to retrieve comprehensive data on drugs, medical devices, foods, and regulatory actions for safety research and analysis.
Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variants, SNP-trait associations, and comprehensive genomic summary statistics.
Accesses and processes NCBI Gene Expression Omnibus (GEO) datasets for transcriptomics and functional genomics analysis.
Automates the end-to-end scientific research pipeline from initial hypothesis generation to publication-ready LaTeX manuscripts.
Accesses and queries the Catalogue of Somatic Mutations in Cancer (COSMIC) to retrieve genomic data, mutational signatures, and cancer gene census information.
Enables seamless programmatic access to UniProt for protein sequence retrieval, functional annotation, and biological database ID mapping.
Accesses over 600 scientific tools and datasets to automate research workflows across bioinformatics, genomics, and drug discovery.
Processes and analyzes physiological signals including ECG, EEG, and EDA for psychophysiology research and clinical applications.
Generates publication-quality static, animated, and interactive visualizations using Python's foundational plotting library.
Manipulates, analyzes, and visualizes phylogenetic trees with support for evolutionary event detection and NCBI taxonomy integration.
Processes and visualizes high-throughput sequencing data (NGS) including ChIP-seq, RNA-seq, and ATAC-seq workflows.
Performs advanced biological computation and molecular biology workflows using the Biopython toolkit.
Transforms academic papers into interactive websites, professional presentation videos, and print-ready conference posters.
Evaluates scientific manuscripts and grant proposals using systematic methodology, statistical rigor, and ethical standards.
Streamlines the implementation, evaluation, and deployment of classical machine learning models using the scikit-learn library.
Facilitates machine learning for drug discovery using a PyTorch-based toolkit for molecular property prediction, protein modeling, and retrosynthesis.
Performs comprehensive single-cell RNA-seq analysis workflows including quality control, clustering, and cell type annotation.
Performs fast nonlinear dimensionality reduction and manifold learning for high-dimensional data visualization and clustering.
Provides programmatic Python access to over 40 bioinformatics web services for biological data retrieval and pathway analysis.
Enables high-performance data manipulation and analysis using the Polars DataFrame library's lightning-fast expression API.
Accelerates scientific discovery by automatically generating, testing, and refining hypotheses from datasets and research literature using LLMs.
Applies machine learning to genomic interval data for training region embeddings, analyzing scATAC-seq, and building consensus peak universes.
Analyzes biological data using specialized tools for sequence manipulation, phylogenetics, and microbial ecology metrics.
Processes and analyzes biological data using scikit-bio for sequence alignment, phylogenetics, and microbiome diversity studies.
Integrates Claude with the OMERO platform to manage, analyze, and automate bioimaging data workflows using the Python API.
Provides a comprehensive Clojure library for symbolic mathematics, automatic differentiation, and classical mechanics simulation based on SICM concepts.
Performs constraint-based metabolic modeling and systems biology simulations using the COBRApy Python library.
Implements reinforcement learning workflows using Stable Baselines3 for training agents, creating environments, and optimizing deep RL models.
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