Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Converts diverse file formats including PDFs, Office documents, and media into LLM-optimized Markdown for AI processing.
Accelerates reinforcement learning development with high-speed parallel environment simulation and optimized PPO training.
Manages large-scale N-dimensional arrays with efficient chunking, compression, and cloud-native storage integration.
Performs rigorous statistical modeling, econometric analysis, and hypothesis testing using Python's premier inference toolkit.
Provides unified, high-speed access to 20+ genomic databases and protein structure prediction tools directly from the command line.
Analyzes single-cell omics data using deep generative models and probabilistic frameworks for batch correction and multimodal integration.
Implements and fine-tunes state-of-the-art machine learning models for natural language processing, computer vision, and audio tasks.
Powers protein engineering workflows with state-of-the-art generative design, structure prediction, and high-quality sequence embeddings.
Accesses and retrieves nucleotide sequence data, raw reads, and genome assemblies from the European Nucleotide Archive.
Accesses the Human Metabolome Database (HMDB) to retrieve detailed information on over 220,000 human metabolites, including chemical properties, clinical biomarkers, and spectral data.
Queries and retrieves comprehensive genetic data from NCBI using E-utilities and Datasets APIs for biological research and gene annotation.
Performs exact symbolic mathematics, calculus, and algebraic computations in Python to provide precise mathematical results.
Accesses the ZINC repository of 230M+ purchasable compounds for virtual screening, drug discovery, and molecular property analysis.
Queries the STRING API to analyze protein-protein interaction networks and perform functional enrichment for systems biology.
Facilitates advanced biomedical literature research and programmatic access to the National Library of Medicine's PubMed database via E-utilities.
Builds and manages process-based discrete-event simulations in Python to model complex systems like manufacturing, logistics, and network traffic.
Accesses ChEMBL's vast repository of bioactive molecules and drug discovery data for medicinal chemistry and pharmacology research.
Provides programmatic access to comprehensive pharmacogenomics data for precision medicine, clinical guidelines, and gene-drug interaction analysis.
Develops and trains Graph Neural Networks (GNNs) for complex data structures like social networks, molecules, and 3D point clouds.
Provides programmatic access to standardized single-cell genomics data for large-scale analysis and machine learning.
Automates electronic lab notebook workflows by managing entries, attachments, and backups through the LabArchives REST API.
Accesses and queries the world's largest chemical database for compound information, molecular properties, and bioactivity data.
Generates publication-quality statistical graphics and exploratory data visualizations using the Seaborn Python library.
Simplifies complex time series machine learning tasks including forecasting, classification, and anomaly detection using a scikit-learn compatible toolkit.
Searches and retrieves metadata and full-text PDFs from the bioRxiv preprint server for life sciences research discovery.
Analyzes and processes high-performance genomic interval data for computational biology and machine learning workflows.
Processes medical imaging data in the DICOM standard format for healthcare applications and radiology workflows.
Builds, fits, and validates Bayesian statistical models using PyMC and ArviZ for probabilistic programming.
Accesses and analyzes over 200 million AI-predicted protein structures from the AlphaFold DB for drug discovery and structural biology research.
Accesses and analyzes comprehensive vertebrate genomic data from the Ensembl REST API for over 250 species.
Scroll for more results...