Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.
Accesses and retrieves nucleotide sequences, raw reads, and genomic metadata from the European Nucleotide Archive (ENA).
Connects Claude to the NIH Metabolomics Workbench for comprehensive access to metabolite data, study metadata, and mass spectrometry search capabilities.
Provides rapid access to 20+ genomic databases and bioinformatics tools for gene searching, sequence alignment, and protein structure prediction.
Create publication-quality statistical graphics and complex data visualizations using the Seaborn Python library.
Manages and tracks machine learning model versions, performance metrics, and lineage directly within Claude Code.
Applies medicinal chemistry rules and structural filters to prioritize and triage molecular libraries for drug discovery.
Performs advanced materials analysis, crystal structure manipulation, and Materials Project database integration for computational scientists.
Organizes and scales PyTorch code into modular, high-performance deep learning workflows with minimal boilerplate.
Accesses the ZINC repository of over 230 million purchasable compounds to streamline virtual screening and drug discovery workflows.
Automates image analysis, object detection, and classification workflows directly within Claude Code.
Generates standardized, regulatory-compliant clinical documentation and medical reports following global healthcare guidelines.
Generates publication-quality scientific visualizations and complex multi-panel plots using Python's foundational Matplotlib library.
Performs exact symbolic mathematics in Python, including calculus, algebra, and complex equation solving.
Orchestrates end-to-end MLOps pipelines from data preparation and model training through to production deployment and monitoring.
Generates professional Excel pivot tables and visualizations from raw data using simple natural language commands.
Queries the NHGRI-EBI GWAS Catalog for genetic variant associations, study metadata, and summary statistics.
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to producing publication-ready LaTeX papers.
Productionizes machine learning models and builds scalable MLOps systems with world-class engineering standards.
Provides a comprehensive toolkit for time series machine learning including classification, forecasting, and anomaly detection using scikit-learn compatible APIs.
Predicts future values and identifies patterns in historical time-dependent data using advanced statistical models.
Automates complex Google Vertex AI multimodal operations for advanced video processing, high-fidelity image generation, and end-to-end marketing campaign orchestration.
Detects and manages duplicate or near-duplicate images in FiftyOne datasets using advanced brain similarity computations.
Automates regression modeling and data analysis to identify relationships between variables and predict future trends.
Optimizes Large Language Model prompts to minimize token usage, reduce operational costs, and enhance response quality.
Converts chemical structures into numerical representations for machine learning using over 100 specialized featurizers.
Visualizes computer vision datasets in 2D using dimensionality reduction to explore data structure, clusters, and outliers.
Enforces official Voxel51 and FiftyOne Python coding conventions for consistent and maintainable development.
Analyzes, manipulates, and visualizes phylogenetic and hierarchical trees for genomic research and bioinformatics.
Builds custom FiftyOne operators and interactive panels to extend computer vision data workflows.
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