Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Performs constraint-based metabolic modeling and simulation for systems biology and metabolic engineering applications.
Automates the generation, refinement, and testing of scientific hypotheses using data-driven insights and literature integration.
Generates interactive, publication-quality data visualizations and dashboards using the Plotly Python library.
Processes and analyzes complex physiological signals including ECG, EEG, and EDA using a comprehensive Python toolkit.
Accesses the NIH Metabolomics Workbench to query metabolite data, study metadata, and standardized chemical nomenclature.
Conducts systematic, comprehensive literature reviews across major scientific databases with verified citations and professional document generation.
Accesses and analyzes gene expression and functional genomics data from the NCBI Gene Expression Omnibus repository.
Enables comprehensive materials analysis, crystal structure manipulation, and Materials Project database integration for computational materials science.
Analyzes single-cell omics data using the scvi-tools framework for probabilistic modeling and batch correction.
Builds, optimizes, and executes quantum circuits and algorithms across various hardware backends and simulators.
Searches the arXiv repository to retrieve and summarize the latest scholarly articles in STEM fields.
Streamlines computational molecular biology tasks including sequence analysis, NCBI database queries, and structural bioinformatics using the Biopython toolkit.
Builds complex discrete-event simulations in Python for modeling processes, resource contention, and time-based systems.
Performs exact symbolic mathematical computations including algebra, calculus, and equation solving using the SymPy library.
Implements high-performance semantic vector search and intelligent document retrieval using AgentDB's optimized vector engine.
Processes and prepares gigapixel whole slide images for digital pathology and machine learning workflows.
Automates the submission and validation of protein designs to a cloud-based wet-lab for experimental testing and sequence optimization.
Enables advanced protein engineering through generative design, structure prediction, and high-performance embeddings using ESM3 and ESM C models.
Streamlines protein sequence design and wet-lab validation through automated cloud laboratory testing and sequence optimization.
Builds advanced financial models including DCF analysis, sensitivity testing, and Monte Carlo simulations for data-driven investment decisions.
Searches the arXiv preprint repository for scholarly articles across various scientific and technical domains.
Accesses and analyzes comprehensive pharmaceutical data from the DrugBank database for drug discovery, pharmacology, and interaction research.
Calculates and interprets key financial ratios from company statements to facilitate investment analysis and performance benchmarking.
Applies machine learning to chemistry, materials science, and biology for drug discovery and molecular property prediction.
Parses and writes Flow Cytometry Standard (FCS) files, enabling seamless conversion of biological data into NumPy arrays and dataframes for scientific analysis.
Manages annotated data matrices and single-cell genomics datasets using the AnnData Python framework and scverse ecosystem.
Orchestrates 48+ specialized AI agents for autonomous cryptocurrency trading, market analysis, and backtesting across multiple exchanges.
Enables advanced molecular machine learning and drug discovery workflows using specialized featurizers and graph neural networks.
Searches the arXiv preprint repository for scholarly articles in computer science, physics, mathematics, and quantitative biology.
Access and download somatic mutation data from the COSMIC database for cancer research and bioinformatics pipelines.
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