Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Accesses the UniProt REST API to search, retrieve, and map protein sequence and functional data directly within scientific workflows.
Accesses over 230 million purchasable chemical compounds for virtual screening, drug discovery, and molecular docking studies.
Builds and deploys serverless bioinformatics pipelines using the Latch SDK and cloud infrastructure.
Streamlines biomedical data management and genomics workflow automation on the DNAnexus cloud platform.
Explains machine learning model predictions and feature importance using Shapley values for improved transparency and debugging.
Implements, fine-tunes, and deploys pre-trained transformer models for natural language processing, computer vision, and audio tasks.
Accelerates reinforcement learning workflows through high-performance training, optimized environment vectorization, and seamless multi-agent integration.
Processes and visualizes billion-row tabular datasets exceeding available RAM through lazy, out-of-core DataFrame operations.
Processes digital pathology whole slide images (WSI) through automated tissue detection, tile extraction, and specialized image preprocessing.
Performs advanced survival analysis and time-to-event modeling in Python using specialized machine learning techniques for censored data.
Manages biological datasets with end-to-end lineage tracking, ontology-based curation, and FAIR data principles using a unified Python API.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank including molecular structures, drug interactions, targets, and pharmacological properties.
Processes and analyzes physiological signals like ECG, EEG, and EDA to extract research-grade biometrics and psychophysiological insights.
Implements reinforcement learning workflows including agent training, custom environment design, and parallelized experimentation using the Stable Baselines3 library.
Provides specialized algorithms and workflows for comprehensive time series analysis, including classification, forecasting, and anomaly detection.
Executes complex autonomous biomedical research tasks across genomics, drug discovery, and clinical analysis using integrated databases and code execution.
Executes exact symbolic mathematics in Python to solve equations, perform calculus, and manipulate algebraic expressions with mathematical precision.
Automates the end-to-end scientific research lifecycle from data-driven hypothesis generation to the production of publication-ready LaTeX manuscripts.
Detects system hardware capabilities and generates strategic recommendations for optimized scientific computing and data processing tasks.
Generates and tests scientific hypotheses from observational data and research literature to accelerate empirical discovery and predictive modeling.
Generates and designs novel proteins using evolutionary scale language models for sequence, structure, and functional analysis.
Models complex discrete-event systems where entities interact with shared resources over time using process-based Python simulations.
Queries and analyzes millions of scholarly works, authors, and institutions using the OpenAlex API to facilitate comprehensive bibliometric research.
Manages and analyzes annotated data matrices for single-cell genomics and large-scale biological datasets in Python.
Designs, simulates, and executes quantum circuits across diverse hardware backends and simulators using Google's open-source framework.
Facilitates advanced astronomical research and data analysis using Python for coordinate transformations, FITS file manipulation, and cosmological calculations.
Analyzes whole-slide pathology images and multiparametric imaging data using advanced machine learning, spatial graph construction, and automated preprocessing pipelines.
Analyzes single-cell genomics data using probabilistic deep generative models for tasks like batch correction, cell type annotation, and multi-omic integration.
Develops, tests, and deploys healthcare-specific machine learning models using clinical data, medical coding systems, and physiological signals.
Provides programmatic access to global statistical data, demographics, and economic indicators via the Data Commons knowledge graph.
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