Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Calculates probability-weighted outcomes to facilitate rational decision-making under uncertainty for investments, product development, and strategic initiatives.
Guides machine learning engineers through identifying data symmetries and physical constraints to optimize model architectures.
Guides the planning, parameter selection, and documentation of LLM fine-tuning and evaluation experiments.
Optimizes Mojo tensor and array operations using SIMD vectorization to maximize computational throughput on modern hardware.
Extracts and structures algorithm pseudocode from academic research papers into actionable implementation plans.
Performs advanced molecular modeling, chemical property calculation, and substructure analysis using the RDKit toolkit.
Parses and creates Flow Cytometry Standard (FCS) files for seamless integration with Python data science workflows.
Accesses the RCSB Protein Data Bank to search, retrieve, and analyze 3D structural data for biological macromolecules.
Applies unsupervised machine learning models to genomic interval data for embedding, clustering, and bioinformatics analysis.
Performs advanced chemical data analysis, molecular manipulation, and property calculation for drug discovery and computational chemistry.
Simplifies molecular cheminformatics and drug discovery workflows using a Pythonic interface for RDKit.
Analyzes whole-slide images and multiparametric imaging data for computational pathology and machine learning workflows.
Processes gigapixel whole slide images for digital pathology, automating tissue detection and tile extraction for deep learning pipelines.
Executes autonomous multi-step biomedical research tasks across genomics, drug discovery, and clinical analysis using integrated databases and code execution.
Manages biological datasets with lineage tracking, ontology-based validation, and FAIR data principles using a unified Python API.
Automates laboratory liquid handling and equipment control through a hardware-agnostic Python interface.
Provides comprehensive tools for astronomical data analysis, coordinate transformations, and physical unit conversions in Python.
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.
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