Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Provides expert guidance and standardized patterns for building scalable data pipelines using the Dagster asset-based orchestration framework.
Generates production-ready Dagster data assets and pipelines using natural language requirements and industry best practices.
Architects specialized, production-ready AI agents using a rigorous 4-phase methodology and evidence-based prompting techniques.
Initializes and scaffolds organized multi-project environments for Dagster data orchestration using natural language.
Initializes new Dagster projects with a recommended structure using natural language commands.
Implements advanced Retrieval-Augmented Generation patterns, optimizing document chunking, embeddings, and search strategies for high-performance AI systems.
Builds reliable, production-ready autonomous AI systems using proven agentic patterns and strict reliability guardrails.
Provides a comprehensive, categorized guide to over 82 Dagster integrations for data orchestration and engineering.
Builds and manages reliable AI agents using robust patterns like ReAct and Plan-Execute to ensure production-grade performance.
Analyzes high-dimensional single-cell gene expression data to identify cell types, states, and developmental trajectories.
Simulates open and closed quantum system dynamics using the Quantum Toolbox in Python framework.
Analyzes protein dynamics, evolution, and structural flexibility using Elastic Network Models and structural ensemble analysis.
Models complex real-world systems using process-based discrete-event simulation in Python.
Models and analyzes large-scale metabolic networks in microorganisms using constraints-based reconstruction and flux balance analysis.
Performs advanced geospatial data manipulation and spatial analysis using the familiar Pandas API in Python.
Guides the step-by-step implementation of research papers from scratch to ensure deep understanding and technical reproducibility.
Analyzes and manipulates complex network structures and graph algorithms using Python's leading network science library.
Provides a standardized framework for developing specialized scientific research and data analysis capabilities within Claude Code.
Simplifies scientific video analysis by providing a NumPy-based interface for FFmpeg, motion estimation, and video quality metrics.
Accelerates Python and NumPy code using Just-In-Time (JIT) compilation for machine-speed execution.
Manages and analyzes multi-dimensional labeled arrays and datasets for scientific computing and physical sciences.
Integrates state-of-the-art machine learning models for natural language processing, computer vision, and scientific data analysis using the Hugging Face ecosystem.
Accelerates Python and NumPy programs using composable transformations for high-performance machine learning and scientific simulations.
Performs advanced manipulation and analysis of 2D planar geometric objects using standardized algorithms.
Builds, trains, and optimizes high-performance neural networks and scientific computing models using the PyTorch framework.
Deploys scientific models and data applications using high-performance FastAPI backends and interactive Streamlit frontends.
Automates the creation of standardized Python-based AI agents for autonomous career-focused tasks.
Develops the analytical intuition to distinguish high-impact, foundational research from incremental work and academic noise.
Performs complex symbolic mathematical operations including calculus, equation solving, and algebraic manipulation using the SymPy library.
Manipulates and analyzes genomic alignment and variant files using the pysam library for high-throughput sequencing pipelines.
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