data science & ml向けのClaudeスキルを発見してください。61個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Builds, debugs, and optimizes reactive Python notebooks and interactive data dashboards using the marimo framework.
Generates comprehensive reference architecture specifications and implementation roadmaps for custom AI agent frameworks.
Simulates open and closed quantum system dynamics using the Quantum Toolbox in Python framework.
Analyzes high-dimensional single-cell gene expression data to identify cell types, states, and developmental trajectories.
Generates journal-ready, publication-grade figures and statistical visualizations using colorblind-safe palettes and professional layouts.
Builds, evaluates, and deploys code-first AI agents and multi-agent systems using Google's Agent Development Kit.
Simplifies physical and analytical chemistry tasks by automating chemical equation balancing, kinetic modeling, and equilibrium calculations.
Automates professional-grade spreadsheet creation, financial modeling, and data analysis with formula preservation and validation.
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.
Analyzes and manipulates complex network structures and graph algorithms using Python's leading network science library.
Accelerates Python and NumPy programs using composable transformations for high-performance machine learning and scientific simulations.
Performs advanced geospatial data manipulation and spatial analysis using the familiar Pandas API in Python.
Analyzes protein dynamics, evolution, and structural flexibility using Elastic Network Models and structural ensemble analysis.
Provides a standardized framework for developing specialized scientific research and data analysis capabilities within Claude Code.
Integrates Google Gemini's multimodal capabilities to process audio, video, images, and documents directly within your development workflow.
Manages and searches academic papers from arXiv directly through a local terminal-based database.
Integrates state-of-the-art machine learning models for natural language processing, computer vision, and scientific data analysis using the Hugging Face ecosystem.
Simplifies scientific video analysis by providing a NumPy-based interface for FFmpeg, motion estimation, and video quality metrics.
Performs advanced manipulation and analysis of 2D planar geometric objects using standardized algorithms.
Manages local Ollama LLM models for development, testing, and VRAM optimization within Claude Code workflows.
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.
Manages large-scale numerical datasets using the HDF5 binary format and NumPy-compatible interfaces for high-performance data science.
Performs complex symbolic mathematical operations including calculus, equation solving, and algebraic manipulation using the SymPy library.
Analyzes and visualizes human neurophysiological data including EEG, MEG, and intracranial recordings using Python-based best practices.
Manipulates and analyzes genomic alignment and variant files using the pysam library for high-throughput sequencing pipelines.
Optimizes Dask distributed computing performance through advanced cluster tuning, memory management, and task graph refinement.
Formulates and solves complex mathematical optimization problems using a natural Pythonic syntax for linear, integer, and non-linear models.
Performs ab initio quantum chemistry calculations and molecular simulations using the PySCF framework.
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