Data Science & ML Claudeスキル
data science & ml向けのClaudeスキルを発見してください。53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。
AnnData for Claude Code
Manages and analyzes annotated data matrices for single-cell genomics and large-scale biological datasets.
Reactome Pathway Database & Analysis
Accesses the Reactome database to perform biological pathway analysis, gene mapping, and enrichment studies for systems biology.
COSMIC Cancer Database Access
Accesses and integrates the world's most comprehensive database for exploring somatic mutations in human cancer into bioinformatics workflows.
Scientific Exploratory Data Analysis
Performs comprehensive exploratory data analysis and generates detailed reports for over 200 scientific file formats.
Seaborn Statistical Visualization
Creates publication-quality statistical graphics and exploratory data visualizations using a high-level Python interface.
Datamol Cheminformatics
Simplifies molecular cheminformatics and drug discovery workflows using a Pythonic abstraction layer over RDKit.
OMERO Microscopy Integration
Integrates Claude Code with the OMERO platform to manage, analyze, and automate microscopy image data workflows via the Python API.
UniProt Protein Database
Accesses the world's leading protein sequence and functional information resource via the UniProt REST API.
Survival Analysis & Time-to-Event Modeling
Performs comprehensive survival analysis and time-to-event modeling using the scikit-survival library in Python.
Polars Data Engineering
Accelerates high-performance data analysis and manipulation using the lightning-fast Polars DataFrame library.
Data Commons Client
Accesses global statistical data from Data Commons for demographic, economic, and environmental analysis.
PyTorch Lightning Scientist
Streamlines deep learning development by organizing PyTorch code into scalable, high-performance Lightning modules and data pipelines.
SimPy Discrete-Event Simulation
Models complex systems using process-based discrete-event simulation to optimize resources, queues, and time-based workflows.
Zarr Python Scientific Data
Manages large-scale N-dimensional arrays with chunking, compression, and cloud-native storage for scientific computing.
Matchms Mass Spectrometry Analysis
Processes and analyzes mass spectrometry data using Python-based spectral similarity, metadata harmonization, and data filtering tools.
Scientific Schematics & Diagrams
Generates publication-quality scientific diagrams, neural network architectures, and flowcharts using specialized Python libraries.
FluidSim CFD Framework
Conducts high-performance computational fluid dynamics simulations using Python-based pseudospectral methods and MPI parallelization.
SymPy Symbolic Mathematics
Performs exact symbolic mathematics in Python, including algebraic solving, calculus, and matrix manipulations.
PyMC Bayesian Modeling
Builds and validates advanced Bayesian probabilistic models using PyMC 5.x for scientific discovery and statistical inference.
Biopython for Molecular Biology
Provides comprehensive Python tools for biological computation, sequence analysis, and bioinformatics database access.
Hypogenic Scientific Hypothesis Engine
Automates scientific hypothesis generation and empirical testing by synthesizing observational data with research literature.
Scientific Visualization
Generates journal-ready scientific figures and multi-panel layouts following publication-quality standards.
Scikit-learn Machine Learning
Implements comprehensive machine learning workflows using scikit-learn, covering data preprocessing, model training, evaluation, and pipeline deployment.
Research Information Lookup
Researches academic literature, technical documentation, and scientific data with automatic model selection and citation support.
NCBI GEO Scientific Data Access
Accesses, searches, and retrieves gene expression and functional genomics data from the NCBI Gene Expression Omnibus (GEO).
Excel & Spreadsheet Scientific Toolkit
Empowers Claude to create, analyze, and format professional Excel spreadsheets and financial models with automated formula recalculation.
LatchBio Bioinformatics Integration
Builds and deploys production-grade bioinformatics pipelines as serverless workflows on the Latch platform.
Resource Discovery & Strategy
Detects system hardware capabilities and provides optimized computational strategies for scientific and data-intensive tasks.
SHAP Model Explainability
Explains machine learning model predictions and feature importance using Shapley Additive exPlanations for transparent and interpretable AI.
PyOpenMS Mass Spectrometry Analysis
Processes and analyzes complex mass spectrometry data for proteomics and metabolomics workflows using the PyOpenMS library.
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