Data Science & ML Claudeスキル

Excel & Data Analysis Toolkit

Creates, edits, and analyzes Excel spreadsheets with professional formatting, automated formula recalculation, and integrated data visualization.

Polars Data Engineering

Accelerates data manipulation and ETL pipelines with the high-performance Polars DataFrame library.

SHAP Model Explainability

Explains machine learning model predictions and feature importance using SHAP values and comprehensive visualizations.

Flow Nexus Neural Networks

Trains and deploys complex neural network architectures within distributed E2B sandbox environments for scalable machine learning workflows.

Scikit-learn Machine Learning

Builds, evaluates, and deploys production-ready machine learning models using the industry-standard scikit-learn library.

AgentDB Learning Plugins

Implements and trains advanced reinforcement learning algorithms to create autonomous agents that evolve through experience.

PyTorch Geometric (PyG)

Develops and trains Graph Neural Networks (GNNs) for node classification, link prediction, and geometric deep learning tasks.

Plotly Interactive Visualization

Generates interactive, publication-quality Python charts and dashboards for data exploration and presentation.

Scientific Exploratory Data Analysis

Performs automated exploratory data analysis and generates comprehensive reports for over 200 scientific file formats.

Scientific Visualization & Figure Design

Generates publication-ready scientific figures and multi-panel layouts following strict journal specifications for Nature, Science, and Cell.

A2A Executor Patterns

Implements standardized Agent-to-Agent (A2A) protocol executors with production-ready patterns for task management and agent coordination.

Theory2 Physics & Math Tooling

Performs advanced mathematical physics computations, symbolic algebra, and automated theorem proving using the Theory2 suite.

CSV Data Summarizer

Analyzes CSV files automatically to generate comprehensive statistical summaries and context-aware visualizations using Python and pandas.

Clinical Trials Statistical Methods

Performs comprehensive clinical trial design and statistical analysis in R, covering sample size calculation, randomization, and regulatory-compliant modeling.

Tidymodels Model Evaluation

Evaluates machine learning model performance using R's yardstick and tidymodels ecosystem for robust classification and regression analysis.

UMAP Dimensionality Reduction

Performs fast, scalable nonlinear dimensionality reduction for high-dimensional data visualization, clustering, and feature engineering.

Tidymodels Hyperparameter Tuning

Optimizes machine learning models using comprehensive hyperparameter tuning patterns within the R Tidymodels ecosystem.

Genomics Analysis in R

Simplifies complex bioinformatics workflows in R using Bioconductor for RNA-seq, microarray, and single-cell genomic analysis.

Tidymodels Workflow Patterns

Implements end-to-end machine learning pipelines in R using the tidymodels ecosystem, from data splitting to model deployment.

Financial Statement Analysis

Automates the calculation and interpretation of key financial ratios and metrics from diverse financial statement data sources.

Bayesian Modeling in R

Facilitates advanced Bayesian statistical modeling in R using Stan-based packages for comprehensive data analysis and inference.

Denario AI Research Assistant

Automates end-to-end scientific research workflows from data analysis and hypothesis generation to publication-ready LaTeX papers.

OpenRouter Multi-Model Access

Access and benchmark hundreds of LLM models through a unified API to optimize for cost, performance, and response quality.

Metabolomics Analysis

Provides expert strategies and domain knowledge for analyzing metabolic pathways, flux measurements, and biochemical mechanisms.

Genomics Analysis

Provides specialized strategies and code patterns for genomics and transcriptomics data analysis, visualization, and biological interpretation.

Matplotlib Visualization

Generates highly customizable, publication-quality static and interactive plots using Python's foundational visualization library.

Structural Biology Analysis

Analyzes and validates protein structures, interprets AlphaFold predictions, and performs comparative molecular modeling.

FluidSim CFD

Conducts high-performance computational fluid dynamics (CFD) simulations using Python-based pseudospectral methods and MPI parallelization.

NetworkX Graph Analysis

Analyzes and visualizes complex network structures and graph data within Python environments.

Vaex Big Data Analytics

Processes and analyzes massive tabular datasets exceeding available RAM using out-of-core DataFrames and lazy evaluation.