Data Science & ML Claudeスキル

Fantasy Football Analytics & ML

Develops predictive player projection models using specialized feature engineering and sports-specific machine learning validation techniques.

EdgarTools SEC Analysis

Accesses and analyzes real-time SEC filings and financial statements with token-efficient data retrieval.

Tidyverse Docs Guide

Fetches official, up-to-date documentation and code examples for the R Tidyverse ecosystem.

Scientific Hypothesis Generator

Formulates testable scientific hypotheses and experimental designs based on empirical observations and literature data.

Scientific Figure Visual Engine

Interprets, generates, and captions publication-quality scientific figures for quantitative academic research.

UMAP Dimensionality Reduction

Implements fast non-linear dimensionality reduction for high-dimensional data visualization and clustering preprocessing.

Research Pipeline

Automates the transition from literature review to experimental design by analyzing academic papers and proposing novel research methods.

Polars Data Processing

Optimizes high-performance data manipulation and ETL pipelines using the Polars DataFrame library.

R Shiny Documentation Guide

Queries official R Shiny framework documentation to build, debug, and deploy interactive web applications.

Stable Baselines3 RL Framework

Streamlines the implementation, training, and evaluation of production-ready reinforcement learning algorithms using a scikit-learn-like API.

R Package & CRAN Discovery

Discovers, compares, and recommends R packages by fetching real-time data from CRAN and official Task Views.

Individual Participant Data (IPD) Meta-Analysis in R

Facilitates complex individual participant data (IPD) meta-analyses using tidy R workflows and advanced statistical modeling.

Excel & Financial Spreadsheet Master

Automates professional spreadsheet creation, complex financial modeling, and data analysis with full support for formulas, formatting, and error-free recalculation.

DBT Job Runner

Executes, monitors, and optimizes DBT data transformation pipelines with intelligent error handling and performance reporting.

R Documentation Guide

Accesses real-time R package documentation, vignettes, and task views across CRAN, tidyverse, and Bioconductor ecosystems.

Health Economics Analysis in R

Performs advanced health economic evaluations including cost-effectiveness analysis, Markov modeling, and sensitivity analysis using R.

Prediction Model & ML Paper Writer

Generates publication-ready methods and results sections for clinical prediction and machine learning papers using TRIPOD+AI standards.

AI Lifecycle Management

Standardizes AI/ML delivery with end-to-end guidance on experiment design, model validation, and governance for production-grade AI.

Scientific Paper Writing Core

Enforces rigorous academic integrity and adherence to international reporting guidelines for quantitative research manuscripts.

Data Analysis Expert

Performs SQL data analysis, identifies trends, and generates comprehensive business intelligence reports directly within your workspace.

R Survival Analysis Patterns

Implements comprehensive survival analysis workflows in R using tidy and traditional biostatistical frameworks.

Advanced Adaptive Clinical Trial Designs

Implements and simulates complex adaptive clinical trial designs using industry-standard R packages like adaptr, rpact, and RBesT.

DBT Semantic Query Expert

Translates natural language into precise DBT semantic layer queries with automated filtering, visualization, and context-aware data exploration.

Tidy ITC Analysis Workflow

Standardizes Indirect Treatment Comparison (ITC) analyses in R using tidy modeling principles and reproducible workflow patterns.

Tidymodels Workflow Patterns

Implements comprehensive machine learning pipelines in R using the tidymodels ecosystem, from data preprocessing to model deployment.

Stan Bayesian Modeling Fundamentals

Provides foundational knowledge and best practices for developing, optimizing, and reviewing Stan 2.37 probabilistic models.

SimTrial Fundamentals

Simulates time-to-event clinical trial data and performs complex statistical analyses including weighted logrank and MaxCombo tests.

Epidemiology Methods for R

Performs comprehensive epidemiological analysis in R, covering study designs, causal inference, and measures of association.

Power Optimization Patterns for Clinical Trials

Optimizes clinical trial designs through advanced sample size determination, event count tuning, and multi-objective tradeoff analysis.

Bayesian Hierarchical Modeling

Implements hierarchical and multilevel Bayesian models with optimized parameterizations for robust statistical inference.