Data Science & ML Claudeスキル

Tidymodels Workflow Patterns

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

Data Visualization Expert

Transforms raw data into validated Vega-Lite charts with intelligent type recommendation and automated configuration.

Clinical Trials Biostatistics

Implements industry-standard clinical trial design and statistical analysis workflows using regulatory-compliant R packages.

Tidy ITC Analysis Workflow

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

DBT Semantic Query Expert

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

Advanced Adaptive Clinical Trial Designs

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

R Survival Analysis Patterns

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

Data Analysis Expert

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

Health Economics Analysis in R

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

DBT Job Runner

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

Excel & Financial Spreadsheet Master

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

Individual Participant Data (IPD) Meta-Analysis in R

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

Clinical Trial Time-to-Event Analysis

Provides expert guidance and R implementation patterns for survival analysis methods and non-proportional hazards in clinical trials.

R Genomics & Bioinformatics Analysis

Performs comprehensive genomics and bioinformatics statistical analysis using Bioconductor and R tidy modeling workflows.

EdgarTools SEC Analysis

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

Tidymodels Hyperparameter Tuning

Optimizes machine learning models using advanced hyperparameter tuning strategies within the R tidymodels ecosystem.

Bayesian Survival Analysis Models

Implements advanced Bayesian survival and time-to-event models with support for censoring and frailty effects.

Mendelian Randomization in R

Performs causal inference using genetic variants as instrumental variables through comprehensive R-based Mendelian Randomization workflows.

ML-NMR Statistical Methodology

Provides comprehensive methodological guidance for Multilevel Network Meta-Regression (ML-NMR) using the multinma package and NICE DSU standards.

Bayesian Regression Models

Implements advanced Bayesian regression models including linear, logistic, and robust variations using Stan and JAGS.

Pairwise Meta-Analysis Methodology

Provides expert methodological guidance and R code implementation for conducting rigorous pairwise meta-analyses following Cochrane and PRISMA standards.

Data Analysis Expert

Analyzes databases using SQL queries to generate actionable insights, trend reports, and data visualizations.

Clinical Trial Design Patterns

Implements and optimizes complex clinical trial designs including multi-arm, adaptive, and stratified patterns for biostatistical research.

R Diagnostic Accuracy Analysis

Performs comprehensive diagnostic test accuracy analysis in R, including ROC curves, optimal cutpoints, and meta-analysis.

Hierarchical Memory System

Implements a multi-layered memory architecture based on Mem0 research to boost AI accuracy and persistence across sessions.

Network Meta-Analysis (NMA) Methodology

Provides comprehensive methodological guidance and R implementation patterns for conducting rigorous network meta-analyses.

Mediana Clinical Trial Simulation

Streamlines clinical trial design and simulation using the Mediana framework for Clinical Scenario Evaluation (CSE).

Bayesian Modeling in R

Builds and analyzes robust Bayesian statistical models using Stan-based R packages like brms and rstanarm.

Quantitative Finance & Strategy Analyst

Builds sophisticated financial models and backtests algorithmic trading strategies with integrated risk management metrics.

Causal Mediation Analysis in R

Performs advanced causal mediation analysis to decompose total effects into direct and indirect effects using industry-standard R packages.