Explorar Todas las Habilidades de Claude

Bayesian Modeling in R

Performs comprehensive Bayesian statistical modeling and posterior analysis using Stan-based R packages like brms and rstanarm.

AI Context & Readiness Principles

Optimizes AI coding performance by applying principles of context window management, token budgeting, and signal-to-noise ratio.

Product Launch Strategy

Architects comprehensive go-to-market plans and multi-platform execution strategies for SaaS and digital product launches.

React Design Patterns & Best Practices

Optimizes React application development through standardized hooks, composition patterns, and performance-tuned implementation strategies.

DBT RAG Analyzer

Analyzes dbt project structures, lineage, and dependencies using a multi-agent RAG workflow to automate documentation and code generation.

dbt Model Optimizer

Optimizes and refactors dbt models to improve SQL performance and data transformation efficiency.

Tidymodels Code Review Patterns

Analyzes R machine learning code to detect data leakage, resampling violations, and workflow anti-patterns using tidymodels principles.

R Recipes Feature Engineering

Streamlines data preprocessing and feature engineering using R's Tidymodels recipes framework.

Bayesian Model Diagnostics

Performs comprehensive MCMC diagnostic checks and posterior predictive assessments for Bayesian models implemented in Stan or JAGS.

AI Remediation Patterns

Provides a prioritized framework and actionable fixes for security vulnerabilities, technical debt, and repository hygiene in audit reports.

dbt Data Quality Runner

Automates data quality testing and results analysis using dbt and dbt-expectations to maintain high-integrity data pipelines.

Clinical Trials Biostatistics

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

Clinical Trial Time-to-Event Analysis

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

Content Optimization Suite

Optimizes digital content for search visibility, user engagement, and conversion rates across multiple platforms and formats.

R Genomics & Bioinformatics Analysis

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

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.

PowerPoint PPTX Manager

Creates, edits, and analyzes PowerPoint presentations using programmatic HTML-to-PPTX workflows and raw XML manipulation.

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 Package Documentation & pkgdown

Streamlines R package documentation and website generation using roxygen2 syntax and pkgdown configurations.

Codification Loop

Captures ephemeral debugging insights and architecture decisions into durable project context to eliminate AI memory loss between sessions.

R Diagnostic Accuracy Analysis

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

Playwright Multi-Agent Testing Suite

Orchestrates a team of seven specialized AI agents to perform comprehensive web audits, functional testing, and social media preview validation.

Scoring Methodology Framework

Standardizes how Claude computes and interprets audit scores using weighted categories and severity-based thresholds.

Network Meta-Analysis (NMA) Methodology

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