AIエージェントの能力を拡張するClaudeスキルの完全なコレクションをご覧ください。
Performs comprehensive Bayesian statistical modeling and posterior analysis using Stan-based R packages like brms and rstanarm.
Optimizes AI coding performance by applying principles of context window management, token budgeting, and signal-to-noise ratio.
Architects comprehensive go-to-market plans and multi-platform execution strategies for SaaS and digital product launches.
Optimizes React application development through standardized hooks, composition patterns, and performance-tuned implementation strategies.
Analyzes dbt project structures, lineage, and dependencies using a multi-agent RAG workflow to automate documentation and code generation.
Optimizes and refactors dbt models to improve SQL performance and data transformation efficiency.
Analyzes R machine learning code to detect data leakage, resampling violations, and workflow anti-patterns using tidymodels principles.
Streamlines data preprocessing and feature engineering using R's Tidymodels recipes framework.
Performs comprehensive MCMC diagnostic checks and posterior predictive assessments for Bayesian models implemented in Stan or JAGS.
Provides a prioritized framework and actionable fixes for security vulnerabilities, technical debt, and repository hygiene in audit reports.
Automates data quality testing and results analysis using dbt and dbt-expectations to maintain high-integrity data pipelines.
Implements industry-standard clinical trial design and statistical analysis workflows using regulatory-compliant R packages.
Provides expert guidance and R implementation patterns for survival analysis methods and non-proportional hazards in clinical trials.
Optimizes digital content for search visibility, user engagement, and conversion rates across multiple platforms and formats.
Performs comprehensive genomics and bioinformatics statistical analysis using Bioconductor and R tidy modeling workflows.
Optimizes machine learning models using advanced hyperparameter tuning strategies within the R tidymodels ecosystem.
Implements advanced Bayesian survival and time-to-event models with support for censoring and frailty effects.
Performs causal inference using genetic variants as instrumental variables through comprehensive R-based Mendelian Randomization workflows.
Provides comprehensive methodological guidance for Multilevel Network Meta-Regression (ML-NMR) using the multinma package and NICE DSU standards.
Creates, edits, and analyzes PowerPoint presentations using programmatic HTML-to-PPTX workflows and raw XML manipulation.
Implements advanced Bayesian regression models including linear, logistic, and robust variations using Stan and JAGS.
Provides expert methodological guidance and R code implementation for conducting rigorous pairwise meta-analyses following Cochrane and PRISMA standards.
Analyzes databases using SQL queries to generate actionable insights, trend reports, and data visualizations.
Implements and optimizes complex clinical trial designs including multi-arm, adaptive, and stratified patterns for biostatistical research.
Streamlines R package documentation and website generation using roxygen2 syntax and pkgdown configurations.
Captures ephemeral debugging insights and architecture decisions into durable project context to eliminate AI memory loss between sessions.
Performs comprehensive diagnostic test accuracy analysis in R, including ROC curves, optimal cutpoints, and meta-analysis.
Orchestrates a team of seven specialized AI agents to perform comprehensive web audits, functional testing, and social media preview validation.
Standardizes how Claude computes and interprets audit scores using weighted categories and severity-based thresholds.
Provides comprehensive methodological guidance and R implementation patterns for conducting rigorous network meta-analyses.
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