Data Science & ML Claude 스킬

Context Engineering Fundamentals

Provides foundational strategies for managing AI agent context windows, attention mechanics, and token usage to improve model performance.

Google Gemini Embeddings

Generates high-performance text embeddings for RAG systems, semantic search, and document clustering using the Gemini API.

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.

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).

Causal Mediation Analysis in R

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

Bayesian Time Series Modeling

Implements robust Bayesian time series models using Stan and JAGS for advanced statistical forecasting and analysis.

Real-World Evidence Analysis in R

Conducts advanced biostatistical analysis of real-world data (RWD) using target trial emulation and propensity score methods.

Network Meta-Analysis in R

Performs advanced multi-treatment comparisons using frequentist and Bayesian network meta-analysis methods in R.

Clinical Trial Group Sequential Methods

Implements group sequential design methods for clinical trial interim analyses, including alpha spending and futility stopping rules.

Clinical Trial Multiplicity Methods

Implements and optimizes multiplicity adjustment procedures to control Family-Wise Error Rate (FWER) in clinical trial simulations.

R Pharmacokinetics & PD Modeling

Performs comprehensive pharmacokinetic and pharmacodynamic modeling in R, from non-compartmental analysis to complex population PK simulations.

R Meta-Analysis Assistant

Performs comprehensive pairwise meta-analysis in R using industry-standard libraries like metafor, meta, and brms.

Text-to-Chart Visualizer

Creates and validates professional Vega-Lite visualizations from data files and dbt query results.

Clinical Trials Database Integration

Queries the ClinicalTrials.gov API v2 to search, retrieve, and analyze clinical study data for research and patient matching.

Scientific Slides & Presentations

Generates visually engaging, research-backed scientific slide decks for conferences, thesis defenses, and academic seminars.

ModelsLab AI Suite

Integrates a comprehensive suite of AI generation APIs for creating images, videos, audio, and 3D content directly within development workflows.

K-Dense Scientific Research Bridge

Connects Claude Scientific Skills with the K-Dense Web platform to handle complex, multi-agent scientific research workflows.

Agno AI Agent Framework

Build and deploy production-ready multi-agent systems with MCP integration and automated workflows.

LLM Project Development Methodology

Guides the end-to-end lifecycle of LLM projects, from evaluating task-model fit to architecting resilient, agent-assisted data pipelines.

Memory Systems Design

Implements sophisticated memory architectures for AI agents to persist state, build knowledge graphs, and maintain long-term context.

BDI Mental State Modeling

Transforms external RDF context into agent mental states to enable deliberative reasoning and explainable AI within cognitive architectures.