Data Science & ML Claude 스킬

Tidymodels Hyperparameter Tuning

Optimizes machine learning models using comprehensive hyperparameter tuning patterns within the R Tidymodels ecosystem.

Genomics Analysis in R

Simplifies complex bioinformatics workflows in R using Bioconductor for RNA-seq, microarray, and single-cell genomic analysis.

Tidymodels Workflow Patterns

Implements end-to-end machine learning pipelines in R using the tidymodels ecosystem, from data splitting to model deployment.

Bayesian Modeling in R

Facilitates advanced Bayesian statistical modeling in R using Stan-based packages for comprehensive data analysis and inference.

BUGS & JAGS Bayesian Modeling Fundamentals

Master the foundational syntax and precision parameterization required for BUGS and JAGS statistical modeling.

Stan Fundamentals

Provides foundational knowledge for writing, reviewing, and optimizing high-performance Stan 2.37 Bayesian models.

Bayesian Time Series Models

Implements advanced Bayesian time series analysis using Stan and JAGS for probabilistic forecasting and state-space modeling.

Hierarchical Bayesian Modeling

Implements and optimizes hierarchical Bayesian models with support for partial pooling and advanced parameterization techniques.

Bayesian Model Diagnostics

Evaluates Bayesian model convergence and sampling performance using MCMC diagnostics for Stan and JAGS frameworks.

Agent C3 Mixed Methods Consultant

Guides researchers through complex mixed methods study designs using systematic qualitative and quantitative integration patterns.

Automatic CSV Data Analyst

Analyzes CSV files automatically to provide statistical summaries, domain-specific insights, and relevant visualizations without requiring user intervention.

Denario AI Research Assistant

Automates end-to-end scientific research workflows from data analysis and hypothesis generation to publication-ready LaTeX papers.

Chaotic Attractor Dynamics

Analyzes and models strange attractors with sensitive dependence on initial conditions within complex dynamical systems.

OpenRouter Multi-Model Access

Access and benchmark hundreds of LLM models through a unified API to optimize for cost, performance, and response quality.

Quantitative Design Consultant

Architects optimized quantitative research designs, experimental methodologies, and sampling strategies using an enhanced three-phase validation process.

Metabolomics Analysis

Provides expert strategies and domain knowledge for analyzing metabolic pathways, flux measurements, and biochemical mechanisms.

Genomics Analysis

Provides specialized strategies and code patterns for genomics and transcriptomics data analysis, visualization, and biological interpretation.

Qiskit Quantum Computing

Builds, optimizes, and executes quantum circuits and algorithms on real hardware and high-performance simulators.

Molfeat Molecular Featurization

Converts chemical structures into numerical representations for molecular machine learning and drug discovery workflows.

Agentic Prompt Crafting

Optimizes AI agent behavior through specialized prompt engineering patterns and best practices for complex, autonomous workflows.

Matplotlib Visualization

Generates highly customizable, publication-quality static and interactive plots using Python's foundational visualization library.

LLM Evaluation

Implements comprehensive evaluation frameworks to measure LLM application quality using automated metrics, human feedback, and comparative benchmarks.

RAG Implementation Expert

Builds high-performance Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground LLMs in external data.

Prompt Engineering Patterns

Implements advanced prompt engineering techniques to maximize LLM performance, reliability, and reasoning capabilities in production environments.

Financial Analysis & Modeling

Provides comprehensive financial frameworks for modeling, valuation, corporate finance decisions, and advanced statement analysis.

Flow Nexus Neural

Train, deploy, and manage distributed neural networks within E2B sandboxes using the Flow Nexus ecosystem.

ReasoningBank with AgentDB

Implements high-performance adaptive learning and memory distillation for AI agents using the ultra-fast AgentDB vector engine.

Swarm Orchestration

Orchestrates multi-agent AI systems for parallel task execution and intelligent workflow coordination using dynamic topologies.

Structural Biology Analysis

Analyzes and validates protein structures, interprets AlphaFold predictions, and performs comparative molecular modeling.

FluidSim CFD

Conducts high-performance computational fluid dynamics (CFD) simulations using Python-based pseudospectral methods and MPI parallelization.