Data Science & ML Agent Skills

A2A Executor Patterns

Implements standardized Agent-to-Agent (A2A) protocol executors with production-ready patterns for task management and agent coordination.

CSV Data Summarizer

Analyzes CSV files automatically to generate comprehensive statistical summaries and context-aware visualizations using Python and pandas.

Clinical Trials Statistical Methods

Performs comprehensive clinical trial design and statistical analysis in R, covering sample size calculation, randomization, and regulatory-compliant modeling.

Writing Plans for LLM Training

Generates structured, micro-task-based implementation plans specifically for large language model fine-tuning and NLP workflows.

LLM Task Manager

Orchestrates multi-task LLM training workflows with comprehensive version tracking and performance comparison tools.

LLM Fine-Tuning Knowledge Base

Provides structured guidance and best practices for Large Language Model (LLM) fine-tuning, model selection, and troubleshooting.

Tidymodels Model Evaluation

Evaluates machine learning model performance using R's yardstick and tidymodels ecosystem for robust classification and regression analysis.

UMAP Dimensionality Reduction

Performs fast, scalable nonlinear dimensionality reduction for high-dimensional data visualization, clustering, and feature engineering.

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.

Denario AI Research Assistant

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

OpenRouter Multi-Model Access

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

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.

Matplotlib Visualization

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

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.

NetworkX Graph Analysis

Analyzes and visualizes complex network structures and graph data within Python environments.

Vaex Big Data Analytics

Processes and analyzes massive tabular datasets exceeding available RAM using out-of-core DataFrames and lazy evaluation.

SimPy Discrete-Event Simulation

Builds process-based discrete-event simulations in Python for modeling complex systems with shared resources.

OpenAlex Academic Search & Analysis

Query and analyze over 240 million scholarly works using the OpenAlex database for literature reviews and bibliometric studies.

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.

Advanced Excel & Spreadsheet Manager

Enables professional-grade spreadsheet creation, financial modeling, and data analysis with automated formula verification and industry-standard formatting.

Backsolve Miner/Metal Ratio Fundamentals

Decomposes mining stock-to-metal price ratios into fundamental drivers like AISC, leverage, and valuation multiples using automated financial data extraction.