Data Science & ML Agent Skills

Tidymodels Hyperparameter Tuning

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

Swarm Orchestration

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

ReasoningBank with AgentDB

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

Flow Nexus Neural

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

Financial Analysis & Modeling

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

Genomics Analysis in R

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

Prompt Engineering Patterns

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

RAG Implementation Expert

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

LLM Evaluation

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

Agentic Prompt Crafting

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

Molfeat Molecular Featurization

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

Qiskit Quantum Computing

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

Tidymodels Workflow Patterns

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

Agri Hedge Fund Positioning Tracker

Quantifies hedge fund capital flows in agricultural commodity markets using CFTC COT data and macro sentiment indicators.

Bayesian Modeling in R

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

Automatic CSV Data Analyst

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

Bayesian Model Diagnostics

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

LangChain Architecture

Builds sophisticated LLM-powered applications using autonomous agents, complex chains, and context-aware memory systems.

Hierarchical Bayesian Modeling

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

Bayesian Time Series Models

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

Stan Fundamentals

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

BUGS & JAGS Bayesian Modeling Fundamentals

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

Denario AI Research Assistant

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

FiftyOne Dataset Inference

Automates the creation of FiftyOne datasets from local media files and executes machine learning model inference pipelines.

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.

LLM Fine-Tuning Knowledge Base

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

LLM Task Manager

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

Writing Plans for LLM Training

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