Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Optimizes machine learning models using advanced hyperparameter tuning strategies within the R tidymodels ecosystem.
Analyzes Lebanese market gaps using Ridge Regression to recommend optimal locations for new business branches based on demographic and competitor data.
Runs the interactive LLM Arena in the terminal to compare AI model outputs with high-quality markdown rendering.
Implements advanced Bayesian survival and time-to-event models with support for censoring and frailty effects.
Implements expert annotation pipeline designs, quality assurance protocols, and scalable labeling systems for machine learning workflows.
Implements professional MLflow patterns for experiment tracking, model registry management, and reproducible ML pipelines.
Performs causal inference using genetic variants as instrumental variables through comprehensive R-based Mendelian Randomization workflows.
Generates valid BioLM Protocol YAML files for protein engineering and bioinformatics pipelines.
Transforms experimental results into publication-ready LaTeX academic papers following professional research standards and style guides.
Architects and debugs complex OctoMesh ETL pipelines using YAML-defined data flows and transformations.
Manages complex relationships and structured data entities across multiple domains using GraphRAG memory.
Manages and maintains GPU-accelerated semantic search indexes for local codebases within Claude Code.
Optimizes LLM API expenses through intelligent model routing, budget tracking, and efficient caching strategies.
Coordinates multiple specialized AI agents to solve complex tasks through collaborative, competitive, and analytical workflows.
Conducts data-driven market research, competitive analysis, and investor due diligence with verified source attribution.
Provides comprehensive methodological guidance for Multilevel Network Meta-Regression (ML-NMR) using the multinma package and NICE DSU standards.
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.
Generates publication-ready scientific diagrams and statistical plots for academic papers using a multi-agent pipeline.
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.
Performs comprehensive diagnostic test accuracy analysis in R, including ROC curves, optimal cutpoints, and meta-analysis.
Provides comprehensive methodological guidance and R implementation patterns for conducting rigorous network meta-analyses.
Streamlines clinical trial design and simulation using the Mediana framework for Clinical Scenario Evaluation (CSE).
Performs advanced causal mediation analysis to decompose total effects into direct and indirect effects using industry-standard R packages.
Implements robust Bayesian time series models using Stan and JAGS for advanced statistical forecasting and analysis.
Performs multi-agent cryptocurrency market analysis, tracking price trends, news sentiment, and macro correlations for digital asset evaluation.
Builds sophisticated LLM applications and autonomous agents using the LangChain framework's core patterns and integrations.
Analyzes and extracts structured insights from video files using AI-powered understanding and timestamped key moment identification.
Implements reliable, reproducible data pipelines and infrastructure using best practices for ETL/ELT workflows.
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