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moai-lang-r

Standardize modern R 4.4+ data analysis and Shiny app development patterns.

Updated Jan 23, 2026
Search Tags:#patterns#data-analysis#tidyverse#R#renv#ggplot2#Shiny
One-click install
npx skills add https://github.com/hnabyz-bot/gate_drv --skill moai-lang-r-hnabyz-bot
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai-lang-r
Source: https://github.com/hnabyz-bot/gate_drv/tree/main/.claude/skills/moai-lang-r
Command: npx skills add https://github.com/hnabyz-bot/gate_drv --skill moai-lang-r-hnabyz-bot

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill consolidates best-practice patterns for R-based data analysis, emphasizing tidyverse, ggplot2, and Shiny, to reduce boilerplate and improve consistency across projects.

Core Features & Use Cases

  • R 4.4+ feature patterns, including native pipe and lambda syntax, enabling modern, readable code.
  • Tidyverse-driven data analysis and visualization patterns with ggplot2 and Shiny UI/server modules.
  • Reproducible workflows with renv for dependency management and modular patterns for scalable projects.

Quick Start

Create a minimal Shiny app using the tidyverse to load sample data, render a ggplot2 visualization, and run the app.

Frequently Asked Questions about moai-lang-r

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I standardize tidyverse data analysis patterns in R?▼

Standardizing tidyverse data analysis patterns in R involves applying consistent data transformation and visualization workflows. This Skill provides reusable patterns for tidyverse, ggplot2, and Shiny to reduce boilerplate and improve project consistency.

Can I use native pipe and lambda syntax in R 4.4+ for Shiny apps?▼

Yes, native pipe and lambda syntax in R 4.4+ can structure Shiny app code. This Skill implements modern R 4.4+ feature patterns to enable readable, modular UI and server component development.

What is the best way to manage reproducible R workflows with renv?▼

Managing reproducible R workflows with renv requires capturing project-specific dependencies. This Skill provides patterns for integrating renv dependency management into scalable, reproducible data analysis pipelines.

How do I build a minimal Shiny app using ggplot2 and tidyverse?▼

Building a minimal Shiny app with ggplot2 and tidyverse requires loading sample data and rendering interactive visualizations. This Skill offers quick-start patterns to create modular Shiny UI and server components.

Does this R development approach work for scalable data science projects?▼

Yes, this R development approach suits scalable data science projects by leveraging modular patterns. It standardizes tidyverse workflows and Shiny modules to ensure reproducible pipelines and maintainable interactive dashboards.

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