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moai-lang-r

Apply tidyverse, ggplot2, and Shiny patterns for R data projects.

Updated Jan 16, 2026
Search Tags:#data science#tidyverse#R#ggplot2#Shiny#R4.4
One-click install
npx skills add https://github.com/yarang/fastapi-error-code --skill moai-lang-r-yarang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai-lang-r
Source: https://github.com/yarang/fastapi-error-code/tree/main/.claude/skills/moai-lang-r
Command: npx skills add https://github.com/yarang/fastapi-error-code --skill moai-lang-r-yarang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams rapidly bootstrap modern R data science projects by providing structured patterns for data wrangling, visualization, and Shiny dashboards, reducing boilerplate and accelerating productivity.

Core Features & Use Cases

  • Data Wrangling Patterns: Consistent use of tidyverse verbs (dplyr, tidyr) for cleaning, transforming, and summarizing data.
  • Visualization Patterns: Ready-made ggplot2 templates and plotting themes for quick, publication-quality visuals.
  • Shiny App Scaffolding: Modular UI/server templates to accelerate interactive dashboard development.

Quick Start

Use the moai-lang-r skill to scaffold a new R project, wrangle a sample dataset with dplyr, create a ggplot2 visualization, and launch a minimal Shiny app to preview interactivity.

Frequently Asked Questions about moai-lang-r

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

FAQPage Schema
How do I scaffold a Shiny app with modular UI and server components in R?▼

To scaffold a Shiny app in R, use this Skill to generate modular UI and server templates, accelerating interactive dashboard development while reducing boilerplate code for projects of any size.

What are the best practice tidyverse patterns for data wrangling in R?▼

Best practice tidyverse patterns involve using dplyr and tidyr verbs for data wrangling. This Skill provides consistent templates for cleaning, transforming, and summarizing data across modern R pipelines.

How do I create publication-quality graphics using ggplot2 in R?▼

Create publication-quality graphics in R using ggplot2 by applying ready-made templates and custom plotting themes. This Skill delivers structured visualization patterns for quick, consistent exploratory analysis.

Does this R data science workflow require a specific version of R or packages?▼

This R data science workflow requires R 4.4 or higher. It specifically depends on the tidyverse, ggplot2, and Shiny packages to deliver its data wrangling, visualization, and interactive dashboard patterns.

What is the best way to bootstrap a modern R data science project?▼

The best way to bootstrap a modern R data science project is to apply structured patterns for data wrangling, visualization, and Shiny dashboards, reducing boilerplate and accelerating team productivity.

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