Does this skill support the latest R features?

Yes, it is specifically optimized for R 4.4+, providing support for the native pipe operator (|>), the new lambda syntax, and improved error message patterns.

How does it handle complex data visualizations?

It leverages the grammar of graphics via ggplot2, including extensions like patchwork for multi-plot layouts and scales for professional axis formatting.

Does it help with R package dependency management?

Yes, it provides specific guidance and commands for managing project environments using renv, pak, and DESCRIPTION file structures.

Is unit testing supported for R projects?

Yes, the skill integrates testthat 3.0 patterns for comprehensive unit testing, including snapshot testing and mocking for reliable data pipelines.

Can I use this for Shiny dashboard development?

Absolutely. The skill includes patterns for reactivity, UI/server logic, modularized Shiny application architecture, and UI enhancement with bslib.

R Data Science & Shiny Development

Name: R Data Science & Shiny Development
Author: zellycloud

byzellycloud

0•

Ciencia de Datos y ML

Accelerates R 4.4+ development with expert patterns for the tidyverse, ggplot2 visualizations, and Shiny web applications.

The moai-lang-r skill transforms Claude into a specialized R development assistant optimized for modern data science workflows. It provides immediate access to R 4.4+ features like the native pipe and lambda syntax, while offering deep expertise in the tidyverse for data manipulation, ggplot2 for professional visualization, and Shiny for reactive web applications. Whether you are building reproducible Quarto reports, managing project dependencies with renv, or writing robust unit tests with testthat, this skill ensures your code follows current best practices and performance standards in the R ecosystem.

Características Principales

01Comprehensive tidyverse patterns for efficient data manipulation and reshaping

02Reactive Shiny application architectures and module-based design patterns

03Automated testing integration using testthat 3.0 and dependency management with renv

04Advanced ggplot2 and patchwork templates for publication-quality visualizations

050 GitHub stars

06Modern R 4.4+ syntax support including native pipes and anonymous functions

Casos de Uso

01Migrating legacy R scripts to modern tidyverse standards and R 4.4+ functional programming

02Developing interactive Shiny dashboards with reactive modules and custom bslib styling

03Building end-to-end data analysis pipelines from raw data ingestion to final insights

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zellycloud/zyflow moai-lang-r

For use in Claude.ai and ChatGPT