Can it help with error handling in R?

Yes, it provides guidelines for informative error messages and suggests using modern packages like 'cli' for user-friendly error reporting and validation.

Does this skill support Tidyverse conventions?

Yes, it specifically prioritizes Tidyverse-style API design, including data-first arguments, pipe-friendly formatting (|>), and tibble-consistent returns.

How does it handle R assignment operators?

The skill enforces the use of the arrow operator (<-) for object assignment and reserves the equals sign (=) strictly for function arguments, following R community standards.

Does it provide advice on file organization?

It includes a standardized structure for R scripts, including package loading, helper sourcing, constant definition, and main logic separation.

R Development Style Guide

Name: R Development Style Guide
Author: ab604

byab604

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数据科学与机器学习

Enforces professional R coding standards, naming conventions, and Tidyverse-aligned function design patterns.

The R Development Style Guide skill provides Claude with a comprehensive framework for writing clean, idiomatic, and maintainable R code. It covers essential formatting rules such as snake_case naming, two-space indentation, and the use of the arrow operator for assignment. Beyond simple linting, it guides Claude in designing robust functions with data-first arguments, type-stable outputs, and clear error handling. This skill is indispensable for data scientists and developers looking to align their codebase with modern R community standards and Tidyverse best practices.

主要功能

01Standardizes naming conventions using snake_case for variables and verbs for functions.

02Enforces Tidyverse-compliant API design with data-first arguments and pipe-friendly structures.

036 GitHub stars

04Provides templates for type-stable outputs and consistent error handling using the cli package.

05Implements strict layout rules including 80-character line limits and two-space indentation.

06Identifies and corrects common R anti-patterns like using attach() or T/F abbreviations.

使用场景

01Developing R packages with consistent internal logic and user-facing API designs.

02Refactoring legacy R scripts into clean, production-grade code that follows modern standards.

03Standardizing code style across collaborative data science teams using Claude Code.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ab604/claude-code-r-skills r-style-guide

For use in Claude.ai and ChatGPT

Download Skill