Awesome R Stats Skills

A curated list of AI agent skills for R programming and statistics.

AI agent skills are reusable prompt files (typically SKILL.md) that extend coding assistants like Claude Code with specialized, domain-specific workflows. This list focuses on skills useful for R users.

Contents

• R Code Reviewers
• General Data Analysis
• Tidyverse
• Package Development
• CRAN Submission Help
• Performance
• Reproducible Pipelines
• Skill Collections
• Tutorials and Blogs

Skills

R Code Reviewers

Skills for auditing and reviewing R code quality, style, and correctness.

• review-r by @pedrohcgs - Comprehensive review of R scripts across code quality, reproducibility, domain correctness, and professional standards. Generates detailed reports without modifying source files.

General data analysis

General skills for programming patterns.

• r-analyst by @nealcaren - Guides a systematic, phased workflow for conducting publication-ready statistical analysis in R, emphasizing research design before estimation and robust sensitivity testing.
• ds-assistant by @chendakeng - Tools for general purpose data science assistant with instructions for Shiny and Quarto.
• event-studies by @dariia-m - Covers many differences-in-differences methods from classic fixed effect regressions to modern staggered adoption methods
• base-r-skill by @iremaydas - Provides base R programming guidance covering data structures, data wrangling, statistical modeling, visualization, and I/O.

Tidyverse

Skills for writing idiomatic tidyverse code.

• tidyverse-patterns by @ab604 - Modern tidyverse patterns covering pipes, joins, grouping, purrr, and stringr for writing current best-practice R code.
• tidy-r-skill by @statzhero - An LLM skill for modern tidyverse R using R 4.5+, tidyverse 2.0+, and dplyr 1.2+.

Package development

Skills for package development workflows.

• r-package-development by @ab604 - Guides R package creation covering dependencies, API design, testing, documentation, and release workflows.
• testing-r-packages by @posit-dev - Guides test suite development for R packages using testthat 3+, covering test structure, expectations, fixtures, snapshots, and mocking.

CRAN submission help

Skills for checking and submitting R packages to CRAN.

• cran-submit by @CoryMcCartan - Runs automated checks, fixes issues, conducts adversarial review, and guides packages through a six-phase submission process to minimize resubmission cycles.
• cran-extrachecks by @posit-dev - Checks for common CRAN requirements that standard development tools miss, including documentation completeness, DESCRIPTION formatting, URL validation, and administrative compliance.

Performance

Skills for profiling, benchmarking, and optimizing R code.

• r-performance by @ab604 - Teaches R performance optimization through profiling and benchmarking with profvis, bench::mark, vctrs, and parallel processing, including decision guidance on data.table vs dplyr trade-offs.

Reproducible pipelines

Skills for building reproducible analysis pipelines.

• targets-r-skill by @statzhero - Guides _targets.R pipeline authoring for targets >= 1.12 and tarchetypes >= 0.14.1, covering branching, storage formats, and Quarto/R Markdown integration.

Skill collections

Full repositories of R-focused skills worth browsing.

• skills by @posit-dev - Collection of skills from Posit covering R package development, Shiny, Quarto, and developer workflows.
• claude-code-r-skills by @ab604 - Comprehensive Claude Code configuration for R development with 8 skills spanning tidyverse, performance, OOP, Bayesian methods, package development, and TDD.
• claude-skills by @jeremy-allen - Claude agent skills for using R’s tidyverse. Mostly Derived from Sarah Johnson’s stellar CLAUDE.md.
• pkgskills by @jonthegeek - A collection of curated, opinionated skills and agent instructions to improve agentic coding of R packages.
• R-Skills by @blankuzr - Bundle of 11 Claude/Codex skills covering R workspace setup, EDA, modeling, Shiny, package development, and tables/reporting.

Tutorials and blogs

Posts and guides on using AI agent skills for R.

• A Few Claude Skills for R Users by @ivelasq - Roundup of community-built Claude skills for R developers covering tidyverse practices, package development, Quarto authoring, and brand consistency.

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License

This list is licensed under CC0.

Contributing

Contributions welcome! Please read the contribution guidelines first.