ab604Community·8 Agent Skills Included

claude-code-r-skills

Modern R coding, testing, and Bayesian analysis guidance

Generates idiomatic modern R code using tidyverse patterns, native pipes, and current dplyr APIs. Eliminates outdated syntax, silent join errors, and untested statistical code through enforced style rules and test-driven workflows. Covers Bayesian modeling, package development, performance profiling, and OOP design so R users ship reliable analysis code faster.

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npx skills add ab604/claude-code-r-skills --all -g -y

Available:

Directs the agent to apply modern tidyverse patterns, evidence-based scientific reasoning, and Bayesian uncertainty quantification when writing R code, and routes tasks to the matching R skill files.

All Skills in This Repository (8)

Pure Emerald Level Indicators

📦 In Repo

ab604

r-oop

Select an R object-oriented programming system among S3, S4, S7, and vctrs.

Bayesian inference in R

Perform Bayesian inference in R with brms and CmdStanR.

tidyverse-patterns

Convert legacy R code to modern tidyverse patterns with dplyr, purrr, and stringr.

rlang-patterns

Teach rlang metaprogramming patterns for tidy evaluation in R code.

r-style-guide

Enforce consistent R coding style with naming, spacing, and function design rules.

r-performance

Profile and benchmark R code using profvis, bench, and Rprof.

r-package-development

Standardize R package development with roxygen2 documentation and testthat tests.

tdd-workflow

Enforce test-driven development for R projects using testthat workflows.

Community

Intermediate

Frequently Asked Questions

FAQPage Schema

How to install claude-code-r-skills?▼

Run `npx skills add ab604/claude-code-r-skills --all -g -y` in your terminal to install all R skills globally.

How to write modern tidyverse R code?▼

The tidyverse-patterns skill enforces native pipes, join_by() syntax, .by grouping, and NA-safe filtering so generated R code follows current best practices.

Can it help with Bayesian analysis in R?▼

Yes. The r-bayes skill covers brms models, DAG validation, multilevel models, and marginal effects with full posterior interpretation guidance.

Does it enforce test-driven development in R?▼

Yes. The tdd-workflow skill requires tests before code using testthat Edition 3, with a minimum 80% coverage target and snapshot testing support.

Do I need R package experience to use these skills?▼

No. The skills guide both beginners and package developers, covering everything from style rules to S7 OOP design and CRAN-ready package structure.