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Skills for R programming with Claude Code
npx claudepluginhub jsperger/llm-r-skillsSkills for R programming covering tidyverse patterns, rlang conditions, targets pipelines, metaprogramming, and more
Official prompts.chat marketplace - AI prompts, skills, and tools for Claude Code
Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
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Claude Code plugin providing skills for R programming. Complementary to Posit skills.
After pushing to GitHub:
/plugin marketplace add jsperger/llm-r-skills
/plugin install r-skills@r-skills
claude --plugin-dir /path/to/r-skills
For full functionality, the following are required:
Guidelines for designing user-friendly R function APIs, covering naming conventions, argument ordering, and output stability.
ggplot2 4.0+ features including S7 migration, theme defaults, and new scale/position aesthetics.
Infrastructure for building tidymodels-compatible modeling packages using mold() and forge().
Techniques for manipulating R expressions using rlang: defuse-and-inject pattern, quosures, and symbol construction.
Error handling with rlang and cli: formatted output, error chaining, and input validation.
Complex targets patterns: static branching, dynamic branching, hybrid patterns, and custom target factories.
Programming patterns for data-masked functions in the tidyverse using {{}} and managing variable ambiguity.
Overview of the tidymodels ecosystem for machine learning in R.