Jsperger Llm R Skills
- 13 repo stars
- Updated July 10, 2026
- jsperger/llm-r-skills
jsperger-llm-r-skills is a Claude Code plugin that adds tidyverse-focused R coding agent skills for pipelines, modeling, and visualization.
About
jsperger-llm-r-skills is a Claude Code plugin that packages agent skills for R programmers who want Claude to respect tidyverse idioms instead of inventing pseudo-R from other languages. The described keyword surface points at pipelines, ggplot2 visualization, tidymodels modeling, targets orchestration, rlang metaprogramming, and robust condition patterns—exactly the areas where generic LLM assistance often breaks reproducibility or style guides. developers shipping analysis scripts, Shiny-adjacent apps, research code, or internal data APIs benefit most during Build when the agent is writing and refactoring R daily. This is phase-specific agent tooling: it does not replace statistical judgment or production R environment setup on your machine. Install when you already work in R and want Skillselion-class discoverability for a focused language plugin rather than a broad data platform integration. One plugin in the repo keeps scope narrow and approachable for beginners comfortable with R basics.
- Coding agent skills scoped to R programming—not generic Python defaults.
- Coverage for tidyverse, ggplot2, tidymodels, targets, and rlang metaprogramming.
- Pipeline and workflow patterns for reproducible analysis projects.
- Condition-handling and idiomatic R patterns for safer generated code.
- Single-plugin bundle aimed at data science builders using Claude Code.
Jsperger Llm R Skills by the numbers
- Data as of Jul 15, 2026 (Skillselion catalog sync)
/plugin install jsperger-llm-r-skills@jsperger/llm-r-skillsAdd your badge
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| repo stars | ★ 13 |
|---|---|
| Last updated | July 10, 2026 |
| Repository | jsperger/llm-r-skills ↗ |
What it does
Equip Claude Code with tidyverse-aware R skills for pipelines, modeling, ggplot2 plots, and idiomatic metaprogramming while you build data products.
Who is it for?
Best when you live in R and want Claude Code to follow tidyverse, targets, and tidymodels conventions during implementation.
Skip if: Skip if you're building only TypeScript frontends or greenfield Python ML with no R toolchain installed locally.
What you get
After install, Claude Code applies R-specific skills covering tidyverse, ggplot2, tidymodels, targets, and rlang patterns so generated code aligns with common solo data-science workflows.
- R-oriented agent skill behavior for pipelines, models, and plots
- More idiomatic generated R aligned with stated package ecosystems
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Language-specific agent skills for R, not an R runtime MCP or a general analytics dashboard plugin.
FAQ
Who is Jsperger Llm R Skills for?
Claude Code users who program in R and want agent assistance aligned with tidyverse, ggplot2, tidymodels, and targets workflows.
When should I use Jsperger Llm R Skills?
Use it during Build when you are writing pipelines, models, or plots in R and need the agent to follow idiomatic patterns and project structure.
How do I add Jsperger Llm R Skills to my agent?
Add the jsperger/llm-r-skills repository as a Claude Code plugin, enable the bundled skill plugin, and ensure R and your usual packages are available in your local environment.