Jsperger Llm R Skills
jsperger-llm-r-skills is a Claude Code plugin for the Build phase that adds tidyverse-focused R coding agent skills for pipelines, modeling, and visualization.
by jsperger · github.com/jsperger/llm-r-skills
Equip Claude Code with tidyverse-aware R skills for pipelines, modeling, ggplot2 plots, and idiomatic metaprogramming while you build data products.
Add it to Claude Code
Install the plugin in Claude Code. One command, paste-ready.
/plugin install jsperger-llm-r-skills@jsperger/llm-r-skillsBuilt to be called by your agent
Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.
Retrieve this entry with skillselion.get_details("plugin:jsperger/llm-r-skills") and the paste-ready config with skillselion.get_install_config("plugin:jsperger/llm-r-skills").
What it does
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. Solo builders 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.
Highlights
- 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.
Why builders use it
R builders using AI agents get Python-flavored snippets, wrong tidyverse idioms, and fragile pipelines that do not match targets or tidymodels practice.
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.
At a glance
- Type - Plugin in Development Tools.
- Adoption - 0 installs, 3 stars, 0 votes.
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.
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