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SkillHub ClubResearch & OpsFull StackData / AI

r-data-science

R programming for data analysis, visualization, and statistical workflows. Use when working with R scripts (.R), Quarto documents (.qmd), RMarkdown (.Rmd), or R projects. Covers tidyverse workflows, ggplot2 visualizations, statistical analysis, epidemiological methods, and reproducible research practices.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
784
Hot score
99
Updated
March 20, 2026
Overall rating
C5.4
Composite score
5.4
Best-practice grade
A88.4

Install command

npx @skill-hub/cli install benchflow-ai-skillsbench-r-data-science

Repository

benchflow-ai/SkillsBench

Skill path: registry/terminal_bench_2.0/full_batch_reviewed/terminal_bench_2_0_mcmc-sampling-stan/environment/skills/r-data-science

R programming for data analysis, visualization, and statistical workflows. Use when working with R scripts (.R), Quarto documents (.qmd), RMarkdown (.Rmd), or R projects. Covers tidyverse workflows, ggplot2 visualizations, statistical analysis, epidemiological methods, and reproducible research practices.

Open repository

Best for

Primary workflow: Research & Ops.

Technical facets: Full Stack, Data / AI.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: benchflow-ai.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install r-data-science into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/benchflow-ai/SkillsBench before adding r-data-science to shared team environments
  • Use r-data-science for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

r-data-science | SkillHub