r skills

211 tagged r, measured the same way as everything else here.

Browse within: claude-code-skill 200claude-skill 200data-science 200duckdb 9olap 9claude-code-plugin 6machine-learning 6

shiny-for-r

01

rstudio/shiny

Skill Claude CodeCodex

Building, styling, testing, debugging, or observing a Shiny for R app - library(shiny), shinyApp(), runApp(). Index skill: read this, then open the linked reference for the task. Covers reactivity (reactive/observe/req/isolate/bindEvent); modules; async promises and ExtendedTask; bslib layouts, navigation, cards…

not rated 5.7k +3 today A SkillSpector: pass 202 tokens

tidy-r

02

statzhero/tidy-r-skill

Skill Claude Code

Modern tidyverse patterns, style guide, and migration guidance for R development. Use this skill when writing R code, reviewing tidyverse code, updating legacy R code, or enforcing consistent style. Covers native pipe usage, joinby() syntax, .by grouping, pick/across/reframe, filterout/whenany/whenall…

not rated 24 4mo ago A 102 tokens original MIT

six-sigma-r

03

robustagile/six-sigma-in-r-skill

Skill Claude CodeCodex

Generates R implementations for Six Sigma / statistical-process-control tasks — control charts (X-bar R, I-MR, P, NP, C, U), process capability (Cp/Cpk/Pp/Ppk), DPMO and sigma level, Pareto and run charts, histograms, box plots, scatter/regression, correlation, hypothesis tests (1- and 2-sample t, proportion…

not rated 12 6mo ago A 339 tokens original Apache-2.0

base-r

04

iremaydas/base-r-skill

Skill Claude CodeCodex

Provides base R programming guidance covering data structures, data wrangling, statistical modeling, visualization, and I/O — using only packages included in a standard R installation. Use when the user writes or debugs R scripts, works with vectors, matrices, lists, data frames, or factors, applies the apply family…

not rated 10 6mo ago A 207 tokens original MIT

r-analytics

05

LeoLin990405/r-analytics-skill

Skill Claude CodeCodex

R language data analysis and visualization skill. Use when user asks to (1) run R scripts or code, (2) install/update R packages, (3) perform data analysis with R, (4) create visualizations with ggplot2/plotly, (5) statistical analysis, (6) data manipulation with tidyverse/dplyr/data.table. Triggers on keywords like…

not rated 5 7mo ago A 109 tokens original MIT

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