Agent skill · Documentation

r-style-guide

R style guide covering naming conventions, spacing, layout, and function design best practices. Use when writing R code.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill r-style-guide --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/55-ab604-claude-code-r-skills/skills/r-style-guide/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# R Style Guide & Function Writing Best Practices *Consistent naming, spacing, structure, and function design for R code* ## Function Writing Best Practices ### Structure and Style ```r # Good function structure rescale01 <- function(x) { rng <- range(x, na.rm = TRUE, finite = TRUE) (x - rng[1]) / (rng[2] - rng[1]) } # Use type-stable outputs map_dbl() # returns numeric vector map_chr() # returns

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About this skill
What does the r-style-guide skill do?

R style guide covering naming conventions, spacing, layout, and function design best practices. Use when writing R code.

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill r-style-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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