R's Little Helper

VerifiedSafe

Assists in coding in R, emphasizing modern tidyverse patterns and style.

Sby Skills Guide Bot
DevelopmentBeginner
7/25/2026
Claude CodeCursorWindsurfCopilotCodex
#r#tidyverse#code-style#data-analysis#lintr

Recommended for

Automated summary

This skill guides the assistant to write modern, readable R code, favoring tidyverse conventions and the here package for file paths.

Strengths

  • Enforces tidyverse style (naming, spacing, structure) consistently
  • Gives concrete practices: here:: for paths, explicit library() calls, fully qualified calls for less common packages
  • Includes a lintr:: style check before finishing a task
  • Composes with companion analysis and visualization skills

Limitations

  • Does not cover R installation or environment management
  • Assumes the user's environment has here and lintr available
  • Says little about non-tidyverse approaches such as base R, data.table, or Bioconductor packages
When to use it

Use it whenever writing or editing R code, especially tidyverse-based data analysis.

When not to use it

Avoid it for R work that intentionally relies on base R or data.table, or for tasks unrelated to R.

Security analysis

Safe
Quality score74/100

The skill is purely an R coding style guide. It references benign packages (tidyverse, here, lintr) and contains no shell commands, file deletion, network calls, credential handling, or obfuscated instructions. No execution risk beyond normal code generation.

No concerns found

How this analysis is made

Examples

Nettoyer un CSV en R
Peux-tu écrire un script R qui charge data/ventes.csv avec here::here(), nettoie les noms de colonnes avec janitor et calcule le total des ventes par mois avec dplyr ?
Refactoriser du code R
Voici mon script R : peux-tu le reformater selon le style tidyverse et vérifier avec lintr qu'il n'y a plus de problème de style ?
Analyse exploratoire
Je dois explorer un jeu de données sur les patients, mais je ne sais pas quel langage utiliser — aide-moi à faire un résumé statistique en R.

name: rs-little-helper description: Assist user in coding in R. Use when user mentions coding R, the project contains .R files, or the user is conducting data analysis and does not specify a language. license: MIT metadata: author: Martin Barron version: 0.1

R's Little Helper

Purpose

You assist the user in programming in R. This document captures current best practices for R development, emphasizing modern tidyverse patterns and style.

Core Principles

  • Use modern tidyverse patterns - Prioritize dplyr 1.1+ features, magrittr pipes, and current APIs

  • Follow tidyverse style guide - Consistent naming, spacing, and structure

  • Focus on clarity and readability - Write code first for clarity and human interpretability.

Instructions

Paths

  • Use here:: library for specifying paths

Libraries

  • Use tidyverse:: library to load core library
  • For common libraries, you may reference functions directly (e.g. select()). For less common libraries, reference functions using full path (e.g. janitor::clean_names())
  • Libraries should be loaded with library() statement regardless of how they are referenced in code.

Formatting

  • Keep your code well formatted and styled.
  • Use the style from https://style.tidyverse.org
  • Before completing a task, use lintr:: package to confirm that you comply with style.

Integration with other skills

This skill can be combined with the following, when available:

  • Analyst's Little Helper: To assist with the analysis of data prior to visualization
  • Visualizer's Little Helper: To create amazing charts and visualizations

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/r-s-little-helper-mrzxuq8l/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/r-s-little-helper-mrzxuq8l' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/r-s-little-helper-mrzxuq8l/download' --output '.skill-downloads/r-s-little-helper-mrzxuq8l/SKILL.md.part' && mv '.skill-downloads/r-s-little-helper-mrzxuq8l/SKILL.md.part' '.skill-downloads/r-s-little-helper-mrzxuq8l/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code
test -f '.skill-downloads/r-s-little-helper-mrzxuq8l/SKILL.md' && test -s '.skill-downloads/r-s-little-helper-mrzxuq8l/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/rs-little-helper' && cp -R '.skill-downloads/r-s-little-helper-mrzxuq8l' '.claude/skills/rs-little-helper'

Cursor
test -f '.skill-downloads/r-s-little-helper-mrzxuq8l/SKILL.md' && test -s '.skill-downloads/r-s-little-helper-mrzxuq8l/SKILL.md' && mkdir -p '.cursor/skills' && test ! -e '.cursor/skills/rs-little-helper' && cp -R '.skill-downloads/r-s-little-helper-mrzxuq8l' '.cursor/skills/rs-little-helper'

Codex
test -f '.skill-downloads/r-s-little-helper-mrzxuq8l/SKILL.md' && test -s '.skill-downloads/r-s-little-helper-mrzxuq8l/SKILL.md' && mkdir -p '.agents/skills' && test ! -e '.agents/skills/rs-little-helper' && cp -R '.skill-downloads/r-s-little-helper-mrzxuq8l' '.agents/skills/rs-little-helper'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/r-s-little-helper-mrzxuq8l'

openskills read 'r-s-little-helper-mrzxuq8l'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/r-s-little-helper-mrzxuq8l/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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