스킬 r-development

📊

r-development

Name: r-development
Author: CodingKaiser

안전 ⚙️ 외부 명령어🌐 네트워크 접근

Write modern R code with tidyverse patterns

Writing R code with outdated patterns wastes time and creates technical debt. This skill provides current best practices for tidyverse, rlang metaprogramming, and package development so you can write clean, efficient R code.

지원: Claude Codex Code(CC)

📊 71 적절함

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테스트해 보기

"r-development" 사용 중입니다. Show me how to summarize data by group with modern dplyr

예상 결과:

Use .by parameter for per-operation grouping
Returns ungrouped result automatically
Example: data |> summarise(mean(x), .by = category)
Works with across() for multiple columns

"r-development" 사용 중입니다. How do I create an R package with modern structure

예상 결과:

Start with usethis::create_package() for proper structure
Add dependencies in DESCRIPTION Imports field
Use roxygen2 for documentation from code comments
Set up tests with testthat framework

보안 감사

안전

v5 • 1/16/2026

Pure documentation skill containing only markdown files with R code examples. No executable code, network calls, filesystem access, or external commands. All capabilities align with stated purpose. Static scanner flagged patterns in documentation text as security issues, but all are false positives.

스캔된 파일

1,680

분석된 줄 수

발견 사항

총 감사 수

위험 요인

⚙️ 외부 명령어 (182)

🌐 네트워크 접근 (1)

skill-report.json:6

감사자: claude 감사 이력 보기 →

품질 점수

아키텍처

100

유지보수성

콘텐츠

커뮤니티

100

보안

사양 준수

만들 수 있는 것

Modernize data pipelines

Upgrade legacy R code to current tidyverse patterns for cleaner, faster data pipelines.

Build quality packages

Create maintainable R packages with proper structure, testing, and documentation.

Optimize slow code

Identify and fix performance bottlenecks using profiling and benchmarking tools.

이 프롬프트를 사용해 보세요

Filter data

Show me how to filter rows in R using modern dplyr with multiple conditions and .by grouping.

Join tables

Write an inner join using join_by() with inequality matching and multiple match handling.

Create function

Create an R function that uses rlang {{ }} syntax to accept column names as arguments.

Build package

Set up a complete R package structure with DESCRIPTION, NAMESPACE, testing, and proper documentation patterns.

모범 사례

Use native pipe |> instead of magrittr %>% for modern R 4.1+
Profile code with profvis before optimizing to find real bottlenecks
Validate inputs in user-facing functions, assume valid in internal helpers

피하기

Avoid group_by() |> summarise() |> ungroup() pattern, use .by instead
Do not use library() in packages, use Imports in DESCRIPTION
Avoid growing vectors in loops, pre-allocate instead

자주 묻는 질문

Which R version is required for modern tidyverse patterns?

R 4.1+ is required for native pipe |>. dplyr 1.1+ required for join_by() and .by.

What is the difference between {{}} and .data[[]]?

{{}} forwards column arguments to data-masking functions. .data[[]] accesses columns by name as strings.

How do I integrate this skill with existing R projects?

Reference the skill when writing R code or need guidance. It provides patterns to apply in your existing codebase.

Does this skill store or share my data?

No. This is a read-only documentation skill with no file, network, or data access capabilities.

How is this different from R documentation websites?

This skill curates best practices specifically for AI assistants, with focused examples and actionable guidance.

Should I use S3 or S7 for new projects?

Use S7 for new projects needing validation and structure. S3 remains good for simple classes and maximum compatibility.

개발자 세부 정보

작성자

CodingKaiser

라이선스

MIT

리포지토리

https://github.com/CodingKaiser/claude-kaiser-skills/tree/main/r-development

참조

main

파일 구조

📁 references/

📄 object-systems.md

📄 package-development.md

📄 performance.md

📄 rlang-patterns.md

📄 SKILL.md