Guide R users to modern tidyverse patterns with dplyr 1.1+ and R 4.3+.
npx skills add https://github.com/jhelvy/dotfiles --skill tidyverse-patterns-jhelvy
Please help me install this Agent Skill. Skill: tidyverse-patterns Source: https://github.com/jhelvy/dotfiles/tree/main/claude/skills/tidyverse-patterns Command: npx skills add https://github.com/jhelvy/dotfiles --skill tidyverse-patterns-jhelvy
This Skill helps R users adopt and implement modern, efficient, and readable coding patterns within the tidyverse ecosystem, improving code quality and maintainability.
|>), modern join syntax (join_by()), and tidy selection ({{}}, .data[[]]).%>% and character vectors for joins. They can consult this Skill to update the code to use |> and join_by() for better clarity and performance.Update the provided R code snippet to use modern tidyverse pipe syntax.
High-intent search queries and answers about installing and using this skill.
To update R code to use the native pipe, replace `%>%` with `|>` and adjust surrounding syntax to maintain readability. This modern tidyverse pattern improves code clarity and aligns with R 4.3+ best practices for efficient, maintainable scripting.
Modern dplyr 1.1+ joins use the `join_by()` function instead of character vectors to specify join columns. This tidyverse pattern provides better clarity, supports flexible join conditions, and improves overall code readability during data wrangling.
To refactor old R scripts, migrate older syntax to modern tidyverse patterns by adopting `|>`, `join_by()`, and tidy selection like `{{}}`. This process emphasizes profiling before optimizing and adheres to the tidyverse style guide for better maintainability.
Yes, tidy selection using `{{}}` and `.data[[]]` works seamlessly with dplyr and purrr functions. These modern tidyverse patterns allow flexible column selection and robust function programming while maintaining strict adherence to R 4.3+ style guidelines.
Common tidyverse anti-patterns include premature optimization without profiling, overusing complex nested pipes, and ignoring modern dplyr 1.1+ syntax. Avoid these by prioritizing readability, using `join_by()`, and following the tidyverse style guide for efficient R code.
Modern tidyverse patterns focusing on `|>`, `join_by()`, and tidy selection are optimized for R 4.3+ and dplyr 1.1+. Using these features in older R versions may cause compatibility issues, so migrating your environment is recommended for full functionality.
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