rlang-patterns
rlang metaprogramming patterns for data-masking, injection operators, and dynamic dots. Use when writing functions that use tidy evaluation.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill rlang-patterns --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Modern rlang Patterns for Data-Masking *Metaprogramming framework that powers tidyverse data-masking* ## Core Concepts **Data-masking** allows R expressions to refer to data frame columns as if they were variables in the environment. rlang provides the metaprogramming framework that powers tidyverse data-masking. ### Key rlang Tools - **Embracing `{{}}`** - Forward function arguments to data-mas
What does the rlang-patterns skill do?
rlang metaprogramming patterns for data-masking, injection operators, and dynamic dots. Use when writing functions that use tidy evaluation.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill rlang-patterns --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.