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Use when writing or fixing dplyr code, when a filter returns zero rows or a recoded column has unexpected NA, when a grouped summary has missing groups or stays grouped, or when explaining these verbs to a learner. Governs reshaping a data frame in R with dplyr before it feeds a dashboard. Do not use for reading files or APIs (r-data-prep), statistical tests (r-stats-foundations) or chart code (r-dashboard-design).
r-dplyr-wrangling is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # R dplyr wrangling Stance: check the data before and after every verb (frozen); base R, dplyr or data.table is flexible and the project's style wins. Teach one. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding r-dplyr-wrangling to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install KinwiseNZ-DevOps/r-datadashReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# R dplyr wrangling Stance: check the data before and after every verb (frozen); base R, dplyr or data.table is flexible and the project's style wins. Teach one verb at a time, run