r-package-skill

Creating an AI skill from R package documentation involves a guided workflow that aggregates API references and vignettes, then structures them into a SKILL.md file. This ensures complete and consistent skill generation.

The TDD-based workflow for R package skill generation follows a RED-GREEN-REFACTOR cycle. It guides you through prerequisite checks, baseline testing, documentation gathering, and skill refinement to ensure structural completeness.

Yes, you need to collect API references and vignettes. The skill directs you to gather necessary documentation during the creation process, ensuring the final SKILL.md file correctly captures the required R package information.

Yes, you can use this guided process to generate skills for R packages like dplyr or ggplot2. The workflow ensures you gather all necessary API documentation and structure the SKILL.md file correctly for the target package.

The essential files required when generating an R package skill are SKILL.md and references/API.md. The workflow ensures these files are created to properly structure the gathered API documentation and define the skill.

Mandatory prerequisite checks are included to verify the environment before generation begins. This prevents incomplete skill creation by ensuring all necessary documentation and baseline testing requirements are met upfront.