Scaffold R project directories and template files for RAP compliance.
npx skills add https://github.com/ivyleavedtoadflax/RapSkill --skill rap-init
Please help me install this Agent Skill. Skill: rap-init Source: https://github.com/ivyleavedtoadflax/RapSkill/tree/main/plugins/rap/skills/rap-init Command: npx skills add https://github.com/ivyleavedtoadflax/RapSkill --skill rap-init
This Skill automates the creation of a new R project structured for Reproducible Analytical Pipelines (RAP), ensuring immediate compliance with Baseline RAP standards and providing a foundation for higher maturity levels.
R/, data/, output/, tests/testthat/, reports/).DESCRIPTION, README.md, .gitignore, RStudio project file (.Rproj), and initial R scripts.renv package manager for dependency management./rap-init my-new-analysis to quickly set up a project that adheres to government RAP guidelines, saving setup time and ensuring best practices from the start.Use the rap-init skill to scaffold a new RAP-compliant R project named 'my-statistics-pipeline'.
High-intent search queries and answers about installing and using this skill.
To scaffold a Reproducible Analytical Pipelines (RAP) project, this Skill generates standard directory structures like `R/`, `data/`, and `tests/`, along with essential template files for immediate compliance with UK Government Analysis Function methodology.
A Baseline RAP compliant R project structure includes standardized folders for code and data, template files like `DESCRIPTION` and `README.md`, and initializes Git and `renv` to satisfy government reproducibility requirements.
Yes, this RAP scaffolding initializes Git version control and the `renv` package manager automatically, establishing robust dependency tracking and reproducible environments from the project's inception.
Yes, you can use this to set up an R project for official statistics. It scaffolds directories and files that satisfy Baseline RAP requirements, providing a foundation for higher Silver compliance maturity levels.
When setting up a RAP project, template files created include `DESCRIPTION`, `README.md`, `.gitignore`, an RStudio project file (`.Rproj`), and initial R scripts to accelerate your analytical pipeline development.
naoto-iwaseExecute R code in RStudio via MCP tools and return results.
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ivyleavedtoadflaxSets up the testthat framework and generates skeleton test files for R projects.
ivyleavedtoadflaxGenerates R code for accessible spreadsheets, GOV.UK charts, and R Markdown reports using Analysis Function standards.