Author R-based CLIs with Rapp using top-level option declarations and subcommands.
npx skills add https://github.com/nq-rdl/agent-extensions --skill r-lib-cli-app
Please help me install this Agent Skill. Skill: r-lib-cli-app Source: https://github.com/nq-rdl/agent-extensions/tree/main/skills/r-lib-cli-app Command: npx skills add https://github.com/nq-rdl/agent-extensions --skill r-lib-cli-app
Streamlines turning ordinary R scripts into robust, command-line tools by providing a standardized CLI layer with argument parsing, subcommands, and automated help.
Install the Rapp package, write top-level R expressions with a shebang, and run the script as a CLI tool.
High-intent search queries and answers about installing and using this skill.
You can create an R command-line tool by using Rapp to declare CLI options and switch-based subcommands via top-level assignments. This automatically generates the required argument parsing and help text for your R scripts.
Yes, you can turn a standalone R script into a CLI by adding a shebang and writing top-level R expressions. Rapp works across packaging scenarios, allowing you to ship robust command-line tools without requiring an R package structure.
The best way to generate help text automatically is to use Rapp, which builds your CLI interface directly from top-level expressions. This provides consistent help generation and defaults without requiring manual documentation setup.
Yes, Rapp supports switch-based subcommands for get/set/list style command-line apps. You can organize your R scripting tools using standard switch() patterns to handle distinct subcommand logic cleanly.
Use Rapp instead of Rscript to get a standardized CLI layer that automatically parses arguments and generates help. Rapp acts as a drop-in replacement that transforms ordinary R scripts into robust command-line applications.
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