Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install posit-dev-skills-r-lib-r-cli-appgit clone https://github.com/posit-dev/skills.gitcp skills/SKILL.MD ~/.claude/skills/posit-dev-skills-r-lib-r-cli-app/SKILL.md---
name: r-cli-app
description: Build command-line apps in R using the Rapp package. Use when creating a CLI tool in R, adding argument parsing to an R script, turning an R script into a command-line app, shipping CLIs in an R package, or using Rapp (the alternative Rscript front-end). Also use for shebang scripts, exec/ directory in R packages, or subcommand-based R tools.
metadata:
author: Garrick Aden-Buie (@gadenbuie)
version: "1.1"
license: MIT
---
# Building CLI Apps with Rapp
Rapp (v0.3.0) is an R package that provides a drop-in replacement for `Rscript`
that automatically parses command-line arguments into R values. It turns simple
R scripts into polished CLI apps with argument parsing, help text, and subcommand
support — with zero boilerplate.
**R ≥ 4.1.0** | **CRAN:** `install.packages("Rapp")` | **GitHub:** `r-lib/Rapp`
After installing, put the `Rapp` launcher on PATH:
```r
Rapp::install_pkg_cli_apps("Rapp")
```
This places the `Rapp` executable in `~/.local/bin` (macOS/Linux) or
`%LOCALAPPDATA%\Programs\R\Rapp\bin` (Windows).
---
## Core Concept: Scripts Are the Spec
Rapp scans **top-level expressions** of an R script and converts specific
patterns into CLI constructs. This means:
1. The same script works identically via `source()` and as a CLI tool.
2. You write normal R code — Rapp infers the CLI from what you write.
3. Default values in your R code become the CLI defaults.
Only top-level assignments are recognized. Assignments inside functions,
loops, or conditionals are not parsed as CLI arguments.
---
## Pattern Recognition: R → CLI Mapping
This table is the heart of Rapp — each R pattern automatically maps to a
CLI surface:
| R Top-Level Expression | CLI Surface | Notes |
|---|---|---|
| `foo <- "text"` | `--foo <value>` | String option |
| `foo <- 1L` | `--foo <int>` | Integer option |
| `foo <- 3.14` | `--foo <float>` | Float option |
| `foo <- TRUE` / `FALSE` | `--foo` / `--no-foo` | Boolean toggle |
| `foo <- NA_integer_` | `--foo <int>` | Optional integer (NA = not set) |
| `foo <- NA_character_` | `--foo <str>` | Optional string (NA = not set) |
| `foo <- NULL` | positional arg | Required by default |
| `foo... <- NULL` | variadic positional | Zero or more values |
| `foo <- c()` | repeatable `--foo` | Multiple values as strings |
| `foo <- list()` | repeatable `--foo` | Multiple values parsed as YAML/JSON |
| `switch("", cmd1={}, cmd2={})` | subcommands | `app cmd1`, `app cmd2` |
| `switch(cmd <- "", ...)` | subcommands | Same; captures command name in `cmd` |
### Type behavior
- **Non-string scalars** are parsed as YAML/JSON at the CLI and coerced to the
R type of the default. `n <- 5L` means `--n 10` gives integer `10L`.
- **NA defaults** signal optional arguments. Test with `!is.na(myvar)`.
- **Snake case** variable names map to kebab-case: `n_flips` → `--n-flips`.
- **Positional args** always arrive as character strings — convert manually.
---
## Script Structure
### Shebang line
```r
#!/usr/bin/env Rapp
```
Makes the script directly executable on macOS/Linux after `chmod +x`.
On Windows, call `Rapp myscript.R` explicitly.
### Front matter metadata
Hash-pipe comments (`#|`) before any code set script-level metadata:
```r
#!/usr/bin/env Rapp
#| name: my-app
#| title: My App
#| description: |
#| A short description of what this app does.
#| Can span multiple lines using YAML block scalar `|`.
```
The `name:` field sets the app name in help output (defaults to filename).
### Per-argument annotations
Place `#|` comments immediately before the assignment they annotate:
```r
#| description: Number of coin flips
#| short: 'n'
flips <- 1L
```
Available annotation fields:
| Field | Purpose |
|---|---|
| `description:` | Help text shown in `--help` |
| `title:` | Display title (for subcommands and front matter) |
| `short:` | Single-letter alias, e.g. `'n'` → `-n` |
| `required:` | `true`/`false` — for positional args only |
| `val_type:` | Override type: `string`, `integer`, `float`, `bool`, `any` |
| `arg_type:` | Override CLI type: `option`, `switch`, `positional` |
| `action:` | For repeatable options: `replace` or `append` |
Add `#| short:` for frequently-used options — users expect single-letter
shortcuts for common flags like verbose (`-v`), output (`-o`), or count (`-n`).
---
## Named Options
Scalar literal assignments become named options:
```r
name <- "world" # --name <value> (string, default "world")
count <- 1L # --count <int> (integer, default 1)
threshold <- 0.5 # --threshold <flt> (float, default 0.5)
seed <- NA_integer_ # --seed <int> (optional, NA if omitted)
output <- NA_character_ # --output <str> (optional, NA if omitted)
```
For optional arguments, test whether the user supplied them:
```r
seed <- NA_integer_
if (!is.na(seed)) set.seed(seed)
```
## Boolean Switches
`TRUE`/`FALSE` assignments become toggles:
```r
verbose <- FALSE # --verbose or --no-verbose
wrap <- TRUE # --wrap (default) or --no-wrap
```
Values `yes`/`true`/`1` set TRUE; `no`/`false`/`0` set FALSE.
## Repeatable Options
```r
pattern <- c() # --pattern '*.csv' --pattern 'sales-*' → character vector
threshold <- list() # --threshold 5 --threshold '[10,20]' → list of parsed values
```
## Positional Arguments
Assign `NULL` for positional args (required by default):
```r
#| description: The input file to process.
input_file <- NULL
```
Make optional with `#| required: false`. Test with `is.null(myvar)`.
### Variadic positional args
Use `...` suffix to collect multiple positional values:
```r
pkgs... <- c()
# install-pkgs dplyr ggplot2 tidyr → pkgs... = c("dplyr", "ggplot2", "tidyr")
```
---
## Subcommands
Use `switch()` with a string first argument to declare subcommands.
Options before the `switch()` are global; options inside branches are
local to that subcommand.
```r
switch(
command <- "",
#| title: Display the todos
list = {
#| description: Max entries to display (-1 for all).
limit <- 30L
# ... list implementation
},
#| title: Add a new todo
add = {
#| description: Task description to add.
task <- NULL
# ... add implementation
},
#| title: Mark a task as completed
done = {
#| description: Index of the task to complete.
index <- 1L
# ... done implementation
}
)
```
Help is scoped: `myapp --help` lists commands; `myapp list --help` shows
list-specific options plus globals. Subcommands can nest by placing another
`switch()` inside a branch.
---
## Built-in Help
Every Rapp automatically gets `--help` (human-readable) and `--help-yaml`
(machine-readable). These work with subcommands too.
---
## Development and Testing
### Interactive Development
Use `Rapp::run()` to test scripts from an R session:
```r
Rapp::run("path/to/myapp.R", c("--help"))
Rapp::run("path/to/myapp.R", c("--name", "Alice", "--count", "5"))
```
It returns the evaluation environment (invisibly) for inspection, and
supports `browser()` for interactive debugging.
### Testing CLI Apps in Packages
Use `Rapp::run()` with `testthat` snapshot testing. Test computed values by
accessing the returned environment, and test output with `expect_snapshot()`.
**See [references/advanced.md](references/advanced.md#testing-cli-apps)** for
detailed testing patterns, including:
- Accessing computed values via the evaluation environment
- Snapshot testing for help output and formatted text
- Testing file side effects and state changes
---
## Complete Example: Coin Flipper
```r
#!/usr/bin/env Rapp
#| name: flip-coin
#| description: |
#| Flip a coin.
#| description: Number of coin flips
#| short: 'n'
flips <- 1L
sep <- " "
wrap <- TRUE
seed <- NA_integer_
if (!is.na(seed)) {
set.seed(seed)
}
cat(sample(c("heads", "tails"), flips, TRUE), sep = sep, fill = wrap)
```
```sh
flip-coin # heads
flip-coin -n 3 # heads tails heads
flip-coin --seed 42 -n 5
flip-coin --help
```
Generated help:
```
Usage: flip-coin [OPTIONS]
Flip a coin.
Options:
-n, --flips <FLIPS> Number of coin flips [default: 1] [type: integer]
--sep <SEP> [default: " "] [type: string]
--wrap / --no-wrap [default: true]
--seed <SEED> [default: NA] [type: integer]
```
## Complete Example: Todo Manager (Subcommands)
```r
#!/usr/bin/env Rapp
#| name: todo
#| description: Manage a simple todo list.
#| description: Path to the todo list file.
#| short: s
store <- ".todo.yml"
switch(
command <- "",
list = {
#| description: Max entries to display (-1 for all).
limit <- 30L
tasks <- if (file.exists(store)) yaml::read_yaml(store) else list()
if (!length(tasks)) {
cat("No tasks yet.\n")
} else {
if (limit >= 0L) tasks <- head(tasks, limit)
writeLines(sprintf("%2d. %s\n", seq_along(tasks), tasks))
}
},
add = {
#| description: Task description to add.
task <- NULL
tasks <- if (file.exists(store)) yaml::read_yaml(store) else list()
tasks[[length(tasks) + 1L]] <- task
yaml::write_yaml(tasks, store)
cat("Added:", task, "\n")
},
done = {
#| description: Index of the task to complete.
#| short: i
index <- 1L
tasks <- if (file.exists(store)) yaml::read_yaml(store) else list()
task <- tasks[[as.integer(index)]]
tasks[[as.integer(index)]] <- NULL
yaml::write_yaml(tasks, store)
cat("Completed:", task, "\n")
}
)
```
```sh
todo add "Write quarterly report"
todo list
todo list --limit 5
todo done 1
todo --store /tmp/work.yml list
```
---
## Shipping CLIs in an R Package
Place CLI scripts in `exec/` and add `Rapp` to `Imports` in DESCRIPTION:
```
mypkg/
├── DESCRIPTION
├── R/
├── exec/
│ ├── myapp # script with #!/usr/bin/env Rapp shebang
│ └── myapp2
└── man/
```
Users install the CLI launchers after installing the package:
```r
Rapp::install_pkg_cli_apps("mypkg")
```
Expose a convenience installer so users don't need to know about Rapp:
```r
#' Install mypkg CLI apps
#' @export
install_mypkg_cli <- function(destdir = NULL) {
Rapp::install_pkg_cli_apps(package = "mypkg", destdir = destdir)
}
```
By default, launchers set `--default-packages=base,<pkg>`, so only `base`
and the package are auto-loaded. Use `library()` for other dependencies.
---
## Quick Reference: Common Patterns
### NA vs NULL for optional arguments
- **NA** (`NA_integer_`, `NA_character_`) → optional **named option**.
Test: `!is.na(x)`.
- **NULL** + `#| required: false` → optional **positional arg**.
Test: `!is.null(x)`.
### stdin/stdout
```r
input_file <- NA_character_
con <- if (is.na(input_file)) file("stdin") else file(input_file, "r")
lines <- readLines(con)
writeLines(lines, stdout())
```
### Exit codes and stderr
```r
message("Error: something went wrong") # writes to stderr
cat("Error:", msg, "\n", file = stderr()) # also stderr
quit(status = 1) # non-zero exit
```
### Error handling
```r
tryCatch({
result <- do_work()
}, error = function(e) {
cat("Error:", conditionMessage(e), "\n", file = stderr())
quit(status = 1)
})
```
---
## Additional Reference
For less common topics — launcher customization (`#| launcher:` front matter),
detailed `Rapp::install_pkg_cli_apps()` API options, and more complete examples
(deduplication filter, variadic install-pkg, interactive fallback) — read
`references/advanced.md`.