scaffold-shiny-app
关于
This skill scaffolds new Shiny applications in R with three framework options: golem for production packages, rhino for enterprise applications, or vanilla for quick prototypes. It handles framework selection, project initialization, and can generate a first module. Use it when starting interactive R web apps, dashboard prototypes, or production-ready Shiny applications.
快速安装
Claude Code
推荐npx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/scaffold-shiny-app在 Claude Code 中复制并粘贴此命令以安装该技能
技能文档
Scaffold Shiny App
Create new Shiny w/ prod-ready structure → golem|rhino|vanilla.
Use When
- New interactive R web app
- Dashboard|data explorer proto
- Prod Shiny as R pkg (golem)
- Enterprise Shiny (rhino)
In
- Required: App name
- Required: Framework (golem|rhino|vanilla)
- Optional: Module scaffold (default yes)
- Optional: renv (default yes)
- Optional: Deploy target (shinyapps.io|Posit Connect|Docker)
Do
Step 1: Choose Framework
| Framework | Best For | Structure |
|---|---|---|
| golem | Production apps shipped as R packages | R package with DESCRIPTION, tests, vignettes |
| rhino | Enterprise apps with JS/CSS build pipeline | box modules, Sass, JS bundling, rhino::init() |
| vanilla | Quick prototypes and learning | Single app.R or ui.R/server.R pair |
→ Clear decision by scope + team needs.
If err: unsure → default golem (most structure, can simplify). Vanilla only for throwaway protos.
Step 2: Scaffold
Golem
golem::create_golem("myapp", package_name = "myapp")
Creates:
myapp/
├── DESCRIPTION
├── NAMESPACE
├── R/
│ ├── app_config.R
│ ├── app_server.R
│ ├── app_ui.R
│ └── run_app.R
├── dev/
│ ├── 01_start.R
│ ├── 02_dev.R
│ ├── 03_deploy.R
│ └── run_dev.R
├── inst/
│ ├── app/www/
│ └── golem-config.yml
├── man/
├── tests/
│ ├── testthat.R
│ └── testthat/
└── vignettes/
Rhino
rhino::init("myapp")
Creates:
myapp/
├── app/
│ ├── js/
│ ├── logic/
│ ├── static/
│ ├── styles/
│ ├── view/
│ └── main.R
├── tests/
│ ├── cypress/
│ └── testthat/
├── .github/
├── app.R
├── dependencies.R
├── rhino.yml
└── renv.lock
Vanilla
Create app.R:
library(shiny)
library(bslib)
ui <- page_sidebar(
title = "My App",
sidebar = sidebar(
sliderInput("n", "Sample size", 10, 1000, 100)
),
card(
card_header("Output"),
plotOutput("plot")
)
)
server <- function(input, output, session) {
output$plot <- renderPlot({
hist(rnorm(input$n), main = "Random Normal")
})
}
shinyApp(ui, server)
→ Project dir created w/ all scaffold files.
If err: golem → install.packages("golem"). Rhino → remotes::install_github("Appsilon/rhino"). Vanilla → ensure shiny+bslib installed.
Step 3: Configure Deps
Golem/Vanilla
# Initialize renv
renv::init()
# Add core dependencies
usethis::use_package("shiny")
usethis::use_package("bslib")
usethis::use_package("DT") # if using data tables
usethis::use_package("plotly") # if using interactive plots
# Snapshot
renv::snapshot()
Rhino
Deps managed in dependencies.R:
# dependencies.R
library(shiny)
library(bslib)
library(DT)
→ All deps recorded in DESCRIPTION (golem) | dependencies.R (rhino) + renv-locked.
If err: renv::init() fails → check write perms. Pkg install fails → check R ver compat.
Step 4: First Module
Golem
golem::add_module(name = "dashboard", with_test = TRUE)
Creates R/mod_dashboard.R + tests/testthat/test-mod_dashboard.R.
Rhino
Create app/view/dashboard.R:
box::use(
shiny[moduleServer, NS, tagList, h3, plotOutput, renderPlot],
)
#' @export
ui <- function(id) {
ns <- NS(id)
tagList(
h3("Dashboard"),
plotOutput(ns("plot"))
)
}
#' @export
server <- function(id) {
moduleServer(id, function(input, output, session) {
output$plot <- renderPlot({
plot(1:10)
})
})
}
Vanilla
Add to R/mod_dashboard.R:
dashboardUI <- function(id) {
ns <- NS(id)
tagList(
h3("Dashboard"),
plotOutput(ns("plot"))
)
}
dashboardServer <- function(id) {
moduleServer(id, function(input, output, session) {
output$plot <- renderPlot({
plot(1:10)
})
})
}
→ Module file w/ UI+server using proper namespacing.
If err: ensure NS(id) for all input/output IDs in UI fn. Without → IDs collide on multi-use.
Step 5: Run
# Golem
golem::run_dev()
# Rhino
shiny::runApp()
# Vanilla
shiny::runApp("app.R")
→ App launches in browser w/o errs.
If err: check R console. Common: missing pkgs (install), port in use (port = 3839), syntax errs in UI/server.
Check
- App dir has correct structure for framework
-
shiny::runApp()launches w/o errs - ≥1 module w/ UI+server
- Deps recorded (DESCRIPTION|dependencies.R)
- renv.lock captures vers
- Module uses
NS(id)for namespace isolation
Traps
- Vanilla for prod: Lacks tests, docs, deploy tooling. Use golem|rhino beyond protos.
- Missing namespace in modules: Every
inputId+outputIdmust wrapns(). Forget → silent ID collisions. - golem w/o devtools: golem apps are R pkgs. Use
devtools::load_all(),test(),document()— notsource(). - rhino w/o box: rhino uses box for imports. Don't fall back to
library()— usebox::use().
→
build-shiny-module— reusable modules w/ namespace isolationtest-shiny-app— shinytest2 + testServer() testsdeploy-shiny-app— deploy to shinyapps.io, Posit Connect, Dockerdesign-shiny-ui— bslib theming + responsivecreate-r-package— R pkg scaffold (golem apps are R pkgs)manage-renv-dependencies— detailed renv mgmt
GitHub 仓库
相关推荐技能
executing-plans
设计该Skill用于当开发者提供完整实施计划时,以受控批次方式执行代码实现。它会先审阅计划并提出疑问,然后分批次执行任务(默认每批3个任务),并在批次间暂停等待审查。关键特性包括分批次执行、内置检查点和架构师审查机制,确保复杂系统实现的可控性。
requesting-code-review
设计该Skill可在完成任务、实现主要功能或合并代码前自动调度代码审查子代理,确保实现符合需求和计划。它支持通过指定git SHA范围进行精准的代码变更审查,帮助开发者在关键节点及时发现潜在问题。核心原则是"早审查、勤审查",适用于开发流程的各个关键阶段。
connect-mcp-server
设计这个Skill指导开发者如何将MCP服务器连接到Claude Code,支持HTTP、stdio和SSE三种传输协议。它涵盖了从安装配置到认证安全的完整流程,适用于集成GitHub、Notion、数据库等外部服务。当开发者需要添加集成、配置外部工具或提及MCP相关功能时,这个Skill能提供实用的操作指南。
web-cli-teleport
设计该Skill帮助开发者根据任务特性选择Claude Code的Web或CLI界面,并指导如何在两种环境间无缝迁移会话。它能分析任务复杂度、迭代需求等要素,推荐最优工作界面和工作流。关键特性包括会话状态管理、环境切换指导和上下文优化建议。
