Back to Skills

scaffold-shiny-app

pjt222
Updated 5 days ago
11 views
17
2
17
View on GitHub
Metadesigndata

About

This skill scaffolds a new Shiny application in R, offering three structure options: `golem` for production R packages, `rhino` for enterprise projects, or `vanilla` for quick prototypes. It handles framework selection, project initialization, and creates the first module. Use it to bootstrap any new interactive web app, dashboard, or data explorer in R with a proper foundational setup.

Quick Install

Claude Code

Recommended
Primary
npx skills add pjt222/agent-almanac -a claude-code
Plugin CommandAlternative
/plugin add https://github.com/pjt222/agent-almanac
Git CloneAlternative
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/scaffold-shiny-app

Copy and paste this command in Claude Code to install this skill

Documentation

構建 Shiny 應用腳手架

以 golem、rhino 或 vanilla 腳手架建立生產就緒結構之 Shiny 應用。

適用時機

  • 新建 R 之互動式網頁應用
  • 建立儀表板或資料探索原型
  • 以 golem 設置生產 Shiny 應用作為 R 套件
  • 以 rhino 啟動企業 Shiny 項目

輸入

  • 必要:應用名
  • 必要:框架選擇(golem、rhino 或 vanilla)
  • 選擇性:是否含模組腳手架(預設:是)
  • 選擇性:是否用 renv 作依賴管理(預設:是)
  • 選擇性:部署目標(shinyapps.io、Posit Connect、Docker)

步驟

步驟一:選擇框架

評估項目需求以選適當之框架:

框架最適結構
golem以 R 套件交付之生產應用R 套件含 DESCRIPTION、tests、vignettes
rhino含 JS/CSS 建構管道之企業應用box 模組、Sass、JS 打包、rhino::init()
vanilla快速原型與學習單一 app.R 或 ui.R/server.R 對

預期: 依項目範圍與團隊需求作明確之框架決定。

失敗時: 若不確定,預設 golem——其提供最多結構且日後可簡化。Vanilla 僅適合一次性原型。

步驟二:搭建項目腳手架

Golem 路徑

golem::create_golem("myapp", package_name = "myapp")

此建立:

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 路徑

rhino::init("myapp")

此建立:

myapp/
├── app/
│   ├── js/
│   ├── logic/
│   ├── static/
│   ├── styles/
│   ├── view/
│   └── main.R
├── tests/
│   ├── cypress/
│   └── testthat/
├── .github/
├── app.R
├── dependencies.R
├── rhino.yml
└── renv.lock

Vanilla 路徑

建立 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)

預期: 項目目錄已建,含所有腳手架文件。

失敗時: 對 golem,確保 golem 套件已安裝:install.packages("golem")。對 rhino,從 GitHub 安裝:remotes::install_github("Appsilon/rhino")。對 vanilla,確保 shiny 與 bslib 已安裝。

步驟三:配置依賴

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

依賴於 dependencies.R 中管理:

# dependencies.R
library(shiny)
library(bslib)
library(DT)

預期: 所有依賴記錄於 DESCRIPTION(golem)或 dependencies.R(rhino)並以 renv 鎖定。

失敗時: 若 renv::init() 失敗,檢查寫入權限。若套件安裝失敗,檢查 R 版本相容性。

步驟四:建立首模組

Golem

golem::add_module(name = "dashboard", with_test = TRUE)

此建立 R/mod_dashboard.Rtests/testthat/test-mod_dashboard.R

Rhino

建立 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

於另一文件 R/mod_dashboard.R 加模組函數:

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)
    })
  })
}

預期: 模組文件已建,含使用適當命名空間之 UI 與伺服器函數。

失敗時: 確保模組於 UI 函數中所有輸入/輸出 ID 皆用 NS(id)。無命名空間時,模組多次使用會導致 ID 衝突。

步驟五:執行應用

# Golem
golem::run_dev()

# Rhino
shiny::runApp()

# Vanilla
shiny::runApp("app.R")

預期: 應用於瀏覽器無錯啟動。

失敗時: 檢查 R 控制台之錯誤訊息。常見問題:缺套件(安裝之)、連接埠已用(以 port = 3839 指定不同連接埠)或 UI/server 代碼之語法錯誤。

驗證

  • 應用目錄具所選框架之正確結構
  • shiny::runApp() 無錯啟動
  • 至少一模組已腳手架,含 UI 與伺服器函數
  • 依賴已記錄(DESCRIPTION 或 dependencies.R)
  • renv.lock 捕捉所有套件版本
  • 模組用 NS(id) 作適當之命名空間隔離

常見陷阱

  • 生產選 vanilla:Vanilla 結構缺測試基礎設施、文件與部署工具。原型外用 golem 或 rhino。
  • 模組中缺命名空間:模組 UI 中每 inputIdoutputId 須以 ns() 包裝。遺忘者引發靜默 ID 衝突。
  • 無 devtools 工作流之 golem:golem 應用為 R 套件。用 devtools::load_all()devtools::test()devtools::document()——非 source()
  • 無 box 之 rhino:rhino 用 box 作模組引入。勿退回 library() 呼叫——用 box::use() 作明確引入。

相關技能

  • build-shiny-module — 建立含適當命名空間隔離之可重用 Shiny 模組
  • test-shiny-app — 設置 shinytest2 與 testServer() 測試
  • deploy-shiny-app — 部署至 shinyapps.io、Posit Connect 或 Docker
  • design-shiny-ui — bslib 主題化與響應式佈局設計
  • create-r-package — R 套件腳手架(golem 應用為 R 套件)
  • manage-renv-dependencies — 詳細之 renv 依賴管理

GitHub Repository

pjt222/agent-almanac
Path: i18n/wenyan-lite/skills/scaffold-shiny-app
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams

Related Skills

content-collections

Meta

This skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.

View skill

polymarket

Meta

This skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.

View skill

creating-opencode-plugins

Meta

This skill helps developers create OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It provides the plugin structure, event API specifications, and implementation patterns for JavaScript/TypeScript modules. Use it when you need to intercept, monitor, or extend the OpenCode AI assistant's lifecycle with custom event-driven logic.

View skill

sglang

Meta

SGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.

View skill