Back to Skills

design-shiny-ui

pjt222
Updated 2 days ago
7 views
17
2
17
View on GitHub
Metadesign

About

This skill helps developers create modern, responsive Shiny app UIs using bslib for theming, layout_columns for grids, and custom CSS. It's ideal for building new apps from scratch or modernizing existing fluidPage apps with better accessibility and brand consistency. Use it when you need to make Shiny applications responsive across screen sizes or apply professional theming.

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/design-shiny-ui

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

Documentation

Shiny UI 之設

用 bslib 主題化、現代化佈局原語、自定義 CSS,設響應且可及之 Shiny 應用界面。

用時

  • 自始構 Shiny 應用 UI
  • 將既有 Shiny 應用由 fluidPage 現代化為 bslib
  • 應用品牌主題(色、字)於 Shiny 應用
  • 使 Shiny 應用於諸屏尺寸下響應
  • 改 Shiny 應用之可及性

  • 必要:應用之用與目標受眾
  • 必要:佈局類型(sidebar、navbar、fillable、dashboard)
  • 可選:品牌色與字
  • 可選:是否用自定義 CSS/SCSS(默認:僅 bslib)
  • 可選:可及性之要(WCAG 等級)

第一步:擇頁面佈局

bslib 提諸頁構造器:

# Sidebar layout — most common for data apps
ui <- page_sidebar(
  title = "My App",
  sidebar = sidebar("Controls here"),
  "Main content here"
)

# Navbar layout — for multi-page apps
ui <- page_navbar(
  title = "My App",
  nav_panel("Tab 1", "Content 1"),
  nav_panel("Tab 2", "Content 2"),
  nav_spacer(),
  nav_item(actionButton("help", "Help"))
)

# Fillable layout — content fills available space
ui <- page_fillable(
  card(
    full_screen = TRUE,
    plotOutput("plot")
  )
)

# Dashboard layout — grid of value boxes and cards
ui <- page_sidebar(
  title = "Dashboard",
  sidebar = sidebar(open = "closed", "Filters"),
  layout_columns(
    fill = FALSE,
    value_box("Revenue", "$1.2M", theme = "primary"),
    value_box("Users", "4,521", theme = "success"),
    value_box("Uptime", "99.9%", theme = "info")
  ),
  layout_columns(
    card(plotOutput("chart1")),
    card(plotOutput("chart2"))
  )
)

得: 頁面佈局合應用之導航與內容之需。

敗則: 佈局不如所願則察用 page_sidebar()/page_navbar()(bslib)而非 fluidPage()/navbarPage()(base shiny)。bslib 版本有更佳默認與主題支持。

第二步:設 bslib 主題

my_theme <- bslib::bs_theme(
  version = 5,                      # Bootstrap 5
  bootswatch = "flatly",            # Optional preset theme
  bg = "#ffffff",                   # Background color
  fg = "#2c3e50",                   # Foreground (text) color
  primary = "#2c3e50",              # Primary brand color
  secondary = "#95a5a6",            # Secondary color
  success = "#18bc9c",
  info = "#3498db",
  warning = "#f39c12",
  danger = "#e74c3c",
  base_font = bslib::font_google("Source Sans Pro"),
  heading_font = bslib::font_google("Source Sans Pro", wght = 600),
  code_font = bslib::font_google("Fira Code"),
  "navbar-bg" = "#2c3e50"
)

ui <- page_sidebar(
  theme = my_theme,
  title = "Themed App",
  # ...
)

開發時用交互主題編輯器:

bslib::bs_theme_preview(my_theme)

得: 應用以一致之品牌色、字、Bootstrap 5 組件渲染。

敗則: 字不載則察互聯網(Google Fonts 需之)或改用系統字:font_collection("system-ui", "-apple-system", "Segoe UI")。主題變量不應用則察是否傳 theme 予頁函數。

第三步:以卡片與列建佈局

ui <- page_sidebar(
  theme = my_theme,
  title = "Analysis Dashboard",
  sidebar = sidebar(
    width = 300,
    title = "Filters",
    selectInput("dataset", "Dataset", choices = c("iris", "mtcars")),
    sliderInput("sample", "Sample %", 10, 100, 100, step = 10),
    hr(),
    actionButton("refresh", "Refresh", class = "btn-primary w-100")
  ),

  # KPI row — non-filling
  layout_columns(
    fill = FALSE,
    col_widths = c(4, 4, 4),
    value_box(
      title = "Observations",
      value = textOutput("n_obs"),
      showcase = bsicons::bs_icon("table"),
      theme = "primary"
    ),
    value_box(
      title = "Variables",
      value = textOutput("n_vars"),
      showcase = bsicons::bs_icon("columns-gap"),
      theme = "info"
    ),
    value_box(
      title = "Missing",
      value = textOutput("n_missing"),
      showcase = bsicons::bs_icon("exclamation-triangle"),
      theme = "warning"
    )
  ),

  # Main content row
  layout_columns(
    col_widths = c(8, 4),
    card(
      card_header("Distribution"),
      full_screen = TRUE,
      plotOutput("main_plot")
    ),
    card(
      card_header("Summary"),
      tableOutput("summary_table")
    )
  )
)

要原語:

  • layout_columns() — 響應式網格,配 col_widths
  • card() — 內容容器,可選 header/footer
  • value_box() — KPI 顯示,帶圖示與主題
  • layout_sidebar() — 卡片內嵌側欄
  • navset_card_tab() — 選項卡式卡片

得: 響應式網格佈局,能隨屏尺寸而變。

敗則: 寬屏上列意外堆疊則察 col_widths 之和等於 12(Bootstrap 網格)。卡片相疊則確保非填充行 fill = FALSE

第四步:加動態 UI 元素

server <- function(input, output, session) {
  output$dynamic_filters <- renderUI({
    data <- current_data()
    tagList(
      selectInput("col", "Column", choices = names(data)),
      if (is.numeric(data[[input$col]])) {
        sliderInput("range", "Range",
          min = min(data[[input$col]], na.rm = TRUE),
          max = max(data[[input$col]], na.rm = TRUE),
          value = range(data[[input$col]], na.rm = TRUE)
        )
      } else {
        selectInput("values", "Values",
          choices = unique(data[[input$col]]),
          multiple = TRUE
        )
      }
    )
  })

  # Conditional panels (no server round-trip)
  # In UI:
  # conditionalPanel(
  #   condition = "input.show_advanced == true",
  #   numericInput("alpha", "Alpha", 0.05)
  # )
}

得: UI 元素隨用者所擇與資料而動態更新。

敗則: 動態 UI 閃爍則盡用 conditionalPanel()(基於 CSS)代 renderUI()。動態輸入重渲染時失值則加 session$sendInputMessage() 以復其狀。

第五步:加自定義 CSS/SCSS(可選)

欲越 bslib 主題變量之樣式:

# Inline CSS
ui <- page_sidebar(
  theme = my_theme,
  tags$head(tags$style(HTML("
    .sidebar { border-right: 2px solid var(--bs-primary); }
    .card-header { font-weight: 600; }
    .value-box .value { font-size: 2.5rem; }
  "))),
  # ...
)

# External CSS file (place in www/ directory)
ui <- page_sidebar(
  theme = my_theme,
  tags$head(tags$link(rel = "stylesheet", href = "custom.css")),
  # ...
)

SCSS 與 bslib 整合:

my_theme <- bslib::bs_theme(version = 5) |>
  bslib::bs_add_rules(sass::sass_file("www/custom.scss"))

得: 自定義樣式已施,未破 bslib 主題。

敗則: 自定義 CSS 與 bslib 衝突則用 Bootstrap CSS 變量(var(--bs-primary))代硬編碼色。如此主題變更可傳至自定義樣式。

第六步:確保可及性

# Add ARIA labels to inputs
selectInput("category", "Category",
  choices = c("A", "B", "C")
) |> tagAppendAttributes(`aria-describedby` = "category-help")

# Add alt text to plots
output$plot <- renderPlot({
  plot(data(), main = "Distribution of Values")
}, alt = "Histogram showing the distribution of selected values")

# Ensure sufficient color contrast in theme
my_theme <- bslib::bs_theme(
  version = 5,
  bg = "#ffffff",      # White background
  fg = "#212529"       # Dark text — 15.4:1 contrast ratio
)

# Use semantic HTML
tags$main(
  role = "main",
  tags$h1("Dashboard"),
  tags$section(
    `aria-label` = "Key Performance Indicators",
    layout_columns(
      # value boxes...
    )
  )
)

得: 應用合 WCAG 2.1 AA 之色差、鍵盤導航、屏讀相容。

敗則: 以瀏覽器開發工具之可及性審計(Lighthouse)測。以 WebAIM 對比檢查器察色差比。確保諸交互元素可由鍵盤聚焦。

  • 頁面佈局於桌面與移動寬度下皆正渲染
  • bslib 主題一致施於諸組件
  • 值框以正確之主題與圖示顯示
  • 卡片於響應式網格中正確縮放
  • 自定義 CSS 用 Bootstrap 變量,非硬編碼
  • 諸圖皆有屏讀者所用之替代文本
  • 色對比合 WCAG AA(文本 4.5:1)
  • 交互元素可由鍵盤訪問

  • 新舊 Shiny UI 相混:勿將 fluidPage() 與 bslib 組件相混。專用 page_sidebar()page_navbar()page_fillable()
  • CSS 中硬編碼色:用 var(--bs-primary)#2c3e50。硬編碼色於主題變更時破
  • 非填充行缺 fill = FALSE:值框行與摘要行常不宜填滿可用空間。設 fill = FALSE
  • 離線環境用 Google Fonts:應用部署於隔離網絡則用系統字或自托管字文件代 font_google()
  • 略移動:以瀏覽器響應模式測。layout_columns 於窄屏自動堆疊,然自定義 CSS 或不能

  • scaffold-shiny-app — 初始應用搭建含主題設置
  • build-shiny-module — 建模塊化 UI 組件
  • optimize-shiny-performance — 注重性能之渲染
  • review-web-design — 佈局、字體、色彩之視覺設計評議
  • review-ux-ui — 可用性與可及性評議

GitHub Repository

pjt222/agent-almanac
Path: i18n/wenyan/skills/design-shiny-ui
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