返回技能列表

design-shiny-ui

pjt222
更新于 2 days ago
3 次查看
17
2
17
在 GitHub 上查看
design

关于

This skill helps developers build modern, responsive Shiny app UIs using bslib for theming, layout_columns for grids, and components like value boxes and cards. It's ideal for creating new apps from scratch, modernizing legacy fluidPage apps, or applying brand theming and accessibility improvements. The skill also covers custom CSS/SCSS integration for complete design control.

快速安装

Claude Code

推荐
主要方式
npx skills add pjt222/agent-almanac -a claude-code
插件命令备选方式
/plugin add https://github.com/pjt222/agent-almanac
Git 克隆备选方式
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/design-shiny-ui

在 Claude Code 中复制并粘贴此命令以安装该技能

技能文档

Design Shiny UI

Responsive, accessible Shiny UI. bslib theming, modern layout primitives, custom CSS.

When Use

  • Build new Shiny app UI from scratch
  • Modernize existing Shiny app: fluidPage → bslib
  • Apply brand theming (colors, fonts) to Shiny app
  • Make Shiny app responsive across screen sizes
  • Improve accessibility

Inputs

  • Required: App purpose + target audience
  • Required: Layout type (sidebar, navbar, fillable, dashboard)
  • Optional: Brand colors + fonts
  • Optional: Use custom CSS/SCSS? (default: bslib only)
  • Optional: Accessibility needs (WCAG level)

Steps

Step 1: Pick Page Layout

bslib has several page constructors:

# 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"))
  )
)

Got: Page layout matches app's navigation + content needs.

If fail: Layout wrong? Check you use page_sidebar() / page_navbar() (bslib), not fluidPage() / navbarPage() (base shiny). bslib has better defaults + theming.

Step 2: Config bslib Theme

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",
  # ...
)

Use interactive theme editor during dev:

bslib::bs_theme_preview(my_theme)

Got: App renders with consistent brand colors, fonts, Bootstrap 5 components.

If fail: Fonts don't load? Check internet (Google Fonts needs it) or switch to system fonts: font_collection("system-ui", "-apple-system", "Segoe UI"). Theme vars don't apply? Check theme is passed to page func.

Step 3: Build Layout with Cards + Columns

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")
    )
  )
)

Key layout primitives:

  • layout_columns() — responsive grid with col_widths
  • card() — content container, optional header/footer
  • value_box() — KPI display, icon + theme
  • layout_sidebar() — nested sidebar inside cards
  • navset_card_tab() — tabbed cards

Got: Responsive grid adapts to screen size.

If fail: Columns stack odd on wide screens? col_widths sum must = 12 (Bootstrap grid). Cards overlap? Set fill = FALSE on non-filling rows.

Step 4: Add Dynamic UI

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)
  # )
}

Got: UI updates dynamically from user selections + data.

If fail: Dynamic UI flickers? Use conditionalPanel() (CSS-based) not renderUI() where possible. Dynamic inputs lose values on re-render? Add session$sendInputMessage() to restore state.

Step 5: Custom CSS/SCSS (Optional)

For styles beyond bslib theme vars:

# 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 integration with bslib:

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

Got: Custom styles applied. bslib theming not broken.

If fail: Custom CSS conflicts with bslib? Use Bootstrap CSS vars (var(--bs-primary)) not hardcoded colors. Theme changes then propagate.

Step 6: Ensure Accessibility

# 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...
    )
  )
)

Got: App meets WCAG 2.1 AA: color contrast, keyboard nav, screen reader compat.

If fail: Test with browser dev tools accessibility audit (Lighthouse). Check color contrast with WebAIM's checker. All interactive elements keyboard-focusable.

Checks

  • Page layout renders right on desktop + mobile widths
  • bslib theme applies consistently
  • Value boxes display right themes + icons
  • Cards resize in responsive grid
  • Custom CSS uses Bootstrap vars, not hardcoded values
  • All plots have alt text
  • Color contrast ≥ WCAG AA (4.5:1 for text)
  • Interactive elements keyboard accessible

Pitfalls

  • Mixing old + new Shiny UI: Don't mix fluidPage() with bslib components. Use page_sidebar(), page_navbar(), or page_fillable() only.
  • Hardcoded colors in CSS: Use var(--bs-primary) not #2c3e50. Hardcoded colors break when theme changes.
  • Missing fill = FALSE on non-filling rows: Value box + summary rows usually shouldn't stretch. Set fill = FALSE.
  • Google Fonts in offline env: App deploys to air-gapped network? Use system fonts or self-hosted font files, not font_google().
  • Ignoring mobile: Test with browser responsive mode. layout_columns auto-stacks on narrow screens, custom CSS may not.

See Also

  • scaffold-shiny-app — initial app setup incl theme config
  • build-shiny-module — modular UI components
  • optimize-shiny-performance — perf-conscious rendering
  • review-web-design — visual design review: layout, typography, colour
  • review-ux-ui — usability + accessibility review

GitHub 仓库

pjt222/agent-almanac
路径: i18n/caveman/skills/design-shiny-ui
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams

相关推荐技能

content-collections

Content Collections 是一个 TypeScript 优先的构建工具,可将本地 Markdown/MDX 文件转换为类型安全的数据集合。它专为构建博客、文档站和内容密集型 Vite+React 应用而设计,提供基于 Zod 的自动模式验证。该工具涵盖从 Vite 插件配置、MDX 编译到生产环境部署的完整工作流。

查看技能

polymarket

这个Claude Skill为开发者提供完整的Polymarket预测市场开发支持,涵盖API调用、交易执行和市场数据分析。关键特性包括实时WebSocket数据流,可监控实时交易、订单和市场动态。开发者可用它构建预测市场应用、实施交易策略并集成实时市场预测功能。

查看技能

creating-opencode-plugins

该Skill帮助开发者创建OpenCode插件,用于接入命令、文件、LSP等25+种事件。它提供了插件结构、事件API规范和JavaScript/TypeScript实现模式,适合需要拦截操作、扩展功能或自定义事件处理的场景。开发者可通过它快速构建响应式模块来增强OpenCode AI助手的能力。

查看技能

sglang

SGLang是一个专为LLM设计的高性能推理框架,特别适用于需要结构化输出的场景。它通过RadixAttention前缀缓存技术,在处理JSON、正则表达式、工具调用等具有重复前缀的复杂工作流时,能实现极速生成。如果你正在构建智能体或多轮对话系统,并追求远超vLLM的推理性能,SGLang是理想选择。

查看技能