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design-shiny-ui

pjt222
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Metadesign

About

This skill helps developers build and modernize Shiny app UIs using bslib for theming, responsive layouts with `layout_columns`, and components like value boxes and cards. It covers applying custom CSS/SCSS, ensuring accessibility, and maintaining brand consistency across screen sizes. Use it when creating a new app from scratch or upgrading an existing `fluidPage` app to a modern, responsive design.

Quick Install

Claude Code

Recommended
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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

Design Shiny UI

Design responsive, accessible Shiny application interfaces using bslib theming, modern layout primitives, and custom CSS.

When to Use

  • Building a new Shiny app UI from scratch
  • Modernizing an existing Shiny app from fluidPage to bslib
  • Applying brand theming (colors, fonts) to a Shiny app
  • Making a Shiny app responsive across screen sizes
  • Improving accessibility of a Shiny application

Inputs

  • Required: Application purpose and target audience
  • Required: Layout type (sidebar, navbar, fillable, dashboard)
  • Optional: Brand colors and fonts
  • Optional: Whether to use custom CSS/SCSS (default: bslib only)
  • Optional: Accessibility requirements (WCAG level)

Procedure

Step 1: Choose the Page Layout

bslib provides 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 the application's navigation and content needs.

If fail: If the layout doesn't look right, check that you're using page_sidebar() / page_navbar() (bslib) not fluidPage() / navbarPage() (base shiny). The bslib versions have better defaults and theming support.

Step 2: Configure the 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 the interactive theme editor during development:

bslib::bs_theme_preview(my_theme)

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

If fail: If fonts don't load, check internet access (Google Fonts requires it) or switch to system fonts: font_collection("system-ui", "-apple-system", "Segoe UI"). If theme variables don't apply, check that you're passing theme to the page function.

Step 3: Build the Layout with Cards and 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 with optional header/footer
  • value_box() — KPI display with icon and theme
  • layout_sidebar() — nested sidebar within cards
  • navset_card_tab() — tabbed cards

Got: Responsive grid layout that adapts to screen size.

If fail: If columns stack unexpectedly on wide screens, check col_widths sum equals 12 (Bootstrap grid). If cards overlap, ensure fill = FALSE on non-filling rows.

Step 4: Add Dynamic UI Elements

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 elements update dynamically based on user selections and data.

If fail: If dynamic UI flickers, use conditionalPanel() (CSS-based) instead of renderUI() where possible. If dynamic inputs lose their values on re-render, add session$sendInputMessage() to restore state.

Step 5: Add Custom CSS/SCSS (Optional)

For styles beyond bslib theme variables:

# 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")),
  # ...
)

For 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 without breaking bslib theming.

If fail: If custom CSS conflicts with bslib, use Bootstrap CSS variables (var(--bs-primary)) instead of hardcoded colors. This ensures theme changes propagate to custom styles.

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 standards for color contrast, keyboard navigation, and screen reader compatibility.

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

Validation

  • Page layout renders correctly on desktop and mobile widths
  • bslib theme applies consistently to all components
  • Value boxes display with correct themes and icons
  • Cards resize properly in the responsive grid
  • Custom CSS uses Bootstrap variables, not hardcoded values
  • All plots have alt text for screen readers
  • Color contrast meets WCAG AA (4.5:1 for text)
  • Interactive elements are keyboard accessible

Pitfalls

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

Related Skills

  • scaffold-shiny-app — initial app setup including theme configuration
  • build-shiny-module — create modular UI components
  • optimize-shiny-performance — performance-conscious rendering
  • review-web-design — visual design review for layout, typography, and colour
  • review-ux-ui — usability and accessibility review

GitHub Repository

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