MCP HubMCP Hub
Volver a habilidades

design-shiny-ui

pjt222
Actualizado 2 days ago
4 vistas
17
2
17
Ver en GitHub
Metadesign

Acerca de

Esta habilidad ayuda a los desarrolladores a construir y modernizar interfaces de usuario de aplicaciones Shiny utilizando bslib para temas, diseños responsivos con `layout_columns`, y componentes como cajas de valor y tarjetas. Cubre la aplicación de CSS/SCSS personalizado, garantiza la accesibilidad y mantiene la coherencia de marca en todos los tamaños de pantalla. Úsala al crear una nueva aplicación desde cero o al actualizar una aplicación existente con `fluidPage` hacia un diseño moderno y responsivo.

Instalación rápida

Claude Code

Recomendado
Principal
npx skills add pjt222/agent-almanac -a claude-code
Comando PluginAlternativo
/plugin add https://github.com/pjt222/agent-almanac
Git CloneAlternativo
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/design-shiny-ui

Copia y pega este comando en Claude Code para instalar esta habilidad

Documentación

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

Repositorio GitHub

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

Habilidades relacionadas

content-collections

Meta

Esta habilidad proporciona una configuración probada en producción para Content Collections, una herramienta centrada en TypeScript que transforma archivos Markdown/MDX en colecciones de datos con tipado seguro mediante validación Zod. Úsala al construir blogs, sitios de documentación o aplicaciones Vite + React con mucho contenido para garantizar seguridad de tipos y validación automática de contenido. Abarca todo, desde la configuración del plugin de Vite y compilación MDX hasta la optimización de despliegue y validación de esquemas.

Ver habilidad

polymarket

Meta

Esta habilidad permite a los desarrolladores crear aplicaciones con la plataforma de mercados de predicción Polymarket, incluyendo la integración de API para operaciones y datos de mercado. También proporciona transmisión de datos en tiempo real a través de WebSocket para monitorear operaciones en vivo y actividad del mercado. Úsela para implementar estrategias de trading o crear herramientas que procesen actualizaciones de mercado en tiempo real.

Ver habilidad

creating-opencode-plugins

Meta

Esta habilidad ayuda a los desarrolladores a crear complementos de OpenCode que se conectan a más de 25 tipos de eventos, como comandos, archivos y operaciones LSP. Proporciona la estructura del complemento, las especificaciones de la API de eventos y los patrones de implementación para módulos en JavaScript/TypeScript. Úsala cuando necesites interceptar, monitorear o extender el ciclo de vida del asistente de IA de OpenCode con lógica personalizada basada en eventos.

Ver habilidad

sglang

Meta

SGLang es un framework de alto rendimiento para el servicio de LLM que se especializa en generación rápida y estructurada para JSON, expresiones regulares y flujos de trabajo de agentes utilizando su caché de prefijos RadixAttention. Ofrece una inferencia significativamente más rápida, especialmente para tareas con prefijos repetidos, lo que lo hace ideal para salidas complejas y estructuradas, y conversaciones multiturno. Elige SGLang sobre alternativas como vLLM cuando necesites decodificación restringida o estés construyendo aplicaciones con uso extensivo de prefijos compartidos.

Ver habilidad