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build-shiny-module

pjt222
更新于 Yesterday
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关于

This skill helps developers build reusable Shiny modules with proper namespace isolation using NS(). It covers creating UI/server pairs, handling reactive return values, and enabling inter-module communication and nested composition. Use it when extracting reusable components from growing apps, encapsulating complex logic, or composing larger applications from testable units.

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/build-shiny-module

在 Claude Code 中复制并粘贴此命令以安装该技能

技能文档

Build Shiny Module

Reusable Shiny UI/server module pairs w/ proper namespace isolation, reactive comm, composability.

Use When

  • Extract reusable component from growing Shiny app
  • UI widget used in many places
  • Encapsulate complex reactive logic behind clean interface
  • Compose larger apps from smaller testable units

In

  • Required: Module purpose + fn desc
  • Required: In/out contract (what module receives + returns)
  • Optional: Whether module nests others (default: no)
  • Optional: Framework ctx (golem, rhino, vanilla)

Do

Step 1: Define Interface

Before code, define accepts + returns:

Module: data_filter
Inputs: reactive dataset, column names to filter on
Outputs: reactive filtered dataset
UI: filter controls (selectInput, sliderInput, dateRangeInput)

Clear contract w/ reactive ins, reactive outs, UI elements.

If err: Interface unclear → module too broad. Split into smaller, single responsibilities.

Step 2: Module UI Fn

#' Data Filter Module UI
#'
#' @param id Module namespace ID
#' @return A tagList of filter controls
#' @export
dataFilterUI <- function(id) {
  ns <- NS(id)
  tagList(
    selectInput(
      ns("column"),
      "Filter column",
      choices = NULL
    ),
    uiOutput(ns("filter_control")),
    actionButton(ns("apply"), "Apply Filter", class = "btn-primary")
  )
}

Key rules:

  • Fn name: <name>UI convention
  • First arg always id
  • ns <- NS(id) at top
  • Wrap every inputId + outputId w/ ns()
  • Return tagList() for flexible placement

UI fn creates namespaced in/out elements.

If err: IDs collide when module used twice → check every ID wrapped w/ ns(). Common miss: IDs inside renderUI() or uiOutput() — also need ns().

Step 3: Module Server Fn

#' Data Filter Module Server
#'
#' @param id Module namespace ID
#' @param data Reactive expression returning a data frame
#' @param columns Character vector of filterable column names
#' @return Reactive expression returning the filtered data frame
#' @export
dataFilterServer <- function(id, data, columns) {
  moduleServer(id, function(input, output, session) {
    ns <- session$ns

    # Update column choices when data changes
    observeEvent(data(), {
      available <- intersect(columns, names(data()))
      updateSelectInput(session, "column", choices = available)
    })

    # Dynamic filter control based on selected column
    output$filter_control <- renderUI({
      req(input$column)
      col_data <- data()[[input$column]]

      if (is.numeric(col_data)) {
        sliderInput(
          ns("value_range"),
          "Range",
          min = min(col_data, na.rm = TRUE),
          max = max(col_data, na.rm = TRUE),
          value = range(col_data, na.rm = TRUE)
        )
      } else {
        selectInput(
          ns("value_select"),
          "Values",
          choices = unique(col_data),
          multiple = TRUE,
          selected = unique(col_data)
        )
      }
    })

    # Return filtered data as a reactive
    filtered <- eventReactive(input$apply, {
      req(input$column)
      col <- input$column
      df <- data()

      if (is.numeric(df[[col]])) {
        req(input$value_range)
        df[df[[col]] >= input$value_range[1] &
           df[[col]] <= input$value_range[2], ]
      } else {
        req(input$value_select)
        df[df[[col]] %in% input$value_select, ]
      }
    }, ignoreNULL = FALSE)

    return(filtered)
  })
}

Key rules:

  • Fn name: <name>Server convention
  • First arg always id
  • Additional args = reactive exprs or static values
  • Use moduleServer(id, function(input, output, session) { ... })
  • Use session$ns for dynamic UI inside server
  • Return reactive values explicitly

Server fn processes ins + returns reactive out.

If err: Reactives don't update → check ins from dynamic UI use session$ns (not outer ns). Module returns NULL → ensure return() is last expr in moduleServer().

Step 4: Wire Module into Parent

# In app_ui.R or ui
ui <- page_sidebar(
  title = "Analysis App",
  sidebar = sidebar(
    dataFilterUI("filter1")
  ),
  card(
    DT::dataTableOutput("table")
  )
)

# In app_server.R or server
server <- function(input, output, session) {
  # Raw data source
  raw_data <- reactive({ mtcars })

  # Call module — capture its return value
  filtered_data <- dataFilterServer(
    "filter1",
    data = raw_data,
    columns = c("cyl", "mpg", "hp", "wt")
  )

  # Use the module's returned reactive
  output$table <- DT::renderDataTable({
    filtered_data()
  })
}

Module appears in UI, returned reactive flows into downstream outs.

If err: UI doesn't render → verify id matches between UI + server calls. Returned reactive NULL → check server fn actually returns value.

Step 5: Nested Modules (Optional)

Modules containing other modules:

analysisUI <- function(id) {
  ns <- NS(id)
  tagList(
    dataFilterUI(ns("filter")),
    plotOutput(ns("plot"))
  )
}

analysisServer <- function(id, data) {
  moduleServer(id, function(input, output, session) {
    # Call inner module with namespaced ID
    filtered <- dataFilterServer("filter", data = data, columns = names(data()))

    output$plot <- renderPlot({
      req(filtered())
      plot(filtered())
    })

    return(filtered)
  })
}

Key: UI nests w/ ns("inner_id"). Server calls w/ just "inner_id"moduleServer handles namespace chaining.

Inner module renders correctly w/in outer's namespace.

If err: Inner UI doesn't appear → likely forgot ns() around inner ID in outer UI. Server comm breaks → check inner ID matches (no ns() in server call).

Step 6: Test in Isolation

# Quick test app for the module
if (interactive()) {
  shiny::shinyApp(
    ui = fluidPage(
      dataFilterUI("test"),
      DT::dataTableOutput("result")
    ),
    server = function(input, output, session) {
      data <- reactive(iris)
      filtered <- dataFilterServer("test", data, names(iris))
      output$result <- DT::renderDataTable(filtered())
    }
  )
}

Module works correctly in minimal test app.

If err: Fails in isolation but works in full app (or reverse) → implicit deps on global vars or parent session state.

Check

  • UI fn accepts id as first arg + uses NS(id)
  • Every in/out ID in UI wrapped w/ ns()
  • Server uses moduleServer(id, function(input, output, session) { ... })
  • Dynamic UI in server uses session$ns for IDs
  • Module instantiable many times w/o ID collisions
  • Reactive returns accessible to parent
  • Works in minimal standalone test

Traps

  • Forget ns() in renderUI(): Dynamic UI inside server must use session$ns — outer ns not available in moduleServer()
  • Non-reactive data: Args that change over time must be reactive. Pass reactive(data) not data
  • ID mismatch: id in UI call must exactly match id in server call
  • Not returning reactives: Module computes something parent needs → must return() reactive. Silent bug
  • Nested namespace: UI: ns("inner_id"). Server: just "inner_id". Mixing → double-wrapping or missing prefixes

  • scaffold-shiny-app — set up app structure before adding modules
  • test-shiny-app — test modules w/ testServer() unit tests
  • design-shiny-ui — bslib layout + theming for module UIs
  • optimize-shiny-performance — cache + async patterns w/in modules

GitHub 仓库

pjt222/agent-almanac
路径: i18n/caveman-ultra/skills/build-shiny-module
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