Agent-almanac build-shiny-module

install
source · Clone the upstream repo
git clone https://github.com/pjt222/agent-almanac
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/pjt222/agent-almanac "$T" && mkdir -p ~/.claude/skills && cp -r "$T/i18n/caveman-ultra/skills/build-shiny-module" ~/.claude/skills/pjt222-agent-almanac-build-shiny-module-fbf5c2 && rm -rf "$T"
manifest: i18n/caveman-ultra/skills/build-shiny-module/SKILL.md
source content

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