tui-developer

Genera aplicaciones TUI de Go Bubble Tea con interfaces tipo chat. Úsalo cuando el usuario pida crear interfaces de terminal, interfaces de chat, CLI interactivas, REPL o…

npx skills add https://github.com/microsoft/ghqr --skill tui-developer

TUI Developer Skill

Generate minimal, idiomatic Go Bubble Tea TUI applications with chat-like interfaces using alt screen + internal viewport.

When to Use

Use this skill when the user asks to:

  • Create a terminal UI with Bubble Tea
  • Build a chat-like CLI interface
  • Implement a REPL or interactive terminal
  • Create a log viewer with input

Architecture

The TUI uses alt screen with an internal viewport for scrollable conversation history. Completed output is accumulated in a persisted string that is written to stdout after the alt screen exits, giving the user a transcript in their terminal scrollback.

┌───────────────────────────────┐
│  viewport (scrollable)        │  <- persisted history + live activity
│  ❯ user message               │
│  ● assistant response         │
│  ● Thinking... (live)         │
├───────────────────────────────┤
│  ─────────────────────────    │  <- separator (with top margin)
│  ❯ input bar                  │
│  ─────────────────────────    │
│  status bar          ↕ model  │  <- scroll arrow + model/mode
└───────────────────────────────┘

Key Design Decisions

  • tea.WithAltScreen() — full-screen TUI; avoids inline rendering artifacts
  • bubbles/viewport — scrollable content area; height = terminal height minus fixed chrome rows
  • persisted string — accumulates all finalized output; written to stdout on exit so the user keeps a transcript
  • buildViewportContent() — returns persisted + live activity (spinner/streaming) when a response is in progress
  • appendToViewport(content) — appends to persisted and calls updateViewport() (SetContent + GotoBottom)
  • No tea.WithMouseCellMotion() — mouse capture is omitted so the user can select text with the mouse
  • No tea.Println — all output goes through the viewport

Required Dependencies

import (
    tea "github.com/charmbracelet/bubbletea"
    "github.com/charmbracelet/bubbles/textinput"
    "github.com/charmbracelet/bubbles/spinner"
    "github.com/charmbracelet/bubbles/viewport"
    "github.com/charmbracelet/lipgloss"
)

Implementation Requirements

Model Structure

type model struct {
    // Dimensions
    width  int
    height int

    // Core components
    input    textinput.Model
    spinner  spinner.Model
    viewport viewport.Model

    // Content
    persisted string // finalized transcript (also written to stdout on exit)

    // State
    processing bool
    quitting   bool
    program    *tea.Program
}

Initialization

func newModel() *model {
    return &model{
        input:    newTextInput(),
        spinner:  newSpinner(),
        viewport: viewport.New(80, 20),
        width:    80,
    }
}

func (m *model) Init() tea.Cmd {
    return tea.Batch(textinput.Blink, m.spinner.Tick)
}

Viewport Height

Reserve 6 rows for chrome: two separators (each with a top margin counts as 2 rows) + input row + status row:

func (m *model) handleResize(msg tea.WindowSizeMsg) (tea.Model, tea.Cmd) {
    m.width = msg.Width
    m.height = msg.Height
    m.input.Width = msg.Width - 4
    m.viewport.Width = msg.Width
    vpHeight := msg.Height - 6
    if vpHeight < 5 {
        vpHeight = 5
    }
    m.viewport.Height = vpHeight
    m.viewport.SetContent(m.buildViewportContent())
    return m, nil
}

Viewport Content Helpers

// appendToViewport adds finalized content and scrolls to bottom.
func (m *model) appendToViewport(content string) {
    m.persisted += content
    m.updateViewport()
}

// buildViewportContent returns persisted history plus any live activity.
func (m *model) buildViewportContent() string {
    if m.processing {
        if live := m.renderActivity(); live != "" {
            return m.persisted + live
        }
    }
    return m.persisted
}

// updateViewport refreshes content and scrolls to bottom.
func (m *model) updateViewport() {
    m.viewport.SetContent(m.buildViewportContent())
    m.viewport.GotoBottom()
}

Keyboard Scrolling

case tea.KeyPgUp:
    m.viewport.HalfViewUp()
    return m, nil
case tea.KeyPgDown:
    m.viewport.HalfViewDown()
    return m, nil
case tea.KeyUp:
    m.viewport.LineUp(1)
    return m, nil
case tea.KeyDown:
    m.viewport.LineDown(1)
    return m, nil

Scroll Arrow in Status Bar

Display ↑/↓/↕ in the status bar to indicate scroll position:

func (m *model) scrollArrow() string {
    if m.viewport.YOffset == 0 && m.viewport.AtBottom() {
        return "" // all content fits
    }
    canUp := m.viewport.YOffset > 0
    canDown := !m.viewport.AtBottom()
    switch {
    case canUp && canDown:
        return "↕"
    case canUp:
        return "↑"
    default:
        return "↓"
    }
}

View Layout

View() renders the full screen: viewport + chrome. Return "" when quitting so the alt screen clears cleanly.

func (m *model) View() string {
    if m.quitting {
        return ""
    }
    separator := strings.Repeat("─", m.width-2)
    parts := []string{
        m.viewport.View(),
        separator,
        m.input.View(),
        separator,
        m.renderStatusBar(),
    }
    return strings.Join(parts, "\n")
}

Program Entry and Exit Transcript

After p.Run() returns, print persisted to stdout so the user gets a transcript in their shell:

func Run() error {
    m := newModel()
    p := tea.NewProgram(m, tea.WithAltScreen())
    m.program = p

    finalModel, err := p.Run()

    if fm, ok := finalModel.(*model); ok && fm.persisted != "" {
        fmt.Print(fm.persisted)
    }
    return err
}

Ctrl+C Behaviour

First Ctrl+C clears the input (with a 2-second warning); second Ctrl+C within that window exits:

func (m *model) handleCtrlC() (tea.Model, tea.Cmd) {
    now := time.Now()
    if m.ctrlCPressed && now.Sub(m.ctrlCTime) < 2*time.Second {
        m.quitting = true
        return m, tea.Quit
    }
    m.input.SetValue("")
    m.ctrlCPressed = true
    m.ctrlCTime = now
    return m, tea.Tick(2*time.Second, func(time.Time) tea.Msg {
        return ctrlCClearMsg{}
    })
}

Quality Checklist

Before returning generated code, verify:

  • Uses tea.WithAltScreen() — full-screen, no inline artifacts
  • Uses bubbles/viewport — scrollable content area
  • Does NOT use tea.Println — all output goes through the viewport
  • Does NOT use tea.WithMouseCellMotion() — preserves native text selection
  • persisted string accumulates all finalized content
  • appendToViewport = append to persisted + updateViewport()
  • buildViewportContent = persisted + live activity when processing
  • Viewport height = terminal height minus 6 fixed chrome rows
  • View() returns "" when quitting
  • After p.Run(), prints fm.persisted to stdout for transcript
  • PgUp/PgDn and Up/Down scroll the viewport
  • Scroll arrow (↑/↓/↕) shown in status bar
  • First Ctrl+C clears input; second Ctrl+C quits
  • Model uses pointer receiver (*model) for all methods
  • Update handlers are broken into focused methods

Más skills de microsoft

oss-growth
microsoft
Persona de growth hacker de OSS
agent-framework-azure-ai-py
microsoft
Crea agentes de Azure AI Foundry usando el SDK de Python de Microsoft Agent Framework (agent-framework-azure-ai). Úsalo al crear agentes persistentes con AzureAIAgentsProvider, usando herramientas alojadas (intérprete de código, búsqueda de archivos, búsqueda web), integrando servidores MCP, gestionando hilos de conversación o implementando respuestas en streaming. Cubre herramientas de función, salidas estructuradas y agentes con múltiples herramientas.
development
airunway-aks-setup
microsoft
Configura AI Runway en AKS: desde un clúster vacío hasta un modelo en ejecución. Incluye verificación del clúster, instalación del controlador, evaluación de GPU, configuración del proveedor y primer despliegue. CUÁNDO: "configurar AI Runway", "incorporar clúster AKS", "instalar AI Runway", "configuración de airunway", "desplegar modelo en AKS", "inferencia GPU en AKS", "configuración de KAITO en AKS", "ejecutar LLM en AKS", "vLLM en AKS", "configurar servicio de modelos en AKS", "controlador de AI Runway".
devops
appinsights-instrumentation
microsoft
Guía para instrumentar aplicaciones web con Azure Application Insights. Proporciona patrones de telemetría, configuración del SDK y referencias de configuración. CUÁNDO: cómo instrumentar una aplicación, SDK de App Insights, patrones de telemetría, qué es App Insights, guía de Application Insights, ejemplos de instrumentación, mejores prácticas de APM.
devops
applicationinsights-web-ts
microsoft
Instrumenta aplicaciones web/navegador con el SDK de JavaScript de Application Insights (@microsoft/applicationinsights-web). Úsalo para monitoreo de usuarios reales (RUM): vistas de página, clics, dependencias AJAX/fetch, excepciones, eventos personalizados y trazas de agentes GenAI del lado del navegador correlacionadas con trazas de OpenTelemetry del backend. Cubre el script de carga del SDK y la configuración npm, extensiones de frameworks (React, React Native, Angular), Click Analytics, inicializadores de telemetría y convenciones semánticas de GenAI de OTel para spans de agentes/herramientas/modelos emitidos desde el navegador.
devops
azure-ai-anomalydetector-java
microsoft
Cree aplicaciones de detección de anomalías con el SDK de Azure AI Anomaly Detector para Java. Úselo al implementar detección de anomalías univariadas/multivariadas, análisis de series temporales o monitoreo impulsado por IA.
development
azure-ai-language-conversations-py
microsoft
Implementa el reconocimiento del lenguaje conversacional (CLU) utilizando el SDK de Python azure-ai-language-conversations. Úsalo al trabajar con ConversationAnalysisClient para analizar la intención y las entidades de la conversación, crear funciones de NLP o integrar el reconocimiento del lenguaje en aplicaciones.
development
azure-ai-ml-py
microsoft
SDK v2 de Azure Machine Learning para Python. Úselo para áreas de trabajo de ML, trabajos, modelos, conjuntos de datos, cómputo y canalizaciones. Disparadores: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development