bubble-tea-scaffolder
Generate Bubble Tea (Go) TUI application structure with models, commands, and views using the Elm architecture.
npx skills add a5c-ai/babysitter --skill bubble-tea-scaffolder --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Bubble Tea Scaffolder Generate Bubble Tea TUI applications with Go and Elm architecture. ## Capabilities - Generate Bubble Tea project structure - Create models with Init, Update, View - Set up commands and messages - Implement component composition - Create styling with Lip Gloss - Set up testing patterns ## Usage Invoke this skill when you need to: - Build terminal UIs in Go - Create interactive CLI with Elm architecture - Implement complex TUI applications - Set up Bubble Tea project structure ## Inputs | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | projectName | string | Yes | Project name | | modulePath | string | Yes | Go module path | | components | array | No | Component definitions | ## Generated Patterns ### Main Application ```go package main import ( "fmt" "os" tea "github.com/charmbracelet/bubbletea" ) func main() { p := tea.NewProgram(initialModel(), tea.WithAltScreen()) if _, err := p.Run(); err != nil { fmt.Printf("Error: %v", err) os.Exit(1) } } ``` ### Model Definition ```go package main import ( "github.com/charmbracelet/bubbles/list" "github.com/charmbracelet/bubbles/textinput" tea "github.com/charmbracelet/bubble
- Capabilities
- Usage
- Inputs
- Generated Patterns
- Main Application
- Model Definition
- List Item
- Styles
- Dependencies
- Target Processes
What does the bubble-tea-scaffolder skill do?
Generate Bubble Tea (Go) TUI application structure with models, commands, and views using the Elm architecture.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill bubble-tea-scaffolder --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.