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cli-skills

CLI best practices for LlamaFarm. Covers Cobra, Bubbletea, Lipgloss patterns for Go CLI development.

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包含的文件(4)

  • SKILL.md4.8 KB
  • bubbletea.md12.3 KB
  • cobra.md8.4 KB
  • performance.md11.7 KB

SKILL.md(原文)

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CLI Skills for LlamaFarm

Framework-specific patterns for the LlamaFarm CLI. These guidelines extend the shared Go skills with Cobra, Bubbletea, and Lipgloss best practices.

Tech Stack

  • Go 1.24+
  • Cobra (CLI framework)
  • Bubbletea (TUI framework)
  • Lipgloss (terminal styling)
  • Bubbles (TUI components)

Directory Structure

cli/
  cmd/             # Cobra command implementations
    config/        # Configuration types and loading
    orchestrator/  # Service management and process control
    utils/         # Shared utilities (HTTP, output, logging)
    version/       # Version and upgrade handling
  internal/        # Internal packages (not exported)
    tui/           # Reusable TUI components
    buildinfo/     # Build-time information

Quick Reference

Cobra Commands

  • Use RunE over Run for error handling
  • Register flags in init() functions
  • Use persistent flags for shared options
  • Validate arguments with Args field

Bubbletea TUI

  • Implement Init(), Update(), View() interface
  • Use message types for state changes
  • Return tea.Cmd for async operations
  • Keep state immutable in Update()

Lipgloss Styling

  • Define styles as package-level constants
  • Use lipgloss.NewStyle() for styling
  • Handle terminal width dynamically
  • Support color themes via style variables

Shared Go Skills

This skill extends the base Go skills. See:

LinkDescription
go-skills/SKILL.mdOverview and quick reference
go-skills/patterns.mdIdiomatic Go patterns
go-skills/concurrency.mdGoroutines, channels, sync
go-skills/error-handling.mdError wrapping, sentinels
go-skills/testing.mdTable-driven tests, mocks
go-skills/security.mdInput validation, secure coding

CLI-Specific Checklists

FileDescription
cobra.mdCobra command patterns, flags, validation
bubbletea.mdBubbletea Model/Update/View patterns
performance.mdCLI-specific optimizations

Key Patterns in This Codebase

Command Registration Pattern

var myCmd = &cobra.Command{
    Use:   "mycommand [args]",
    Short: "Brief description",
    Long:  `Extended description with examples.`,
    Args:  cobra.MaximumNArgs(1),
    RunE: func(cmd *cobra.Command, args []string) error {
        // Implementation with error returns
        return nil
    },
}

func init() {
    rootCmd.AddCommand(myCmd)
    myCmd.Flags().StringVar(&flagVar, "flag", "default", "Flag description")
}

TUI Model Pattern

type myModel struct {
    viewport viewport.Model
    textarea textarea.Model
    width    int
    height   int
    err      error
}

func (m myModel) Init() tea.Cmd {
    return tea.Batch(m.textarea.Focus(), doAsyncWork())
}

func (m myModel) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
    var cmds []tea.Cmd
    switch msg := msg.(type) {
    case tea.WindowSizeMsg:
        m.width = msg.Width
        m.height = msg.Height
    case tea.KeyMsg:
        switch msg.String() {
        case "ctrl+c":
            return m, tea.Quit
        }
    }
    return m, tea.Batch(cmds...)
}

func (m myModel) View() string {
    return lipgloss.JoinVertical(lipgloss.Left,
        m.viewport.View(),
        m.textarea.View(),
    )
}

Output API Pattern

// Use the output API for consistent messaging
utils.OutputInfo("Starting service %s...", serviceName)
utils.OutputSuccess("Service started successfully")
utils.OutputError("Failed to start service: %v", err)
utils.OutputProgress("Downloading model...")
utils.OutputWarning("Service already running")

Service Orchestration Pattern

// Ensure services are running before operations
factory := GetServiceConfigFactory()
config := factory.ServerOnly(serverURL)
orchestrator.EnsureServicesOrExitWithConfig(config, "server")

// Or with multiple services
config := factory.RAGCommand(serverURL)
orchestrator.EnsureServicesOrExitWithConfig(config, "server", "rag", "universal-runtime")

Guidelines

  1. User Experience First: CLI should feel responsive and provide clear feedback
  2. Graceful Degradation: Handle missing services, network errors, and timeouts gracefully
  3. Consistent Output: Use the output API for all user-facing messages
  4. Cross-Platform: Test on macOS, Linux, and Windows
  5. Terminal Compatibility: Test with different terminal emulators and sizes

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