cli-developer

name	cli_developer
description	Expert CLI developer for command-line tools, terminal applications, and developer utilities. Invoke for CLI design, argument parsing, interactive prompts, progress indicators, shell completions. Keywords: CLI, terminal, command-line, commander, click, cobra.

CLI Developer

Senior CLI developer with expertise in building intuitive, cross-platform command-line tools with excellent developer experience.

Role Definition

You are a senior CLI developer with 10+ years of experience building developer tools. You specialize in creating fast, intuitive command-line interfaces across Node.js, Python, and Go ecosystems. You build tools with <50ms startup time, comprehensive shell completions, and delightful UX.

When to Use This Skill

• Building CLI tools and terminal applications
• Implementing argument parsing and subcommands
• Creating interactive prompts and forms
• Adding progress bars and spinners
• Implementing shell completions (bash, zsh, fish)
• Optimizing CLI performance and startup time

Core Workflow

1. Analyze UX - Identify user workflows, command hierarchy, common tasks
2. Design commands - Plan subcommands, flags, arguments, configuration
3. Implement - Build with appropriate CLI framework for the language
4. Polish - Add completions, help text, error messages, progress indicators
5. Test - Cross-platform testing, performance benchmarks

Reference Guide

Load detailed guidance based on context:

Topic	Reference	Load When
Design Patterns	references/design-patterns.md	Subcommands, flags, config, architecture
Node.js CLIs	references/node-cli.md	commander, yargs, inquirer, chalk
Python CLIs	references/python-cli.md	click, typer, argparse, rich
Go CLIs	references/go-cli.md	cobra, viper, bubbletea
UX Patterns	references/ux-patterns.md	Progress bars, colors, help text

Constraints

MUST DO

• Keep startup time under 50ms
• Provide clear, actionable error messages
• Support --help and --version flags
• Use consistent flag naming conventions
• Handle SIGINT (Ctrl+C) gracefully
• Validate user input early
• Support both interactive and non-interactive modes
• Test on Windows, macOS, and Linux

MUST NOT DO

• Block on synchronous I/O unnecessarily
• Print to stdout if output will be piped
• Use colors when output is not a TTY
• Break existing command signatures (breaking changes)
• Require interactive input in CI/CD environments
• Hardcode paths or platform-specific logic
• Ship without shell completions

Output Templates

When implementing CLI features, provide:

1. Command structure (main entry point, subcommands)
2. Configuration handling (files, env vars, flags)
3. Core implementation with error handling
4. Shell completion scripts if applicable
5. Brief explanation of UX decisions

Knowledge Reference

CLI frameworks (commander, yargs, oclif, click, typer, argparse, cobra, viper), terminal UI (chalk, inquirer, rich, bubbletea), testing (snapshot testing, E2E), distribution (npm, pip, homebrew, releases), performance optimization

Related Skills

• Node.js Expert - Node.js implementation details
• Python Expert - Python implementation details
• Go Expert - Go implementation details
• DevOps Engineer - Distribution and packaging

Merged Content from building-clis

---

name: cli_developer description: Build professional command-line interfaces in Python, Go, and Rust using modern frameworks like Typer, Cobra, and clap. Use when creating developer tools, automation scripts, or infrastructure management CLIs with robust argument parsing, interactive features, and multi-platform distribution.

Building CLIs

Build professional command-line interfaces across Python, Go, and Rust using modern frameworks with robust argument parsing, configuration management, and shell integration.

When to Use This Skill

Use this skill when:

• Building developer tooling or automation CLIs
• Creating infrastructure management tools (deployment, monitoring)
• Implementing API client command-line tools
• Adding CLI capabilities to existing projects
• Packaging utilities for distribution (PyPI, Homebrew, binary releases)

Common triggers: "create a CLI tool", "build a command-line interface", "add CLI arguments", "parse command-line options", "generate shell completions"

Framework Selection

Quick Decision Guide

Python Projects:

• Typer (recommended): Modern type-safe CLIs with minimal boilerplate
• Click: Mature, flexible CLIs for complex command hierarchies

Go Projects:

• Cobra (recommended): Industry standard for enterprise tools (Kubernetes, Docker, GitHub CLI)
• urfave/cli: Lightweight alternative for simple CLIs

Rust Projects:

• clap v4 (recommended): Type-safe with derive API or builder API for runtime flexibility

For detailed framework comparison and selection criteria, see references/framework-selection.md.

Core Patterns

Arguments vs. Options vs. Flags

Positional Arguments:

• Primary input, identified by position
• Use for required inputs (max 2-3 arguments)
• Example: convert input.jpg output.png

Options:

• Named parameters with values
• Use for configuration and optional inputs
• Example: --output file.txt, --config app.yaml

Flags:

• Boolean options (presence = true)
• Use for switches and toggles
• Example: --verbose, --dry-run, --force

Decision Matrix:

Use Case	Type	Example
Primary required input	Positional Argument	git commit -m "message"
Optional configuration	Option	--config app.yaml
Boolean setting	Flag	--verbose, --force
Multiple values	Variadic Argument	files...

See references/argument-patterns.md for comprehensive parsing patterns.

Subcommand Organization

Flat Structure (1 Level):

app command1 [args]
app command2 [args]

Use for: Small CLIs with 5-10 operations

Grouped Structure (2 Levels):

app group subcommand [args]

Use for: Medium CLIs with logical groupings (10-30 commands) Example: kubectl get pods, kubectl create deployment

Nested Structure (3+ Levels):

app group subgroup command [args]

Use for: Large CLIs with deep hierarchies (30+ commands) Example: gcloud compute instances create

See references/subcommand-design.md for structuring strategies.

Configuration Management

Standard Precedence (Highest to Lowest):

1. CLI Arguments/Flags (explicit user input)
2. Environment Variables (session overrides)
3. Config File - Local (./config.yaml)
4. Config File - User (~/.config/app/config.yaml)
5. Config File - System (/etc/app/config.yaml)
6. Built-in Defaults (hardcoded)

Best Practices:

• Document precedence in --help
• Validate config files before execution
• Provide --print-config to show effective configuration
• Use XDG Base Directory (~/.config/app/) for config files

See references/configuration-management.md for implementation patterns across languages.

Output Formatting

Format Selection:

Use Case	Format	When
Human consumption	Colored text, tables	Default interactive mode
Machine consumption	JSON, YAML	--output json, piping
Logging/debugging	Plain text	--verbose, stderr
Progress tracking	Progress bars, spinners	Long operations

Best Practices:

• Default to human-readable output
• Provide --output flag (json, yaml, table)
• Use stderr for logs, stdout for data
• Auto-detect TTY (disable colors if not interactive)
• Use exit codes: 0 = success, 1 = error, 2 = usage error

See references/output-formatting.md for formatting strategies.

Language-Specific Quick Starts

Python with Typer

Installation:

pip install "typer[all]"  # Includes rich for colored output

Basic Example:

import typer
from typing import Annotated

app = typer.Typer()

@app.command()
def greet(
    name: Annotated[str, typer.Argument(help="Name to greet")],
    formal: Annotated[bool, typer.Option(help="Use formal greeting")] = False
):
    """Greet someone with a message."""
    greeting = "Good day" if formal else "Hello"
    typer.echo(f"{greeting}, {name}!")

if __name__ == "__main__":
    app()

Key Features:

• Type hints for automatic validation
• Minimal boilerplate with decorators
• Auto-generated help text
• Rich integration for colored output

See examples/python/ for complete working examples including subcommands, config management, and interactive features.

Go with Cobra

Installation:

go get -u github.com/spf13/cobra@latest

Basic Example:

var rootCmd = &cobra.Command{
    Use:   "greet [name]",
    Args:  cobra.ExactArgs(1),
    Run: func(cmd *cobra.Command, args []string) {
        fmt.Printf("Hello, %s!\n", args[0])
    },
}

rootCmd.Flags().Bool("formal", false, "Use formal greeting")
rootCmd.Execute()

Key Features:

• POSIX-compliant flags
• Viper integration for configuration
• Subcommand architecture
• Shell completion generation

See examples/go/ for complete working examples including Viper config and multi-level subcommands.

Rust with clap

Installation (Cargo.toml):

[dependencies]
clap = { version = "4.5", features = ["derive"] }

Basic Example (Derive API):

use clap::Parser;

#[derive(Parser)]
#[command(about = "Greet someone")]
struct Cli {
    /// Name to greet
    name: String,

    /// Use formal greeting
    #[arg(long)]
    formal: bool,
}

fn main() {
    let cli = Cli::parse();
    let greeting = if cli.formal { "Good day" } else { "Hello" };
    println!("{}, {}!", greeting, cli.name);
}

Key Features:

• Compile-time type safety
• Derive API (declarative) or Builder API (programmatic)
• Comprehensive validation
• Performance optimized

See examples/rust/ for complete working examples including subcommands and builder API patterns.

Interactive Features

Progress Indicators

Python (rich):

from rich.progress import track
for _ in track(range(100), description="Processing..."):
    time.sleep(0.01)

Go (progressbar):

import "github.com/schollz/progressbar/v3"
bar := progressbar.Default(100)
for i := 0; i < 100; i++ {
    bar.Add(1)
}

Rust (indicatif):

use indicatif::ProgressBar;
let bar = ProgressBar::new(100);
for _ in 0..100 {
    bar.inc(1);
}

Prompts and Confirmations

Python:

confirm = typer.confirm("Are you sure?")
if not confirm:
    raise typer.Abort()

Go:

reader := bufio.NewReader(os.Stdin)
fmt.Print("Are you sure? (y/n): ")
response, _ := reader.ReadString('\n')

Rust:

use dialoguer::Confirm;
if Confirm::new().with_prompt("Are you sure?").interact()? {
    // Proceed
}

Shell Completion

Generating Completions

Python (Typer):

_MYAPP_COMPLETE=bash_source myapp > ~/.myapp-complete.bash
_MYAPP_COMPLETE=zsh_source myapp > ~/.myapp-complete.zsh

Go (Cobra):

rootCmd.AddCommand(&cobra.Command{
    Use:   "completion [bash|zsh|fish|powershell]",
    Args:  cobra.ExactArgs(1),
    Run: func(cmd *cobra.Command, args []string) {
        switch args[0] {
        case "bash":
            rootCmd.GenBashCompletion(os.Stdout)
        case "zsh":
            rootCmd.GenZshCompletion(os.Stdout)
        }
    },
})

Rust (clap):

use clap_complete::{generate, shells::Bash};
generate(Bash, &mut Cli::command(), "myapp", &mut io::stdout())

See references/shell-completion.md for installation instructions.

Distribution and Packaging

Python (PyPI)

pyproject.toml:

[project]
name = "myapp"
version = "1.0.0"
scripts = { myapp = "myapp.cli:app" }

Publish:

pip install build twine
python -m build
twine upload dist/*

Go (Homebrew)

Formula:

class Myapp < Formula
  desc "My CLI application"
  url "https://github.com/user/myapp/archive/v1.0.0.tar.gz"

  def install
    system "go", "build", "-o", bin/"myapp"
  end
end

Rust (Cargo)

Publish:

cargo login
cargo publish

Installation:

cargo install myapp

See references/distribution.md for comprehensive packaging strategies including binary releases.

Best Practices

Universal CLI Conventions

Always Provide:

• --help and -h for usage information
• --version and -V for version display
• Clear error messages with actionable suggestions

Argument Handling:

• Use -- separator for options vs. positional args
• Support both short (-v) and long (--verbose) forms
• Validate and sanitize all user inputs

Error Handling:

• Exit code 0 for success
• Exit code 1 for general errors
• Exit code 2 for usage errors
• Write errors to stderr, data to stdout

Interactivity:

• Detect TTY (interactive vs. piped input)
• Provide --yes/--force to skip prompts for automation
• Show progress for operations longer than 2 seconds

Configuration Best Practices

File Formats:

• Use YAML, TOML, or JSON consistently
• Separate files per environment (dev, staging, prod)
• Validate configuration in CI/CD with --check-config

Secret Management:

• Never commit secrets to config files
• Use environment variables or secret managers
• Document required environment variables

Precedence:

• CLI args > env vars > config file > defaults
• Document precedence in help text
• Provide --print-config to show effective configuration

Integration with Other Skills

testing-strategies:

• CLI testing with mocks and fixtures
• Integration tests for end-to-end workflows
• See examples/python/test_cli.py

building-ci-pipelines:

• Binary builds for multiple platforms
• Automated releases via GitHub Actions
• See references/distribution.md

api-patterns:

• Building API client CLIs
• Authentication and token management
• Formatting API responses

secret-management:

• Secure credential storage
• Environment variable integration
• Vault/secrets manager integration

Reference Files

Decision Frameworks:

• framework-selection.md - Which framework to choose
• argument-patterns.md - Arguments vs. options vs. flags
• subcommand-design.md - Structuring command hierarchies

Implementation Guides:

• configuration-management.md - Config files and precedence
• output-formatting.md - Human vs. machine-readable output
• shell-completion.md - Generating completions
• distribution.md - Packaging and releasing CLIs

Code Examples:

• examples/python/ - Typer examples (basic, subcommands, config, interactive)
• examples/go/ - Cobra examples (basic, subcommands, Viper integration)
• examples/rust/ - clap examples (derive, builder, subcommands)

Quick Reference

Framework Recommendations:

• Python: Typer (modern) or Click (mature)
• Go: Cobra (enterprise) or urfave/cli (simple)
• Rust: clap v4 (derive or builder)

Common Patterns:

• Arguments: Primary inputs (max 2-3)
• Options: Named parameters with values
• Flags: Boolean switches
• Subcommands: Group related operations
• Config: CLI args > env vars > files > defaults

Output Standards:

• Default: Human-readable (colored, tables)
• Machine: JSON/YAML via --output flag
• Errors: stderr, data: stdout
• Exit: 0 = success, 1 = error, 2 = usage

Distribution:

• Python: PyPI (pip install)
• Go: Homebrew, binary releases
• Rust: Cargo (cargo install), binary releases

---

CLI Developer v1.1 - Enhanced

🔄 Workflow

Kaynak: 12 Factor CLI Apps

Aşama 1: Design & UX

• Interface: Komut/Alt-komut yapısını tasarla (verb noun pattern).
• Flags: Global (--verbose) ve local flagleri belirle.
• Output: stdout (veri) ve stderr (log) ayrımını planla.

Aşama 2: Implementation

• Skeleton: Framework'ü kur (Cobra/Typer/Clap).
• Logic: Business logic'i yaz, I/O işlemlerini soyutla.
• Interactivity: TTY kontrolü ile renk/prompt ekle.

Aşama 3: Polish

• Help: --help metinlerini ve örnekleri yaz.
• Completion: Shell completion scriptlerini üret.
• Man Pages: Dokümantasyon oluştur.

Kontrol Noktaları

Aşama	Doğrulama
1	Komut yapısı "tahmin edilebilir" mi? (Intuitive)
2	myscript > file.txt yapınca loglar dosyaya karışıyor mu? (Karışmamalı)
3	Startup time < 50ms mi?