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.
npx skills add https://github.com/ancoleman/ai-design-components --skill building-clis
Build professional command-line interfaces across Python, Go, and Rust using modern frameworks with robust argument parsing, configuration management, and shell integration.
Use this skill when:
Common triggers: "create a CLI tool", "build a command-line interface", "add CLI arguments", "parse command-line options", "generate shell completions"
Python Projects:
Go Projects:
Rust Projects:
For detailed framework comparison and selection criteria, see references/framework-selection.md.
Positional Arguments:
convert input.jpg output.pngOptions:
--output file.txt, --config app.yamlFlags:
--verbose, --dry-run, --forceDecision 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.
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.
Standard Precedence (Highest to Lowest):
./config.yaml)~/.config/app/config.yaml)/etc/app/config.yaml)Best Practices:
--help--print-config to show effective configuration~/.config/app/) for config filesSee references/configuration-management.md for implementation patterns across languages.
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:
--output flag (json, yaml, table)See references/output-formatting.md for formatting strategies.
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:
See examples/python/ for complete working examples including subcommands, config management, and interactive features.
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:
See examples/go/ for complete working examples including Viper config and multi-level subcommands.
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:
See examples/rust/ for complete working examples including subcommands and builder API patterns.
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);
}
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
}
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.
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/*
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
Publish:
cargo login
cargo publish
Installation:
cargo install myapp
See references/distribution.md for comprehensive packaging strategies including binary releases.
Always Provide:
--help and -h for usage information--version and -V for version displayArgument Handling:
-- separator for options vs. positional args-v) and long (--verbose) formsError Handling:
Interactivity:
--yes/--force to skip prompts for automationFile Formats:
--check-configSecret Management:
Precedence:
--print-config to show effective configurationtesting-strategies:
building-ci-pipelines:
api-patterns:
secret-management:
Decision Frameworks:
Implementation Guides:
Code Examples:
Framework Recommendations:
Common Patterns:
Output Standards:
--output flagDistribution:
pip install)cargo install), binary releasesGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
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