cli-guidelines-resources-06

Apply clig.dev guidelines to design consistent CLI interfaces across Python, Go, Rust, and Node.js.

9|Updated Jan 31, 2017
One-click install
npx skills add https://github.com/ssiumha/dots --skill cli-guidelines-resources-06
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cli-guidelines-resources-06
Source: https://github.com/ssiumha/dots/tree/main/prompts/skills/cli-guidelines
Command: npx skills add https://github.com/ssiumha/dots --skill cli-guidelines-resources-06

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Interactive prompts and user confirmations are essential for safe, user-friendly CLI workflows.

Core Features & Use Cases

  • Prompting patterns, yes/no decisions, and selection prompts
  • TTY-aware prompts and non-interactive fallbacks
  • Safe defaults and validation for user input

Quick Start

Add interactive prompts with sensible defaults and robust fallbacks for non-interactive environments.

Frequently Asked Questions about cli-guidelines-resources-06

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add interactive prompts to my CLI application?

Interactive prompts let users confirm actions and make selections safely. Use TTY-aware prompting patterns with sensible defaults and non-interactive fallbacks for scripted environments. This approach works across Python, Go, Rust, and Node.js CLI tools to ensure robust user input handling.

What's the best way to handle user confirmations in command-line tools?

Yes/no decisions and selection prompts should validate input, respect safe defaults, and detect when running interactively versus in a pipeline. Apply consistent patterns for confirmations that align with clig.dev guidelines to create predictable, user-friendly workflows across platforms.

How do I make CLI prompts work in non-interactive environments?

TTY-aware prompts detect interactive terminals and fall back to sensible defaults or environment variables when piped or backgrounded. This pattern ensures your CLI integrates safely into scripts, CI/CD pipelines, and automation workflows without requiring user interaction.

Can I build consistent interactive CLI interfaces across different programming languages?

Yes. Apply clig.dev-based guidelines for argument design, help messaging, error handling, and prompting across Python, Go, Rust, and Node.js. Consistent patterns for interactivity, exit codes, and output formatting make CLI tools predictable regardless of implementation language.

What input validation patterns should CLI prompts use?

Validate user input at the prompt level with clear error messages and retry logic. Use structured patterns for yes/no decisions and selections that handle edge cases, empty input, and invalid options. Combine validation with sensible defaults to guide users toward correct input.