platform-cli

Design and review CLI interfaces with standardized UX patterns.

16|15|Updated Jan 16, 2026
One-click install
npx skills add https://github.com/ravnhq/ai-toolkit --skill platform-cli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: platform-cli
Source: https://github.com/ravnhq/ai-toolkit/tree/main/skills/platform-cli
Command: npx skills add https://github.com/ravnhq/ai-toolkit --skill platform-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams design and review robust, user-friendly CLI interfaces by applying proven patterns for commands, flags, and output.

Core Features & Use Cases

  • Enforces consistent noun-verb subcommand structure to improve discoverability and predictability.
  • Promotes standard flag naming, stdout/stderr separation, and machine-readable formats to enable scripting.
  • Provides guidance for error handling, signals, distribution, and versioning across CLI projects.
  • Use Case: When building a new CLI tool, use this Skill to draft a clean surface and evaluate existing CLIs for UX improvements.

Quick Start

Describe a simple CLI surface for a project management CLI: define top-level commands, a couple of subcommands, a few flags, and a --json output option.

Frequently Asked Questions about platform-cli

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

FAQPage Schema
What are the best practices for designing a command-line interface structure?

CLI design best practices involve using a noun-verb subcommand structure to improve discoverability, standardizing flag naming conventions, and separating stdout and stderr streams for predictable user and machine consumption.

How do I structure CLI commands and flags for better UX?

To structure CLI commands for better UX, apply a noun-verb subcommand pattern, define conventional flag naming, and include a machine-readable output format like a --json option to enable reliable scripting and automation.

When should I separate stdout and stderr in a CLI application?

Separate stdout and stderr in a CLI application whenever outputting data intended for machine-readable piping, ensuring that operational logs, help text, and error handling messages do not corrupt the standard data stream.

Can I use these CLI design patterns to review an existing tool?

Yes, you can use these standardized UX patterns to review existing CLIs by evaluating their command surface, flag naming consistency, error handling, and output format separation to identify areas for improvement.

Does a good CLI design pattern require machine-readable output formats?

Robust CLI design requires stable machine-readable output formats to enable scripting, ensuring that structured data outputs remain predictable across versions without breaking dependent automation workflows.