Which Python libraries are included in the tech stack?

The generator uses Click for the CLI framework, Pydantic for data validation, Rich for terminal formatting, and uv for efficient package management.

Can I use this for projects not intended for AI agents?

Absolutely. While optimized for AI, the clear project structure, robust error handling, and modern templates are beneficial for any professional Python CLI tool.

How does the three-part error pattern work?

Every error output is structured to explain exactly what went wrong, provide step-by-step instructions on how to fix it, and suggest specific commands to try next.

What makes a CLI 'AI-friendly'?

An AI-friendly CLI follows the 'Every Output is a Prompt' principle, providing clear, structured feedback and explicit next-step suggestions that guide AI agents toward the next logical action.

Does it support modern Python standards?

Yes, it utilizes pyproject.toml and hatchling for builds, ensuring compatibility with current Python packaging and distribution standards.

AI-Friendly CLI Generator

Name: AI-Friendly CLI Generator
Author: kjgarza

bykjgarza

開発者ツール

Generates Python command-line interfaces optimized for AI agents using Click, Pydantic, and modern best practices.

概要

The CLI Generator skill streamlines the creation of Python-based command-line tools specifically designed for agentic coding environments. Based on the philosophy that 'Every Output is a Prompt,' it scaffolds projects that provide structured, conversational feedback to guide AI agents through successful executions and troubleshooting. By integrating Click for routing, Pydantic for data modeling, and Rich for terminal formatting, this skill ensures that CLI tools are as readable and actionable for machines as they are for humans.

主な機能

Pydantic-based response models for structured data handling
Conversational output patterns for success and error states
0 GitHub stars
Help text templates featuring functional usage examples
Rich terminal formatting with tables and stylized status indicators
Automated project scaffolding using uv and Python

ユースケース

Standardizing CLI error reporting with actionable fix instructions
Building internal developer tools optimized for AI agent interaction
Scaffolding new Python projects with modern dependency management

概要

主な機能

Pydantic-based response models for structured data handling
Conversational output patterns for success and error states
0 GitHub stars
Help text templates featuring functional usage examples
Rich terminal formatting with tables and stylized status indicators
Automated project scaffolding using uv and Python

ユースケース

Standardizing CLI error reporting with actionable fix instructions
Building internal developer tools optimized for AI agent interaction
Scaffolding new Python projects with modern dependency management