py-cli

Name: py-cli
Availability: InStock
Author: stevenke1981

Develop Python command-line applications with structured argument parsing and exit codes.

1|1|Updated Mar 28, 2026

Search Tags:#automation #cli #terminal #argparse #click #typer

Ready to run

npx skills add https://github.com/stevenke1981/python_skills --skill py-cli

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: py-cli
Source: https://github.com/stevenke1981/python_skills/tree/main/py-cli
Command: npx skills add https://github.com/stevenke1981/python_skills --skill py-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a standardized framework for building command-line interfaces that are user-friendly for humans, stable for shell scripts, and reliable for CI/CD automation.

Core Features & Use Cases

Framework Selection: Guidance on choosing between argparse, Typer, Click, or Textual based on project complexity and requirements.
Contract Management: Best practices for defining command arguments, exit codes, and stdout/stderr streams to ensure predictable behavior.
Automation Readiness: Implementation patterns for non-interactive execution, JSON output, and atomic file operations.

Quick Start

Use the py-cli skill to generate a new command-line tool structure using Typer that includes proper argument parsing and error handling.

Frequently Asked Questions about py-cli

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

FAQPage Schema

How do I build a robust Python CLI tool for CI/CD pipelines?▼

To build a robust Python CLI tool, define clear command contracts, standardize exit codes, and implement machine-readable output formats to ensure predictable execution in CI/CD pipelines.

What is the best way to choose between argparse, Click, and Typer for a command-line application?▼

Choosing between argparse, Click, and Typer depends on your project complexity and requirements, balancing built-in standard library support against advanced features for structured argument parsing and error handling.

How do I structure stdout and stderr streams for reliable shell script automation?▼

Structure stdout and stderr streams by separating machine-readable output from error messages, defining strict command contracts and exit code standards to ensure stable behavior for shell script automation.

Does this Python CLI framework support non-interactive execution in automated environments?▼

Yes, the framework supports non-interactive execution in automated environments by implementing patterns for machine-readable JSON output and atomic file operations tailored for containerized tasks.

Why define command contracts and exit code standards for terminal applications?▼

Defining command contracts and exit code standards for terminal applications ensures high-quality CLI UX, predictable behavior across interactive shells, and reliable error handling for shell scripts.