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MrIbrahem
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python-development

Automate Python development workflows with type hints, tests, and PEP 8 compliance.

Updated Jan 24, 2026
Search Tags:#documentation#python#pep8#mypy#tests#type-hinting
One-click install
npx skills add https://github.com/MrIbrahem/publish_py --skill python-development-mribrahem
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-development
Source: https://github.com/MrIbrahem/publish_py/tree/main/.claude/skills/python-development
Command: npx skills add https://github.com/MrIbrahem/publish_py --skill python-development-mribrahem

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This guide helps Python developers write clean, idiomatic, and robust Python code by combining best practices for typing, testing, documentation, and error handling.

Core Features & Use Cases

  • Idiomatic Python style and PEP 8 compliance
  • Strong typing with type hints, mypy checks, and protocol-based typing
  • Test-driven development and thorough documentation
  • Patterns for decorators, context managers, and custom exceptions

Quick Start

Start by applying these guidelines to a new Python module and run the test suite to verify typing, style, and documentation.

Frequently Asked Questions about python-development

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

FAQPage Schema
How do I write clean Python code that passes mypy type checking and PEP 8 compliance?▼

To write clean Python that passes mypy and PEP 8, apply type hints to public APIs, add docstrings, and use explicit error handling. This approach automates workflows by codifying maintainable patterns for robust modules.

What is the best way to add type hints and protocol-based typing to an existing Python module?▼

The best way to add type hints and protocol-based typing is by applying strong typing guidelines to public APIs and running mypy checks. This ensures robust, maintainable code with explicit error handling.

How do I implement decorators and context managers for custom exceptions in Python?▼

Implement decorators and context managers by following codified patterns for custom exceptions and explicit error handling. This ensures your Python modules maintain robust execution and clean resource management.

Does this Python development workflow support test-driven development and refactoring?▼

Yes, this Python development workflow supports test-driven development and refactoring by requiring thorough documentation and test suites. It verifies typing, style, and documentation to ensure maintainable code.

When should I use explicit error handling and async patterns in Python development?▼

Use explicit error handling and async patterns when optimizing memory or building robust Python modules. This approach ensures maintainable code by satisfying requirements for type safety and PEP 8 compliance.

Why does my Python refactoring fail mypy checks and PEP 8 style validations?▼

Python refactoring fails mypy and PEP 8 validations when modules lack type hints on public APIs, docstrings, or explicit error handling. Applying these best practices ensures robust, maintainable code.

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