Enforce production-grade Python coding standards across projects.
npx skills add https://github.com/nkartik94/agentic-skills --skill production-python
Please help me install this Agent Skill. Skill: production-python Source: https://github.com/nkartik94/agentic-skills/tree/main/skills/production-python Command: npx skills add https://github.com/nkartik94/agentic-skills --skill production-python
This guide defines production-grade Python coding conventions for modules, classes, functions, Pydantic models, SQLAlchemy models, and tests, helping teams write maintainable, reliable Python software.
Scaffold a Python project that adheres to the production-python conventions and validate code against the SKILL.md rules.
High-intent search queries and answers about installing and using this skill.
Production-grade Python coding conventions enforce rules for module structure, type hints, docstrings, and import organization to ensure maintainability and reliability across software projects.
Apply production-grade Python conventions to scaffold project layouts that integrate standardized logging practices, structured error handling, and repository patterns from initial setup through final code review.
The best way to structure data models is applying production-grade Python conventions that define specific architectural patterns and validation rules for Pydantic models and SQLAlchemy 2.0 mappings.
Yes, these Python coding standards guide continuous integration readiness by enforcing consistent test structures, naming conventions, and formatting rules across the entire codebase during reviews.
You need coding conventions for Python data models and persistence layers to enforce consistent architecture patterns, ensure proper type hinting, and maintain reliable database interactions across development teams.
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