Guide Django and FastAPI development with architecture and code review patterns.
npx skills add https://github.com/arbazkhan971/godmode --skill django-arbazkhan971
Please help me install this Agent Skill. Skill: django Source: https://github.com/arbazkhan971/godmode/tree/main/skills/django Command: npx skills add https://github.com/arbazkhan971/godmode --skill django-arbazkhan971
Django and FastAPI development guidance to help you architect, build, and optimize Python web applications, with practical patterns and rationale.
Run a quick architectural review of your Django or FastAPI project and receive a concrete optimization plan.
High-intent search queries and answers about installing and using this skill.
To optimize Django ORM queries for scalable web applications, apply architectural patterns like select_related and prefetch_related to minimize database hits. This Skill enforces ORM optimization best practices during code reviews to ensure your project maintains robust performance under load.
The best way to structure a FastAPI project with Pydantic models and async ASGI is to use modular boundaries and dependency injection. This Skill provides architectural guidance for async application structure, ensuring secure ASGI deployment and explicit configurations.
To design DRF serializers and viewsets for robust API validation, enforce best practices for contracts and data serialization. This Skill guides API design by applying DRF patterns that ensure traceable decisions and explicit configurations across your Django REST Framework architecture.
Yes, this guidance covers Django admin customization and production deployment considerations. It provides targeted admin patterns and deployment rules to help engineers build scalable Python web applications while ensuring secure ASGI deployment and traceable architectural decisions.
Yes, you can get a quick architectural review for your existing Django or FastAPI codebase. This Skill automates guidance to analyze your project structure, identify optimization opportunities, and output a concrete plan for building scalable and robust Python apps.
gensart-projsGuide Python framework selection and project structure decisions.
litestar-orgGenerate production deployment configurations for Litestar ASGI applications across Docker, Kubernetes, Cloud Run, Railway, and systemd.
Renzo-TognellaDefine and validate Pydantic data models for Python schemas.
litestar-orgGenerate SQLAlchemy models, repositories, and services for Python web frameworks.
