tech-stack-python

Standardize Python project context by loading consistent build, test, type-checking, and linting patterns. This skill detects pyproject.toml or setup.py files to apply uniform workflow guidelines across AI-driven development teams.

Use standardized build and test patterns configured through mypy and ruff. The skill provides reference patterns and recommended tooling to ensure consistent type checking and linting across Python projects.

Yes, the Python workflow context supports FastAPI and Django framework patterns. It includes framework-specific guidance, ORM references, and testing practices to accelerate onboarding for these specific web frameworks.

Detect Python project configuration files by scanning for pyproject.toml or setup.py. The skill uses these files to automatically load the correct build, test, and linting context for your active project.

Yes, you can use this skill to set up ORM guidance and testing practices. It provides standardized reference files and recommended tooling configurations to speed up onboarding and maintain consistent testing workflows.

The best way to load Python workflow context is to apply standardized build, test, and linting commands directly from your project configuration. This ensures AI-assisted engineering tasks receive consistent framework and tooling references.