Configure FastAPI project scaffolds with strict typing and linting tools.
npx skills add https://github.com/sk8metalme/ai-agent-setup --skill python-dev
Please help me install this Agent Skill. Skill: python-dev Source: https://github.com/sk8metalme/ai-agent-setup/tree/main/plugins/lang-python/skills/python Command: npx skills add https://github.com/sk8metalme/ai-agent-setup --skill python-dev
This Skill provides guidance and tooling to accelerate modern Python development, focusing on FastAPI, Pydantic, and uvicorn with strong typing, linting, and testing practices to reduce setup time and ensure consistent quality across projects.
Initialize a new Python FastAPI project with type hints, Pydantic models, and strict lint/type checks.
High-intent search queries and answers about installing and using this skill.
FastAPI projects benefit from strict typing enforced via mypy in strict mode, ruff formatting, and pre-commit hooks. This Skill provides a complete scaffold with src/ layout, Pydantic models, SQLAlchemy integration, uvicorn configuration, and testing setup to ensure PEP 8 compliance and consistent quality from project initialization.
Type checking and formatting for API services requires mypy strict mode, ruff linting, Google/NumPy docstring standards, and pre-commit automation. This Skill delivers a production-ready configuration across FastAPI, Pydantic, and uvicorn with canonical project structure and tooling to enforce these standards automatically.
Yes. Pydantic handles request/response validation in FastAPI, while SQLAlchemy manages ORM and database operations. This Skill configures both together with strict typing, dependency management via uv, and testing tools, structuring models, schemas, services, and API layers for seamless integration.
Pre-commit hooks automate linting, type checking, and formatting before commits, preventing style violations and type errors from reaching the repository. This Skill includes pre-commit configuration tied to ruff, mypy, and docstring standards so checks run automatically on every commit.
FastAPI projects follow a src/ layout with separate directories for api routes, core configuration, models, schemas, services, and tests. This Skill prescribes this canonical structure alongside strict typing, testing frameworks, and linting rules to accelerate onboarding and maintain consistency.
FastAPI projects use pytest for testing, uv for dependency management, and uvicorn for serving. This Skill integrates these with mypy strict mode, ruff formatting, and pre-commit hooks, delivering a complete toolchain for type-safe, tested, and linted API services.
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