python-project

Use a src/ layout with Pydantic for runtime validation, mypy for static type checking, and async patterns throughout. This Skill provides a complete blueprint covering project structure, tooling with Ruff, dependencies via uv, and async-first execution for APIs, CLIs, and data pipelines.

Initialize with uv, adopt src/ layout, add FastAPI and Pydantic as core dependencies, configure Ruff as your single lint/format tool via pyproject.toml, and enable type hints everywhere. This Skill delivers a ready-to-use architecture eliminating boilerplate and setup complexity.

Yes. Use uv for dependency management and pyproject.toml as your sole configuration file. This Skill demonstrates a no-setup.py strategy with modern tooling, LiteLLM proxy integration for LLM calls, and unified dependency/version management.

Apply async-first execution to internal calls and external services using httpx and FastAPI where applicable. This Skill covers async patterns across APIs, CLIs, and data pipelines with type hints and modern project structure to maximize throughput.

Yes. This Skill integrates SQLAlchemy with Pydantic for runtime validation and mypy for static type checking, providing pervasive type hints across your data layer and API endpoints in a src/ layout.

Use Ruff as a unified linter and formatter, replacing Black, isort, and flake8 in a single tool. This Skill adopts Ruff as part of a modern Python toolchain alongside uv, Pydantic, FastAPI, and async patterns.