writing-python

Type hints enforce function and API signatures across your codebase. This Skill teaches explicit type annotation patterns using stdlib tools like mypy for validation, ensuring robust APIs and catching errors early without heavy dependencies.

Clean error handling uses structured patterns like functional options and context propagation to manage failures explicitly. This Skill covers pattern-based approaches that reduce boilerplate and make error flows traceable in services, CLI tools, and libraries.

Yes. This Skill focuses on stdlib-first toolchains using uv, ruff, pytest, and mypy with dataclasses and pattern matching. It suits Python 3.14+ projects—CLI tools, scripts, services, and libraries—that minimize external dependencies while maintaining modern language features.

Pytest fixtures provide reusable test infrastructure. This Skill guides fixture design and testing patterns that pair with comprehensive type hints and structured error handling, enabling maintainable test suites for typed Python codebases.

Enforce typing by combining explicit type annotations, static analysis with mypy, and linting with ruff. This Skill applies these stdlib tools systematically to enforce idiomatic Python conventions across functions, modules, and APIs without adding framework overhead.