Quality Run Type Checking

Execute ruff-based code quality checks and formatting across Python projects. This skill covers running linting scans, applying safe auto-fixes, and formatting code to match project standards—plus interpreting common violation codes and configuring ruff rules in pyproject.toml.

This skill diagnoses and resolves Python type checking errors by categorizing them into patterns—missing annotations, type mismatches, Optional handling, generics, and attribute issues—then applies targeted fixes. It works with pyright and mypy output, includes automation scripts for batch corrections, and guides you through verification to maintain strict type safety.

This skill automates Definition of Done enforcement by detecting your project type and running all quality gates—type checking, linting, dead code detection, and tests—in sequence. It captures failures by category, provides specific fixes, and re-runs gates until everything passes, ensuring code truly meets your standards before task completion.

mypy brings static type checking to Python through gradual adoption of type hints, letting you add type safety incrementally without rewriting existing code. It supports strict mode for maximum safety, works seamlessly with FastAPI and Django, and uses type inference to minimize annotation overhead.

Learn to use ty, Astral's high-performance Rust-based type checker for Python. This skill covers adding type annotations, resolving type errors, configuring rules, and migrating from mypy or pyright. Explore advanced patterns like intersection types and protocols, plus editor integration for VS Code, Cursor, Neovim, and PyCharm.

Python Pro is a specialist for building modern Python 3.11+ applications with complete type coverage, async-first design, and robust error handling. It generates type-annotated code, configures strict mypy validation, creates comprehensive pytest suites, and enforces code quality with black and ruff.