Use this skill when writing, reviewing, debugging, or architecting Python 3.10+ code, including type hints, structural pattern matching, dataclasses, async/task groups, packaging-aware project structure, testability, and maintainability.
Instalação
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Use this skill when writing, reviewing, debugging, or architecting Python 3.10+ code, including type hints, structural pattern matching, dataclasses, async/task groups, packaging-aware project structure, testability, and maintainability.
compatibility
Supports Python 3.10 to 3.14. Requires a Python project structure (pyproject.toml, requirements.txt, or venv).
metadata
{"version":"1.0.0","category":"Core"}
Python 3.10+ Expert Skill
Trigger On
The user asks to write, debug, review, or refactor Python code.
Working in a repository containing *.py, pyproject.toml, requirements.txt, Pipfile, or poetry.lock.
Requires asynchronous programming (asyncio), type hinting, or modern Python feature recommendations.
The project needs setup for testing frameworks (pytest) or static analysis tools (ruff, mypy).
Workflow
Perceive:
Inspect the project root to identify package management tools: pyproject.toml (Poetry/PDM/Ruff), requirements.txt (pip), or environment.yml (Conda).
Probe for Python version requirements (ensure compatibility with 3.10+ minimum).
Identify the application type: Web API (FastAPI, Flask, Django), Data Science (Pandas, PyTorch), or CLI tools.
Reason:
Evaluate if the current code follows modern Python (3.10+) idioms (e.g., match/case, | union types).
Decide if type checking (MyPy/Pyright) or auto-formatting (Ruff/Black) needs to be introduced.
Recommend appropriate architectural patterns based on project scale.
Act:
Write Python code with complete Type Hints, prioritizing the X | Y syntax.
Prefer modern language features: match statements (3.10+), TaskGroup (3.11+), and new generic syntax (3.12+).
Ensure code passes static analysis and unit tests.
Coding Standards
Type Hinting: Strongly recommended for all function signatures. Use 3.10+ union syntax like list[int | str].
PEP 8 Compliance: Follow official style guidelines. Recommended to use ruff as a linter and formatter for consistency.
Async Processing: Use 3.11+ asyncio.TaskGroup to manage concurrent tasks.
Error Handling: Use specific exception types and leverage 3.11+ ExceptionGroup and except* syntax.
Tooling Recommendations
Linter / Formatter:ruff (high performance and highly integrated).
Type Checker:mypy or pyright.
Testing:pytest with pytest-asyncio or pytest-cov.
Package Management:Poetry or uv to ensure dependency locking and environment consistency.
Deliver
Code Quality Report: Identify parts that do not comply with 3.10+ modern syntax or PEP 8.
Best Practice Recommendations: Provide specific refactoring suggestions, such as converting complex logic into match/case structures.
Validated Code: Provide Python source code accompanied by test cases and passed type checks.
Validate
Code must run in a Python 3.10+ environment.
Functions should have Docstrings (following Google or NumPy styles).