Skip to main content

python

Guides Python development with modern idioms, tooling, and project structure. ALWAYS trigger on "python project", "pyproject.toml", "ruff", "mypy", "pytest", "poetry", "python setup", "type hints", "pydantic", "dataclass", "async python", "asyncio", "python anti-pattern", "python best practices", "python tooling", "python lint". Use when setting up Python projects, configuring tooling, choosing data modeling approaches, or writing tests. Different from testing skill which covers general test strategy; this covers Python-specific pytest patterns and tooling configs.

Datos de origen

Repositorio
aj-geddes/unicorn-team
Última actividad en el origen
10 de marzo de 2026 a las 10:15
Idioma detectado de SKILL.md
inglés
Estrellas
14
Forks
6

Opciones de instalación

De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.

Revisa los archivos de origen

Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

Explorador de archivos
6 archivos

Mostrando SKILL.md

SKILL.md
Instrucciones de origen · Vista previa de solo lectura
name
python
description
Guides Python development with modern idioms, tooling, and project structure. ALWAYS trigger on "python project", "pyproject.toml", "ruff", "mypy", "pytest", "poetry", "python setup", "type hints", "pydantic", "dataclass", "async python", "asyncio", "python anti-pattern", "python best practices", "python tooling", "python lint". Use when setting up Python projects, configuring tooling, choosing data modeling approaches, or writing tests. Different from testing skill which covers general test strategy; this covers Python-specific pytest patterns and tooling configs.
<!-- Last reviewed: 2026-03 --> # Python Domain Skill ## Modern Type Hints (3.10+) ```python # Union with | operator def process(value: int | str | None) -> dict[str, int]: ... # Type aliases type UserID = int type Config = dict[str, str | int | bool] # See references/type-hints-advanced.md for: # - Generics and TypeVars # - Protocols (structural typing) # - Function overloading ``` ## Testing with Pytest ```python # Fixtures @pytest.fixture def sample_user(): return {"name": "Alice", "email": "alice@example.com"} # Parametrize @pytest.mark.parametrize("input,expected", [ (0, 0), (1, 1), (2, 4), ]) def test_square(input, expected): assert input ** 2 == expected # Mock with pytest-mock def test_api(mocker): mock_get = mocker.patch("requests.get") mock_get.return_value.json.return_value = {"status": "ok"} result = fetch_data() assert result["status"] == "ok" ``` **Coverage target: 80%+** ```bash pytest --cov=myapp --cov-report=term-missing --cov-fail-under=80 ``` **See references/testing-pytest.md for** advanced fixtures, mocking patterns, markers, plugins. ## Tooling ### Ruff (Linting + Formatting) Replaces Black, isort, flake8, pyupgrade. ```bash ruff check --fix . && ruff format . ``` ```toml # pyproject.toml [tool.ruff] line-length = 88 target-version = "py310" [tool.ruff.lint] select = ["E", "W", "F", "I", "N", "UP", "B", "C4", "SIM"] ignore = ["E501"] [tool.ruff.format] quote-style = "double" ``` ### Mypy (Type Checking) ```toml [tool.mypy] python_version = "3.10" strict = true warn_return_any = true disallow_untyped_defs = true ``` ### Poetry (Dependency Management) ```bash poetry init poetry add requests poetry add --group dev pytest pytest-cov ruff mypy poetry install poetry run pytest ``` **See references/tooling-config.md for** complete ruff rule sets, mypy options, pre-commit hooks, CI/CD. ## Async Programming ```python # Concurrent execution async def fetch_all(urls: list[str]) -> list[dict]: return await asyncio.gather(*[fetch_data(url) for url in urls]) # Async context manager class AsyncDatabase: async def __aenter__(self): self.connection = await connect() return self async def __aexit__(self, *args): await self.connection.close() ``` **See references/async-patterns.md for** task management, semaphores, queues, error handling, pitfalls. ## Data Modeling | Use case | Choose | Why | |----------|--------|-----| | Internal data, simple containers | `@dataclass` | Stdlib, fast, no deps | | Performance-critical, immutable | `@dataclass(frozen=True, slots=True)` | Minimal overhead | | External/untrusted data, APIs | `pydantic.BaseModel` | Auto-validation, serialization | | Config from environment | `pydantic_settings.BaseSettings` | Env var parsing, type coercion | ```python # Dataclass: internal data @dataclass(frozen=True) class Point: x: float y: float # Pydantic: external data with validation class UserCreate(BaseModel): name: str = Field(..., min_length=1, max_length=100) email: EmailStr age: int = Field(..., ge=0, le=150) @field_validator("email") @classmethod def normalize_email(cls, v: str) -> str: return v.lower().strip() ``` **See references/dataclasses-pydantic.md for** advanced features, nested models, settings, JSON schema. ## Anti-patterns Quick Reference | Anti-pattern | Fix | |-------------|-----| | Mutable default `def f(x=[])` | `def f(x=None)` then `x = x or []` | | Bare `except:` | `except SpecificError as e:` | | `== None` / `== True` | `is None` / `is True` | | Modify list while iterating | List comprehension filter | | `f = open()` without `with` | `with open() as f:` | | String concat in loop `+=` | `"".join(...)` | | Manual index counter | `enumerate()` | | `type(x) == list` | `isinstance(x, list)` | | `print()` debugging | `logging.getLogger(__name__)` | | Star imports `from x import *` | Explicit imports | ## Project Setup Checklist ```bash # 1. Initialize poetry init poetry add <dependencies> poetry add --group dev pytest pytest-cov ruff mypy pre-commit # 2. Configure pyproject.toml # [tool.ruff], [tool.mypy], [tool.pytest.ini_options] # 3. Install hooks pre-commit install # 4. Full quality check ruff check --fix . && ruff format . && mypy . && pytest --cov=myapp --cov-fail-under=80 ``` ## Commands ```bash ruff format . && ruff check --fix . # Format + lint mypy . # Type check pytest --cov=myapp --cov-report=term-missing --cov-fail-under=80 # Test + coverage ``` ## Reference Files - **references/type-hints-advanced.md** - Generics, Protocols, TypeVars, overloads, TypedDict - **references/async-patterns.md** - Task management, queues, synchronization, performance - **references/testing-pytest.md** - Fixtures, parametrize, mocking, markers, plugins - **references/tooling-config.md** - ruff, mypy, poetry, pre-commit, bandit configs - **references/dataclasses-pydantic.md** - Data modeling, validation, serialization, settings
Ver en GitHub