Python Development

SkillDev tools

Write Python code following best practices. Use when developing Python applications. Covers type hints, async, and modern tooling.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Python Development skill

What this skill tells your AI

The instructions your AI receives, as published by nguyenhuuca/assessment in .claude/skills/languages/python/SKILL.md and read by ahel’s review.

Project Setup

# Create project with uv
uv init my-project
cd my-project

# Add dependencies
uv add litestar
uv add --dev pytest ruff mypy

pyproject.toml

[project]
name = "my-project"
version = "0.1.0"
requires-python = ">=3.13"
dependencies = ["litestar>=2.0"]

[tool.ruff]
line-length = 88
target-version = "py313"

[tool.mypy]
strict = true
python_version = "3.13"

Type Hints

from typing import TypeVar, Generic
from collections.abc import Sequence

T = TypeVar('T')

class Repository(Generic[T]):
    async def find_by_id(self, id: str) -> T | None:
        ...

    async def save(self, entity: T) -> T:
        ...

def process_items(items: Sequence[str]) -> list[str]:
    return [item.upper() for item in items]

Async Patterns

import asyncio
from collections.abc import AsyncIterator

async def fetch_all(urls: list[str]) -> list[Response]:
    async with aiohttp.ClientSession() as session:
        tasks = [fetch_one(session, url) for url in urls]
        return await asyncio.gather(*tasks)

async def stream_data() -> AsyncIterator[bytes]:
    async with aiofiles.open('large.csv', 'rb') as f:
        async for chunk in f:
            yield chunk

Error Handling

from dataclasses import dataclass
from typing import TypeVar, Generic

T = TypeVar('T')
E = TypeVar('E')

@dataclass
class Ok(Generic[T]):
    value: T

@dataclass
class Err(Generic[E]):
    error: E

Result = Ok[T] | Err[E]

def divide(a: int, b: int) -> Result[float, str]:
    if b == 0:
        return Err("Division by zero")
    return Ok(a / b)

Testing with pytest

import pytest
from unittest.mock import AsyncMock

@pytest.mark.asyncio
async def test_create_user():
    repo = AsyncMock()
    service = UserService(repo)

    user = await service.create("test@example.com")

    assert user.email == "test@example.com"
    repo.save.assert_called_once()

@pytest.fixture
def mock_database():
    with patch('app.database') as mock:
        yield mock

Tooling

# Ruff (linting + formatting)
ruff check --fix .
ruff format .

# MyPy (type checking)
mypy --strict .

# pytest
pytest -v --cov=src

Signals

GitHub stars
34
Forks
25
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
python-nguyenhuuca
Source
github.com/nguyenhuuca/assessment