agentsclimarketplace

Python development

Skill ComeOnOliver/skillshub/skills/MoizIbnYousaf/Ai-Agent-Skills/python-development

🧠 The right skill, one API call. AI agent skills registry with token-efficient skill resolution. 5,000+ skills from 500+ top repos.From the repository description

Install
npx -y skills add ComeOnOliver/skillshub --skill python-development

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

2.6 KB, 739 tokens by cl100k_base, as published. Nobody here has run it

Python Development

Project Setup

Modern Python Project Structure

my-project/
β”œβ”€β”€ src/
β”‚   └── my_project/
β”‚       β”œβ”€β”€ __init__.py
β”‚       β”œβ”€β”€ main.py
β”‚       └── utils.py
β”œβ”€β”€ tests/
β”‚   β”œβ”€β”€ __init__.py
β”‚   └── test_main.py
β”œβ”€β”€ pyproject.toml
β”œβ”€β”€ README.md
└── .gitignore

pyproject.toml

[project]
name = "my-project"
version = "0.1.0"
requires-python = ">=3.12"
dependencies = [
    "fastapi>=0.100.0",
    "pydantic>=2.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0",
    "ruff>=0.1.0",
    "mypy>=1.0",
]

[tool.ruff]
line-length = 88
select = ["E", "F", "I", "N", "W"]

[tool.mypy]
strict = true

Type Hints

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

T = TypeVar('T')

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

class Repository(Generic[T]):
    def get(self, id: int) -> T | None: ...
    def save(self, item: T) -> T: ...

Async Patterns

import asyncio
from collections.abc import AsyncIterator

async def fetch_all(urls: list[str]) -> list[dict]:
    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_file.txt', 'rb') as f:
        async for chunk in f:
            yield chunk

FastAPI Patterns

from fastapi import FastAPI, Depends, HTTPException
from pydantic import BaseModel

app = FastAPI()

class UserCreate(BaseModel):
    email: str
    name: str

class UserResponse(BaseModel):
    id: int
    email: str
    name: str

@app.post("/users", response_model=UserResponse)
async def create_user(
    user: UserCreate,
    db: Database = Depends(get_db)
) -> UserResponse:
    result = await db.users.create(user.model_dump())
    return UserResponse(**result)

Testing

import pytest
from unittest.mock import AsyncMock, patch

@pytest.fixture
def mock_db():
    db = AsyncMock()
    db.users.get.return_value = {"id": 1, "name": "Test"}
    return db

@pytest.mark.asyncio
async def test_get_user(mock_db):
    result = await get_user(1, db=mock_db)
    assert result["name"] == "Test"
    mock_db.users.get.assert_called_once_with(1)

Best Practices

  • Use ruff for linting and formatting
  • Use mypy with strict mode
  • Prefer pathlib.Path over os.path
  • Use dataclasses or Pydantic for data structures
  • Use asyncio for I/O-bound operations
  • Use contextlib.asynccontextmanager for async resources

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.