Python 3.12+ development with FastAPI, Django, async patterns, and production tooling.
Works with
Covers modern project structure, type hints with generics, and async/await patterns for I/O-bound operations
Includes FastAPI patterns for building APIs with dependency injection, Pydantic models, and async request handlers
Demonstrates testing strategies using pytest, async test fixtures, and mocking for async functions
Recommends ruff for linting, mypy in strict mode, and pathlib for file oper
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpython-developmentExecute the skills CLI command in your project's root directory to begin installation:
Fetches python-development from skillcreatorai/ai-agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate python-development. Access via /python-development in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
7
total installs
7
this week
990
GitHub stars
0
upvotes
Run in your terminal
7
installs
7
this week
990
stars
my-project/
├── src/
│ └── my_project/
│ ├── __init__.py
│ ├── main.py
│ └── utils.py
├── tests/
│ ├── __init__.py
│ └── test_main.py
├── pyproject.toml
├── README.md
└── .gitignore
[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
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: ...
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
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)
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)
ruff for linting and formattingmypy with strict modepathlib.Path over os.pathasyncio for I/O-bound operationscontextlib.asynccontextmanager for async resourcesPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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We added python-development from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
python-development reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend python-development for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
python-development fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend python-development for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: python-development is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for python-development matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: python-development is the kind of skill you can hand to a new teammate without a long onboarding doc.
python-development is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: python-development is focused, and the summary matches what you get after install.
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