About python
A Python development skill for writing, refactoring, reviewing, and optimizing Python code. It covers idiomatic style, modern language features, project structure, tooling, error handling, and pytest patterns.
Key features
- 01PEP 8 style and type hints
- 02Modern Python idioms
- 03Error handling guidance
- 04Project structure and tooling setup
- 05pytest testing patterns
Use cases
- 01Writing new Python code
- 02Refactoring a Python project
- 03Reviewing Python code
- 04Profiling and improving performance
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ htlin222/ dotfiles --skill pythonAfter installing, type/pythonin Claude Code to confirm it loaded.
Details
From the project READMEPython Development
Write clean, performant, idiomatic Python code.
When to Use
- Writing Python code
- Refactoring Python projects
- Performance optimization
- Setting up Python tooling
- Code review for Python
Python Best Practices
Code Style
- Follow PEP 8
- Use type hints (Python 3.9+)
- Prefer f-strings over .format()
- Use pathlib over os.path
Modern Features
# Type hints
def process(data: list[dict]) -> dict[str, int]:
...
# Dataclasses
from dataclasses import dataclass
@dataclass
class User:
name: str
email: str
active: bool = True
# Context managers
from contextlib import contextmanager
@contextmanager
def timer():
start = time.time()
yield
print(f"Elapsed: {time.time() - start:.2f}s")
# Generators for memory efficiency
def read_large_file(path):
with open(path) as f:
yield from f
Error Handling
# Custom exceptions
class ValidationError(Exception):
def __init__(self, field: str, message: str):
self.field = field
self.message = message
super().__init__(f"{field}: {message}")
# Proper exception chaining
try:
process()
except ValueError as e:
raise ProcessingError("Failed to process") from e
Project Structure
project/
├── src/
│ └── package/
│ ├── __init__.py
│ └── module.py
├── tests/
│ └── test_module.py
├── pyproject.toml
└── README.md
Tooling Setup
# pyproject.toml
[tool.ruff]
line-length = 88
select = ["E", "F", "I", "UP"]
[tool.mypy]
strict = true
[tool.pytest.ini_options]
testpaths = ["tests"]
Testing Pattern
import pytest
@pytest.fixture
def sample_data():
return {"key": "value"}
def test_process(sample_data):
result = process(sample_data)
assert result["status"] == "success"
Examples
Input: "Refactor this Python code" Action: Apply PEP 8, add type hints, simplify logic, improve error handling
Input: "Make this faster" Action: Profile, identify bottlenecks, use generators/caching, verify improvement
Comments
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