home / skills / alinaqi / claude-bootstrap / python
This skill helps you bootstrap Python projects with strict typing, testing, and clean architecture guided by ruff, mypy, and pytest.
npx playbooks add skill alinaqi/claude-bootstrap --skill pythonReview the files below or copy the command above to add this skill to your agents.
---
name: python
description: Python development with ruff, mypy, pytest - TDD and type safety
---
# Python Skill
*Load with: base.md*
---
## Type Hints
- Use type hints on all function signatures
- Use `typing` module for complex types
- Run `mypy --strict` in CI
```python
def process_user(user_id: int, options: dict[str, Any] | None = None) -> User:
...
```
---
## Project Structure
```
project/
├── src/
│ └── package_name/
│ ├── __init__.py
│ ├── core/ # Pure business logic
│ │ ├── __init__.py
│ │ ├── models.py # Pydantic models / dataclasses
│ │ └── services.py # Pure functions
│ ├── infra/ # Side effects
│ │ ├── __init__.py
│ │ ├── api.py # FastAPI routes
│ │ └── db.py # Database operations
│ └── utils/ # Shared utilities
├── tests/
│ ├── unit/
│ └── integration/
├── pyproject.toml
└── CLAUDE.md
```
---
## Tooling (Required)
```toml
# pyproject.toml
[tool.ruff]
line-length = 100
select = ["E", "F", "I", "N", "W", "UP"]
[tool.mypy]
strict = true
[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "--cov=src --cov-report=term-missing --cov-fail-under=80"
```
---
## Testing with Pytest
```python
# tests/unit/test_services.py
import pytest
from package_name.core.services import calculate_total
class TestCalculateTotal:
def test_returns_sum_of_items(self):
# Arrange
items = [{"price": 10}, {"price": 20}]
# Act
result = calculate_total(items)
# Assert
assert result == 30
def test_returns_zero_for_empty_list(self):
assert calculate_total([]) == 0
def test_raises_on_invalid_item(self):
with pytest.raises(ValueError):
calculate_total([{"invalid": "item"}])
```
---
## GitHub Actions
```yaml
name: Python Quality Gate
on: [push, pull_request]
jobs:
quality:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Install dependencies
run: |
pip install -e ".[dev]"
- name: Lint (Ruff)
run: ruff check .
- name: Format Check (Ruff)
run: ruff format --check .
- name: Type Check (mypy)
run: mypy src/
- name: Test with Coverage
run: pytest
```
---
## Pre-Commit Hooks
```yaml
# .pre-commit-config.yaml
repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.8.0
hooks:
- id: ruff
args: [--fix]
- id: ruff-format
- repo: https://github.com/pre-commit/mirrors-mypy
rev: v1.13.0
hooks:
- id: mypy
additional_dependencies: [pydantic]
args: [--strict]
- repo: local
hooks:
- id: pytest
name: pytest
entry: pytest tests/unit -x --tb=short
language: system
pass_filenames: false
always_run: true
```
Install and setup:
```bash
pip install pre-commit
pre-commit install
```
---
## Patterns
### Pydantic for Data Validation
```python
from pydantic import BaseModel, Field
class CreateUserRequest(BaseModel):
email: str = Field(..., min_length=5)
name: str = Field(..., max_length=100)
```
### Dependency Injection
```python
# Don't import dependencies directly in business logic
# Pass them in
# Bad
from .db import database
def get_user(user_id: int) -> User:
return database.fetch(user_id)
# Good
def get_user(user_id: int, db: Database) -> User:
return db.fetch(user_id)
```
### Result Pattern (No Exceptions in Core)
```python
from dataclasses import dataclass
@dataclass
class Result[T]:
value: T | None
error: str | None
@property
def is_ok(self) -> bool:
return self.error is None
```
---
## Python Anti-Patterns
- ❌ `from module import *`
- ❌ Mutable default arguments
- ❌ Bare `except:` clauses
- ❌ Using `type: ignore` without explanation
- ❌ Global variables for state
- ❌ Classes when functions suffice
This skill provides an opinionated Python development setup focused on test-driven development, type safety, and secure, spec-driven projects. It wires ruff for linting/formatting, mypy for strict static typing, and pytest for automated tests and coverage. The layout and tooling are optimized for maintainable business logic, clear side-effect boundaries, and CI enforcement.
The skill inspects project structure and enforces conventions: src/ package layout with core, infra, and utils layers, plus a tests/ hierarchy. It configures pyproject.toml for ruff and mypy, sets pytest options for coverage, and provides pre-commit hooks and a GitHub Actions pipeline that runs lint, format check, type check, and tests. It emphasizes type hints, dependency injection, Pydantic for validation, and a Result pattern to avoid exceptions in core logic.
How strict should mypy be for an existing project?
Start with targeted files or directories and gradually enable stricter checks. Use incremental fixes and exclude generated or third-party code until types are introduced.
Can I use this with FastAPI or other frameworks?
Yes. Keep routes and framework code in infra/api.py and keep business rules in core/ to preserve testability and separation of concerns.