
pytest-advanced
Advanced pytest: fixtures, markers, parametrization, parallel execution. Use when implementing test infrastructure, writing fixtures, or running with coverage.
- Installs
- 352
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/laurigates/claude-plugins --skill pytest-advanced- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads pytest-advanced automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Advanced Pytest Patterns
Advanced pytest features for robust, maintainable test suites.
When to Use This Skill
| Use this skill when... | Use python-testing instead when... |
|---|---|
| Writing fixtures with scopes/factories | Basic test structure questions |
| Parametrizing with complex data | Simple assert patterns |
| Setting up pytest plugins (cov, xdist) | Running existing tests |
| Organizing conftest.py hierarchy | Test discovery basics |
| Async testing with pytest-asyncio | Synchronous unit tests |
Installation
# Core + common plugins
uv add --dev pytest pytest-cov pytest-asyncio pytest-xdist pytest-mock
Configuration (pyproject.toml)
[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = [
"-v",
"--strict-markers",
"--tb=short",
"-ra",
"--cov=src",
"--cov-report=term-missing",
"--cov-fail-under=80",
]
markers = [
"slow: marks tests as slow (deselect with '-m \"not slow\"')",
"integration: marks tests as integration tests",
]
asyncio_mode = "auto"
[tool.coverage.run]
branch = true
source = ["src"]
[tool.coverage.report]
exclude_lines = ["pragma: no cover", "if TYPE_CHECKING:", "@abstractmethod"]
Fixtures
Scopes and Lifecycle
import pytest
from typing import Generator
# function (default) - fresh per test
@pytest.fixture
def db() -> Generator[Database, None, None]:
database = Database(":memory:")
database.create_tables()
yield database
database.close()
# session - shared across all tests
@pytest.fixture(scope="session")
def app():
return create_app("testing")
# autouse - applies automatically
@pytest.fixture(autouse=True)
def reset_state():
clear_cache()
yield
| Scope | Lifetime |
|---|---|
function | Each test (default) |
class | Each test class |
module | Each test file |
session | Entire test run |
Parametrized Fixtures
@pytest.fixture(params=["sqlite", "postgres", "mysql"])
def database_backend(request) -> str:
return request.param # Test runs 3 times
# Indirect parametrization
@pytest.fixture
def user(request) -> User:
return User(**request.param)
@pytest.mark.parametrize("user", [
{"name": "Alice", "age": 30},
{"name": "Bob", "age": 25},
], indirect=True)
def test_user_validation(user: User):
assert user.name
Factory Pattern
@pytest.fixture
def user_factory() -> Callable[[str], User]:
created: list[User] = []
def _create(name: str, **kwargs) -> User:
user = User(name=name, **kwargs)
created.append(user)
return user
yield _create
for u in created:
u.delete()
Markers
# Built-in markers
@pytest.mark.skip(reason="Not implemented")
@pytest.mark.skipif(sys.version_info < (3, 12), reason="Requires 3.12+")
@pytest.mark.xfail(reason="Known bug #123")
@pytest.mark.timeout(10)
# Parametrize
@pytest.mark.parametrize("input,expected", [
pytest.param(2, 4, id="two"),
pytest.param(3, 9, id="three"),
pytest.param(-2, 4, id="negative"),
])
def test_square(input: int, expected: int):
assert input ** 2 == expected
# Run by marker
pytest -m unit # Only unit tests
pytest -m "not slow" # Skip slow tests
pytest -m "integration and not slow" # Combine markers
Key Plugins
| Plugin | Purpose | Key Command |
|---|---|---|
| pytest-cov | Coverage | pytest --cov=src --cov-report=term-missing |
| pytest-xdist | Parallel | pytest -n auto |
| pytest-asyncio | Async tests | asyncio_mode = "auto" in config |
| pytest-mock | Mocking | mocker fixture |
| pytest-timeout | Timeouts | @pytest.mark.timeout(10) |
Async Testing (pytest-asyncio)
@pytest.mark.asyncio
async def test_async_function():
result = await fetch_data()
assert result is not None
@pytest.fixture
async def async_client() -> AsyncGenerator[AsyncClient, None]:
async with AsyncClient() as client:
yield client
Mocking (pytest-mock)
def test_with_mock(mocker):
mock_api = mocker.patch("myapp.external.api_call")
mock_api.return_value = {"data": "test"}
result = my_function()
assert result["data"] == "test"
mock_api.assert_called_once()
Running Tests
# Execution
pytest # All tests
pytest tests/test_models.py::test_user # Specific test
pytest -k "user and not slow" # Pattern matching
# Parallel
pytest -n auto # All CPUs
pytest -n 4 # 4 workers
# Coverage
pytest --cov=src --cov-report=html --cov-report=term-missing
# Failed tests
pytest --lf # Last failed only
pytest --ff # Failed first
pytest -x # Stop on first failure
pytest --maxfail=3 # Stop after 3
# Debugging
pytest -x --pdb # Debug on failure
pytest -s # Show print output
pytest --collect-only # Dry run
CI Integration
# .github/workflows/test.yml
- name: Run tests
run: |
uv run pytest \
--cov=src \
--cov-report=xml \
--cov-report=term-missing \
--junitxml=test-results.xml
Agentic Optimizations
| Context | Command |
|---|---|
| Quick check | pytest -x --tb=short -q |
| Fail fast | pytest -x --maxfail=1 --tb=short |
| Parallel fast | pytest -n auto -x --tb=short -q |
| Specific test | pytest tests/test_foo.py::test_bar -v |
| By marker | pytest -m "not slow" -x --tb=short |
| Coverage check | pytest --cov=src --cov-fail-under=80 -q |
| CI mode | pytest --junitxml=results.xml --cov-report=xml -q |
| Last failed | pytest --lf --tb=short |
| Debug | pytest -x --pdb -s |
For detailed patterns on conftest.py hierarchy, async testing, test organization, and common patterns, see REFERENCE.md.
FAQ
What does the pytest-advanced skill do?
Advanced pytest: fixtures, markers, parametrization, parallel execution. Use when implementing test infrastructure, writing fixtures, or running with coverage.
How do I install pytest-advanced?
Run npx skills add https://github.com/laurigates/claude-plugins --skill pytest-advanced in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/pytest-advanced/ (personal) or .claude/skills/pytest-advanced/ (project).
Which AI agents can use pytest-advanced?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is pytest-advanced safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains pytest-advanced?
It is published by laurigates in laurigates/claude-plugins. It has 352 recorded installs.
More from laurigates/claude-plugins
python-code-quality
laurigates/claude-plugins
Python code quality with ruff and ty. Use when the user mentions ruff, ty, linting, formatting, type checking, or Python code style.
python-testing
laurigates/claude-plugins
Python testing with pytest, coverage, fixtures, and mocking. Use when the user mentions pytest, unit tests, coverage, fixtures, mocking, or writing Python tests.
basedpyright-type-checking
laurigates/claude-plugins
Open the skill to read its SKILL.md instructions.
uv-project-management
laurigates/claude-plugins
Open the skill to read its SKILL.md instructions.
Popular testing & qa skills
tdd
mattpocock/skills
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
grilling
mattpocock/skills
Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.
migrate-to-shoehorn
mattpocock/skills
Migrate test files from as type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace as in tests, or needs partial test data.
run-train
lllllllama/rigorpilot-skills
Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config, seed, log, checkpoint, status, and metric evidence written to standardized trainoutputs/. Do not use for environment setup, exploratory sweeps, speculative idea implementation, or end-to-end orchestration.
test-driven-development
obra/superpowers
Use when implementing any feature or bugfix, before writing implementation code
finishing-a-development-branch
obra/superpowers
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work