pytest-mastery
Python testing with pytest using uv package manager. Use when: (1) Running Python tests, (2) Writing test files or test functions, (3) Setting up fixtures, (4) Parametrizing tests, (5) Generating coverage reports, (6) Testing FastAPI applications, (7) Debugging test failures, (8) Configuring pytest options. Triggers: "run tests", "write tests", "test coverage", "pytest", "unit test", "integration test", "test FastAPI".
Best use case
pytest-mastery is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Python testing with pytest using uv package manager. Use when: (1) Running Python tests, (2) Writing test files or test functions, (3) Setting up fixtures, (4) Parametrizing tests, (5) Generating coverage reports, (6) Testing FastAPI applications, (7) Debugging test failures, (8) Configuring pytest options. Triggers: "run tests", "write tests", "test coverage", "pytest", "unit test", "integration test", "test FastAPI".
Python testing with pytest using uv package manager. Use when: (1) Running Python tests, (2) Writing test files or test functions, (3) Setting up fixtures, (4) Parametrizing tests, (5) Generating coverage reports, (6) Testing FastAPI applications, (7) Debugging test failures, (8) Configuring pytest options. Triggers: "run tests", "write tests", "test coverage", "pytest", "unit test", "integration test", "test FastAPI".
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "pytest-mastery" skill to help with this workflow task. Context: Python testing with pytest using uv package manager. Use when: (1) Running Python tests, (2) Writing test files or test functions, (3) Setting up fixtures, (4) Parametrizing tests, (5) Generating coverage reports, (6) Testing FastAPI applications, (7) Debugging test failures, (8) Configuring pytest options. Triggers: "run tests", "write tests", "test coverage", "pytest", "unit test", "integration test", "test FastAPI".
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/pytest-mastery/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How pytest-mastery Compares
| Feature / Agent | pytest-mastery | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Python testing with pytest using uv package manager. Use when: (1) Running Python tests, (2) Writing test files or test functions, (3) Setting up fixtures, (4) Parametrizing tests, (5) Generating coverage reports, (6) Testing FastAPI applications, (7) Debugging test failures, (8) Configuring pytest options. Triggers: "run tests", "write tests", "test coverage", "pytest", "unit test", "integration test", "test FastAPI".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# pytest Testing with uv
## Quick Reference
```bash
# Run all tests
uv run pytest
# Run with verbose output
uv run pytest -v
# Run specific file
uv run pytest tests/test_example.py
# Run specific test function
uv run pytest tests/test_example.py::test_function_name
# Run tests matching pattern
uv run pytest -k "pattern"
# Run with coverage
uv run pytest --cov=src --cov-report=html
```
## Installation
```bash
# Add pytest as dev dependency
uv add --dev pytest
# Add coverage support
uv add --dev pytest-cov
# Add async support (for FastAPI)
uv add --dev pytest-asyncio httpx
```
## Test Discovery
pytest automatically discovers tests following these conventions:
- Files: `test_*.py` or `*_test.py`
- Functions: `test_*`
- Classes: `Test*` (no `__init__` method)
- Methods: `test_*` inside `Test*` classes
Standard project structure:
```
project/
├── src/
│ └── myapp/
├── tests/
│ ├── __init__.py
│ ├── conftest.py # Shared fixtures
│ ├── test_unit.py
│ └── integration/
│ └── test_api.py
└── pyproject.toml
```
## Fixtures
Fixtures provide reusable test setup/teardown:
```python
import pytest
@pytest.fixture
def sample_user():
return {"id": 1, "name": "Test User"}
@pytest.fixture
def db_connection():
conn = create_connection()
yield conn # Test runs here
conn.close() # Teardown
def test_user_name(sample_user):
assert sample_user["name"] == "Test User"
```
### Fixture Scopes
```python
@pytest.fixture(scope="function") # Default: new instance per test
@pytest.fixture(scope="class") # Once per test class
@pytest.fixture(scope="module") # Once per module
@pytest.fixture(scope="session") # Once per test session
```
### Shared Fixtures (conftest.py)
Place in `tests/conftest.py` for automatic availability:
```python
# tests/conftest.py
import pytest
@pytest.fixture
def api_client():
return TestClient(app)
```
## Parametrization
Run same test with multiple inputs:
```python
import pytest
@pytest.mark.parametrize("input,expected", [
(1, 2),
(2, 4),
(3, 6),
])
def test_double(input, expected):
assert input * 2 == expected
@pytest.mark.parametrize("value", [None, "", [], {}])
def test_falsy_values(value):
assert not value
```
## Common Options
| Option | Description |
|--------|-------------|
| `-v` | Verbose output |
| `-vv` | More verbose |
| `-q` | Quiet mode |
| `-x` | Stop on first failure |
| `--lf` | Run last failed tests only |
| `--ff` | Run failures first |
| `-k "expr"` | Filter by name expression |
| `-m "mark"` | Run marked tests only |
| `--tb=short` | Shorter traceback |
| `--tb=no` | No traceback |
| `-s` | Show print statements |
| `--durations=10` | Show 10 slowest tests |
| `-n auto` | Parallel execution (pytest-xdist) |
## Coverage Reports
```bash
# Terminal report
uv run pytest --cov=src
# HTML report (creates htmlcov/)
uv run pytest --cov=src --cov-report=html
# With minimum threshold (fails if below)
uv run pytest --cov=src --cov-fail-under=80
# Multiple report formats
uv run pytest --cov=src --cov-report=term --cov-report=xml
```
## Markers
```python
import pytest
@pytest.mark.slow
def test_slow_operation():
...
@pytest.mark.skip(reason="Not implemented")
def test_future_feature():
...
@pytest.mark.skipif(condition, reason="...")
def test_conditional():
...
@pytest.mark.xfail(reason="Known bug")
def test_known_failure():
...
```
Run by marker:
```bash
uv run pytest -m "not slow"
uv run pytest -m "integration"
```
## pyproject.toml Configuration
```toml
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
python_functions = ["test_*"]
addopts = "-v --tb=short"
markers = [
"slow: marks tests as slow",
"integration: integration tests",
]
[tool.coverage.run]
source = ["src"]
omit = ["tests/*", "*/__init__.py"]
[tool.coverage.report]
exclude_lines = [
"pragma: no cover",
"if TYPE_CHECKING:",
]
```
## FastAPI Testing
See [references/fastapi-testing.md](references/fastapi-testing.md) for comprehensive FastAPI testing patterns including:
- TestClient setup
- Async testing with httpx
- Database fixture patterns
- Dependency overrides
- Authentication testing
## Debugging Failed Tests
```bash
# Run with full traceback
uv run pytest --tb=long
# Drop into debugger on failure
uv run pytest --pdb
# Show local variables in traceback
uv run pytest -l
# Run only previously failed
uv run pytest --lf
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