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tdd-pytest

Python/pytest TDD specialist for test-driven development workflows. Use when writing tests, auditing test quality, running pytest, or generating test reports. Integrates with uv and pyproject.toml configuration.

231 stars

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/tdd-pytest/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/89jobrien/tdd-pytest/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/tdd-pytest/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How tdd-pytest Compares

Feature / Agenttdd-pytestStandard Approach
Platform SupportmultiLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Python/pytest TDD specialist for test-driven development workflows. Use when writing tests, auditing test quality, running pytest, or generating test reports. Integrates with uv and pyproject.toml configuration.

Which AI agents support this skill?

This skill is compatible with multi.

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.

SKILL.md Source

# TDD-Pytest Skill

Activate this skill when the user needs help with:

- Writing tests using TDD methodology (Red-Green-Refactor)
- Auditing existing pytest test files for quality
- Running tests with coverage
- Generating test reports to `TESTING_REPORT.local.md`
- Setting up pytest configuration in `pyproject.toml`

## TDD Workflow

### Red-Green-Refactor Cycle

1. **RED** - Write a failing test first
   - Test should fail for the right reason (not import errors)
   - Test should be minimal and focused
   - Show the failing test output

2. **GREEN** - Write minimal code to pass
   - Only implement what's needed to pass the test
   - No premature optimization
   - Show the passing test output

3. **REFACTOR** - Improve code while keeping tests green
   - Clean up duplication
   - Improve naming
   - Extract functions/classes if needed
   - Run tests after each change

## Test Organization

### File Structure

```text
project/
  src/
    module.py
  tests/
    conftest.py          # Shared fixtures
    test_module.py       # Tests for module.py
  pyproject.toml         # Pytest configuration
```

### Naming Conventions

- Test files: `test_*.py` or `*_test.py`
- Test functions: `test_*`
- Test classes: `Test*`
- Fixtures: Descriptive names (`mock_database`, `sample_user`)

## Pytest Best Practices

### Fixtures

```python
import pytest

@pytest.fixture
def sample_config():
    return {"key": "value"}

@pytest.fixture
def mock_client(mocker):
    return mocker.MagicMock()
```

### Parametrization

```python
@pytest.mark.parametrize("input,expected", [
    ("hello", "HELLO"),
    ("world", "WORLD"),
    ("", ""),
])
def test_uppercase(input, expected):
    assert input.upper() == expected
```

### Async Tests

```python
import pytest

@pytest.mark.asyncio
async def test_async_function():
    result = await async_operation()
    assert result == expected
```

### Exception Testing

```python
def test_raises_value_error():
    with pytest.raises(ValueError, match="invalid input"):
        process_input(None)
```

## Running Tests

### With uv

```bash
uv run pytest                              # Run all tests
uv run pytest tests/test_module.py         # Run specific file
uv run pytest -k "test_name"               # Run by name pattern
uv run pytest -v --tb=short                # Verbose with short traceback
uv run pytest --cov=src --cov-report=term  # With coverage
```

### Common Flags

- `-v` / `--verbose` - Detailed output
- `-x` / `--exitfirst` - Stop on first failure
- `--tb=short` - Short tracebacks
- `--tb=no` - No tracebacks
- `-k EXPR` - Run tests matching expression
- `-m MARKER` - Run tests with marker
- `--cov=PATH` - Coverage for path
- `--cov-report=term-missing` - Show missing lines

## pyproject.toml Configuration

### Minimal Setup

```toml
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]
```

### Full Configuration

```toml
[tool.pytest.ini_options]
asyncio_mode = "auto"
asyncio_default_fixture_loop_scope = "function"
testpaths = ["tests"]
python_files = ["test_*.py", "*_test.py"]
python_functions = ["test_*"]
python_classes = ["Test*"]
addopts = "-v --tb=short"
markers = [
    "slow: marks tests as slow",
    "integration: marks integration tests",
]
filterwarnings = [
    "ignore::DeprecationWarning",
]

[tool.coverage.run]
source = ["src"]
branch = true
omit = ["tests/*", "*/__init__.py"]

[tool.coverage.report]
exclude_lines = [
    "pragma: no cover",
    "if TYPE_CHECKING:",
    "raise NotImplementedError",
]
fail_under = 80
show_missing = true
```

## Report Generation

The `TESTING_REPORT.local.md` file should contain:

1. Test execution summary (passed/failed/skipped)
2. Coverage metrics by module
3. Audit findings by severity
4. Recommendations with file:line references
5. Evidence (command outputs)

## Integration with Conversation

When the user asks to write tests:

1. Check conversation history for context about what to test
2. Identify the code/feature being discussed
3. If unclear, ask clarifying questions:
   - "What specific behavior should I test?"
   - "Should I include edge cases for X?"
   - "Do you want unit tests, integration tests, or both?"
4. Follow TDD: Write failing test first, then implement

## Commands Available

- `/tdd-pytest:init` - Initialize pytest configuration
- `/tdd-pytest:test [path]` - Write tests using TDD (context-aware)
- `/tdd-pytest:test-all` - Run all tests
- `/tdd-pytest:report` - Generate/update TESTING_REPORT.local.md