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.
Best use case
tdd-pytest is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using tdd-pytest should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/tdd-pytest/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How tdd-pytest Compares
| Feature / Agent | tdd-pytest | 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/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.
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
# 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.mdRelated Skills
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