pytest Testing

Expert pytest framework for Python unit, integration, and functional testing

509 stars

Best use case

pytest Testing is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Expert pytest framework for Python unit, integration, and functional testing

Teams using pytest Testing 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

$curl -o ~/.claude/skills/pytest-testing/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/qa-testing-automation/skills/pytest-testing/SKILL.md"

Manual Installation

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

How pytest Testing Compares

Feature / Agentpytest TestingStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Expert pytest framework for Python unit, integration, and functional testing

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 Skill

## Overview

This skill provides expert-level capabilities for pytest-based testing, enabling comprehensive Python testing with fixtures, parametrization, and plugin integration.

## Capabilities

### Test Execution
- Configure pytest with fixtures and markers
- Execute tests with coverage collection
- Parallel execution with pytest-xdist
- Selective test running with markers and keywords

### Fixture Management
- Design reusable fixtures
- Configure fixture scopes (function, class, module, session)
- Implement fixture factories

### Parametrization
- Generate parametrized test cases
- Data-driven testing patterns
- Combine multiple parameter sets

### Plugin Integration
- Configure pytest plugins
- Coverage integration with pytest-cov
- HTML and JUnit XML report generation
- Custom plugin development

### Framework Integration
- Django test client integration
- Flask testing patterns
- FastAPI test client usage

## Target Processes

- `automation-framework.js` - Test framework setup
- `api-testing.js` - API test implementation
- `continuous-testing.js` - CI/CD integration
- `shift-left-testing.js` - Early testing integration

## Dependencies

- `pytest` - Test framework
- `pytest-cov` - Coverage plugin
- `pytest-xdist` - Parallel execution
- `pytest-html` - HTML reports

## Usage Example

```javascript
{
  kind: 'skill',
  skill: {
    name: 'pytest-testing',
    context: {
      action: 'execute-tests',
      testPath: 'tests/',
      markers: ['unit', 'integration'],
      coverage: true,
      parallel: 4
    }
  }
}
```

## Configuration

The skill respects `pytest.ini`, `pyproject.toml`, or `setup.cfg` configuration and can override settings as needed.

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