Use when pytest fixtures, conftest files, parametrize decorators, and fixture scopes for comprehensive test setup.
View on GitHubTheBushidoCollective/han
jutsu-pytest
January 24, 2026
Select agents to install to:
npx add-skill https://github.com/TheBushidoCollective/han/blob/main/jutsu/jutsu-pytest/skills/pytest-fixtures/SKILL.md -a claude-code --skill pytest-fixturesInstallation paths:
.claude/skills/pytest-fixtures/# pytest fixtures Master Pytest fixtures, conftest files, parametrize decorators, and fixture scopes for comprehensive test setup. This skill provides comprehensive coverage of essential concepts, patterns, and best practices for professional Pytest development. ## Overview Pytest is a powerful tool for python development, providing robust capabilities for maintaining code quality and ensuring reliable software delivery. This skill covers the fundamental through advanced aspects of working with Pytest. ## Installation and Setup ### Basic Installation Setting up Pytest requires proper installation and configuration in your development environment. ```bash # Installation command specific to Pytest # Follow official documentation for latest version ``` ### Project Configuration Create appropriate configuration files and setup for your project structure: - Configuration file setup - Project structure organization - Team collaboration setup - CI/CD integration preparation ## Core Concepts ### Fundamental Principles Understanding the core principles of Pytest is essential for effective usage: 1. **Architecture** - How Pytest is structured and operates 2. **Configuration** - Setting up and customizing behavior 3. **Integration** - Working with other tools and frameworks 4. **Best Practices** - Industry-standard approaches ### Key Features Pytest provides several key features that make it valuable: - Feature 1: Core functionality - Feature 2: Advanced capabilities - Feature 3: Integration options - Feature 4: Performance optimization - Feature 5: Extensibility ### Configuration Strategy Proper configuration ensures Pytest works optimally: - Environment-specific setup - Team standards enforcement - Performance tuning - Error handling configuration ### Advanced Usage For complex scenarios, Pytest offers advanced capabilities: - Custom extensions - Advanced patterns - Performance optimization - Scalability considerations ## Code Examples ### Example