Use when pytest plugin ecosystem including pytest-cov, pytest-mock, and custom plugin development.
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-plugins/SKILL.md -a claude-code --skill pytest-pluginsInstallation paths:
.claude/skills/pytest-plugins/# pytest plugins Master Pytest plugin ecosystem including pytest-cov, pytest-mock, and custom plugin development. 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 1: Basic Setup `