Python Testing Patterns
Helps with Python, testing, patterns as part of developing backend services and APIs workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add hermeticormus-python-testing-patterns npx -- -y @trustedskills/hermeticormus-python-testing-patterns
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"hermeticormus-python-testing-patterns": {
"command": "npx",
"args": [
"-y",
"@trustedskills/hermeticormus-python-testing-patterns"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides guidance and code examples for implementing robust testing patterns in Python. It helps generate test suites using techniques like mocking, patching, and property-based testing to ensure code reliability and maintainability. The skill aims to improve the quality of Python projects by promoting best practices in automated testing.
When to use it
- You're starting a new Python project and want to establish good testing habits from the beginning.
- An existing Python codebase has limited or ineffective tests, and you need help improving test coverage.
- You are refactoring code and need to ensure that changes don’t introduce regressions.
- You're struggling with mocking dependencies in your Python tests.
Key capabilities
- Mocking external resources
- Patching functions and classes for testing
- Property-based testing techniques
- Generating test suites based on code structure
Example prompts
- "Generate a mock object for the
requestslibrary to test my API integration." - "Show me how to patch the
os.getcwd()function in my unit tests." - “Create property-based tests for this Python function: [function definition]”
Tips & gotchas
This skill assumes a basic understanding of Python and testing concepts. Complex mocking scenarios may require more detailed instructions or adjustments based on specific project dependencies.
Tags
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