python-testing-patterns
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
Click Get this skill. Grab the .md file, one click, no account needed.
Add it to Claude. Drop it into ~/.claude/skills/. Claude picks it up the next time you open a session.
Ask normally. Type your question. The skill triggers on the right keywords — you don't have to remember anything.
Generate unit tests for any function or class
Analyze test coverage gaps and suggest tests to write
Generate mocks, stubs, and fakes for dependencies
Create snapshot tests for UI components
Write end-to-end tests using Playwright or Cypress
Create test data factories and fixtures
Comprehensive guide to implementing robust testing strategies in Python using pytest, fixtures, mocking, parameterization, and test-driven development practices. ## Use this skill when - Writing unit tests for Python code - Setting up test suites and test infrastructure - Implementing test-driven development (TDD) - Creating integration tests for APIs and services - Mocking external dependencies and services - Testing async code and concurrent operations - Setting up continuous testing in CI/CD - Implementing property-based testing - Testing database operations - Debugging failing tests ## Do not use this skill when - The task is unrelated to python testing patterns - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. ## Resources - `resources/implementation-playbook.md` for detailed patterns and examples.