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python-testing

@athola/claude-night-market
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Python testing with pytest, fixtures, mocking, and TDD workflows. Use when writing unit tests, setting up test suites, or implementing test-driven development.

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SKILL.md

name python-testing
description Python testing with pytest, fixtures, mocking, and TDD workflows. Use when writing unit tests, setting up test suites, or implementing test-driven development.
category testing
tags python, testing, pytest, tdd, test-automation, quality-assurance
tools test-analyzer, coverage-reporter, test-runner
usage_patterns testing-implementation, test-suite-setup, test-refactoring, ci-cd-integration
complexity intermediate
estimated_tokens 900
progressive_loading true
modules unit-testing, fixtures-and-mocking, test-infrastructure, testing-workflows, test-quality, async-testing

Python Testing Hub

Testing patterns for pytest, fixtures, mocking, and TDD.

Quick Start

  1. Assess Testing Needs: Identify required testing patterns
  2. Configure pytest: Set up test infrastructure
  3. Implement Tests: Apply patterns from modules
  4. Run Coverage: Verify test quality

When to Use

  • Writing unit tests for Python code
  • Setting up test suites and infrastructure
  • Implementing test-driven development (TDD)
  • Creating integration tests for APIs and services
  • Mocking external dependencies and services
  • Testing async code and concurrent operations

Modules

This skill provides focused modules for different testing aspects:

Core Testing

  • unit-testing - Fundamental unit testing patterns with pytest including AAA pattern, basic test structure, and exception testing
  • fixtures-and-mocking - Advanced pytest fixtures, parameterized tests, and mocking patterns for external dependencies
  • async-testing - Testing asynchronous Python code with pytest-asyncio including async fixtures and concurrent operation testing

Infrastructure & Workflow

  • test-infrastructure - Project configuration for pytest including pyproject.toml setup, test directory structure, and coverage configuration
  • testing-workflows - Running tests, CI/CD integration, and automated testing workflows

Quality

  • test-quality - Best practices, anti-patterns to avoid, and quality criteria for Python tests

Progressive Loading

Load modules based on your needs:

  • Start with unit-testing for fundamental patterns
  • Add fixtures-and-mocking for advanced test setup
  • Include test-infrastructure when setting up new projects
  • Use testing-workflows for CI/CD integration
  • Reference test-quality for best practices
  • Apply async-testing for asynchronous code

Exit Criteria

  • Tests follow AAA pattern
  • Coverage meets project threshold (≥80%)
  • All tests independent and reproducible
  • CI/CD integration configured
  • Clear test naming and organization
  • No anti-patterns present
  • Fixtures used appropriately
  • Mocking only at boundaries