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python-testing

Create pytest test suites with fixtures, parametrization, and mocking.

1|Updated Apr 7, 2026
Search Tags:#testing#tdd#pytest#coverage#fixtures#mocking
One-click install
npx skills add https://github.com/riftzen-bit/gemini-setup --skill python-testing-riftzen-bit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-testing
Source: https://github.com/riftzen-bit/gemini-setup/tree/main/skills/python-testing
Command: npx skills add https://github.com/riftzen-bit/gemini-setup --skill python-testing-riftzen-bit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a practical, structured approach to writing and organizing tests for Python projects so teams can catch regressions early, ensure behavior correctness, and maintain high code quality through repeatable test suites.

Core Features & Use Cases

  • TDD Guidance: Encourages red-green-refactor workflows to drive design and ensure requirements are met.
  • pytest Best Practices: Covers assertions, parametrization, markers, and configuration for consistent test discovery and execution.
  • Fixtures & Mocking: Shows fixture scopes, autouse patterns, and mocking techniques for isolating dependencies and testing async, database, and I/O code.
  • Coverage & CI: Recommends coverage targets (80%+), integration with pytest --cov, and test filtering for fast feedback in CI pipelines.
  • Use Case: Ideal for engineers setting up new test suites, migrating legacy tests to pytest, or enforcing testing standards across services.

Quick Start

Ask the assistant to create a pytest test suite for my package that includes unit and integration tests, appropriate fixtures, parametrized examples, and a coverage configuration targeting at least 80% coverage.

Frequently Asked Questions about python-testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure a pytest test suite for a Python package?▼

Apply TDD workflows using pytest by following red-green-refactor cycles, writing failing tests first to drive design, then implementing code to meet requirements and ensure behavior correctness.

How do I test async Python code with pytest?▼

Test async Python code with pytest by requiring the pytest-asyncio library, which enables isolated and repeatable test execution for asynchronous workflows alongside standard unit tests.

What's the best way to isolate database and I/O operations in Python tests?▼

Isolate database and I/O operations in Python tests by applying mocking techniques and configuring fixture scopes to control autouse patterns, ensuring dependencies are replaced for repeatable testing.

How do I measure and enforce Python test coverage in CI pipelines?▼

Measure Python test coverage in CI pipelines by integrating pytest --cov, setting coverage targets at 80% or higher, and applying test filtering to maintain fast feedback during test execution.

Do I need pytest-asyncio to test asynchronous Python functions?▼

Yes, you need pytest-asyncio to test asynchronous Python functions, as it provides the required tooling to run isolated and repeatable tests for async workflows within the pytest framework.

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