What common mistakes does this skill help avoid?

It explicitly prevents anti-patterns such as mutating global state, using expensive fixtures without proper scoping, and failing to perform teardown/cleanup operations.

How does it handle complex test data creation?

It utilizes 'Factory Fixtures', which allow you to create multiple instances of a resource within a single test while ensuring proper cleanup after the test completes.

Does this skill help with parallel test execution?

Yes, it includes specific configurations for pytest-xdist, including worker isolation and load balancing strategies like loadscope.

What is the primary benefit of the pytest-advanced skill?

It provides standardized patterns for scaling Python test suites, focusing on execution speed via parallelization and maintainability through advanced fixture and plugin architectures.

Can I use this to create custom test markers?

Absolutely. The skill provides patterns for defining and using custom markers in pyproject.toml to categorize tests such as 'smoke', 'integration', or 'slow'.

Advanced Pytest Patterns

Name: Advanced Pytest Patterns
Author: yonatangross

byyonatangross

•

安全与测试

Implements sophisticated Python testing workflows using custom markers, parallel execution with xdist, and advanced fixture architecture.

The Advanced Pytest Patterns skill empowers Claude to architect high-performance, scalable test suites for complex Python applications. It provides expert guidance on implementing custom pytest plugins, hooks, and categorization markers to optimize CI/CD pipelines. By leveraging pytest-xdist for parallel execution and factory fixture patterns for isolated resource management, this skill ensures that large-scale test environments remain maintainable, fast, and free from common anti-patterns like global state leakage or inefficient resource cleanup.

主要功能

0169 GitHub stars

02Custom marker implementation for intelligent test categorization and selective CI filtering

03Advanced pytest-xdist configuration for parallelized test execution and worker isolation

04Optimization strategies for test collection and session-scoped resource management

05Reusable factory fixture patterns for scalable and clean resource creation

06Custom plugin and hook development for tailoring the test lifecycle

使用场景

01Building a custom test infrastructure with specialized hooks for enterprise applications

02Optimizing slow-running test suites by distributing execution across multiple CPU cores

03Implementing domain-specific testing markers to separate smoke, integration, and performance tests

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit pytest-advanced

For use in Claude.ai and ChatGPT

Download Skill