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Pytest Patterns

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manutej·vlatest·testing

Automates pytest test creation using common patterns like data-driven tests, fixtures, and parametrization for efficient testing.

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  1. 1

    Run this in your project

    terminal
    $ npx skills add manutej/luxor-claude-marketplace --skill pytest-patterns -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

manutej

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Live repository

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Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

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    Scanned manutej/luxor-claude-marketplace at 1861cc9720.

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Commit
1861cc9720
Manifest
plugins/luxor-testing-essentials/skills/pytest-patterns/SKILL.md
Scanned
3 files, 3,695 lines
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About this skill

What it does

This skill provides a library of reusable testing patterns specifically designed for the pytest framework. It enables AI agents to generate standardized, maintainable test structures that cover common software development scenarios efficiently.

When to use it

  • You need to quickly scaffold unit tests for new Python modules without writing boilerplate code from scratch.
  • Your team requires consistent testing conventions across multiple projects to improve code review efficiency.
  • You are refactoring legacy code and need to establish a robust, pattern-based regression test suite.
  • An AI agent needs to generate edge-case coverage strategies that align with industry best practices.

Key capabilities

  • Implements standard pytest fixtures for shared setup and teardown logic.
  • Provides parameterized test patterns to reduce repetitive assertion code.
  • Supports custom markers for organizing tests by priority or feature area.
  • Includes strategies for mocking external dependencies within isolated test environments.

Example prompts

  • "Generate a pytest test suite using the pytest-patterns library to validate user authentication logic."
  • "Create parameterized tests for an API endpoint that handles various HTTP status codes using established patterns."
  • "Refactor these existing unit tests into reusable fixtures and markers following the pytest-patterns guidelines."

Tips & gotchas

Ensure your project has pytest installed before utilizing these patterns, as they rely on specific framework features. While the library offers robust defaults, always review generated code to ensure it fits your specific application's architectural constraints.