home / skills / jeremylongshore / claude-code-plugins-plus-skills / property-based-test-helper

property-based-test-helper skill

/skills/09-test-automation/property-based-test-helper

This skill provides automated guidance and production-ready configurations for property-based testing, streamlining test generation, validation, and

npx playbooks add skill jeremylongshore/claude-code-plugins-plus-skills --skill property-based-test-helper

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SKILL.md
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---
name: "property-based-test-helper"
description: |
  Assist with property based test helper operations. Auto-activating skill for Test Automation.
  Triggers on: property based test helper, property based test helper
  Part of the Test Automation skill category. Use when writing or running tests. Trigger with phrases like "property based test helper", "property helper", "property".
allowed-tools: "Read, Write, Edit, Bash(cmd:*), Grep"
version: 1.0.0
license: MIT
author: "Jeremy Longshore <[email protected]>"
---

# Property Based Test Helper

## Overview

This skill provides automated assistance for property based test helper tasks within the Test Automation domain.

## When to Use

This skill activates automatically when you:
- Mention "property based test helper" in your request
- Ask about property based test helper patterns or best practices
- Need help with test automation skills covering unit testing, integration testing, mocking, and test framework configuration.

## Instructions

1. Provides step-by-step guidance for property based test helper
2. Follows industry best practices and patterns
3. Generates production-ready code and configurations
4. Validates outputs against common standards

## Examples

**Example: Basic Usage**
Request: "Help me with property based test helper"
Result: Provides step-by-step guidance and generates appropriate configurations


## Prerequisites

- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of test automation concepts


## Output

- Generated configurations and code
- Best practice recommendations
- Validation results


## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |


## Resources

- Official documentation for related tools
- Best practices guides
- Community examples and tutorials

## Related Skills

Part of the **Test Automation** skill category.
Tags: testing, jest, pytest, mocking, tdd

Overview

This skill assists with property-based test helper operations for Test Automation. It provides step-by-step guidance, generates example code and configurations, and validates test patterns against common standards. Use it to accelerate writing robust, repeatable property-based tests in Python and other test frameworks.

How this skill works

The skill inspects test requirements, suggests property definitions and invariants, and generates runnable test scaffolding (hypothesis/pytest, quickcheck-style snippets). It can produce configuration snippets, mocking strategies, shrinking hints, and validation checks against typical CI expectations. Outputs are tailored to your environment and follow industry best practices.

When to use it

  • You need to design or refactor property-based tests
  • Writing invariants and generators for complex inputs
  • Integrating property tests into CI/CD pipelines
  • Converting example-based tests to property-based tests
  • Troubleshooting flaky tests related to input generation

Best practices

  • Define clear, small invariants that capture the core property you expect
  • Start with simple generators and gradually expand coverage
  • Use shrinking-friendly strategies to keep failures actionable
  • Combine property tests with example-based tests for edge cases
  • Run property tests with controlled seed and CI-friendly settings

Example use cases

  • Generate Hypothesis strategies for nested JSON structures and validate serialization invariants
  • Create property test scaffolding converting a suite of unit tests to property-based style
  • Provide CI configuration examples to run property tests with time limits and reproducible seeds
  • Suggest mocking/stubbing approaches for tests that interact with external services
  • Diagnose flaky property tests by recommending generator constraints and shrinking options

FAQ

Which frameworks does this support?

Primary examples target Hypothesis/pytest for Python and QuickCheck-style patterns; guidance is framework-agnostic so you can adapt to other languages.

How do I control test runtime in CI?

Limit examples or max_examples, set deadlines or timeouts, and run with a fixed seed. The skill can provide concrete configuration snippets for CI.