A comprehensive collection of AI-powered prompts specifically designed for Quality Assurance professionals. This library provides carefully crafted prompts to help you leverage artificial intelligence in your testing processes.
- Test Case Generation: Create comprehensive test cases with AI assistance
- Bug Reporting: Generate detailed bug reports and reproduction steps
- Test Planning: Develop test strategies and schedules
- Regression Testing: Create regression test suites
- Performance Testing: Define performance test scenarios
- API Testing: Generate API test cases and scenarios
- Security Testing: Create security test cases
- Best Practices: Guidelines for using AI in QA
Visit our documentation to learn more about using the QA Prompt Library.
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Clone the repository:
git clone https://github.com/yourusername/QA-Prompt-Library.git
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Browse through the prompt categories in the documentation
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Select and customize prompts for your specific needs
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Use with your preferred AI model
We welcome contributions! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
This project is licensed under the MIT License - see the LICENSE file for details.
- Thanks to all contributors who have helped shape this library
- Inspired by the growing use of AI in software testing
- Built with Mintlify for beautiful documentation
Need help? Check out:
- GitHub Issues
- Documentation
- Community discussions
Stay tuned for regular updates and new prompt categories!
- [DemoLink] : https://mndesigns.mintlify.app/introduction
(Please note this is a work in progress section as this requires more work on it)
Access the QA Prompt Library programmatically through our public REST API endpoint:
GET https://api.qa-prompt-library.com/v1/prompts
curl -X GET "https://api.qa-prompt-library.com/v1/prompts?category=test-cases"
/prompts
: Get all prompts/prompts/{category}
: Get prompts by category/prompts/search
: Search prompts by keyword/prompts/latest
: Get latest prompts
For detailed API documentation, visit our API Reference.