Awesome QA Prompt

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Awesome QA Prompt Collection ​

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A professional collection of AI prompts for QA (Quality Assurance) professionals, designed to help test engineers and QA teams work more efficiently throughout the software testing lifecycle.

📊 Project Word Cloud ​

Awesome QA Prompt Word Cloud

Visual representation of core keywords - Balance symbolizes precision and rigor in testing

🌐 Online Documentation ​

📖 Visit our online documentation for a better reading experience: https://naodeng.github.io/awesome-qa-prompt/

💡 Deployment: This project is configured with GitHub Actions for automatic deployment. Every push to the main branch automatically updates the online documentation. See Deployment Guide for details.

Online documentation features:

  • 🔍 Full-text Search - Quickly find what you need
  • 🌓 Dark/Light Theme - Auto-adapts to system theme
  • 🌏 Bilingual Support - Switch between Chinese and English
  • 📱 Responsive Design - Perfect mobile experience
  • 📑 Clear Navigation - Sidebar and table of contents
  • ⚡ Lightning Fast - Static site, instant loading

📋 Table of Contents ​

🎯 Project Overview ​

Awesome QA Prompt Collection is a carefully curated library of AI prompts specifically designed for software testing and quality assurance. By providing structured, professional prompt templates, it helps test engineers:

  • Improve Testing Efficiency: Quickly generate high-quality test scenarios and test cases
  • Ensure Test Coverage: Systematically cover functional, performance, security, and other dimensions
  • Standardize Processes: Unify test documentation formats and test execution standards
  • Knowledge Transfer: Preserve best practices and testing experience

📚 Feature Categories ​

This collection includes professional prompts for the following testing domains:

1. 📝 Requirements Analysis ​

  • Location: RequirementsAnalysis/RequirementsAnalysisPrompt_EN.md
  • Description: Conduct in-depth analysis based on requirements documents and design comprehensive test scenarios
  • Use Cases: Requirements review, test planning, test scenario design
  • Core Capabilities:
    • Test design methods: Scenario testing, state transition diagrams, decision tables
    • Positive paths, negative paths, boundary value analysis
    • UI/UX, input validation, non-functional testing coverage

2. ✍️ Test Case Writing ​

  • Location: TestCaseWriting/TestCaseWritingPrompt_EN.md
  • Description: Automatically generate detailed test cases based on test scenarios
  • Use Cases: Test case design, test documentation writing
  • Core Capabilities:
    • Test case design principles and best practices
    • Standardized test case format and templates
    • Test data design and management strategies
    • Maintainability and traceability assurance

3. 🔍 Functional Testing ​

  • Location: FunctionalTesting/FunctionalTestingPrompt_EN.md
  • Description: Design functional testing strategies and execution plans
  • Use Cases: Functional test execution, regression testing
  • Core Capabilities:
    • Black-box testing methods and functional decomposition testing
    • Functional coverage completeness and scientific testing methods
    • Business logic complexity and user experience focus
    • System integration complexity handling

4. ⚡ Performance Testing ​

  • Location: PerformanceTesting/PerformanceTestingPrompt_EN.md
  • Description: Design performance test scenarios and performance metrics analysis
  • Use Cases: Performance test planning, performance bottleneck analysis
  • Core Capabilities:
    • Load, stress, spike, capacity, and other performance tests
    • Performance metrics system and bottleneck analysis framework
    • Test scenario realism and performance optimization recommendations
    • Performance monitoring and trend analysis

5. 🤖 Automation Testing ​

  • Location: AutomationTesting/AutomationTestingPrompt_EN.md
  • Description: Automation test script design and framework selection
  • Use Cases: Automation test implementation, CI/CD integration
  • Core Capabilities:
    • Test automation pyramid and layered strategy
    • Web, API, mobile, database automation
    • Technology stack selection and framework design
    • CI/CD integration and maintenance optimization

6. 📱 Mobile Testing ​

  • Location: MobileTesting/MobileTestingPrompt_EN.md
  • Description: Mobile application testing strategies and scenario design
  • Use Cases: Mobile application testing, compatibility testing
  • Core Capabilities:
    • iOS and Android platform-specific testing
    • Device compatibility and network connectivity testing
    • Mobile lifecycle and user interaction testing
    • Performance, security, and user experience specialized testing

7. 🐛 Bug Reporting ​

  • Location: BugReporting/BugReportingPrompt_EN.md
  • Description: Standardized bug report templates and bug analysis
  • Use Cases: Bug management, bug analysis
  • Core Capabilities:
    • Bug identification principles and classification system
    • Standardized bug report format
    • Root cause analysis and resolution recommendations
    • Bug lifecycle management

8. 📊 Test Reporting ​

  • Location: TestReporting/TestReportingPrompt_EN.md
  • Description: Test execution reports and quality analysis reports
  • Use Cases: Test summary, quality assessment
  • Core Capabilities:
    • Multiple types of test report writing
    • Quality metrics system and risk assessment
    • Data visualization and trend analysis
    • Decision support and improvement recommendations

9. 🎯 Test Strategy ​

  • Location: TestStrategy/TestStrategyPrompt_EN.md
  • Description: Overall test strategy development and test plan design
  • Use Cases: Project kickoff, test planning
  • Core Capabilities:
    • Test strategy hierarchy and development principles
    • Test objectives, scope, methods, resource planning
    • Risk management and quality control mechanisms
    • Implementation plan and budget resource planning

10. 🤖 AI-Assisted Testing ​

  • Location: AIAssistedTesting/AIAssistedTestingPrompt_EN.md
  • Description: Leverage AI technology to improve testing efficiency and quality
  • Use Cases: Intelligent test generation, test optimization
  • Core Capabilities:
    • AI-driven test case generation
    • Intelligent bug prediction and analysis
    • Automated test maintenance and optimization
    • Intelligent test data generation

11. 📋 Manual Testing ​

  • Location: ManualTesting/ManualTestingPrompt_EN.md
  • Description: Manual testing strategies and exploratory testing
  • Use Cases: Exploratory testing, user experience testing
  • Core Capabilities:
    • Exploratory testing methods and techniques
    • Manual test case design
    • User experience evaluation
    • Test session management

12. 🔒 Security Testing ​

  • Location: SecurityTesting/SecurityTestingPrompt_EN.md
  • Description: Security vulnerability detection and security testing strategies
  • Use Cases: Security audit, penetration testing
  • Core Capabilities:
    • OWASP Top 10 vulnerability testing
    • Authentication and authorization testing
    • Data security and encryption testing
    • Security compliance checking

13. 🔌 API Testing ​

  • Location: APITesting/APITestingPrompt_EN.md
  • Description: API interface testing and integration testing
  • Use Cases: Interface testing, microservices testing
  • Core Capabilities:
    • RESTful API test design
    • API performance and load testing
    • Interface contract testing
    • API security testing

14. ♿ Accessibility Testing ​

  • Location: AccessibilityTesting/AccessibilityTestingPrompt_EN.md
  • Description: Web accessibility testing and WCAG compliance checking
  • Use Cases: Accessibility testing, compliance verification
  • Core Capabilities:
    • WCAG 2.1 standard testing
    • Screen reader compatibility
    • Keyboard navigation testing
    • Color contrast and visual testing

🔄 Testing Workflows ​

This project provides three practical testing workflows to help teams efficiently use the prompt library in different scenarios:

1. 📅 Daily Testing Workflow ​

  • Location: Workflows/daily-testing-workflow_EN.md | 中文版
  • Use Cases: Daily testing activities for QA engineers
  • Coverage:
    • Morning routine and test planning
    • Test case creation and automation
    • Exploratory testing and bug reporting
    • Daily summary and knowledge sharing

2. 🏃 Sprint Testing Workflow ​

  • Location: Workflows/sprint-testing-workflow_EN.md | 中文版
  • Use Cases: 2-week sprint cycle for Agile/Scrum teams
  • Coverage:
    • Sprint planning and test strategy
    • Daily testing activities and progress tracking
    • Regression and integration testing
    • Sprint review and retrospective

3. 🚀 Release Testing Workflow ​

  • Location: Workflows/release-testing-workflow_EN.md | 中文版
  • Use Cases: Comprehensive testing before production release
  • Coverage:
    • Release planning and test preparation (T-14 days)
    • Specialized testing (performance, security, accessibility)
    • Release candidate testing and Go/No-Go decision
    • Release day process and post-release monitoring

Workflow Usage Tips:

  • Choose the appropriate workflow based on current task
  • Follow links in workflows to access relevant prompts
  • Use checklists to track progress
  • Adjust workflows according to team practices

🚀 Quick Start ​

Visit our online documentation: https://naodeng.github.io/awesome-qa-prompt/

  1. Select a testing type or workflow from the left sidebar
  2. Click "Full Version" or "Lite Version" to view prompts
  3. Copy the prompt content to your AI assistant (ChatGPT, Claude, Cursor AI, etc.)
  4. Attach your input materials to get structured test documentation

Method 2: Local Use ​

Prerequisites ​

  • AI assistant that supports Markdown format (e.g., ChatGPT, Claude, Cursor AI)
  • Basic software testing knowledge

Usage Steps ​

  1. Select a Prompt

    • Choose the corresponding prompt file based on your testing task
    • Use English prompts (_EN.md) for English projects, Chinese prompts for Chinese projects

  2. Prepare Input Materials

    • Prepare relevant input documents according to the prompt requirements
    • Example: Requirements analysis requires requirements documents or User Stories

  3. Copy the Prompt

    • Copy the selected prompt content to your AI assistant
    • Attach your input materials after the prompt

  4. Get Output

    • The AI assistant will generate structured test documentation based on the prompt
    • Adjust and refine as needed

Example: Requirements Analysis ​

markdown
# Step 1: Copy the requirements analysis prompt
# Copy content from RequirementsAnalysis/RequirementsAnalysisPrompt_EN.md

# Step 2: Attach requirements document
[Paste your requirements document or User Story here]

# Step 3: Send to AI assistant
# AI will generate comprehensive test scenarios based on the prompt

Complete Testing Process Example ​

markdown
# Complete testing project workflow
1. Requirements Analysis → RequirementsAnalysis/RequirementsAnalysisPrompt_EN.md
2. Test Strategy → TestStrategy/TestStrategyPrompt_EN.md
3. Test Case Writing → TestCaseWriting/TestCaseWritingPrompt_EN.md
4. Functional Testing → FunctionalTesting/FunctionalTestingPrompt_EN.md
5. Automation Testing → AutomationTesting/AutomationTestingPrompt_EN.md
6. Performance Testing → PerformanceTesting/PerformanceTestingPrompt_EN.md
7. Mobile Testing → MobileTesting/MobileTestingPrompt_EN.md
8. Bug Reporting → BugReporting/BugReportingPrompt_EN.md
9. Test Reporting → TestReporting/TestReportingPrompt_EN.md

📊 Project Completion Status ​

✅ Completed Modules ​

ModuleChinese PromptEnglish PromptLite ChineseLite EnglishREADMEStatus
Requirements Analysis✅✅✅✅✅Complete
Test Case Writing✅✅✅✅✅Complete
Functional Testing✅✅✅✅✅Complete
Performance Testing✅✅✅✅✅Complete
Automation Testing✅✅✅✅✅Complete
Mobile Testing✅✅✅✅✅Complete
Bug Reporting✅✅✅✅✅Complete
Test Reporting✅✅✅✅✅Complete
Test Strategy✅✅✅✅✅Complete
AI-Assisted Testing✅✅✅✅✅Complete
Manual Testing✅✅✅✅✅Complete
Security Testing✅✅✅✅✅Complete
API Testing✅✅✅✅✅Complete
Accessibility Testing✅✅✅✅✅Complete

🔄 Workflows ​

WorkflowChinese VersionEnglish VersionStatus
Daily Testing Workflow✅✅Complete
Sprint Testing Workflow✅✅Complete
Release Testing Workflow✅✅Complete

📈 Completion Statistics ​

  • Total Testing Type Modules: 14
  • Completed Modules: 14 (100%)
  • Chinese Prompts: 14 (100%)
  • English Prompts: 14 (100%)
  • Lite Chinese: 14 (100%)
  • Lite English: 14 (100%)
  • Module Documentation: 14 (100%)
  • Workflows: 3 (100%)

🎯 Core Features ​

  • Full Lifecycle Coverage: Complete testing lifecycle from requirements analysis to test reporting
  • Multi-language Support: Bilingual prompts in Chinese and English for different team needs
  • High Professionalism: Each prompt designed by expert roles with 10+ years of experience
  • High Practicality: Provides standardized formats and best practice guidance
  • Good Extensibility: Modular design, easy to extend and customize

📁 Directory Structure ​

awesome-qa-prompt/
├── README.md                          # Project documentation (Chinese)
├── README_EN.md                       # Project documentation (English)
├── LICENSE                            # License file
│
├── RequirementsAnalysis/              # Requirements Analysis
│   ├── RequirementsAnalysisPrompt.md      # Chinese prompt
│   ├── RequirementsAnalysisPrompt_EN.md  # English prompt
│   ├── RequirementsAnalysisPrompt_Lite.md     # Lite Chinese
│   ├── RequirementsAnalysisPrompt_Lite_EN.md  # Lite English
│   └── README.md                          # Module documentation
│
├── TestCaseWriting/                   # Test Case Writing
│   ├── TestCaseWritingPrompt.md           # Chinese prompt
│   ├── TestCaseWritingPrompt_EN.md       # English prompt
│   ├── TestCaseWritingPrompt_Lite.md     # Lite Chinese
│   ├── TestCaseWritingPrompt_Lite_EN.md  # Lite English
│   └── README.md                          # Module documentation
│
├── FunctionalTesting/                 # Functional Testing
├── PerformanceTesting/                # Performance Testing
├── AutomationTesting/                 # Automation Testing
├── MobileTesting/                     # Mobile Testing
├── BugReporting/                      # Bug Reporting
├── TestReporting/                     # Test Reporting
├── TestStrategy/                      # Test Strategy
├── AIAssistedTesting/                 # AI-Assisted Testing
├── ManualTesting/                     # Manual Testing
├── SecurityTesting/                   # Security Testing
├── APITesting/                        # API Testing
├── AccessibilityTesting/              # Accessibility Testing
│   # Each testing type folder contains the same file structure
│
├── Workflows/                         # Testing Workflows
│   ├── README.md                          # Workflow documentation (bilingual)
│   ├── daily-testing-workflow_CN.md       # Daily Testing Workflow (Chinese)
│   ├── daily-testing-workflow_EN.md       # Daily Testing Workflow (English)
│   ├── sprint-testing-workflow_CN.md      # Sprint Testing Workflow (Chinese)
│   ├── sprint-testing-workflow_EN.md      # Sprint Testing Workflow (English)
│   ├── release-testing-workflow_CN.md     # Release Testing Workflow (Chinese)
│   └── release-testing-workflow_EN.md     # Release Testing Workflow (English)
│
└── Reference/                         # Reference materials (original content preserved)
    ├── manual-qa/                     # Manual testing reference
    ├── automation-qa/                 # Automation testing reference
    ├── ai-assisted-qa/                # AI-assisted testing reference
    ├── cursor-ai/                     # Cursor AI role reference
    ├── mobile-testing/                # Mobile testing reference
    ├── specialized-testing/           # Specialized testing reference
    └── workflows/                     # Workflow reference (migrated to Workflows/)

📖 Usage Guide ​

Prompt Design Principles ​

Prompts in this collection follow these design principles:

  1. Professionalism: Based on industry best practices and testing theory
  2. Structure: Clear format and explicit output requirements
  3. Executability: Generated test documentation can be directly used for test execution
  4. Traceability: Test scenarios are linked to requirements for easy traceability

Best Practices ​

  1. Adjust Based on Reality: Modify specific requirements in prompts according to project characteristics
  2. Iterative Optimization: Continuously optimize prompts based on usage feedback
  3. Team Collaboration: Use consistently within the team to ensure uniform test documentation format
  4. Knowledge Preservation: Contribute optimized prompts back to the project

Prompt Customization ​

You can customize prompts according to project needs:

  • Modify Priority Definitions: Adjust priority standards based on project risks
  • Add Business Rules: Include project-specific business rules in prompts
  • Extend Test Dimensions: Add new test dimensions based on project characteristics

🤝 Contributing ​

We welcome all forms of contributions!

How to Contribute ​

  1. Fork the Project

    bash
    git clone https://github.com/naodeng/awesome-qa-prompt.git

  2. Create a Branch

    bash
    git checkout -b feature/your-feature-name

  3. Add or Improve Prompts

    • Create new prompt files
    • Improve existing prompts
    • Add usage examples

  4. Commit Changes

    bash
    git add .
git commit -m "Add: Describe your changes"
git push origin feature/your-feature-name

  5. Create Pull Request

Local Documentation Development ​

If you want to run the documentation website locally:

bash
# Install dependencies
npm install

# Start development server
npm run docs:dev

# Visit http://localhost:5173

Build production version:

bash
npm run docs:build
npm run docs:preview

For detailed instructions, see QUICK_DEPLOY_EN.md.

Types of Contributions ​

  • ✨ Add new prompt categories
  • 🔧 Improve existing prompts
  • 📝 Add documentation and examples
  • 🐛 Fix errors or issues
  • 🌐 Translation and localization

Code Standards ​

  • Write prompts in Markdown format
  • Maintain format consistency and readability
  • Add necessary comments and explanations
  • Provide usage examples

📄 License ​

This project is licensed under the MIT License.

🙏 Acknowledgments ​

Thanks to all test engineers and QA experts who have contributed to this project!

📮 Contact ​

For questions or suggestions, please contact us through:

Let AI be the best assistant for test engineers! 🚀

📋 Change Log ​

v0.1 (2025-01-14) ​

  • Initial version
  • Completed 14 testing type modules with bilingual prompts (full + lite versions)
  • Completed 3 testing workflows (bilingual)
  • Added VitePress online documentation website
  • Configured GitHub Pages automatic deployment
  • Support dual platform deployment (GitHub Pages + Cloudflare Pages)
  • Integrated Umami website analytics
  • Added SEO optimization and favicon configuration
  • Added usage instructions and version logs to all prompt files

Released under the MIT License

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