agentic-qe

🥇Gold

Agentic QE Fleet is an open-source AI-driven quality engineering platform tailored for Claude Code, providing specialized agents for testing throughout the SDLC. Free to use and contribute, it helps developers to enhance product quality effectively.

292290Updated 1w ago

Intermediate15 minutes to implementdevelopment

Saves ~200 min per use

Quick InstallView Source

claude install proffesor-for-testing/agentic-qe

Works with:

Claude

Overview

About This Skill

How to Use

1. **Define the Feature**: Clearly describe the feature you want to test, including its key functionalities and user interactions. 2. **Identify Test Types**: Determine the types of tests needed (unit, integration, end-to-end, performance, security). 3. **Prioritize Tests**: Prioritize tests based on risk and impact to focus on the most critical areas first. 4. **Choose Tools**: Select appropriate testing tools for each type of test. Consider tools like Jest, Postman, Selenium, JMeter, and OWASP ZAP. 5. **Review and Iterate**: Review the test plan with your team, gather feedback, and make necessary adjustments to ensure comprehensive coverage.

Use Cases

Automating test case generation

Continuous integration testing

Performance testing for web applications

Regression testing for software updates

Best For

GrowthCS

Setup & Installation

Quick Install

Terminal

claude install proffesor-for-testing/agentic-qe

Alternative Install (Git Clone)

git clone https://github.com/proffesor-for-testing/agentic-qe

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Using Agentic QE Fleet, create a comprehensive test plan for a new feature in [PRODUCT]. The feature involves [DESCRIBE FEATURE]. Identify key test scenarios, including unit tests, integration tests, and end-to-end tests. Prioritize these tests based on risk and impact. Suggest specific tools or frameworks that would be most effective for each type of test.

Example Output

Based on the feature description for the new 'AI-Powered Recommendation Engine' in the e-commerce platform, here's a comprehensive test plan:

1. **Unit Tests**:
   - Test individual recommendation algorithms for accuracy and performance.
   - Use tools like Jest or PyTest to ensure each function behaves as expected.
   - Prioritize: High

2. **Integration Tests**:
   - Verify the interaction between the recommendation engine and the database.
   - Ensure the engine correctly processes user data and preferences.
   - Use Postman or RestAssured for API testing.
   - Prioritize: High

3. **End-to-End Tests**:
   - Simulate user interactions to ensure recommendations are displayed correctly.
   - Use Selenium or Cypress to automate browser testing.
   - Prioritize: Medium

4. **Performance Tests**:
   - Load test the recommendation engine to ensure it can handle peak traffic.
   - Use JMeter or Gatling to simulate high user loads.
   - Prioritize: Medium

5. **Security Tests**:
   - Ensure user data is handled securely and complies with regulations.
   - Use OWASP ZAP or Burp Suite for security testing.
   - Prioritize: High

By focusing on these areas, we can ensure the AI-Powered Recommendation Engine is robust, reliable, and secure.