An AI-driven workflow for transforming product requirements and screenshots into comprehensive, structured test cases and QA review points.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-testcase-generator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-testcase-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI Test Case Generator?
The AI Test Case Generator is a specialized documentation-driven skill designed for AI coding agents to bridge the gap between product requirements and quality assurance. By analyzing PRDs, screenshots, or plain text briefs, it enables agents to systematically generate test coverage, ensuring that every user journey and edge case is accounted for before implementation or release.
This skill is part of the broader ecosystem of Openclaw Skills, providing a structured framework for QA teams and developers to maintain high software quality through automated analysis. It focuses on identifying core flows, grouping coverage by module, and highlighting potential security or accessibility concerns, making it an essential tool for modern devops and development workflows.
AI Test Case Generator Use Cases
- Generating detailed test cases from a PRD or technical specification file.
- Creating QA checklists based on UI screenshots of new features.
- Conducting structured requirement reviews to identify gaps before development begins.
- Building edge case and negative testing scenarios for security and permission boundaries.
- Preparing pre-release checklists to ensure feature-complete deployments.
How AI Test Case Generator Works
- Extract Core Flows: The agent identifies primary user journeys, business rules, and technical constraints from the provided input.
- Module Grouping: Coverage is organized by feature area, API endpoint, UI surface, or user role for better clarity.
- Edge Case Generation: The skill prompts the inclusion of negative paths, invalid inputs, and concurrency failures.
- Review and Refine: A final pass is conducted to check for execution readiness, security impact, and coverage gaps.
AI Test Case Generator Setup
This skill is a documentation-only package for use within supported AI agent environments. To integrate this logic into your Openclaw Skills workflow, ensure your agent has access to the skill definition.
# Example of adding the skill to your local environment
openclaw install ai-testcase-generator
AI Test Case Generator Data Schema & Taxonomy
| Component | Description |
|---|---|
| Inputs | Text briefs, file paths, product stage, and focus areas (e.g., security, accessibility). |
| Outputs | Test scope summary, module-grouped test points, and detailed steps with expected results. |
| Metadata | Priority labels, severity levels, and dependency flags for missing product details. |
AI Test Case Generator Advanced Features
- Multi-stage QA loops covering requirement review through pre-release validation.
- Specialized focus area injections for security, accessibility, and cross-platform compatibility.
- Integration-ready outputs designed for mapping requirements to executable test work.
- Intelligent gap detection that flags dependencies on missing product documentation.
SKILL.md
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