An automated utility designed to convert product requirements and source code logic into hierarchical XMind test case structures.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install xmind-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 xmind-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 XMind Test Case Generator?
The XMind Test Case Generator is a specialized tool within the Openclaw Skills ecosystem that streamlines the transition from product requirements to actionable test suites. By analyzing local documents or cloud-based Feishu links, this skill helps teams build comprehensive test maps that include modules, sub-modules, specific test points, and step-by-step instructions.
This skill goes beyond simple text parsing by encouraging deep code analysis, allowing the AI to identify complex behavior patterns, server-side validation chains, and error codes that are often missed in manual testing. It ensures that every generated case follows a strict priority and platform-tagging convention, making it an essential asset for modern software quality assurance.
XMind Test Case Generator Use Cases
- Automatically generating test plans from functional requirement documents.
- Converting complex code logic and enums into structured test scenarios.
- Standardizing test case distribution between smoke tests and normal regression tests.
- Ensuring cross-platform coverage for iOS, Android, and Web applications within a single mind map.
How XMind Test Case Generator Works
- Fetch the requirement document using local file reading or the Feishu fetch tool.
- Construct a module list to identify all functional sections without omissions.
- Perform a deep code analysis on core files to extract constants, enums, and error codes for complex functions.
- Populate the case data into the generation script using the build_cases function.
- Execute the Python generation script to output the final .xmind file.
- Verify the distribution statistics to ensure smoke tests (P1) account for approximately 20% of the total cases.
XMind Test Case Generator Setup
To get started with this skill in the Openclaw Skills framework, ensure your environment is ready for Python execution:
# Install the necessary Python environment
# Ensure you have access to the gen_xmind.py script
python3 gen_xmind.py
Configuration requires setting up access for the feishu_fetch-doc tool if you are pulling requirements from cloud documents.
XMind Test Case Generator Data Schema & Taxonomy
The skill organizes data into a strict hierarchical structure to maintain clarity and professional standards:
| Level | Description |
|---|---|
| Requirement Name | The root node of the XMind file |
| Module | Major functional areas |
| Sub-module | Specific features within a module |
| Test Point | The specific scenario being tested (marked P1 or P3) |
| Steps | Numbered operational actions |
| Expected Result | The predicted outcome for each step |
Priority distribution is strictly enforced: P1 (Smoke) at ~20% and P3 (Normal) at ~80%. Platform tagging includes ai for mobile, as for Android/Server, and f for Frontend.
XMind Test Case Generator Advanced Features
- Deep code integration: Analyzes client-side enums and server-side validation chains for higher test accuracy.
- Automated smoke ratio validation: Ensures the test suite remains balanced for CI/CD triggers.
- Comprehensive QA Checklist: Automatically accounts for edge cases like race conditions, boundary values, and state synchronization.
- Multi-platform tagging: Supports simultaneous targeting of iOS, Android, and Web platforms within the same Openclaw Skills workflow.
SKILL.md
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