How do I trigger the test case generation?

Simply provide a Feishu Project URL or use keywords like 'Generate test cases' or 'Create XMind test cases' followed by the requirement details.

What file format does the skill generate?

It generates OPML (Outline Processor Markup Language) files, which are the industry standard for mind-mapping tools like XMind, enabling visual test case management.

Which MCP servers are required for this skill?

This skill requires 'lark-prj-remote' to access project work items and 'lark-mcp-remote' to read technical design documentation from Feishu.

Can it handle technical design documents as well as user stories?

Yes, it specifically parses technical design docs to identify backend logic, API behaviors, and infrastructure requirements to include in the test suite.

Does it automatically assign test case priorities?

Yes, it categorizes test cases into P0 (Core), P1 (Important), and P2 (Secondary) based on the criticality of the feature and the impact of potential failures.

Lark Test Case Generator

Name: Lark Test Case Generator
Author: mookechee

bymookechee

Seguridad y Pruebas

Generates structured OPML test cases from Lark Project work items and technical documentation automatically.

Acerca de

The Lark Test Case Generator is a specialized utility for QA engineers and developers that bridges the gap between project requirements and testing. By integrating with Lark (Feishu) Project and Documentation via MCP servers, this skill automatically extracts user stories, acceptance criteria, and technical designs to map out complex logic branches and user flows. It produces standardized OPML files compatible with XMind, incorporating industry best practices through targeted web searches to ensure comprehensive test coverage—from core functional paths to edge-case exceptions.

Características Principales

Automatic extraction of requirements and acceptance criteria from Lark Project URLs
Pre-configured test hierarchies including Happy Path, Error Path, and priority levels
Deep analysis of Feishu technical design documents for technical test points
Integration with WebSearch to incorporate industry-standard testing best practices
0 GitHub stars
Structured OPML output for seamless import into XMind and mind-mapping tools

Casos de Uso

Mapping out complex state-machine logic from technical docs into visual test cases
Converting a Feishu story or task directly into a structured test suite
Standardizing test documentation across teams using automated AI-driven analysis

Acerca de

Características Principales

Automatic extraction of requirements and acceptance criteria from Lark Project URLs
Pre-configured test hierarchies including Happy Path, Error Path, and priority levels
Deep analysis of Feishu technical design documents for technical test points
Integration with WebSearch to incorporate industry-standard testing best practices
0 GitHub stars
Structured OPML output for seamless import into XMind and mind-mapping tools

Casos de Uso

Mapping out complex state-machine logic from technical docs into visual test cases
Converting a Feishu story or task directly into a structured test suite
Standardizing test documentation across teams using automated AI-driven analysis