What is the output format of the generated test cases?

Test cases are saved as structured JSON files locally. These files are designed to be compatible with Google Sheets templates for easy team sharing and reporting.

Can I apply my own custom QA rules?

Yes. The skill scans the data/rules/ folder for active JSON files. If a scenario pattern matches a rule, it automatically applies the specified recommendations to the test case.

What inputs does the write-tc skill accept?

The skill accepts local scenario JSON file paths, Confluence Page IDs, or Figma node IDs to extract functional requirements and generate test cases.

Does it include UI styling details like colors or fonts?

No. Following professional QA best practices, the skill excludes design specs (hex codes, pixels, tokens) and focuses on functional states like 'active', 'disabled', or 'error' to ensure TC longevity.

How does the skill handle TC ID numbering?

It follows a strict alphanumeric pattern (Abbreviation-SubNumber-Sequence). Once an ID is assigned, it remains fixed even if the TC is moved or others are deleted, ensuring long-term traceability.

QA Test Case Writer

Name: QA Test Case Writer
Author: MediSolveAIDev

byMediSolveAIDev

0•

安全与测试

Generates standardized, structured QA test cases from scenario files, Confluence pages, or Figma nodes while enforcing project-specific rules.

The write-tc skill automates the creation of comprehensive QA test cases by analyzing functional scenarios and applying pre-defined project rules. It bridges the gap between planning and execution by enforcing strict naming conventions, hierarchical depth structures (up to 7 levels), and persistent TC ID tracking for integration with tools like JIRA. Designed for professional QA workflows, it produces structured JSON outputs that can be seamlessly uploaded to Google Sheets, ensuring all edge cases, UI behaviors, and business logic are covered without including fragile design-specific attributes like hex codes or pixel values.

主要功能

010 GitHub stars

02Automated TC generation from JSON scenarios, Confluence Page IDs, or Figma nodes.

03Rule-based logic engine that auto-applies project-specific QA recommendations from local directories.

04Persistent TC ID management system to ensure traceability across JIRA and bug reports.

05Strict 7-level depth hierarchy for granular coverage of UI elements and functional branches.

06Standardized JSON schema output with metadata, test steps, and review history tracking.

使用场景

01Transforming Confluence requirement pages into production-ready test plans.

02Generating structured test data for automated test scripts and QA management dashboards.

03Enforcing consistent testing standards across multiple development teams and projects.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add medisolveaidev/qa-medi-plugin write-tc

For use in Claude.ai and ChatGPT

主要功能

010 GitHub stars

02Automated TC generation from JSON scenarios, Confluence Page IDs, or Figma nodes.

03Rule-based logic engine that auto-applies project-specific QA recommendations from local directories.

04Persistent TC ID management system to ensure traceability across JIRA and bug reports.

05Strict 7-level depth hierarchy for granular coverage of UI elements and functional branches.

06Standardized JSON schema output with metadata, test steps, and review history tracking.

使用场景

01Transforming Confluence requirement pages into production-ready test plans.

02Generating structured test data for automated test scripts and QA management dashboards.

03Enforcing consistent testing standards across multiple development teams and projects.