pm-stage-06-qa-plan

Generate a structured QA plan from approved PRD, design, and prototype artifacts.

Updated Jun 8, 2026
One-click install
npx skills add https://github.com/pingmepi/pm-os --skill pm-stage-06-qa-plan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pm-stage-06-qa-plan
Source: https://github.com/pingmepi/pm-os/tree/main/skills/pm-stage-06-qa-plan
Command: npx skills add https://github.com/pingmepi/pm-os --skill pm-stage-06-qa-plan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill solves the challenge of creating consistent, high-quality QA plans that are fully traceable to product requirements, design specifications, and prototype validation goals.

Core Features & Use Cases

  • Traceable Test Strategy: Automatically maps test cases to PRD requirements, user stories, and design states using stable IDs.
  • Governance & Edge Case Coverage: Ensures non-functional requirements like data privacy, access control, and audit logging are explicitly verified.
  • GenAI-Ready: Includes specialized test sections for evaluation datasets, hallucination checks, and red-teaming when working on AI-powered products.

Quick Start

Invoke the pm-stage-06-qa-plan skill to generate a comprehensive QA plan based on your currently approved product artifacts.

Frequently Asked Questions about pm-stage-06-qa-plan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a QA plan with traceability for MVP release readiness?

To generate a traceable QA plan for MVP release readiness, synthesize approved PRD, design, and prototype artifacts to map test cases to requirements using stable IDs, ensuring complete test coverage and validation.

What is the best way to verify non-functional requirements like data privacy in a QA plan?

Verifying non-functional requirements like data privacy in a QA plan involves establishing explicit governance and edge case coverage sections to validate access control, audit logging, and privacy constraints against your design specifications.

Can I test GenAI features and check for hallucinations in my product QA plan?

Yes, you can test GenAI features by including specialized test sections for evaluation datasets, hallucination checks, and red-teaming directly within your QA plan to validate AI-powered product functionality.

Do I need approved PRD and prototype artifacts before creating a traceable test strategy?

Yes, you need approved PRD, design, and prototype artifacts before creating a traceable test strategy, as strict artifact contract validation relies on these inputs to map test cases to user stories and design states.

How does artifact contract validation maintain consistency across product development stages?

Artifact contract validation maintains consistency across product development stages by enforcing adherence to defined stage-gate hooks, ensuring test coverage strictly aligns with approved product requirements and design states.

When should I not use automated test case mapping for my QA plan?

You should not use automated test case mapping when your product artifacts lack stable IDs or when your PRD and prototype validation goals are not yet approved, as strict traceability cannot be maintained.