qa-plan

Generate structured QA test plans from sprint, feature, or story requirements.

47|12|Updated Jun 14, 2026
One-click install
npx skills add https://github.com/nuoyanruoshui/GodotGameFramework --skill qa-plan-nuoyanruoshui
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qa-plan
Source: https://github.com/nuoyanruoshui/GodotGameFramework/tree/main/Godot/.claude/skills/qa-plan
Command: npx skills add https://github.com/nuoyanruoshui/GodotGameFramework --skill qa-plan-nuoyanruoshui

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents late and incomplete testing by turning sprint, feature, or story requirements into a structured QA plan before implementation begins.

Core Features & Use Cases

  • Scope Analysis: Reads sprint plans, story files, referenced GDDs, architecture controls, and project context to define the testing scope.
  • Test Classification: Categorizes stories as Logic, Integration, Visual/Feel, UI, or Config/Data and identifies automated, manual, smoke, and playtest requirements.
  • Traceable QA Planning: Produces acceptance-criteria-driven test cases, edge-case coverage, sign-off requirements, and a definition of done for development teams.
  • Use Case: When starting a new sprint, use this Skill to review all in-scope stories and generate a QA plan that tells developers what to automate, verify manually, and validate through playtesting.

Quick Start

Use the qa-plan skill for the current sprint to generate a complete pre-implementation QA plan.

Frequently Asked Questions about qa-plan

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

FAQPage Schema
How do I create a QA test plan from sprint requirements before implementation begins?

Creating a QA test plan from sprint requirements involves classifying stories into categories like Logic, Integration, or UI, analyzing edge cases, and generating acceptance-criteria-driven test cases. This structured pre-implementation planning defines what to automate, manually verify, and validate through playtesting.

What is the best way to plan automated testing and manual verification for game development?

Planning automated testing and manual verification for game development requires reading GDDs and sprint plans to categorize stories. Teams can then generate a traceable QA plan covering smoke testing, automated test planning, and playtest sign-off to ensure complete coverage before coding starts.

How do I map acceptance criteria to test cases and edge cases for new features?

Mapping acceptance criteria to test cases requires explicit approval and story classification before writing the plan. By categorizing stories as Config/Data or Visual/Feel, you generate traceable test coverage that includes edge-case analysis and a clear definition of done for development teams.

How do I define testing scope and smoke testing requirements for a new sprint?

Defining testing scope and smoke testing requirements for a new sprint involves reading sprint plans, story files, and project context. This scope analysis identifies automated, manual, smoke, and playtest requirements to prevent late and incomplete testing during game development workflows.

Can I generate a playtest sign-off and definition of done from story files?

Generating a playtest sign-off and definition of done from story files is possible by analyzing sprint requirements and applying story classification. This process produces acceptance-criteria-driven test cases and explicit sign-off requirements for development teams to validate features.

Why does late and incomplete testing happen and how can pre-implementation QA planning prevent it?

Late and incomplete testing happens when QA planning is delayed until after implementation. Pre-implementation QA planning prevents this by reading sprint stories and GDDs upfront to produce traceable test coverage, edge-case analysis, and automated test planning before development begins.