Generate requirement-based QA plans from Godot story files and GDD criteria.
npx skills add https://github.com/scomofo/dragon-forge --skill qa-plan-scomofo
Please help me install this Agent Skill. Skill: qa-plan Source: https://github.com/scomofo/dragon-forge/tree/main/.agents/skills/qa-plan Command: npx skills add https://github.com/scomofo/dragon-forge --skill qa-plan-scomofo
QA planning usually happens after implementation, which creates rework and missed regressions because the team only learns what to test once changes are already done.
Run qa-plan for the current sprint so the team receives a structured QA plan covering automated tests, manual checks, smoke scope, and playtest requirements.
High-intent search queries and answers about installing and using this skill.
To create a Godot sprint QA plan, analyze story files and referenced GDD acceptance criteria to classify tests into Logic, Integration, Visual/Feel, UI, and Config/Data categories, producing a structured document with automated test paths and manual verification checklists.
Requirement-based test classification reads GDD sections like Acceptance Criteria and Formulas to categorize tests into Logic, Integration, Visual/Feel, UI, or Config/Data, ensuring sprint scope coverage matches design specifications before implementation begins.
Plan smoke testing and playtest sign-off scope for a single story by resolving the story path, reading its GDD references, and generating a structured document specifying smoke test boundaries and required playtest sign-off evidence.
Yes, when missing story or GDD references are encountered, the QA planning process handles them conservatively, ensuring the generated test coverage document remains accurate without failing the sprint scope resolution.
Generate automated test paths and manual verification checklists by running requirement-driven QA planning on your sprint or feature scope, which outputs actionable test requirements and writes the results to a dated file for team hand-off.
QA planning before implementation prevents rework and missed regressions by establishing test coverage, smoke test scope, and playtest sign-off rules early, so the team knows exactly what to test before changes are built.
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