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qa-plan

Generate QA test plan for a sprint or feature. Classifies stories by test type, outputs automated/manual/smoke/playtest coverage.

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包含的文件(1)

  • SKILL.md4.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

QA Plan

Generates structured QA plan for sprint/feature/story. Reads story files + GDDs, classifies by test type, produces plan with automated tests, manual checks, smoke scope, playtest requirements. Run before sprint begins.

Output: production/qa/qa-plan-[sprint-slug]-[date].md

Phase 1: Parse Scope

  • sprint — read latest file in production/sprints/, extract story paths (prefer sprint-status.yaml if exists)
  • feature: [name] — glob production/epics/*/story-*.md, filter by system name
  • story: [path] — single file
  • No argument — AskUserQuestion: Current sprint / Specific feature / Specific story / Full epic

Missing story files → note as MISSING, continue with rest.

Phase 2: Load Inputs

Per story extract: title/ID, story type, acceptance criteria, implementation files, engine notes, GDD/ADR references, estimate, dependencies.

Supporting context (once): design/gdd/systems-index.md, GDD Acceptance Criteria + Formulas sections for each referenced GDD, docs/architecture/control-manifest.md forbidden patterns.

Phase 3: Classify Stories

Story TypeIndicators
LogicCalculations, formulas, thresholds, state transitions, data validation
Integration≥2 systems interacting, events across boundaries, save/load, network
Visual/FeelAnimation, VFX, shaders, timing, screen shake, audio sync
UIMenus, HUD, buttons, screens, tooltips, panels
Config/DataBalance tuning, data files, configuration only

Mixed stories: assign primary by highest implementation risk, note secondary. Show classification summary table before Phase 4.

Phase 4: Generate Test Plan

Sections:

  • Test Summary — table: story, type, automated test required, manual verification required
  • Automated Tests Required — per story: test file path, what to test (formulas/rules/transitions), edge cases (zero/max/invalid + GDD edge cases), estimated test count. No GDD formula → flag gap
  • Manual QA Checklist — per story: verification method, sign-off (designer/lead/qa), evidence to capture, concrete checklist items. Subjective criteria → supplemented with benchmark
  • Smoke Test Scope — launch, new session, primary mechanic, regression risks, save/load, performance
  • Playtest Requirements — table: story, goal (question to answer), min sessions, target player type. Notes path for sign-off
  • Definition of Done — all ACs verified, test files exist (Logic/Integration), manual evidence (Visual/UI), smoke passes, no regressions, code reviewed, story status updated

Use actual story titles and GDD content — no placeholder text.

Phase 5: Write Output

Show plan (or summary if very long). "May I write to production/qa/qa-plan-[sprint-slug]-[date].md?"

After writing: share with team before sprint, run /smoke-check sprint after implementation, create test files at listed paths before marking done.

Protocol

  • Never write without asking
  • Classify conservatively: ambiguous Logic/Integration → Integration (needs both test types)
  • Don't invent test cases beyond ACs and GDD formulas — flag gaps instead
  • Playtest requirements are advisory — user decides borderline cases
  • AskUserQuestion only for scope selection; rest is present-then-approve

Checklist

  • Scope parsed correctly (sprint/feature/story files found and loaded)
  • Stories classified by test type with primary/secondary assignments
  • Coverage mapped: every AC has at least one automated or manual verification
  • Test plan written to production/qa/qa-plan-[sprint-slug]-[date].md
  • Edge cases identified from GDD formulas and flagged where missing
  • Playtest requirements include target player type and minimum sessions

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