Plan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
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Break an epic into implementable story files with acceptance criteria, GDD traceability and ADR guidance. Run after /create-epics.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Break an epic into implementable stories — one behavior per story, ~2-4h each, fully traceable to GDD requirement + ADR decision. Run per epic, Foundation first, then Core, etc.
Output: production/epics/[epic-slug]/story-NNN-[slug].md
Resolve review mode: --review arg → production/review-mode.txt → default full. Accept epic-slug or full path. No arg → list available epics via Glob.
Read in full: EPIC.md, its GDD (all 8 sections), all governing ADRs (Decision, Implementation Guidelines, Engine Compatibility, Engine Notes), control-manifest.md (rules + manifest version), tr-registry.yaml.
ADR existence validation: confirm all referenced ADR files exist on disk. Missing → stop immediately, redirect to /architecture-decision.
| Type | Assign when criteria reference... |
|---|---|
| Logic | Formulas, thresholds, state transitions, calculations |
| Integration | Two+ systems interacting, signals crossing boundaries, save/load |
| Visual/Feel | Animation, VFX, timing, audio sync |
| UI | Menus, HUD, buttons, screens, tooltips |
| Config/Data | Balance tuning values, data files only |
Mixed → assign type with highest implementation risk. Type determines test evidence required at /story-done.
For each GDD AC: group related criteria → each group = one story. Order: foundational first, edge cases last, UI last. Per story determine: GDD requirement + TR-ID (from registry), governing ADR (Proposed → story Blocked), story type, engine risk.
Solo/lean → skip. Full → spawn qa-director gate QL-STORY-READY with story list + ACs + types + TR-IDs. Revise until ADEQUATE. Then qa-director produces test case specs per story:
Specs embed into each story's ## QA Test Cases section.
Show full story list (title, type, ADR, TR-IDs covered, test required) before writing. AskUserQuestion: write all / review first.
Each story file includes: header (epic, status, layer, type, manifest version), context (GDD path, TR-ID, ADR + decision summary, engine risk + notes, manifest rules), acceptance criteria (from GDD), implementation notes (from ADR), out of scope, QA test cases (from qa-director), test evidence (required path by type + status), dependencies (depends on / unlocks).
Also update EPIC.md with populated stories table.
Solo/lean → skip. Full → spawn delivery-manager gate PR-EPIC before writing.
AskUserQuestion with context-aware next steps: start implementing (/story-readiness), create stories for next epic, plan sprint, or stop.
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Plan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
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Web/mobile accessibility decision guide: WCAG 2.2 AA, ARIA, keyboard nav, focus management, contrast, testing. Use for: a11y, accessibility, wcag, aria, screen reader, keyboard, contrast.
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Generate, iterate, and scale ad creative for paid advertising across Google, Meta, LinkedIn, and X. Covers platform specs, creative frameworks, and quality validation.
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Musica interactiva para juegos: layering vertical, re-secuenciacion horizontal, stingers, reglas de transicion con sync points, y mapeo de estados de gameplay a musica. Usar para: musica adaptativa, sistema de musica dinamica, transiciones musicales, combat music.
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Design multi-agent systems, create agent architectures, define communication patterns, and build autonomous agent workflows with structured evaluation frameworks.
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Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, response formats, and quality loops.
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