AI Native Prd Architect

Use when turning a feature idea into an implementation-ready PRD with traceable REQ IDs, acceptance criteria, NFRs, risks, data model, and task slices for /agileteam Phase 0.

DYAI2025 Updated

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AI-native PRD Architect

Produce a buildable, testable PRD without filling gaps by guessing.

Workflow

  1. Restate the goal and target repository.
  2. Create stable REQ-### identifiers.
  3. Define scope, non-goals, actors, data model, interfaces, constraints, NFRs, security/privacy risks, rollout and rollback notes.
  4. Write Given/When/Then acceptance criteria for every REQ.
  5. Build a traceability matrix with REQ, test, task, evidence, wired-in-prod?, and evidence-class columns.
  6. Mark unknowns explicitly as MISSING, OPEN QUESTION, ASSUMPTION, or BLOCKER.

Hard rules

  • Never close a missing requirement through plausibility. Ask the user or call brainstorming.
  • Every task must trace back to at least one REQ.
  • Every REQ must have at least one machine-checkable acceptance signal.

DYAI2025/Plumbline/tree/main/config/claude/skills/ai-native-prd-architect commit 90f24c6eed

Frequently asked questions

npx skillmds@latest add dyai2025/ai-native-prd-architect