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ai-teacher/specs/001-neuro-rag-learning/checklists/requirements.md
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2026-03-31 15:42:49 +02:00

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Specification Quality Checklist: Neurosurgeon RAG Learning Platform

Purpose: Validate specification completeness and quality before proceeding to planning Created: 2026-03-31 Feature: spec.md

Content Quality

  • No implementation details (languages, frameworks, APIs)
  • Focused on user value and business needs
  • Written for non-technical stakeholders
  • All mandatory sections completed

Requirement Completeness

  • No [NEEDS CLARIFICATION] markers remain — resolved 2026-03-31
  • Requirements are testable and unambiguous
  • Success criteria are measurable
  • Success criteria are technology-agnostic (no implementation details)
  • All acceptance scenarios are defined
  • Edge cases are identified
  • Scope is clearly bounded
  • Dependencies and assumptions identified

Feature Readiness

  • All functional requirements have clear acceptance criteria
  • User scenarios cover primary flows
  • Feature meets measurable outcomes defined in Success Criteria
  • No implementation details leak into specification

Notes

  • All items pass. Spec is ready for /speckit.plan.
  • Resolved 2026-03-31: shared global library (Q1-A), simple shared-password auth (Q2-B).
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