Checklists
requirements.md
Specification Quality Checklist: Canonical Context Architecture Cleanup
Purpose: Validate specification completeness and quality before proceeding to planning Created: 2026-03-27 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
- ✅ Requirements are testable and unambiguous
- ✅ Requirement types are separated (Functional / Non-Functional / Constraints)
- ✅ IDs are unique across FR-###, NFR-###, and C-### entries
- ✅ All requirement rows include a non-empty Status value
- ✅ Non-functional requirements include measurable thresholds
- ✅ 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
- C-008 references Python 3.11+ and specific libraries (typer, rich, etc.) as a constraint — this is appropriate since it constrains the implementation environment, not the feature behavior.
- All 6 user stories have acceptance scenarios with Given/When/Then format.
- Mutable-frontmatter removal (adjustment #2) is captured in FR-009 and User Story 3.
- Immutable identity (adjustment #1) is captured in FR-021 and User Story 6.
- One-shot migration as first-class deliverable (adjustment #3) is captured in FR-018 and User Story 6.
- Thin shims still generate files (adjustment #4) is captured in C-007.
- Schema version gate (adjustment #5) is captured in FR-020 and C-005.
- Tracked vs derived boundary (adjustment #6) is captured in FR-011.