Checklists

requirements.md

Specification Quality Checklist: WPState/Lane Consumer Strangler Fig Migration — Phase 2

Purpose: Validate specification completeness and quality before proceeding to planning Created: 2026-04-09 Feature: spec.md

Content Quality

  • ✅ No implementation details (languages, frameworks, APIs) — Spec focuses on what (lane semantics encapsulation) not how (Python, typer, etc.)
  • ✅ Focused on user value and business needs — Reduces maintenance burden, improves migration path, enables future lane evolution
  • ✅ Written for non-technical stakeholders — Clear problem statement, desired outcome, user scenarios, success criteria
  • ✅ All mandatory sections completed — Overview, problem, outcome, scenarios, scope, requirements, constraints, success criteria, entities

Requirement Completeness

  • ✅ No [NEEDS CLARIFICATION] markers remain — All decisions resolved via discovery
  • ✅ Requirements are testable and unambiguous — Each FR/NFR has clear acceptance criteria; tests will verify behavior
  • ✅ Requirement types are separated (Functional / Non-Functional / Constraints) — FR-001 through FR-010, NFR-001 through NFR-006, C-001 through C-006 (amended)
  • ✅ IDs are unique across FR-###, NFR-###, and C-### entries — All requirements have unique IDs
  • ✅ All requirement rows include a non-empty Status value — All marked as "pending" prior to implementation
  • ✅ Non-functional requirements include measurable thresholds — 90%+ test coverage, 100% mypy compliance, baseline performance unchanged
  • ✅ Success criteria are measurable — Lane semantics fully encapsulated, 7 verified consumers migrated, 90%+ coverage, all tests passing, documentation updated
  • ✅ Success criteria are technology-agnostic — Focused on outcomes (encapsulation, migration, coverage) not implementation language/tools
  • ✅ All acceptance scenarios are defined — 5 user scenarios covering kanban display, runtime routing, recovery, agent assignment, merge validation
  • ✅ Edge cases are identified — Legacy string input, dict input, None sentinel, model/agent_profile fallback; backward compatibility during migration
  • ✅ Scope is clearly bounded — 7 verified consumers (amended from initial 15 candidates), 4 sequential slices, explicit exclusions (decision.py, subtask statuses, migration code)
  • ✅ Dependencies and assumptions identified — Lane enum authoritative, backward compatibility required, sequential slicing feasible, test suites comprehensive

Feature Readiness

  • ✅ All functional requirements have clear acceptance criteria — Each FR maps to a specific consumer or new component with clear migration direction
  • ✅ User scenarios cover primary flows — Scenarios cover status board, routing, recovery, agent resolution, merge validation
  • ✅ Feature meets measurable outcomes defined in Success Criteria — Encapsulation achieved, 7-consumer migration completion, coverage (NFR-001 to NFR-003), testing (NFR-005)
  • ✅ No implementation details leak into specification — No mention of Python dataclasses, pytest fixtures, specific function signatures beyond what's in problem/outcome

Overall Assessment

✅ SPECIFICATION APPROVED — Ready for planning phase

Summary (amended 2026-04-09)

  • 22 requirements defined (10 functional, 6 non-functional, 6 constraints)
  • 5 user scenarios cover all key consumer patterns
  • 4 implementation slices organized sequentially per Strangler Fig pattern
  • 7 verified consumers — scope reduced from 15 candidates during planning
  • 0 unresolved clarifications (all resolved in discovery)
  • 0 content quality issues found

Next Steps

1. Run /spec-kitty.plan to create task breakdown 2. Run /spec-kitty.tasks to finalize work package definitions 3. Proceed to implementation via /spec-kitty.implement