# Specification Quality Checklist: Optimize Agent-Computer Interface with Anthropic Patterns

**Purpose**: Validate specification completeness and quality before proceeding to planning
**Created**: 2025-12-11
**Feature**: [spec.md](../spec.md)

## Content Quality

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

## Requirement Completeness

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

## Feature Readiness

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

## Validation Notes

**Content Quality Assessment**:
- ✅ Specification avoids implementation details (no mention of Makefile.toml structure, skill file formats, or code)
- ✅ Focused on agent experience and development velocity improvements
- ✅ Written in terms of "AI agents need", "tools should", "system must" (stakeholder language)
- ✅ All mandatory sections (User Scenarios, Requirements, Success Criteria) are complete

**Requirement Completeness Assessment**:
- ✅ Zero [NEEDS CLARIFICATION] markers - all requirements are concrete
- ✅ Requirements are testable (e.g., "agents select correct tool 90% of the time")
- ✅ Success criteria include specific metrics (90%, 95%, 60% reduction, 40% improvement)
- ✅ Success criteria avoid technology specifics (no mention of toml, yaml, markdown parsers)
- ✅ Acceptance scenarios follow Given-When-Then format with clear conditions
- ✅ Edge cases identify 5 boundary conditions (quality gates fail, non-ggen code, doc divergence, poka-yoke recovery, prohibited patterns)
- ✅ Scope is bounded to ACI optimization (doesn't expand to full development workflow redesign)
- ✅ Assumptions section explicitly lists 6 dependencies

**Feature Readiness Assessment**:
- ✅ All 10 functional requirements map to acceptance scenarios in user stories
- ✅ Three user stories (P1: docs, P2: poka-yoke, P3: constitution skill) cover independent slices
- ✅ Eight success criteria provide measurable outcomes (accuracy %, time reduction %, defect reduction %)
- ✅ No leaks detected - constitution, Makefile.toml, skill syntax remain at conceptual level

## Result

**Status**: ✅ PASSED - Specification is ready for `/speckit.clarify` or `/speckit.plan`

All quality gates passed. No clarifications needed. Specification demonstrates:
- Clear user value (agent effectiveness, velocity, quality)
- Measurable success criteria (8 quantified outcomes)
- Independent, testable user stories (3 priorities)
- Well-defined scope and assumptions

Ready to proceed to planning phase.
