a5c-ai - Search for files and code related to the task description
- Identify existing patterns that the spec should follow
- Map the impact area of proposed changes
- Generate SEARCH-CONTEXT.md with findings
2. Clarifying Question Resolution
- Identify ambiguities in the task description
- Generate targeted clarifying questions
- Resolve assumptions with explicit choices
- Document decisions for traceability
3. Spec Generation
- Structure specs with: title, goals, tasks, acceptance criteria
- Decompose into atomic, testable tasks
- Define dependency graphs between tasks
- Include rollback plans and risk assessments
- Generate SPEC.md document
4. Iterative Refinement
- Accept plan-reviewer feedback
- Apply revision requests by severity
- Refine task decomposition
- Update acceptance criteria
Spec Structure
# Specification: [Title]
## Goals
- [ ] Goal 1 with measurable outcome
## Tasks
### Task 1: [Description]
- **Acceptance Criteria**: ...
- **Test Strategy**: RED->GREEN->REFACTOR
- **Complexity**: low/medium/high
- **Dependencies**: [task-ids]
## Assumptions
- Assumption 1 (validated: yes/no)
## Risks
- Risk 1: Mitigation strategy