Dev Requirements

Run the requirements phases for configured AI docs features. Before making docs or code changes, propose the concrete plan for this phase and wait for user approval unless the user already approved the exact phase plan.

Phase Contract

1. Run npx ai-devkit@latest lint before phase work.
2. If working on a named feature, run npx ai-devkit@latest lint --feature <name>.
3. If lint fails because project docs are not initialized, run npx ai-devkit@latest init -a -e claude --built-in --yes, then rerun lint.
4. Read existing configured AI docs and keep diffs minimal. Do not assume docs/ai; it is only the default docs directory.
5. Ask until every material product, UX, architecture, scope, validation, rollout, contradiction, trade-off, or open question is answered, explicitly deferred, or accepted as a named assumption.
6. Ask one decision at a time, with why it matters, 2-3 viable options when useful, and a recommended answer.
7. Do not create, update, approve, or transition past requirements while material open questions remain.
8. Restate the shared understanding before updating docs or suggesting the next phase.
9. If parent dev-lifecycle established usable task tracing, emit requirements phase, clarification/progress, blocker/open-question, and next-step events per task.

New Requirement

Use for Phase 1 or /new-requirement.

1. Search AI DevKit memory for relevant past features or conventions with npx ai-devkit@latest memory search --query "<feature/topic>". If unfamiliar, check the memory skill first.
2. Clarify feature name in kebab-case, problem, target users, key user stories, scope, non-goals, success criteria, UX, constraints, rollout, and validation.
3. Brainstorm alternatives to confirm this is the right thing to build. Present 2-3 approaches with one-line trade-offs and a recommendation.
4. Store reusable answers after clarification.
5. Use dev-worktree to create or resume the active feature workspace with normalized <name>.
6. Initialize docs with npx ai-devkit@latest docs init-feature <name> from the active worktree/repository and fill the returned paths. Treat those returned paths as authoritative because paths.docs may customize the docs directory.
7. Fill requirements doc: problem statement, goals/non-goals, user stories, success criteria, constraints, open questions.
8. Fill design doc: architecture with mermaid diagram, data models, APIs, components, design decisions, security/performance.
9. Fill testing doc: derive scenarios from requirements success criteria and design components/edge cases as - [ ] checkboxes, plus mocks/fixtures and coverage target.
10. If task tracing is available, record draft progress and next review step per task.
11. Use dev-planning to create the initial task plan from the requirements, design, and testing docs.

Next: dev-requirements review, then dev-design.

Review Requirements

Use for Phase 2.

1. Run npx ai-devkit@latest lint --feature <name> and review the requirements doc path it validates. If manual path resolution is unavoidable, first resolve .ai-devkit.json paths.docs, falling back to docs/ai.
2. Check it against the README.md template.
3. Search memory for relevant conventions or past patterns.
4. Review each section: problem statement, goals/non-goals, success criteria, user stories, constraints, open questions, template compliance.
5. Resolve every gap, contradiction, ambiguity, open question, or implicit assumption.
6. Brainstorm alternatives for key decisions and trade-offs before accepting the first approach.
7. Update the requirements doc with clarified answers and chosen options.
8. Store reusable clarifications in memory.
9. If task tracing is available, record validation progress, next step, or blockers per task.
10. Summarize what was validated, what was updated, and remaining open items.

Next: dev-design. If fundamental gaps remain unresolvable, return to New Requirement.