---
description: Use subagents to gather context, then ask clarifying questions
subagent: fanout
---

Based on our discussion and my intent, launch focused context-gathering subagents before planning or implementing.

Use `scout` to inspect the relevant local files, existing patterns, constraints, tests, and likely integration points. Use `researcher` when external docs, recent sources, ecosystem context, or primary evidence would improve the answer.

Give each subagent a specific meta prompt. Ask them to return concise findings plus the remaining clarification questions that matter for implementation confidence.

After they return, synthesize what we know and use `contact_supervisor` with `reason: "interview_request"` to ask the parent/supervisor the unresolved questions needed to reach a shared understanding. Include an `interview` object with a concise title and explicit questions, then wait for the structured JSON reply. If no supervisor channel is available, report that limitation instead of inventing answers.

$@