---
description: Use subagents to gather context, then ask clarifying questions
argument-hint: "[request]"
---

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 the available clarification tool (`ask_question` in pi) to ask only unresolved questions that affect scope, acceptance, constraints, or implementation.

${ARGUMENTS:-infer the request from the current conversation and repository context}