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description: Use subagents to gather context, then ask clarifying questions
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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 `interview` tool to ask me the unresolved questions needed to reach a shared understanding.

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