Coordinate complex tasks across multiple agents through planning, execution, review, and revision. Agents save their work to local files and return status summaries, helping the main agent manage limited context while delivering the final result.
This skill should be used when the user asks to "/do-agent", asks for "Execute complex tasks using multi-agent architecture with context protection", or needs the workflow previously provided by the /do-agent slash command.
Run score Not tested
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Explore and ultrathink to design a systematic multi-agent, multi-stage (up to 10 subagents in parallel in each stage) execution plan to accomplish: $ARGUMENTS
执行模式：explore → ultrathink → plan → track → execute → review → revise → deliver final output
Note:
agent_tasks/{short task description}_yyyyddmmhh/ 作为临时工作空间（if a folder with this name already exists, make a new one to avoid overwriting existing materals）agent_tasks/{short task description}_yyyyddmmhh/plan.mdNo reviews yet. Tell others what you thought.
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Turn a broad research idea into clear, testable questions. Compare familiar and less conventional approaches, structure the selected question around its population and methods, and assess variables, feasibility, and potential theoretical contributions.
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Simulate academic peer review through five reviewer roles tailored to the paper's field. Receive separate critiques, an editorial decision, and a prioritized revision roadmap, or check whether a revised manuscript addresses earlier comments.