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
Execution mode: explore → ultrathink → plan → track → execute → review → revise → deliver final output
Note:
- Get the current Date and Time (Beijing time)
- Create a temporary working directory
agent_tasks/{short task description}_yyyyddmmhh/as a temporary workspace (if a folder with this name already exists, make a new one to avoid overwriting existing materals) - When assigning tasks to subagents, specify their input and output files explicitly
- Each sub-agent must immediately save its processing results to a local file itself; do not return them to the main agent! The sub-agent should save them immediately itself; do not return them to the main agent!
- It is strictly prohibited to return the complete output of a sub-agent to the main agent; only return a status summary
- First local output file: multi-agent execution plan document
agent_tasks/{short task description}_yyyyddmmhh/plan.md - The main/mother agent must allow all Read + Write + Bash tools for all sub-agents
- Apply context engineering — main agent context is scarce
- The execution plan must include (at minimum) these four phases, each with multiple agents (in parallel when possible):
- Planning phase: information gathering and solution planning
- Implementation phase: execute and integrate task results
- Review and provide feedback on task results
- Based on review feedback, comprehensively revise the task results
- Do not ask for plan approval, just set up the tasks tracking and do it once the planning phase finished
- Complete automation of the entire process, from planning to execution to review and revision, without any human intervention