clab-plan

Multi-agent research session planning is automated by transforming a given topic into structured session documents and executable prompts. The process orchestrates context assembly, planner agent execution, user checkpointing, and prompter agent execution to produce ready-to-use plans.

Generating prompts for multi-agent research is handled by a prompter agent execution phase that creates self-contained, structured prompt files. These files are ready for immediate execution by assigned agents based on the generated session plan.

Yes, clab-plan handles various research session formats including compute, workshop, and panel. It uses robust argument parsing and validation to ensure the generated session plans and prompts match the requested format.

Automated workflow orchestration integrates user checkpointing between the planner agent and prompter agent execution phases. This allows you to review the context assembly and session plan before the final prompt files are generated.

To start automated research session planning, you need to provide a research topic and the desired session format. The system takes these inputs to execute the planner agent and generate the comprehensive session plan and agent prompts.

Multi-agent session planning generates detailed documents that include objectives, wave structures, agent assignments, and gate conditions. This ensures the research workflow is fully structured and orchestrated for the collaborating agents.