Multi-Agent Plan Coordinator FAQs

Question 1

What is the recommended number of workers?

Accepted Answer

The coordination skill works most effectively with 2 to 6 workers. This range provides a significant speed boost while maintaining manageable communication overhead and resource usage.

Question 2

Does the tool handle dependencies between parallel tasks?

Accepted Answer

Yes, the coordinator automatically detects file dependencies, type requirements, and explicit markers in your plan to ensure that workers wait for foundational elements before proceeding.

Question 3

How do workers communicate with each other?

Accepted Answer

Workers communicate via established contracts and messaging protocols. They signal when dependencies are ready and check for updates to ensure shared interfaces remain consistent throughout the execution.

Question 4

Can I mix different types of agents in one plan?

Accepted Answer

Absolutely. You can define a team with various roles, such as three implementation 'workers' and one 'code-reviewer' to ensure high-quality output across the parallel tracks.

Question 5

How does coordination differ from using standard subagents?

Accepted Answer

While standard subagents typically run tasks sequentially, the coordination skill uses the specialized `coordinate` tool to run multiple workers in parallel, drastically reducing the time required for large-scale tasks.

Multi-Agent Plan Coordinator

Key Features

Use Cases

Multi-Agent Plan Coordinator

Key Features

Use Cases