Multi-Agent Orchestration FAQs

Question 1

Does this skill support the native Agent Teams feature?

Accepted Answer

Yes, it specifically includes patterns for CC 2.1.33+ Agent Teams, including mesh topology, peer-to-peer messaging via SendMessage, and shared task list management.

Question 2

Is using multiple agents more expensive?

Accepted Answer

Yes, multi-agent workflows typically consume more tokens because each agent maintains its own context. However, this is often offset by the higher quality of results and reduced manual rework for complex tasks.

Question 3

How does this skill handle conflicting agent outputs?

Accepted Answer

It provides two primary methods: confidence-based resolution, where the agent with the highest self-reported confidence wins, and LLM arbitration, where a separate model reviews the conflict and decides on the best path forward.

Question 4

What is multi-agent orchestration in Claude Code?

Accepted Answer

It is a set of architectural patterns that allows Claude to spawn, manage, and synthesize results from multiple specialized subagents to handle tasks too complex for a single agent session.

Question 5

When should I use a Supervisor pattern vs. a Fan-Out pattern?

Accepted Answer

Use Fan-Out for independent tasks that can run in parallel, such as checking a file for three different types of bugs. Use the Supervisor pattern for workflows that require planning, routing, and sequential dependencies.

Multi-Agent Orchestration

Multi-Agent Orchestration

Key Features

Use Cases

Key Features

Use Cases