Can I limit the number of agents running at once?

Yes, the orchestrator includes resource management features that allow you to set the maximum number of concurrent agents and track total token usage across the entire workflow.

How do sub-agents communicate with each other?

Sub-agents communicate through a file-based system. Each agent writes its results to a specific directory in the workspace, which the next agent in the chain reads as input.

When should I use orchestration instead of a single prompt?

Use orchestration for tasks that have independent subtasks, require specialized domain expertise for different components, or are too large for a single context window to handle reliably.

What is Multi-Agent Orchestration for Claude?

It is a specialized capability that allows Claude to delegate complex tasks to multiple specialized sub-agents, enabling them to work in parallel or in a specific sequence to solve large problems.

Multi-Agent Orchestration

Name: Multi-Agent Orchestration
Author: linus-mcmanamey

bylinus-mcmanamey

생산성 및 워크플로

Orchestrates complex AI tasks by managing specialized sub-agents through parallel and sequential execution workflows.

소개

Multi-Agent Orchestration empowers Claude to handle intricate projects by decomposing them into manageable subtasks assigned to specialized agents. By utilizing file-based communication and explicit input/output contracts, it ensures isolated state management and parallel processing for maximum efficiency. This skill is ideal for developers building complex data pipelines, multi-stage code analysis tools, or large-scale content creation workflows where reliability, fault isolation, and resource management are critical for success.

주요 기능

File-based inter-agent communication and state management
Parallel and sequential task execution patterns
Resource limits and token usage tracking for cost control
Fault isolation with automatic retries and error handling
0 GitHub stars
Context isolation to minimize overhead and prevent hallucinations

사용 사례

Coordinating multi-stage content creation involving research, drafting, and editing
Building automated data extraction, transformation, and analysis pipelines
Running parallel security, linting, and performance audits on large codebases

소개

주요 기능

File-based inter-agent communication and state management
Parallel and sequential task execution patterns
Resource limits and token usage tracking for cost control
Fault isolation with automatic retries and error handling
0 GitHub stars
Context isolation to minimize overhead and prevent hallucinations

사용 사례

Coordinating multi-stage content creation involving research, drafting, and editing
Building automated data extraction, transformation, and analysis pipelines
Running parallel security, linting, and performance audits on large codebases