What metrics should I track in an orchestrator system?

Essential metrics include agent status, context usage per agent, total costs, tool call frequency, result verification, and total execution time.

Can Claude Code subagents spawn other subagents?

No, native Claude Code subagents cannot spawn others. This skill is specifically designed for building external orchestrator systems using the Claude Agent SDK with custom MCP tools.

What is the O-Agent pattern?

The O-Agent (Orchestrator Agent) pattern involves a central agent that coordinates a fleet of specialized sub-agents. The orchestrator focuses on planning and monitoring while delegating execution to specialized templates.

Why is context protection important in multi-agent design?

It prevents the orchestrator's context window from being saturated with implementation details, ensuring it remains focused on high-level strategy and coordination.

Orchestrator Agent System Design

Name: Orchestrator Agent System Design
Author: melodic-software

bymelodic-software

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生产力与工作流

Architect multi-agent fleet management systems using the O-Agent pattern and specialized agent templates.

关于

This skill provides a structured framework for designing complex multi-agent orchestrator systems within the Claude ecosystem. It guides developers through defining orchestration scopes, creating specialized agent templates such as Scouts and Builders, and implementing the Single Interface Pattern to manage agent lifecycles effectively. By focusing on context protection and observability, it ensures that high-level orchestrators remain efficient while delegating detailed execution to transient, specialized sub-agents via the Claude Agent SDK.

主要功能

Context protection strategies for multi-agent workflows
Specialized agent template definitions (Scout, Builder, Reviewer)
Observability layer design for tracking token usage and performance
1 GitHub stars
Lifecycle management patterns (Create, Command, Monitor, Delete)
Standardized O-Agent architecture framework

使用场景

Building scalable agent fleets for complex software engineering tasks
Designing unified interfaces for autonomous agent coordination
Implementing resource-efficient multi-agent workflows using Claude Agent SDK

关于

主要功能

Context protection strategies for multi-agent workflows
Specialized agent template definitions (Scout, Builder, Reviewer)
Observability layer design for tracking token usage and performance
1 GitHub stars
Lifecycle management patterns (Create, Command, Monitor, Delete)
Standardized O-Agent architecture framework

使用场景

Building scalable agent fleets for complex software engineering tasks
Designing unified interfaces for autonomous agent coordination
Implementing resource-efficient multi-agent workflows using Claude Agent SDK