Swarm Orchestration

소개

This skill empowers Claude to manage complex, distributed AI systems by coordinating multiple specialized agents through the agentic-flow framework. It enables the implementation of sophisticated communication patterns—including mesh, hierarchical, and adaptive structures—to handle large-scale development tasks that exceed the capacity of a single agent. By automating task distribution, load balancing, and cross-agent memory sharing, it provides a robust infrastructure for building production-grade AI applications with built-in fault tolerance and real-time performance monitoring.

주요 기능

• Parallel and pipeline execution modes for optimized task processing
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• Built-in resiliency features including exponential backoff and task reassignment
• Dynamic topology management for mesh, hierarchical, and adaptive agent structures
• Shared memory coordination for seamless state management across the swarm
• Automatic load balancing based on real-time resource and queue metrics

사용 사례

• Building complex REST APIs by distributing design, coding, and testing across specialized agents
• Executing high-throughput data processing pipelines using parallel agent swarms
• Managing large-scale software migrations with automated coordination and quality review loops