Agent Coordination

关于

Manage and synchronize diverse AI workers by applying advanced coordination strategies like parallel processing, sequential chaining, and multi-perspective swarms. This skill provides a structured framework for breaking down complex problems, assigning them to the most appropriate tools—distinguishing between knowledge-based Skills and execution-focused Task Agents—and implementing quality gates to ensure reliable outputs. It is essential for developers building scalable agentic workflows where maintainability, rigorous validation, and efficient resource utilization are required.

主要功能

• Structured context transfer and communication protocols for agent-to-agent handoffs
• Precise routing between instruction-based Skills and tool-using autonomous Task Agents
• Iterative loop management for progressive refinement until success criteria are met
• Multi-phase execution planning with integrated quality validation gates
• 3 GitHub stars
• Implementation of parallel, sequential, swarm, hybrid, and iterative coordination strategies

使用场景

• Diagnosing performance degradation through parallel profiling, code review, and benchmark testing
• Orchestrating complex refactoring tasks that require simultaneous code analysis, implementation, and automated testing
• Managing multi-phase development cycles from initial task decomposition to final architectural validation