Agent Adaptive Coordinator
ruvnet/rufloAn adaptive coordinator manages groups of AI agents by changing how they work together. It watches the current workload and performance in real time. Then it adjusts the team structure to keep everything running smoothly.
This system uses self-organizing patterns. It learns from past tasks to predict future needs. It can switch between different group layouts like a hierarchy, a mesh, or a ring. This helps agents communicate and complete tasks faster.
Teams that use many AI agents benefit the most. The coordinator automatically balances work and routes tasks to the right agents. It improves over time by learning what works best. This means less manual tuning and better results.
Add Agent Adaptive Coordinator skill to your workflow
Global
mkdir -p ~/.claude/skills/agent-adaptive-coordinatorProject
mkdir -p .claude/skills/agent-adaptive-coordinatorSource Repository
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