Collective Intelligence Coordinator
Skill Verified ActiveAgent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinator
To enable sophisticated collaboration and decision-making among multiple AI agents by providing a central coordination layer for memory, consensus, and task management.
Features
- Orchestrates distributed cognitive processes
- Synchronizes collective memory across agents
- Builds consensus through weighted voting and fault tolerance
- Manages cognitive load and task redistribution
- Integrates and shares knowledge graph insights
Use Cases
- Coordinating complex, multi-agent workflows
- Enabling agents to learn from collective experience
- Ensuring coherent decision-making in agent swarms
- Managing distributed AI systems with shared memory
Non-Goals
- Acting as a single-agent task executor
- Replacing individual agent's core functionalities
- Managing low-level network communication between agents
Workflow
- Initialize hive status and collective memory.
- Continuously synchronize collective memory and state.
- Aggregate inputs, apply voting, and resolve conflicts for consensus.
- Monitor and balance cognitive load among agents.
- Share integrated knowledge and insights into memory.
Practices
- Memory synchronization
- Consensus building
- Cognitive load balancing
- Knowledge integration
Prerequisites
- Claude Code environment
- MCP server availability
- JavaScript runtime
Installation
npx skills add ruvnet/rufloRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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