agent-collective-intelligence-coordinator

Name: agent-collective-intelligence-coordinator
Availability: InStock
Author: ethansuttor

Coordinate distributed cognition across a swarm with memory synchronization and consensus.

Updated Apr 1, 2026

Search Tags:#multi-agent #consensus #distributed-systems #collective-intelligence #fault-tolerance #coordinate #memory-synchronization

Ready to run

npx skills add https://github.com/Ethansuttor/QUANTIFIED --skill agent-collective-intelligence-coordinator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-collective-intelligence-coordinator
Source: https://github.com/Ethansuttor/QUANTIFIED/tree/main/.gemini/skills/ruflo/.agents/skills/agent-collective-intelligence-coordinator
Command: npx skills add https://github.com/Ethansuttor/QUANTIFIED --skill agent-collective-intelligence-coordinator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Collective Intelligence Coordinator orchestrates distributed cognitive processes, synchronizes memory, and ensures coherent decision-making across all agents in the hive mind.

Core Features & Use Cases

Memory synchronization: writes and propagates global state to shared memory, enabling consistent views across agents.
Consensus building: aggregates inputs, applies weighted voting, and resolves conflicts to reach robust decisions.
Cognitive load balancing: monitors agent capacity and redistributes tasks to maintain optimal performance.
Knowledge integration: captures insights, patterns, and decisions for rapid knowledge sharing and future reuse.
Use Case: In a multi-agent logistics scenario, coordinate route planning and task assignment by aligning memory and decisions across the fleet.

Quick Start

Deploy the coordinator to initialize hive state and begin coordinating distributed cognition.

Frequently Asked Questions about agent-collective-intelligence-coordinator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How does memory synchronization work in a multi-agent system?▼

Memory synchronization in a multi-agent system writes and propagates global state to shared memory, enabling all agents to maintain a consistent view. This ensures coherent decision-making and real-time updates across the distributed swarm.

How do I build consensus across dynamic topologies with distributed agents?▼

To build consensus across dynamic topologies, aggregate inputs from distributed agents and apply weighted voting. The coordinator resolves conflicts and integrates knowledge to reach robust, fault-tolerant decisions across the network.

Can I use this for multi-agent cooperative planning in logistics?▼

Yes, you can use this for multi-agent cooperative planning in logistics. It coordinates route planning and task assignment by aligning memory and decisions across the fleet, ensuring synchronized operations and optimal load balancing.

What is cognitive load balancing in distributed systems?▼

Cognitive load balancing in distributed systems monitors individual agent capacity and redistributes tasks accordingly. This maintains optimal performance across the swarm by preventing overload and ensuring efficient task execution.

How do I achieve fault-tolerant consensus when agents drop offline?▼

Fault-tolerant consensus handles agent failures by applying robust conflict resolution and weighted voting. The coordinator ensures that dynamic topology changes or offline agents do not disrupt the overall memory synchronization and decision-making.