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hive-mind-advanced

natea
Updated 1 month ago
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Otherhive-mindswarmqueen-workerconsensuscollective-intelligencemulti-agentcoordination

About

This skill implements a queen-led multi-agent coordination system with consensus mechanisms and persistent memory. Use it when you need to orchestrate sophisticated workflows across specialized AI agents for complex tasks. It provides hierarchical control, collective decision-making, and shared memory for advanced swarm intelligence applications.

Quick Install

Claude Code

Recommended
Primary
npx skills add natea/fitfinder -a claude-code
Plugin CommandAlternative
/plugin add https://github.com/natea/fitfinder
Git CloneAlternative
git clone https://github.com/natea/fitfinder.git ~/.claude/skills/hive-mind-advanced

Copy and paste this command in Claude Code to install this skill

GitHub Repository

natea/fitfinder
Path: .claude/skills/hive-mind-advanced
0

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hive-mind-advanced

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This skill enables queen-led multi-agent coordination with consensus mechanisms and persistent memory for complex collective intelligence tasks. Use it when you need sophisticated swarm coordination where a central queen agent orchestrates specialized workers through Byzantine consensus. It provides hierarchical architecture patterns for managing high-level objectives across distributed agent systems.

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This skill enables queen-led multi-agent coordination with consensus mechanisms and persistent memory for complex distributed tasks. It's ideal for developers building sophisticated swarm systems requiring hierarchical orchestration and collective decision-making. Key features include Byzantine consensus, strategic queen coordination, and shared memory across specialized worker agents.

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This skill provides a queen-led multi-agent coordination system with consensus mechanisms and persistent memory for complex collective intelligence tasks. It enables hierarchical agent orchestration where strategic queens direct specialized workers through Byzantine consensus protocols. Use it when building sophisticated multi-agent systems requiring coordinated decision-making and shared memory.

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