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hive-mind-advanced

Coordinate multi-agent teams with queen-led architecture and consensus voting.

1|1|Updated Jan 6, 2026
Search Tags:#ai#multi-agent#memory#consensus#swarm#coordination
One-click install
npx skills add https://github.com/Geralt1983/Thanos --skill hive-mind-advanced-geralt1983
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hive-mind-advanced
Source: https://github.com/Geralt1983/Thanos/tree/main/.claude/skills/hive-mind-advanced
Command: npx skills add https://github.com/Geralt1983/Thanos --skill hive-mind-advanced-geralt1983

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines complex, multi-agent projects by providing a robust framework for coordinated action, decision-making, and shared knowledge management.

Core Features & Use Cases

  • Queen-Led Architecture: Orchestrate specialized worker agents under strategic guidance.
  • Consensus Mechanisms: Ensure reliable decision-making with majority, weighted, or Byzantine fault-tolerant voting.
  • Collective Memory: Maintain a persistent, shared knowledge base for all agents.
  • Use Case: Coordinate a team of AI agents to build a full-stack application, with a 'queen' agent assigning tasks to specialized 'worker' agents for frontend, backend, database, and testing.

Quick Start

Use the hive-mind-advanced skill to spawn a swarm to build a microservices architecture.

Frequently Asked Questions about hive-mind-advanced

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

FAQPage Schema
How does consensus work in a multi-agent AI swarm?▼

Consensus mechanisms for multi-agent decision-making include majority, weighted, or Byzantine fault-tolerant voting, ensuring reliable and fault-tolerant strategic decisions across the AI swarm.

What is the best way to distribute tasks across an AI agent swarm?▼

Persistent collective memory allows AI agents to maintain a shared knowledge base across complex projects, ensuring all coordinated workers access and contribute to the same distributed information.

When do I need Byzantine fault-tolerant voting for AI coordination?▼

Dynamic scaling for microservices architecture is supported by this coordination framework, allowing you to spawn a swarm that handles complex task distribution and fault-tolerant decision-making.

How do I spawn a swarm to build a microservices architecture?▼

A queen-led hierarchical architecture may not suit simple, single-agent tasks or projects without complex task distribution, as it introduces consensus mechanisms and collective memory overhead.

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