How does the Byzantine consensus mechanism work?

The Byzantine Fault Tolerance consensus requires a 2/3 supermajority for any decision, ensuring the hive mind remains robust even if individual agents provide faulty or inconsistent outputs.

What is a queen-led architecture in this skill?

It is a hierarchical structure where a 'Queen' agent acts as a strategic coordinator, managing objectives and delegating tactical execution to specialized 'Worker' agents.

Does the collective memory persist across sessions?

Yes, the system uses a persistent SQLite database with WAL mode and association tracking, allowing agents to retain knowledge and patterns across different tasks and sessions.

Which queen type should I choose for my project?

Strategic Queens are best for research and planning, Tactical Queens are optimized for implementation and execution, and Adaptive Queens are ideal for dynamic performance optimization.

Can this skill help with SWE-Bench tasks?

Yes, this architecture has demonstrated an 84.8% solve rate on SWE-Bench by utilizing parallel processing and specialized agent collaboration.

Advanced Hive Mind Coordination

Name: Advanced Hive Mind Coordination
Author: ellisapotheosis

byellisapotheosis

0•

コラボレーションツール

Orchestrates multi-agent swarms using queen-led hierarchical architecture and Byzantine consensus for complex development tasks.

The Advanced Hive Mind skill transforms Claude into a sophisticated collective intelligence system, enabling the orchestration of specialized agent swarms. By implementing a queen-led architecture—where strategic, tactical, or adaptive 'Queens' direct specialized workers—this skill ensures high-level alignment across researchers, coders, and testers. It features a robust persistent collective memory system and advanced consensus mechanisms, including Byzantine Fault Tolerance, to provide reliable decision-making and knowledge sharing for large-scale software engineering projects and autonomous repository management.

主な機能

01Hierarchical queen-led agent orchestration for strategic and tactical oversight

020 GitHub stars

03Byzantine Fault Tolerance and weighted consensus for robust decision-making

04Automated session management with checkpoints, progress tracking, and auto-scaling

05Persistent collective memory system with SQLite backend and LRU caching

06Intelligent task distribution based on agent specialization and performance metrics

ユースケース

01Orchestrating large-scale microservices development across multiple specialized agents

02Implementing complex TDD workflows using the SPARC methodology for high-reliability software

03Executing autonomous repository quality audits and multi-stage code reviews

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ellisapotheosis/project-nyra hive-mind-advanced

For use in Claude.ai and ChatGPT

Download Skill