How does the Collective Memory system benefit my project?

Collective Memory provides a shared, persistent knowledge base (backed by SQLite) that allows all agents to access historical insights, context, and cross-session data without losing track of progress.

Which consensus mechanisms are supported?

Hive Mind Advanced supports Majority voting, Weighted consensus (where the Queen has 3x weight), and Byzantine Fault Tolerance for high-reliability decision-making.

How does this improve performance compared to single-agent tasks?

It provides up to 4.4x speed improvements through parallel processing and has been shown to reduce token consumption by over 32% in complex scenarios.

What is a Queen agent in the Hive Mind system?

A Queen is a high-level coordinator agent that manages strategic objectives, orchestrates tactical workers, and facilitates decision-making across the agent swarm.

Does this skill work with the SPARC methodology?

Yes, it includes built-in integration for SPARC workflows, allowing you to spawn specification, architecture, and testing agents automatically.

Hive Mind Advanced

Name: Hive Mind Advanced
Author: ellisapotheosis

byellisapotheosis

0•

Collaboration Tools

Orchestrates sophisticated multi-agent swarms using queen-led architectures and persistent collective memory systems.

Hive Mind Advanced is a high-level coordination skill designed for Claude Code that enables the management of complex, multi-agent workflows through a hierarchical 'queen-worker' model. By implementing robust consensus mechanisms—including Byzantine Fault Tolerance—and a persistent SQLite-backed collective memory, it allows specialized AI agents to collaborate on large-scale software projects with strategic alignment. This skill is essential for developers who need to automate complex architectural planning, distributed implementation tasks, and rigorous multi-stage code reviews while maintaining context across long-running sessions.

Key Features

01Hierarchical Queen-Led Coordination for strategic and tactical oversight

02Intelligent Task Distribution based on agent specialization and performance

03Persistent Collective Memory with SQLite storage and LRU caching

04Seamless integration with Claude Code and SPARC methodology

05Multi-algorithm consensus (Majority, Weighted, and Byzantine)

060 GitHub stars

Use Cases

01Managing high-stakes technical decisions through weighted voting and consensus building

02Maintaining deep project context across long-running development and research sessions

03Orchestrating a swarm of specialized agents to build complex microservices architectures

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