Can I resume an interrupted multi-agent session?

Yes, the Hive Mind Advanced skill includes advanced session management with automatic checkpointing and state persistence, allowing you to pause, list, and resume any session using its unique ID.

Does this skill support auto-scaling of AI workers?

Yes, it features configurable auto-scaling that adjusts the number of worker agents (up to a defined maximum) based on the volume of pending tasks and current system load.

What is a Queen-Led architecture in AI swarms?

It is a hierarchical coordination system where a central coordinator agent (the Queen) directs specialized worker agents (Researchers, Coders, Analysts), ensuring high-level strategic alignment and efficient task delegation across the entire swarm.

When should I use Byzantine consensus instead of Majority?

Byzantine consensus should be used for critical architectural or security decisions where a 2/3 supermajority is required to ensure robustness, whereas Majority is suitable for simpler, democratic task-level decisions.

How does the collective memory system work?

The system uses a persistent SQLite database with WAL mode and LRU caching to share knowledge, context, and task results across all agents in the hive, allowing workers to learn from each other's findings in real-time.

Hive Mind Advanced: Multi-Agent Coordination Claude Skill

The Hive Mind Advanced skill transforms Claude into a strategic coordinator capable of managing specialized worker agents through a unified hierarchical system. By implementing Byzantine consensus mechanisms and a persistent SQLite-backed collective memory, it ensures robust decision-making and shared knowledge across large-scale projects. This skill provides the infrastructure for autonomous agent swarms to work in harmony, significantly increasing execution speed and accuracy while reducing token overhead through shared context. It is ideal for developers building complex microservices, performing deep repository audits, or managing multi-stage AI workflows.

主な機能

011 GitHub stars

02Advanced Session Management: Checkpointing, progress tracking, and process persistence for long-running workflows.

03Collective Memory: SQLite-backed persistent shared knowledge base with LRU caching and access tracking.

04Robust Consensus: Decision-making via Majority, Weighted, or Byzantine Fault Tolerance mechanisms.

05Queen-Led Architecture: Strategic, tactical, and adaptive coordinator roles for hierarchical agent management.

06Intelligent Task Distribution: Automatic worker assignment based on specialization, load, and historical performance.

ユースケース

01Complex Software Architecture: Coordinating specialized agents for microservices design and implementation.

02Automated Repository Audits: Scaling analysis across large codebases with dedicated security and performance agents.

03Multi-Stage SPARC Workflows: Orchestrating the full lifecycle from specification to TDD and code review.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ricable/ultimate-ai-agent hive-mind-advanced

For use in Claude.ai and ChatGPT

主な機能

011 GitHub stars

02Advanced Session Management: Checkpointing, progress tracking, and process persistence for long-running workflows.

03Collective Memory: SQLite-backed persistent shared knowledge base with LRU caching and access tracking.

04Robust Consensus: Decision-making via Majority, Weighted, or Byzantine Fault Tolerance mechanisms.

05Queen-Led Architecture: Strategic, tactical, and adaptive coordinator roles for hierarchical agent management.

06Intelligent Task Distribution: Automatic worker assignment based on specialization, load, and historical performance.

ユースケース

01Complex Software Architecture: Coordinating specialized agents for microservices design and implementation.

02Automated Repository Audits: Scaling analysis across large codebases with dedicated security and performance agents.

03Multi-Stage SPARC Workflows: Orchestrating the full lifecycle from specification to TDD and code review.