Hive Mind Advanced

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The Hive Mind Advanced skill implements a hierarchical multi-agent framework designed to handle high-level strategic objectives through a 'Queen-Worker' model. By leveraging a strategic coordinator to direct specialized agents—ranging from researchers and coders to testers and architects—it ensures cohesive execution of complex projects. The system features a persistent collective memory system using SQLite and LRU caching for shared knowledge across agents, alongside advanced consensus algorithms like Byzantine Fault Tolerance to guarantee robust decision-making. It is particularly effective for large-scale engineering tasks, repository analysis, and automated SPARC workflows where high solve rates and strategic planning are required.

Características Principales

• Persistent collective memory system with SQLite backend and intelligent association tracking.
• Deep integration with Claude Code and SPARC methodology for seamless automated development workflows.
• Queen-led hierarchical coordination with strategic, tactical, and adaptive coordinator types.
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• Automated task distribution and auto-scaling based on worker specialization and historical performance.
• Multi-layered consensus mechanisms including Majority, Weighted, and Byzantine Fault Tolerance.

Casos de Uso

• Implementing large-scale research and planning tasks that require collective intelligence and memory persistence.
• Coordinating complex full-stack application development across multiple specialized AI agents.
• Performing deep repository analysis and automated code reviews with high-level strategic oversight.