hive-mind-advanced
About
This skill implements a queen-led multi-agent coordination system with consensus mechanisms and persistent memory. Use it when you need to orchestrate sophisticated workflows across specialized AI agents for complex tasks. It provides hierarchical control, collective decision-making, and shared memory for advanced swarm intelligence applications.
Quick Install
Claude Code
Recommendednpx skills add natea/fitfinder -a claude-code/plugin add https://github.com/natea/fitfindergit clone https://github.com/natea/fitfinder.git ~/.claude/skills/hive-mind-advancedCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the hive-mind-advanced skill?
hive-mind-advanced is a Claude Skill by natea. Skills package instructions and resources that Claude loads on demand, so Claude can perform hive-mind-advanced-related tasks without extra prompting.
How do I install hive-mind-advanced?
Use the install commands on this page: add hive-mind-advanced to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does hive-mind-advanced belong to?
hive-mind-advanced is in the coordination category, tagged hive-mind, swarm, queen-worker, consensus, collective-intelligence and multi-agent.
Is hive-mind-advanced free to use?
Yes. hive-mind-advanced is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
Related Skills
This skill enables queen-led multi-agent coordination with consensus mechanisms and persistent memory for complex collective intelligence tasks. Use it when you need sophisticated swarm coordination where a central queen agent orchestrates specialized workers through Byzantine consensus. It provides hierarchical architecture patterns for managing high-level objectives across distributed agent systems.
This skill enables queen-led multi-agent coordination with consensus mechanisms and persistent memory for complex distributed tasks. It's ideal for developers building sophisticated swarm systems requiring hierarchical orchestration and collective decision-making. Key features include Byzantine consensus, strategic queen coordination, and shared memory across specialized worker agents.
This Claude Skill provides standardized JSON schemas for the Ralph event-driven messaging system. It defines the core message structure, ID format, and specific message types like `task_assign` for coordinating development workflows. Use it to ensure consistent and structured communication between different roles (e.g., PM, Developer, QA) within the system.
This skill provides a queen-led multi-agent coordination system with consensus mechanisms and persistent memory for complex collective intelligence tasks. It enables hierarchical agent orchestration where strategic queens direct specialized workers through Byzantine consensus protocols. Use it when building sophisticated multi-agent systems requiring coordinated decision-making and shared memory.