菜单
Queen-led collective-intelligence coordination with consensus mechanisms and persistent shared memory. Use when orchestrating a large swarm of agents under a lead coordinator, building consensus across agents, or maintaining durable cross-agent memory.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Compile a goal into a durable, file-backed agent loop — a .loop/<name>/ charter any coding agent (Claude Code, Codex, Gemini, Grok) can execute unattended. Use when the user wants to "build a loop", "design a loop", "run X continuously/24-7", "make an agent keep working on Y", automate recurring work, or convert a big backlog into autonomous iteration. Produces LOOP.md + state.json + backlog.md, ready for loop-runner.
Operate a fleet of durable agent loops under .loop/ — schedule which loop runs next, assign agents to roles (maker vs checker), enforce promotion gates from propose-only to write access, allocate budgets, detect stalled or dead loops, and roll up fleet status into one report. Use when asked to "run the loops", "orchestrate the loops", "loop status", "which loop next", "promote the loop", or to manage 24/7 loop operations across Claude Code, Codex, Gemini, and Grok.
Execute exactly one disciplined iteration of a designed loop from .loop/<name>/ (LOOP.md charter + state.json + journal.md). Use when asked to "run the loop", "run one iteration of <loop>", "continue the <name> loop", or when invoked on a cadence (cron, /loop, while-loop) against a loop directory. Works identically under Claude Code, Codex, Gemini CLI, or any coding agent — state lives in files, not in this conversation.
Generate high-quality AI Architect newsletters with latest AI news, research integration, and visual design. Use when creating newsletters, researching AI developments, synthesizing AI news for architects, or distributing intelligence reports. Covers AI model releases, research papers, tool launches, architecture patterns, production systems, and enterprise AI trends. Integrates with FrankX research hub and supports both daily briefs and weekly deep-dives.
Design and generate premium book covers using NB2 (Nano Banana 2 / Gemini 3.1 Flash Image) with deep thinking about book tension, emotion, and genre. Pulls from top book cover design principles (Chip Kidd, Peter Mendelsund, Coralie Bickford-Smith). Auto-activates when user requests book cover, cover art, cover design, or mentions generating a cover for a book project.
Build autonomous AI agents with the Claude Agent SDK — computer use, tool calling, MCP integration, and production best practices for Anthropic models. Use when writing agent code against the Claude/Anthropic SDK, wiring tools or MCP servers, or hardening an agent for production.
| name | hive-mind-advanced |
| description | Queen-led collective-intelligence coordination with consensus mechanisms and persistent shared memory. Use when orchestrating a large swarm of agents under a lead coordinator, building consensus across agents, or maintaining durable cross-agent memory. |
| version | 1.0.0 |
| category | coordination |
| tags | ["hive-mind","swarm","queen-worker","consensus","collective-intelligence","multi-agent","coordination"] |
| author | Claude Flow Team |
Master the advanced Hive Mind collective intelligence system for sophisticated multi-agent coordination using queen-led architecture, Byzantine consensus, and collective memory.
The Hive Mind system represents the pinnacle of multi-agent coordination in Claude Flow, implementing a queen-led hierarchical architecture where a strategic queen coordinator directs specialized worker agents through collective decision-making and shared memory.
Queen-Led Coordination
Worker Specialization
Collective Memory System
Majority Consensus Simple voting where the option with most votes wins.
Weighted Consensus Queen vote counts as 3x weight, providing strategic guidance.
Byzantine Fault Tolerance Requires 2/3 majority for decision approval, ensuring robust consensus even with faulty agents.
# Basic initialization
npx claude-flow hive-mind init
# Force reinitialize
npx claude-flow hive-mind init --force
# Custom configuration
npx claude-flow hive-mind init --config hive-config.json
# Basic spawn with objective
npx claude-flow hive-mind spawn "Build microservices architecture"
# Strategic queen type
npx claude-flow hive-mind spawn "Research AI patterns" --queen-type strategic
# Tactical queen with max workers
npx claude-flow hive-mind spawn "Implement API" --queen-type tactical --max-workers 12
# Adaptive queen with consensus
npx claude-flow hive-mind spawn "Optimize system" --queen-type adaptive --consensus byzantine
# Generate Claude Code commands
npx claude-flow hive-mind spawn "Build full-stack app" --claude
# Check hive mind status
npx claude-flow hive-mind status
# Get detailed metrics
npx claude-flow hive-mind metrics
# Monitor collective memory
npx claude-flow hive-mind memory
The full detail lives in references/ and loads only when needed:
references/workflows-and-config.md — advanced workflows, integration, performance, configuration, hooks & troubleshooting.references/api-and-examples.md — aPI reference & examples.swarm-orchestration: Basic swarm coordinationconsensus-mechanisms: Distributed decision makingmemory-systems: Advanced memory managementsparc-methodology: Structured development workflowgithub-integration: Repository coordinationSkill Version: 1.0.0 Last Updated: 2025-10-19 Maintained By: Claude Flow Team License: MIT