# When Coordinating Collective Intelligence Use Hive Mind > When Coordinating Collective Intelligence Use Hive Mind - Skill: `dnyoussef/when-coordinating-collective-intelligence-use-hive-mind` (Agent Skill, multi-file: 5 files) - Install (CLI): `npx skillmds@latest add dnyoussef/when-coordinating-collective-intelligence-use-hive-mind` - Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/when-coordinating-collective-intelligence-use-hive-mind/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: DNYoussef (https://skillmd.com/u/dnyoussef) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/dnyoussef/when-coordinating-collective-intelligence-use-hive-mind --- /*============================================================================*/ /* WHEN-COORDINATING-COLLECTIVE-INTELLIGENCE-USE-HIVE-MIND SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: when-coordinating-collective-intelligence-use-hive-mind version: 1.0.0 description: | [assert|neutral] Advanced Hive Mind collective intelligence for queen-led multi-agent coordination with consensus and memory [ground:given] [conf:0.95] [state:confirmed] category: coordination tags: - hive-mind - collective-intelligence - consensus - queen-coordinator - distributed-memory author: system cognitive_frame: primary: evidential goal_analysis: first_order: "Execute when-coordinating-collective-intelligence-use-hive-mind workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic coordination processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "when-coordinating-collective-intelligence-use-hive-mind", category: "coordination", version: "1.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S1 COGNITIVE FRAME */ /*----------------------------------------------------------------------------*/ [define|neutral] COGNITIVE_FRAME := { frame: "Evidential", source: "Turkish", force: "How do you know?" } [ground:cognitive-science] [conf:0.92] [state:confirmed] ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. /*----------------------------------------------------------------------------*/ /* S2 TRIGGER CONDITIONS */ /*----------------------------------------------------------------------------*/ [define|neutral] TRIGGER_POSITIVE := { keywords: ["when-coordinating-collective-intelligence-use-hive-mind", "coordination", "workflow"], context: "user needs when-coordinating-collective-intelligence-use-hive-mind capability" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S3 CORE CONTENT */ /*----------------------------------------------------------------------------*/ # Hive Mind Collective Intelligence SOP ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. ## Overview Implement advanced Hive Mind collective intelligence system with queen-led coordination, consensus mechanisms, persistent memory, and distributed decision-making. ## Agents & Responsibilities ### collective-intelligence-coordinator **Role:** Coordinate collective intelligence processing **Responsibilities:** - Aggregate agent insights - Synthesize collective knowledge - Identify patterns across agents - Facilitate group learning ### queen-coordinator **Role:** Lead and direct hive activities **Responsibilities:** - Set strategic direction - Prioritize tasks - Resolve conflicts - Make final decisions ### swarm-memory-manager **Role:** Manage shared memory and knowledge base **Responsibilities:** - Store collective memory - Synchronize agent states - Maintain knowledge graph - Ensure data consistency ## Phase 1: Initialize Hive Mind ### Objective Establish Hive Mind infrastructure with queen and collective intelligence systems. ### Scripts ```bash # Initialize Hive Mind npx claude-flow@alpha hive init \ --queen-enabled \ --collective-intelligence \ --consensus-mechanism "proof-of-intelligence" \ --max-agents 20 # Spawn queen coordinator npx claude-flow@alpha agent spawn \ --type coordinator \ --role "queen-coordinator" \ --capabilities "strategic-direction,conflict-resolution,final-decisions" # Spawn collective intelligence coordinator npx claude-flow@alpha agent spawn \ --type coordinator \ --role "collective-intelligence-coordinator" \ --capabilities "insight-aggregation,pattern-recognition,group-learning" # Spawn memory manager npx claude-flow@alpha agent spawn \ --type coordinator \ --role "swarm-memory-manager" \ --capabilities "memory-storage,state-sync,knowledge-graph" # Initialize shared memory npx claude-flow@alpha memory init \ --type "distributed" \ --replication 3 \ --consistency "strong" # Verify Hive Mind status npx claude-flow@alpha hive status --show-queen --show-collective ``` ### Hive Mind Architecture **Queen Layer:** ``` Queen Coordinator ↓ Strategic Direction ↓ Task Prioritization ↓ Final Decisions ``` **Collective Intelligence Layer:** ``` Agent 1 → Insights →┐ Agent 2 → Insights →├─ Collective Intelligence → Synthesis Agent 3 → Insights →│ Agent N → Insights →┘ ``` **Memory Layer:** ``` Local Memory ←→ Swarm Memory Manager ←→ Distributed Memory Store ``` ### Memory Patterns ```bash # Store hive configuration npx claude-flow@alpha memory store \ --key "hive/config" \ --value '{ "queenEnabled": true, "consensusMechanism": "proof-of-intelligence", "maxAgents": 20, "initialized": "'$(date -Iseconds)'" }' # Initialize collective memory npx claude-flow@alpha memory store \ --key "hive/collective/insights" \ --value '[]' npx claude-flow@alpha memory store \ --key "hive/collective/patterns" \ --value '{}' ``` ## Phase 2: Coordinate Agents ### Objective Queen-led coordination of agent activities and task assignments. ### Scripts ```bash # Spawn worker agents for i in {1..5}; do npx claude-flow@alpha agent spawn \ --type researcher \ --hive-member \ --report-to queen done for i in {1..5}; do npx claude-flow@alpha agent spawn \ --type coder \ --hive-member \ --report-to queen done # Queen assigns tasks npx claude-flow@alpha hive assign \ --task "Analyze codebase" \ --agents "researcher-*" \ --priority high npx claude-flow@alpha hive assign \ --task "Implement features" \ --agents "coder-*" \ --priority high \ --depends-on "Analyze codebase" # Monitor coordination npx claude-flow@alpha hive monitor \ --show-assignments \ --show-progress \ --interval 10 # Queen reviews progress npx claude-flow@alpha hive review \ --by queen \ --output review-report.json ``` ### Queen Decision Process ```bash #!/bin/bash # queen-decision-process.sh /*----------------------------------------------------------------------------*/ /* S4 SUCCESS CRITERIA */ /*----------------------------------------------------------------------------*/ [define|neutral] SUCCESS_CRITERIA := { primary: "Skill execution completes successfully", quality: "Output meets quality thresholds", verification: "Results validated against requirements" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S5 MCP INTEGRATION */ /*----------------------------------------------------------------------------*/ [define|neutral] MCP_INTEGRATION := { memory_mcp: "Store execution results and patterns", tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"] } [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S6 MEMORY NAMESPACE */ /*----------------------------------------------------------------------------*/ [define|neutral] MEMORY_NAMESPACE := { pattern: "skills/coordination/when-coordinating-collective-intelligence-use-hive-mind/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed] [define|neutral] MEMORY_TAGGING := { WHO: "when-coordinating-collective-intelligence-use-hive-mind-{session_id}", WHEN: "ISO8601_timestamp", PROJECT: "{project_name}", WHY: "skill-execution" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S7 SKILL COMPLETION VERIFICATION */ /*----------------------------------------------------------------------------*/ [direct|emphatic] COMPLETION_CHECKLIST := { agent_spawning: "Spawn agents via Task()", registry_validation: "Use registry agents only", todowrite_called: "Track progress with TodoWrite", work_delegation: "Delegate to specialized agents" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S8 ABSOLUTE RULES */ /*----------------------------------------------------------------------------*/ [direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* PROMISE */ /*----------------------------------------------------------------------------*/ [commit|confident] WHEN_COORDINATING_COLLECTIVE_INTELLIGENCE_USE_HIVE_MIND_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]