# Hive Mind Advanced > Hive Mind Advanced - Skill: `dnyoussef/hive-mind-advanced` (Agent Skill, multi-file: 16 files) - Install (CLI): `npx skillmds@latest add dnyoussef/hive-mind-advanced` - Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/hive-mind-advanced/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/hive-mind-advanced --- /*============================================================================*/ /* HIVE-MIND-ADVANCED SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: hive-mind-advanced version: 1.0.0 description: | [assert|neutral] Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory [ground:given] [conf:0.95] [state:confirmed] category: coordination tags: - hive-mind - swarm - queen-worker - consensus - collective-intelligence author: Claude Flow Team cognitive_frame: primary: evidential goal_analysis: first_order: "Execute hive-mind-advanced workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic coordination processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "hive-mind-advanced", 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: ["hive-mind-advanced", "coordination", "workflow"], context: "user needs hive-mind-advanced capability" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S3 CORE CONTENT */ /*----------------------------------------------------------------------------*/ ## Orchestration Skill Guidelines ### When to Use This Skill - **Queen-led coordination** requiring hierarchical multi-agent control - **Consensus-driven decisions** needing Byzantine fault tolerance - **Collective intelligence** tasks benefiting from shared memory - **Strategic planning** with tactical execution delegation - **Large-scale swarms** with 10+ specialized worker agents ### When NOT to Use This Skill - **Single-agent tasks** with no coordination requirements - **Simple workflows** without consensus needs - **Flat topologies** where hierarchy adds no value - **Ephemeral tasks** not needing collective memory ### Success Criteria - [assert|neutral] *Queen successfully coordinates** all worker agents [ground:acceptance-criteria] [conf:0.90] [state:provisional] - [assert|neutral] *Consensus achieved** using configured algorithm (majority/weighted/Byzantine) [ground:acceptance-criteria] [conf:0.90] [state:provisional] - [assert|neutral] *Collective memory shared** across all agents with <10ms access time [ground:acceptance-criteria] [conf:0.90] [state:provisional] - [assert|neutral] *All workers complete tasks** with 100% assignment success [ground:acceptance-criteria] [conf:0.90] [state:provisional] - [assert|neutral] *Session state persisted** with checkpoint recovery capability [ground:acceptance-criteria] [conf:0.90] [state:provisional] ### Edge Cases to Handle - **Queen failure** - Implement queen failover and re-election - **Worker unresponsiveness** - Timeout detection and task reassignment - **Consensus deadlock** - Fallback to weighted or majority consensus - **Memory corruption** - Validate memory integrity with checksums - **Session crash** - Resume from last checkpoint with full state recovery ### Guardrails (NEVER Violate) - [assert|emphatic] NEVER: lose collective memory** - Persist to SQLite with WAL mode [ground:policy] [conf:0.98] [state:confirmed] - [assert|neutral] ALWAYS: validate queen health** - Monitor queen heartbeat continuously [ground:policy] [conf:0.98] [state:confirmed] - [assert|neutral] ALWAYS: track worker states** - Real-time worker status in shared memory [ground:policy] [conf:0.98] [state:confirmed] - [assert|emphatic] NEVER: skip consensus** - Critical decisions require configured consensus [ground:policy] [conf:0.98] [state:confirmed] - [assert|neutral] ALWAYS: checkpoint sessions** - Save state at key milestones [ground:policy] [conf:0.98] [state:confirmed] ### Evidence-Based Validation - **Verify queen coordination** - Check queen issued commands to all workers - **Validate consensus results** - Confirm vote counts meet algorithm threshold - **Check memory consistency** - Query collective memory, verify no conflicts - **Measure worker efficiency** - Calculate task completion rate per worker - **Audit session recovery** - Test checkpoint restore, verify full state # Hive Mind Advanced Skill ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. Master the advanced Hive Mind collective intelligence system for sophisticated multi-agent coordination using queen-led architecture, Byzantine consensus, and collective memory. ## Overview 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. ## Core Concepts ### Architecture Patterns **Queen-Led Coordination** - Strategic queen agents orchestrate high-level objectives - Tactical queens manage mid-level execution - Adaptive queens dynamically adjust strategies based on performance **Worker Specialization** - Researcher agents: Analysis and investigation - Coder agents: Implementation and development - Analyst agents: Data processing and metrics - Tester agents: Quality assurance and validation - Architect agents: System design and planning - Reviewer agents: Code review and improvement - Optimi /*----------------------------------------------------------------------------*/ /* 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/hive-mind-advanced/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed] [define|neutral] MEMORY_TAGGING := { WHO: "hive-mind-advanced-{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] HIVE_MIND_ADVANCED_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]