/============================================================================/ /* 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]