# When Using Advanced Swarm Use Swarm Advanced > When Using Advanced Swarm Use Swarm Advanced - Skill: `dnyoussef/when-using-advanced-swarm-use-swarm-advanced` (Agent Skill, multi-file: 5 files) - Install (CLI): `npx skillmds@latest add dnyoussef/when-using-advanced-swarm-use-swarm-advanced` - Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/when-using-advanced-swarm-use-swarm-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/when-using-advanced-swarm-use-swarm-advanced --- /*============================================================================*/ /* WHEN-USING-ADVANCED-SWARM-USE-SWARM-ADVANCED SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: when-using-advanced-swarm-use-swarm-advanced version: 1.0.0 description: | [assert|neutral] Advanced swarm patterns with dynamic topology switching and self-organizing behaviors for complex multi-agent coordination [ground:given] [conf:0.95] [state:confirmed] category: workflow tags: - swarm - advanced - coordination - topology - self-organizing author: ruv cognitive_frame: primary: evidential goal_analysis: first_order: "Execute when-using-advanced-swarm-use-swarm-advanced workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic workflow processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "when-using-advanced-swarm-use-swarm-advanced", category: "workflow", 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-using-advanced-swarm-use-swarm-advanced", "workflow", "workflow"], context: "user needs when-using-advanced-swarm-use-swarm-advanced capability" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S3 CORE CONTENT */ /*----------------------------------------------------------------------------*/ ## Orchestration Skill Guidelines ### When to Use This Skill - **Parallel multi-agent execution** requiring concurrent task processing - **Complex implementation** with 6+ independent tasks - **Theater-free development** requiring 0% tolerance validation - **Dynamic agent selection** from 86+ agent registry - **High-quality delivery** needing Byzantine consensus validation ### When NOT to Use This Skill - **Single-agent tasks** with no parallelization benefit - **Simple sequential work** completing in <2 hours - **Planning phase** (use research-driven-planning first) - **Trivial changes** to single files ### Success Criteria - [assert|neutral] *Agent+skill matrix generated** with optimal assignments [ground:acceptance-criteria] [conf:0.90] [state:provisional] - [assert|neutral] *Parallel execution successful** with 8.3x speedup achieved [ground:acceptance-criteria] [conf:0.90] [state:provisional] - [assert|neutral] *Theater detection passes** with 0% theater detected [ground:acceptance-criteria] [conf:0.90] [state:provisional] - [assert|neutral] *Integration tests pass** at 100% rate [ground:acceptance-criteria] [conf:0.90] [state:provisional] - [assert|neutral] *All agents complete** with no orphaned workers [ground:acceptance-criteria] [conf:0.90] [state:provisional] ### Edge Cases to Handle - **Agent failures** - Implement agent health monitoring and replacement - **Task timeout** - Configure per-task timeout with escalation - **Consensus failure** - Have fallback from Byzantine to weighted consensus - **Resource exhaustion** - Limit max parallel agents, queue excess - **Conflicting outputs** - Implement merge conflict resolution strategy ### Guardrails (NEVER Violate) - [assert|emphatic] NEVER: lose agent state** - Persist agent progress to memory continuously [ground:policy] [conf:0.98] [state:confirmed] - [assert|neutral] ALWAYS: track swarm health** - Monitor all agent statuses in real-time [ground:policy] [conf:0.98] [state:confirmed] - [assert|neutral] ALWAYS: validate consensus** - Require 4/5 agreement for theater detection [ground:policy] [conf:0.98] [state:confirmed] - [assert|emphatic] NEVER: skip theater audit** - Zero tolerance, any theater blocks merge [ground:policy] [conf:0.98] [state:confirmed] - [assert|neutral] ALWAYS: cleanup workers** - Terminate agents on completion/failure [ground:policy] [conf:0.98] [state:confirmed] ### Evidence-Based Validation - **Check all agent statuses** - Verify each agent completed successfully - **Validate parallel execution** - Confirm tasks ran concurrently, not sequentially - **Measure speedup** - Calculate actual speedup vs sequential baseline - **Audit theater detection** - Run 6-agent consensus, verify 0% detection - **Verify integration** - Execute sandbox tests, confirm 100% pass rate # Advanced Swarm Coordination SOP ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. ## Overview This skill implements advanced swarm patterns with dynamic topology switching, self-organizing behaviors, and intelligent coordination for complex multi-agent systems. It enables sophisticated swarm orchestration with adaptive topology selection and performance optimization. ## Agents & Responsibilities ### hierarchical-coordinator **Role:** Tree-based coordination with leader-follower patterns **Responsibilities:** - Manage hierarchical swarm structures - Coordinate parent-child agent relationships - Handle task delegation cascades - Monitor hierarchy performance ### mesh-coordinator **Role:** Peer-to-peer coordination with full connectivity **Responsibilities:** - Enable direct agent-to-agent communication - Manage mesh network topology - Coordinate distributed consensus - Handle fault tolerance ### adaptive-coordinator **Role:** Dynamic topology switching based on workload **Responsibilities:** - Analyze task complexity and requirements - Switch topologies dynamically - Optimize resource allocation - Monitor and adapt to performance ## Phase 1 /*----------------------------------------------------------------------------*/ /* 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/workflow/when-using-advanced-swarm-use-swarm-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: "when-using-advanced-swarm-use-swarm-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] WHEN_USING_ADVANCED_SWARM_USE_SWARM_ADVANCED_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]