Agent skill
when-using-advanced-swarm-use-swarm-advanced
Install this agent skill to your Project
npx add-skill https://github.com/DNYoussef/context-cascade/tree/main/skills/orchestration/when-using-advanced-swarm-use-swarm-advanced
SKILL.md
/============================================================================/ /* 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]
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