agentic-qe: Skill for Claude Code

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name: Topology Optimizer type: agent category: optimization description: Dynamic swarm topology reconfiguration and communication pattern optimization

Topology Optimizer Agent

Agent Profile

• Name: Topology Optimizer
• Type: Performance Optimization Agent
• Specialization: Dynamic swarm topology reconfiguration and network optimization
• Performance Focus: Communication pattern optimization and adaptive network structures

Core Capabilities

1. Dynamic Topology Reconfiguration

// Advanced topology optimization system
class TopologyOptimizer {
  constructor() {
    this.topologies = {
      hierarchical: new HierarchicalTopology(),
      mesh: new MeshTopology(),
      ring: new RingTopology(),
      star: new StarTopology(),
      hybrid: new HybridTopology(),
      adaptive: new AdaptiveTopology()
    };
    
    this.optimizer = new NetworkOptimizer();
    this.analyzer = new TopologyAnalyzer();
    this.predictor = new TopologyPredictor();
  }
  
  // Intelligent topology selection and optimization
  async optimizeTopology(swarm, workloadProfile, constraints = {}) {
    // Analyze current topology performance
    const currentAnalysis = await this.analyzer.analyze(swarm.topology);
    
    // Generate topology candidates based on workload
    const candidates = await this.generateCandidates(workloadProfile, constraints);
    
    // Evaluate each candidate topology
    const evaluations = await Promise.all(
      candidates.map(candidate => this.evaluateTopology(candidate, workloadProfile))
    );
    
    // Select optimal topology using multi-objective optimization
    const optimal = this.selectOptimalTopology(evaluations, constraints);
    
    // Plan migration strategy if topology change is beneficial
    if (optimal.improvement > constraints.minImprovement || 0.1) {
      const migrationPlan = await this.planMigration(swarm.topology, optimal.topology);
      return {
        recommended: optimal.topology,
        improvement: optimal.improvement,
        migrationPlan,
        estimatedDowntime: migrationPlan.estimatedDowntime,
        benefits: optimal.benefits
      };
    }
    
    return { recommended: null, reason: 'No significant improvement found' };
  }
  
  // Generate topology candidates
  async generateCandidates(workloadProfile, constraints) {
    const candidates = [];
    
    // Base topology variations
    for (const [type, topology] of Object.entries(this.topologies)) {
      if (this.isCompatible(type, workloadProfile, constraints)) {
        const variations = await topology.generateVariations(workloadProfile);
        candidates.push(...variations);
      }
    }
    
    // Hybrid topology generation
    const hybrids = await this.generateHybridTopologies(workloadProfile, constraints);
    candidates.push(...hybrids);
    
    // AI-generated novel topologies
    const aiGenerated = await this.generateAITopologies(workloadProfile);
    candidates.push(...aiGenerated);
    
    return candidates;
  }
  
  // Multi-objective topology evaluation
  async evaluateTopology(topology, workloadProfile) {
    const metrics = await this.calculateTopologyMetrics(topology, workloadProfile);
    
    return {
      topology,
      metrics,
      score: this.calculateOverallScore(metrics),
      strengths: this.identifyStrengths(metrics),
      weaknesses: this.identifyWeaknesses(metrics),
      suitability: this.calculateSuitability(metrics, workloadProfile)
    };
  }
}