V3 Performance Optimization

What This Skill Does

Validates and optimizes claude-flow v3 to achieve industry-leading performance through Flash Attention, AgentDB HNSW indexing, and comprehensive system optimization with continuous benchmarking.

Quick Start

# Initialize performance optimization
Task("Performance baseline", "Establish v2 performance benchmarks", "v3-performance-engineer")

# Target validation (parallel)
Task("Flash Attention", "Validate 2.49x-7.47x speedup target", "v3-performance-engineer")
Task("Search optimization", "Validate 150x-12,500x search improvement", "v3-performance-engineer")
Task("Memory optimization", "Achieve 50-75% memory reduction", "v3-performance-engineer")

Performance Target Matrix

Flash Attention Revolution

┌─────────────────────────────────────────┐
│           FLASH ATTENTION               │
├─────────────────────────────────────────┤
│  Baseline: Standard attention           │
│  Target:   2.49x - 7.47x speedup       │
│  Memory:   50-75% reduction             │
│  Latency:  Sub-millisecond processing   │
└─────────────────────────────────────────┘

Search Performance Revolution

┌─────────────────────────────────────────┐
│            SEARCH OPTIMIZATION         │
├─────────────────────────────────────────┤
│  Current:  O(n) linear search           │
│  Target:   150x - 12,500x improvement   │
│  Method:   HNSW indexing                │
│  Latency:  <100ms for 1M+ entries       │
└─────────────────────────────────────────┘

Comprehensive Benchmark Suite

Startup Performance

class StartupBenchmarks {
  async benchmarkColdStart(): Promise<BenchmarkResult> {
    const startTime = performance.now();

    await this.initializeCLI();
    await this.initializeMCPServer();
    await this.spawnTestAgent();

    const totalTime = performance.now() - startTime;

    return {
      total: totalTime,
      target: 500, // ms
      achieved: totalTime < 500
    };
  }
}

Memory Operation Benchmarks

class MemoryBenchmarks {
  async benchmarkVectorSearch(): Promise<SearchBenchmark> {
    const queries = this.generateTestQueries(10000);

    // Baseline: Current linear search
    const baselineTime = await this.timeOperation(() =>
      this.currentMemory.searchAll(queries)
    );

    // Target: HNSW search
    const hnswTime = await this.timeOperation(() =>
      this.agentDBMemory.hnswSearchAll(queries)
    );

    const improvement = baselineTime / hnswTime;

    return {
      baseline: baselineTime,
      hnsw: hnswTime,
      improvement,
      targetRange: [150, 12500],
      achieved: improvement >= 150
    };
  }

  async benchmarkMemoryUsage(): Promise<MemoryBenchmark> {
    const baseline = process.memoryUsage().heapUsed;

    await this.loadTestDataset();
    const withData = process.memoryUsage().heapUsed;

    await this.enableOptimization();
    const optimized = process.memoryUsage().heapUsed;

    const reduction = (withData - optimized) / withData;

    return {
      baseline,
      withData,
      optimized,
      reductionPercent: reduction * 100,
      targetReduction: [50, 75],
      achieved: reduction >= 0.5
    };
  }
}

Swarm Coordination Benchmarks

class SwarmBenchmarks {
  async benchmark15AgentCoordination(): Promise<SwarmBenchmark> {
    const agents = await this.spawn15Agents();

    // Coordination latency
    const coordinationTime = await this.timeOperation(() =>
      this.coordinateSwarmTask(agents)
    );

    // Task decomposition
    const decompositionTime = await this.timeOperation(() =>
      this.decomposeComplexTask()
    );

    // Consensus achievement
    const consensusTime = await this.timeOperation(() =>
      this.achieveSwarmConsensus(agents)
    );

    return {
      coordination: coordinationTime,
      decomposition: decompositionTime,
      consensus: consensusTime,
      agentCount: 15,
      efficiency: this.calculateEfficiency(agents)
    };
  }
}

Flash Attention Benchmarks

class AttentionBenchmarks {
  async benchmarkFlashAttention(): Promise<AttentionBenchmark> {
    const sequences = this.generateSequences([512, 1024, 2048, 4096]);
    const results = [];

    for (const sequence of sequences) {
      // Baseline attention
      const baselineResult = await this.benchmarkStandardAttention(sequence);

      // Flash attention
      const flashResult = await this.benchmarkFlashAttention(sequence);

      results.push({
        sequenceLength: sequence.length,
        speedup: baselineResult.time / flashResult.time,
        memoryReduction: (baselineResult.memory - flashResult.memory) / baselineResult.memory,
        targetSpeedup: [2.49, 7.47],
        achieved: this.checkTarget(flashResult, [2.49, 7.47])
      });
    }

    return {
      results,
      averageSpeedup: this.calculateAverage(results, 'speedup'),
      averageMemoryReduction: this.calculateAverage(results, 'memoryReduction')
    };
  }
}

SONA Learning Benchmarks

class SONABenchmarks {
  async benchmarkAdaptationTime(): Promise<SONABenchmark> {
    const scenarios = [
      'pattern_recognition',
      'task_optimization',
      'error_correction',
      'performance_tuning'
    ];

    const results = [];

    for (const scenario of scenarios) {
      const startTime = performance.hrtime.bigint();
      await this.sona.adapt(scenario);
      const endTime = performance.hrtime.bigint();

      const adaptationTimeMs = Number(endTime - startTime) / 1000000;

      results.push({
        scenario,
        adaptationTime: adaptationTimeMs,
        target: 0.05, // ms
        achieved: adaptationTimeMs <= 0.05
      });
    }

    return {
      scenarios: results,
      averageTime: results.reduce((sum, r) => sum + r.adaptationTime, 0) / results.length,
      successRate: results.filter(r => r.achieved).length / results.length
    };
  }
}

Performance Monitoring Dashboard

Real-time Metrics

class PerformanceMonitor {
  async collectMetrics(): Promise<PerformanceSnapshot> {
    return {
      timestamp: Date.now(),
      flashAttention: await this.measureFlashAttention(),
      searchPerformance: await this.measureSearchSpeed(),
      memoryUsage: await this.measureMemoryEfficiency(),
      startupTime: await this.measureStartupLatency(),
      sonaAdaptation: await this.measureSONASpeed(),
      swarmCoordination: await this.measureSwarmEfficiency()
    };
  }

  async generateReport(): Promise<PerformanceReport> {
    const snapshot = await this.collectMetrics();

    return {
      summary: this.generateSummary(snapshot),
      achievements: this.checkTargetAchievements(snapshot),
      trends: this.analyzeTrends(),
      recommendations: this.generateOptimizations(),
      regressions: await this.detectRegressions()
    };
  }
}

Continuous Regression Detection

class PerformanceRegression {
  async detectRegressions(): Promise<RegressionReport> {
    const current = await this.runFullBenchmark();
    const baseline = await this.getBaseline();

    const regressions = [];

    for (const [metric, currentValue] of Object.entries(current)) {
      const baselineValue = baseline[metric];
      const change = (currentValue - baselineValue) / baselineValue;

      if (change < -0.05) { // 5% regression threshold
        regressions.push({
          metric,
          baseline: baselineValue,
          current: currentValue,
          regressionPercent: change * 100,
          severity: this.classifyRegression(change)
        });
      }
    }

    return {
      hasRegressions: regressions.length > 0,
      regressions,
      recommendations: this.generateRegressionFixes(regressions)
    };
  }
}

Optimization Strategies

Memory Optimization

class MemoryOptimization {
  async optimizeMemoryUsage(): Promise<OptimizationResult> {
    // Implement memory pooling
    await this.setupMemoryPools();

    // Enable garbage collection tuning
    await this.optimizeGarbageCollection();

    // Implement object reuse patterns
    await this.setupObjectPools();

    // Enable memory compression
    await this.enableMemoryCompression();

    return this.validateMemoryReduction();
  }
}

CPU Optimization

class CPUOptimization {
  async optimizeCPUUsage(): Promise<OptimizationResult> {
    // Implement worker thread pools
    await this.setupWorkerThreads();

    // Enable CPU-specific optimizations
    await this.enableSIMDInstructions();

    // Implement task batching
    await this.optimizeTaskBatching();

    return this.validateCPUImprovement();
  }
}

Target Validation Framework

Performance Gates

class PerformanceGates {
  async validateAllTargets(): Promise<ValidationReport> {
    const results = await Promise.all([
      this.validateFlashAttention(),     // 2.49x-7.47x
      this.validateSearchPerformance(),  // 150x-12,500x
      this.validateMemoryReduction(),    // 50-75%
      this.validateStartupTime(),        // <500ms
      this.validateSONAAdaptation()      // <0.05ms
    ]);

    return {
      allTargetsAchieved: results.every(r => r.achieved),
      results,
      overallScore: this.calculateOverallScore(results),
      recommendations: this.generateRecommendations(results)
    };
  }
}

Success Metrics

Primary Targets

Flash Attention: 2.49x-7.47x speedup validated
Search Performance: 150x-12,500x improvement confirmed
Memory Reduction: 50-75% usage optimization achieved
Startup Time: <500ms cold start consistently
SONA Adaptation: <0.05ms learning response time
15-Agent Coordination: Efficient parallel execution

Continuous Monitoring

Performance Dashboard: Real-time metrics collection
Regression Testing: Automated performance validation
Trend Analysis: Performance evolution tracking
Alert System: Immediate regression notification

Related V3 Skills

v3-integration-deep - Performance integration with agentic-flow
v3-memory-unification - Memory performance optimization
v3-swarm-coordination - Swarm performance coordination
v3-security-overhaul - Secure performance patterns

Usage Examples

Complete Performance Validation

# Full performance suite
npm run benchmark:v3

# Specific target validation
npm run benchmark:flash-attention
npm run benchmark:agentdb-search
npm run benchmark:memory-optimization

# Continuous monitoring
npm run monitor:performance

V3 Performance Optimization

V3 Performance Optimization

What This Skill Does

Quick Start

Performance Target Matrix

Flash Attention Revolution

Search Performance Revolution

Comprehensive Benchmark Suite

Startup Performance

Memory Operation Benchmarks

Swarm Coordination Benchmarks

Flash Attention Benchmarks

SONA Learning Benchmarks

Performance Monitoring Dashboard

Real-time Metrics

Continuous Regression Detection

Optimization Strategies

Memory Optimization

CPU Optimization

Target Validation Framework

Performance Gates

Success Metrics

Primary Targets

Continuous Monitoring

Related V3 Skills

Usage Examples

Complete Performance Validation

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