chore: restore .claude commands, agents, helpers & skills (lost in 1df208d)

Restores the entire .claude/ infrastructure that was accidentally deleted in commit 1df208d ('feat(timeline): add pulse animation for in-flight drag mutations'). Recovered via git checkout 1df208d^. Restored: - .claude/commands/ (gitlooper, sparc/, github/, automation/, monitoring/, optimization/, hooks/, plan, implement, research, review, perf, visualaudit) - .claude/agents/ (core/, github/, sparc/, v3/, swarm/, templates/, ...) - .claude/helpers/ (41 scripts incl. hook-handler.cjs, statusline.cjs) - .claude/skills/ (20 skills incl. sparc-methodology, github-*, v3-*) - .claude/settings.json (hooks configuration) Also updated all CapaKraken → Nexus references in affected command files. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-08-15 11:43:52 +02:00
parent 55b861cb43
commit f80808482d
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+---
+name: "V3 MCP Optimization"
+description: "MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times."
+---
+
+# V3 MCP Optimization
+
+## What This Skill Does
+
+Optimizes claude-flow v3 MCP (Model Context Protocol) server implementation with advanced transport layer optimizations, connection pooling, load balancing, and comprehensive performance monitoring to achieve sub-100ms response times.
+
+## Quick Start
+
+```bash
+# Initialize MCP optimization analysis
+Task("MCP architecture", "Analyze current MCP server performance and bottlenecks", "mcp-specialist")
+
+# Optimization implementation (parallel)
+Task("Connection pooling", "Implement MCP connection pooling and reuse", "mcp-specialist")
+Task("Load balancing", "Add dynamic load balancing for MCP tools", "mcp-specialist")
+Task("Transport optimization", "Optimize transport layer performance", "mcp-specialist")
+```
+
+## MCP Performance Architecture
+
+### Current State Analysis
+
+```
+Current MCP Issues:
+├── Cold Start Latency: ~1.8s MCP server init
+├── Connection Overhead: New connection per request
+├── Tool Registry: Linear search O(n) for 213+ tools
+├── Transport Layer: No connection reuse
+└── Memory Usage: No cleanup of idle connections
+
+Target Performance:
+├── Startup Time: <400ms (4.5x improvement)
+├── Tool Lookup: <5ms (O(1) hash table)
+├── Connection Reuse: 90%+ connection pool hits
+├── Response Time: <100ms p95
+└── Memory Efficiency: 50% reduction
+```
+
+### MCP Server Architecture
+
+```typescript
+// src/core/mcp/mcp-server.ts
+import { Server } from "@modelcontextprotocol/sdk/server/index.js";
+import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
+
+interface OptimizedMCPConfig {
+  // Connection pooling
+  maxConnections: number;
+  idleTimeoutMs: number;
+  connectionReuseEnabled: boolean;
+
+  // Tool registry
+  toolCacheEnabled: boolean;
+  toolIndexType: "hash" | "trie";
+
+  // Performance
+  requestTimeoutMs: number;
+  batchingEnabled: boolean;
+  compressionEnabled: boolean;
+
+  // Monitoring
+  metricsEnabled: boolean;
+  healthCheckIntervalMs: number;
+}
+
+export class OptimizedMCPServer {
+  private server: Server;
+  private connectionPool: ConnectionPool;
+  private toolRegistry: FastToolRegistry;
+  private loadBalancer: MCPLoadBalancer;
+  private metrics: MCPMetrics;
+
+  constructor(config: OptimizedMCPConfig) {
+    this.server = new Server(
+      {
+        name: "claude-flow-v3",
+        version: "3.0.0",
+      },
+      {
+        capabilities: {
+          tools: { listChanged: true },
+          resources: { subscribe: true, listChanged: true },
+          prompts: { listChanged: true },
+        },
+      },
+    );
+
+    this.connectionPool = new ConnectionPool(config);
+    this.toolRegistry = new FastToolRegistry(config.toolIndexType);
+    this.loadBalancer = new MCPLoadBalancer();
+    this.metrics = new MCPMetrics(config.metricsEnabled);
+  }
+
+  async start(): Promise<void> {
+    // Pre-warm connection pool
+    await this.connectionPool.preWarm();
+
+    // Pre-build tool index
+    await this.toolRegistry.buildIndex();
+
+    // Setup request handlers with optimizations
+    this.setupOptimizedHandlers();
+
+    // Start health monitoring
+    this.startHealthMonitoring();
+
+    // Start server
+    const transport = new StdioServerTransport();
+    await this.server.connect(transport);
+
+    this.metrics.recordStartup();
+  }
+}
+```
+
+## Connection Pool Implementation
+
+### Advanced Connection Pooling
+
+```typescript
+// src/core/mcp/connection-pool.ts
+interface PooledConnection {
+  id: string;
+  connection: MCPConnection;
+  lastUsed: number;
+  usageCount: number;
+  isHealthy: boolean;
+}
+
+export class ConnectionPool {
+  private pool: Map<string, PooledConnection> = new Map();
+  private readonly config: ConnectionPoolConfig;
+  private healthChecker: HealthChecker;
+
+  constructor(config: ConnectionPoolConfig) {
+    this.config = {
+      maxConnections: 50,
+      minConnections: 5,
+      idleTimeoutMs: 300000, // 5 minutes
+      maxUsageCount: 1000,
+      healthCheckIntervalMs: 30000,
+      ...config,
+    };
+
+    this.healthChecker = new HealthChecker(this.config.healthCheckIntervalMs);
+  }
+
+  async getConnection(endpoint: string): Promise<MCPConnection> {
+    const start = performance.now();
+
+    // Try to get from pool first
+    const pooled = this.findAvailableConnection(endpoint);
+    if (pooled) {
+      pooled.lastUsed = Date.now();
+      pooled.usageCount++;
+
+      this.recordMetric("pool_hit", performance.now() - start);
+      return pooled.connection;
+    }
+
+    // Check pool capacity
+    if (this.pool.size >= this.config.maxConnections) {
+      await this.evictLeastUsedConnection();
+    }
+
+    // Create new connection
+    const connection = await this.createConnection(endpoint);
+    const pooledConn: PooledConnection = {
+      id: this.generateConnectionId(),
+      connection,
+      lastUsed: Date.now(),
+      usageCount: 1,
+      isHealthy: true,
+    };
+
+    this.pool.set(pooledConn.id, pooledConn);
+    this.recordMetric("pool_miss", performance.now() - start);
+
+    return connection;
+  }
+
+  async releaseConnection(connection: MCPConnection): Promise<void> {
+    // Mark connection as available for reuse
+    const pooled = this.findConnectionById(connection.id);
+    if (pooled) {
+      // Check if connection should be retired
+      if (pooled.usageCount >= this.config.maxUsageCount) {
+        await this.removeConnection(pooled.id);
+      }
+    }
+  }
+
+  async preWarm(): Promise<void> {
+    const connections: Promise<MCPConnection>[] = [];
+
+    for (let i = 0; i < this.config.minConnections; i++) {
+      connections.push(this.createConnection("default"));
+    }
+
+    await Promise.all(connections);
+  }
+
+  private async evictLeastUsedConnection(): Promise<void> {
+    let oldestConn: PooledConnection | null = null;
+    let oldestTime = Date.now();
+
+    for (const conn of this.pool.values()) {
+      if (conn.lastUsed < oldestTime) {
+        oldestTime = conn.lastUsed;
+        oldestConn = conn;
+      }
+    }
+
+    if (oldestConn) {
+      await this.removeConnection(oldestConn.id);
+    }
+  }
+
+  private findAvailableConnection(endpoint: string): PooledConnection | null {
+    for (const conn of this.pool.values()) {
+      if (
+        conn.isHealthy &&
+        conn.connection.endpoint === endpoint &&
+        Date.now() - conn.lastUsed < this.config.idleTimeoutMs
+      ) {
+        return conn;
+      }
+    }
+    return null;
+  }
+}
+```
+
+## Fast Tool Registry
+
+### O(1) Tool Lookup Implementation
+
+```typescript
+// src/core/mcp/fast-tool-registry.ts
+interface ToolIndexEntry {
+  name: string;
+  handler: ToolHandler;
+  metadata: ToolMetadata;
+  usageCount: number;
+  avgLatencyMs: number;
+}
+
+export class FastToolRegistry {
+  private toolIndex: Map<string, ToolIndexEntry> = new Map();
+  private categoryIndex: Map<string, string[]> = new Map();
+  private fuzzyMatcher: FuzzyMatcher;
+  private cache: LRUCache<string, ToolIndexEntry>;
+
+  constructor(indexType: "hash" | "trie" = "hash") {
+    this.fuzzyMatcher = new FuzzyMatcher();
+    this.cache = new LRUCache<string, ToolIndexEntry>(1000); // Cache 1000 most used tools
+  }
+
+  async buildIndex(): Promise<void> {
+    const start = performance.now();
+
+    // Load all available tools
+    const tools = await this.loadAllTools();
+
+    // Build hash index for O(1) lookup
+    for (const tool of tools) {
+      const entry: ToolIndexEntry = {
+        name: tool.name,
+        handler: tool.handler,
+        metadata: tool.metadata,
+        usageCount: 0,
+        avgLatencyMs: 0,
+      };
+
+      this.toolIndex.set(tool.name, entry);
+
+      // Build category index
+      const category = tool.metadata.category || "general";
+      if (!this.categoryIndex.has(category)) {
+        this.categoryIndex.set(category, []);
+      }
+      this.categoryIndex.get(category)!.push(tool.name);
+    }
+
+    // Build fuzzy search index
+    await this.fuzzyMatcher.buildIndex(tools.map((t) => t.name));
+
+    console.log(
+      `Tool index built in ${(performance.now() - start).toFixed(2)}ms for ${tools.length} tools`,
+    );
+  }
+
+  findTool(name: string): ToolIndexEntry | null {
+    // Try cache first
+    const cached = this.cache.get(name);
+    if (cached) return cached;
+
+    // Try exact match
+    const exact = this.toolIndex.get(name);
+    if (exact) {
+      this.cache.set(name, exact);
+      return exact;
+    }
+
+    // Try fuzzy match
+    const fuzzyMatches = this.fuzzyMatcher.search(name, 1);
+    if (fuzzyMatches.length > 0) {
+      const match = this.toolIndex.get(fuzzyMatches[0]);
+      if (match) {
+        this.cache.set(name, match);
+        return match;
+      }
+    }
+
+    return null;
+  }
+
+  findToolsByCategory(category: string): ToolIndexEntry[] {
+    const toolNames = this.categoryIndex.get(category) || [];
+    return toolNames
+      .map((name) => this.toolIndex.get(name))
+      .filter((entry) => entry !== undefined) as ToolIndexEntry[];
+  }
+
+  getMostUsedTools(limit: number = 10): ToolIndexEntry[] {
+    return Array.from(this.toolIndex.values())
+      .sort((a, b) => b.usageCount - a.usageCount)
+      .slice(0, limit);
+  }
+
+  recordToolUsage(toolName: string, latencyMs: number): void {
+    const entry = this.toolIndex.get(toolName);
+    if (entry) {
+      entry.usageCount++;
+      // Moving average for latency
+      entry.avgLatencyMs = (entry.avgLatencyMs + latencyMs) / 2;
+    }
+  }
+}
+```
+
+## Load Balancing & Request Distribution
+
+### Intelligent Load Balancer
+
+```typescript
+// src/core/mcp/load-balancer.ts
+interface ServerInstance {
+  id: string;
+  endpoint: string;
+  load: number;
+  responseTime: number;
+  isHealthy: boolean;
+  maxConnections: number;
+  currentConnections: number;
+}
+
+export class MCPLoadBalancer {
+  private servers: Map<string, ServerInstance> = new Map();
+  private routingStrategy: RoutingStrategy = "least-connections";
+
+  addServer(server: ServerInstance): void {
+    this.servers.set(server.id, server);
+  }
+
+  selectServer(toolCategory?: string): ServerInstance | null {
+    const healthyServers = Array.from(this.servers.values()).filter((server) => server.isHealthy);
+
+    if (healthyServers.length === 0) return null;
+
+    switch (this.routingStrategy) {
+      case "round-robin":
+        return this.roundRobinSelection(healthyServers);
+
+      case "least-connections":
+        return this.leastConnectionsSelection(healthyServers);
+
+      case "response-time":
+        return this.responseTimeSelection(healthyServers);
+
+      case "weighted":
+        return this.weightedSelection(healthyServers, toolCategory);
+
+      default:
+        return healthyServers[0];
+    }
+  }
+
+  private leastConnectionsSelection(servers: ServerInstance[]): ServerInstance {
+    return servers.reduce((least, current) =>
+      current.currentConnections < least.currentConnections ? current : least,
+    );
+  }
+
+  private responseTimeSelection(servers: ServerInstance[]): ServerInstance {
+    return servers.reduce((fastest, current) =>
+      current.responseTime < fastest.responseTime ? current : fastest,
+    );
+  }
+
+  private weightedSelection(servers: ServerInstance[], category?: string): ServerInstance {
+    // Prefer servers with lower load and better response time
+    const scored = servers.map((server) => ({
+      server,
+      score: this.calculateServerScore(server, category),
+    }));
+
+    scored.sort((a, b) => b.score - a.score);
+    return scored[0].server;
+  }
+
+  private calculateServerScore(server: ServerInstance, category?: string): number {
+    const loadFactor = 1 - server.currentConnections / server.maxConnections;
+    const responseFactor = 1 / (server.responseTime + 1);
+    const categoryBonus = this.getCategoryBonus(server, category);
+
+    return loadFactor * 0.4 + responseFactor * 0.4 + categoryBonus * 0.2;
+  }
+
+  updateServerMetrics(serverId: string, metrics: Partial<ServerInstance>): void {
+    const server = this.servers.get(serverId);
+    if (server) {
+      Object.assign(server, metrics);
+    }
+  }
+}
+```
+
+## Transport Layer Optimization
+
+### High-Performance Transport
+
+```typescript
+// src/core/mcp/optimized-transport.ts
+export class OptimizedTransport {
+  private compression: boolean = true;
+  private batching: boolean = true;
+  private batchBuffer: MCPMessage[] = [];
+  private batchTimeout: NodeJS.Timeout | null = null;
+
+  constructor(private config: TransportConfig) {}
+
+  async send(message: MCPMessage): Promise<void> {
+    if (this.batching && this.canBatch(message)) {
+      this.addToBatch(message);
+      return;
+    }
+
+    await this.sendImmediate(message);
+  }
+
+  private async sendImmediate(message: MCPMessage): Promise<void> {
+    const start = performance.now();
+
+    // Compress if enabled
+    const payload = this.compression ? await this.compress(message) : message;
+
+    // Send through transport
+    await this.transport.send(payload);
+
+    // Record metrics
+    this.recordLatency(performance.now() - start);
+  }
+
+  private addToBatch(message: MCPMessage): void {
+    this.batchBuffer.push(message);
+
+    // Start batch timeout if not already running
+    if (!this.batchTimeout) {
+      this.batchTimeout = setTimeout(() => this.flushBatch(), this.config.batchTimeoutMs || 10);
+    }
+
+    // Flush if batch is full
+    if (this.batchBuffer.length >= this.config.maxBatchSize) {
+      this.flushBatch();
+    }
+  }
+
+  private async flushBatch(): Promise<void> {
+    if (this.batchBuffer.length === 0) return;
+
+    const batch = this.batchBuffer.splice(0);
+    this.batchTimeout = null;
+
+    // Send as single batched message
+    await this.sendImmediate({
+      type: "batch",
+      messages: batch,
+    });
+  }
+
+  private canBatch(message: MCPMessage): boolean {
+    // Don't batch urgent messages or responses
+    return message.type !== "response" && message.priority !== "high" && message.type !== "error";
+  }
+
+  private async compress(data: any): Promise<Buffer> {
+    // Use fast compression for smaller messages
+    return gzipSync(JSON.stringify(data));
+  }
+}
+```
+
+## Performance Monitoring
+
+### Real-time MCP Metrics
+
+```typescript
+// src/core/mcp/metrics.ts
+interface MCPMetrics {
+  requestCount: number;
+  errorCount: number;
+  avgResponseTime: number;
+  p95ResponseTime: number;
+  connectionPoolHits: number;
+  connectionPoolMisses: number;
+  toolLookupTime: number;
+  startupTime: number;
+}
+
+export class MCPMetricsCollector {
+  private metrics: MCPMetrics;
+  private responseTimeBuffer: number[] = [];
+  private readonly bufferSize = 1000;
+
+  constructor() {
+    this.metrics = this.createInitialMetrics();
+  }
+
+  recordRequest(latencyMs: number): void {
+    this.metrics.requestCount++;
+    this.updateResponseTimes(latencyMs);
+  }
+
+  recordError(): void {
+    this.metrics.errorCount++;
+  }
+
+  recordConnectionPoolHit(): void {
+    this.metrics.connectionPoolHits++;
+  }
+
+  recordConnectionPoolMiss(): void {
+    this.metrics.connectionPoolMisses++;
+  }
+
+  recordToolLookup(latencyMs: number): void {
+    this.metrics.toolLookupTime = this.updateMovingAverage(this.metrics.toolLookupTime, latencyMs);
+  }
+
+  recordStartup(latencyMs: number): void {
+    this.metrics.startupTime = latencyMs;
+  }
+
+  getMetrics(): MCPMetrics {
+    return { ...this.metrics };
+  }
+
+  getHealthStatus(): HealthStatus {
+    const errorRate = this.metrics.errorCount / this.metrics.requestCount;
+    const poolHitRate =
+      this.metrics.connectionPoolHits /
+      (this.metrics.connectionPoolHits + this.metrics.connectionPoolMisses);
+
+    return {
+      status: this.determineHealthStatus(errorRate, poolHitRate),
+      errorRate,
+      poolHitRate,
+      avgResponseTime: this.metrics.avgResponseTime,
+      p95ResponseTime: this.metrics.p95ResponseTime,
+    };
+  }
+
+  private updateResponseTimes(latency: number): void {
+    this.responseTimeBuffer.push(latency);
+
+    if (this.responseTimeBuffer.length > this.bufferSize) {
+      this.responseTimeBuffer.shift();
+    }
+
+    this.metrics.avgResponseTime = this.calculateAverage(this.responseTimeBuffer);
+    this.metrics.p95ResponseTime = this.calculatePercentile(this.responseTimeBuffer, 95);
+  }
+
+  private calculatePercentile(arr: number[], percentile: number): number {
+    const sorted = arr.slice().sort((a, b) => a - b);
+    const index = Math.ceil((percentile / 100) * sorted.length) - 1;
+    return sorted[index] || 0;
+  }
+
+  private determineHealthStatus(
+    errorRate: number,
+    poolHitRate: number,
+  ): "healthy" | "warning" | "critical" {
+    if (errorRate > 0.1 || poolHitRate < 0.5) return "critical";
+    if (errorRate > 0.05 || poolHitRate < 0.7) return "warning";
+    return "healthy";
+  }
+}
+```
+
+## Tool Registry Optimization
+
+### Pre-compiled Tool Index
+
+```typescript
+// src/core/mcp/tool-precompiler.ts
+export class ToolPrecompiler {
+  async precompileTools(): Promise<CompiledToolRegistry> {
+    const tools = await this.loadAllTools();
+
+    // Create optimized lookup structures
+    const nameIndex = new Map<string, Tool>();
+    const categoryIndex = new Map<string, Tool[]>();
+    const fuzzyIndex = new Map<string, string[]>();
+
+    for (const tool of tools) {
+      // Exact name index
+      nameIndex.set(tool.name, tool);
+
+      // Category index
+      const category = tool.metadata.category || "general";
+      if (!categoryIndex.has(category)) {
+        categoryIndex.set(category, []);
+      }
+      categoryIndex.get(category)!.push(tool);
+
+      // Pre-compute fuzzy variations
+      const variations = this.generateFuzzyVariations(tool.name);
+      for (const variation of variations) {
+        if (!fuzzyIndex.has(variation)) {
+          fuzzyIndex.set(variation, []);
+        }
+        fuzzyIndex.get(variation)!.push(tool.name);
+      }
+    }
+
+    return {
+      nameIndex,
+      categoryIndex,
+      fuzzyIndex,
+      totalTools: tools.length,
+      compiledAt: new Date(),
+    };
+  }
+
+  private generateFuzzyVariations(name: string): string[] {
+    const variations: string[] = [];
+
+    // Common typos and abbreviations
+    variations.push(name.toLowerCase());
+    variations.push(name.replace(/[-_]/g, ""));
+    variations.push(name.replace(/[aeiou]/gi, "")); // Consonants only
+
+    // Add more fuzzy matching logic as needed
+
+    return variations;
+  }
+}
+```
+
+## Advanced Caching Strategy
+
+### Multi-Level Caching
+
+```typescript
+// src/core/mcp/multi-level-cache.ts
+export class MultiLevelCache {
+  private l1Cache: Map<string, any> = new Map(); // In-memory, fastest
+  private l2Cache: LRUCache<string, any>; // LRU cache, larger capacity
+  private l3Cache: DiskCache; // Persistent disk cache
+
+  constructor(config: CacheConfig) {
+    this.l2Cache = new LRUCache<string, any>({
+      max: config.l2MaxEntries || 10000,
+      ttl: config.l2TTL || 300000, // 5 minutes
+    });
+
+    this.l3Cache = new DiskCache(config.l3Path || "./.cache/mcp");
+  }
+
+  async get(key: string): Promise<any | null> {
+    // Try L1 cache first (fastest)
+    if (this.l1Cache.has(key)) {
+      return this.l1Cache.get(key);
+    }
+
+    // Try L2 cache
+    const l2Value = this.l2Cache.get(key);
+    if (l2Value) {
+      // Promote to L1
+      this.l1Cache.set(key, l2Value);
+      return l2Value;
+    }
+
+    // Try L3 cache (disk)
+    const l3Value = await this.l3Cache.get(key);
+    if (l3Value) {
+      // Promote to L2 and L1
+      this.l2Cache.set(key, l3Value);
+      this.l1Cache.set(key, l3Value);
+      return l3Value;
+    }
+
+    return null;
+  }
+
+  async set(key: string, value: any, options?: CacheOptions): Promise<void> {
+    // Set in all levels
+    this.l1Cache.set(key, value);
+    this.l2Cache.set(key, value);
+
+    if (options?.persistent) {
+      await this.l3Cache.set(key, value);
+    }
+
+    // Manage L1 cache size
+    if (this.l1Cache.size > 1000) {
+      const firstKey = this.l1Cache.keys().next().value;
+      this.l1Cache.delete(firstKey);
+    }
+  }
+}
+```
+
+## Success Metrics
+
+### Performance Targets
+
+- [ ] **Startup Time**: <400ms MCP server initialization (4.5x improvement)
+- [ ] **Response Time**: <100ms p95 for tool execution
+- [ ] **Tool Lookup**: <5ms average lookup time
+- [ ] **Connection Pool**: >90% hit rate
+- [ ] **Memory Usage**: 50% reduction in idle memory
+- [ ] **Error Rate**: <1% failed requests
+- [ ] **Throughput**: >1000 requests/second
+
+### Monitoring Dashboards
+
+```typescript
+const mcpDashboard = {
+  metrics: [
+    "Request latency (p50, p95, p99)",
+    "Error rate by tool category",
+    "Connection pool utilization",
+    "Tool lookup performance",
+    "Memory usage trends",
+    "Cache hit rates (L1, L2, L3)",
+  ],
+
+  alerts: [
+    "Response time >200ms for 5 minutes",
+    "Error rate >5% for 1 minute",
+    "Pool hit rate <70% for 10 minutes",
+    "Memory usage >500MB for 5 minutes",
+  ],
+};
+```
+
+## Related V3 Skills
+
+- `v3-core-implementation` - Core domain integration with MCP
+- `v3-performance-optimization` - Overall performance optimization
+- `v3-swarm-coordination` - MCP integration with swarm coordination
+- `v3-memory-unification` - Memory sharing via MCP tools
+
+## Usage Examples
+
+### Complete MCP Optimization
+
+```bash
+# Full MCP server optimization
+Task("MCP optimization implementation",
+     "Implement all MCP performance optimizations with monitoring",
+     "mcp-specialist")
+```
+
+### Specific Optimization
+
+```bash
+# Connection pool optimization
+Task("MCP connection pooling",
+     "Implement advanced connection pooling with health monitoring",
+     "mcp-specialist")
+```