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claude-code-subagents-orchestrator

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Claude Code Sub-agents Orchestrator - A powerful MCP server for orchestrating multiple AI sub-agents for complex task execution in Claude Code

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import { EventEmitter } from 'events'; import { EnhancedAgentSpec } from '../types/filesystem.js'; import { EnhancedFileSystemUtilities } from './enhanced-filesystem-utilities.js'; export declare class EnhancedAgentSpecManager extends EventEmitter { private agentsDir; private fileUtils; private agentSpecs; private capabilityMatrix; private domainExperts; private complexityMappings; private lastScanTime; private scanInProgress; constructor(agentsDir: string, fileUtils: EnhancedFileSystemUtilities); initialize(): Promise<void>; cleanup(): Promise<void>; getAllAgentSpecs(): EnhancedAgentSpec[]; getAgentSpec(agentName: string): EnhancedAgentSpec | undefined; getCapabilityMatrix(): Record<string, string[]>; findAgentsByCapabilities(requiredCapabilities: string[]): AgentMatchResult[]; findAgentsByDomain(domain: string): AgentMatchResult[]; findAgentsByComplexity(complexity: 'low' | 'medium' | 'high'): EnhancedAgentSpec[]; getBestAgentForTask(taskDescription: string, constraints?: TaskConstraints): AgentRecommendation | null; generateUtilizationReport(): AgentUtilizationReport; validateAgentSpecs(): ValidationReport; rescanAgentSpecs(): Promise<void>; getScanStats(): { lastScanTime: Date | null; scanInProgress: boolean; agentCount: number; capabilityCount: number; domainCount: number; averageCapabilitiesPerAgent: number; }; private scanAgentSpecs; private parseAgentSpecFile; private parseMarkdownContent; private extractMarkdownSections; private buildCapabilities; private buildCapabilityMatrix; private setupFileWatching; private debounceRescan; private extractValue; private extractList; private extractListItems; private extractTriggers; private mapComplexity; private calculateCapabilityMatch; private calculateDomainRelevance; private calculateConfidence; private generateMatchReasoning; private analyzeTaskRequirements; private inferTaskComplexity; private estimateTaskEffort; private inferTaskPriority; private applyConstraints; private removeDuplicateMatches; private calculateAverageResponseTime; private calculateAverageSuccessRate; private calculateAverageErrorRate; private calculateCapabilityDistribution; private calculateDomainCoverage; private generateOptimizationRecommendations; private validateSingleAgentSpec; private calculateSpecCompleteness; private calculateOverallHealth; private identifySystemWideIssues; private generateValidationRecommendations; } interface AgentMatchResult { agent: EnhancedAgentSpec; matchScore: number; matchedCapabilities: string[]; missingCapabilities: string[]; confidence: number; reasoning: string[]; } interface TaskAnalysis { capabilities: string[]; domains: string[]; complexity: 'low' | 'medium' | 'high'; estimatedEffort: number; priority: 'low' | 'medium' | 'high' | 'critical'; } interface TaskConstraints { maxComplexity?: 'low' | 'medium' | 'high'; requiredHealth?: 'healthy' | 'degraded' | 'unavailable' | 'any'; minConfidence?: number; } interface AgentRecommendation { agent: EnhancedAgentSpec; confidence: number; matchScore: number; reasoning: string[]; taskAnalysis: TaskAnalysis; alternatives: AgentMatchResult[]; } interface AgentUtilizationReport { totalAgents: number; healthStats: Record<string, number>; performanceStats: { averageResponseTime: number; averageSuccessRate: number; averageErrorRate: number; }; capabilityDistribution: Record<string, number>; domainCoverage: Record<string, number>; lastUpdated: Date; recommendations: string[]; } interface AgentValidationResult { agentName: string; isValid: boolean; errors: string[]; warnings: string[]; completeness: number; } interface ValidationReport { results: AgentValidationResult[]; overallHealth: 'excellent' | 'good' | 'fair' | 'poor'; issues: string[]; recommendations: string[]; timestamp: Date; } export {}; //# sourceMappingURL=enhanced-agent-spec-manager.d.ts.map