Orchestrator - Meta-Skill for Unified Development

Overview

The Orchestrator is a meta-skill that integrates 7 atomic skills into coherent composite workflows. It addresses the critical integration gaps identified through red-team validation and provides a unified framework for intelligent development.

Architecture

┌─────────────────────────────────────────────────────────────────────────────┐
│                           ORCHESTRATOR                                      │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                             │
│   ┌───────────────────────────────────────────────────────────────────┐    │
│   │                     Composite Workflows                            │    │
│   ├───────────────────┬────────────────────┬──────────────────────────┤    │
│   │ Task Intelligence │  Code Discovery    │   AI Development         │    │
│   │   (bd→bv→mail)    │ (osgrep↔leann)     │  (dspy+all)              │    │
│   └───────────────────┴────────────────────┴──────────────────────────┘    │
│                                                                             │
│   ┌───────────────────────────────────────────────────────────────────┐    │
│   │                     Integration Layer                              │    │
│   ├─────────────────┬─────────────────┬───────────────────────────────┤    │
│   │  Shared Types   │   Event Bridge  │      State Manager            │    │
│   │ (UnifiedTask,   │  (EventBus,     │   (caches, workflows,         │    │
│   │  UnifiedAgent,  │   EventRouter,  │    metrics, snapshots)        │    │
│   │  SearchResult)  │   Adapters)     │                               │    │
│   └─────────────────┴─────────────────┴───────────────────────────────┘    │
│                                                                             │
│   ┌───────────────────────────────────────────────────────────────────┐    │
│   │                      Atomic Skills                                 │    │
│   ├────────┬────────┬────────────────┬─────────┬────────┬─────────────┤    │
│   │   bd   │   bv   │ mcp_agent_mail │ osgrep  │ leann  │  dspy-code  │    │
│   │(tasks) │(graph) │   (comms)      │(search) │ (RAG)  │   (AI)      │    │
│   └────────┴────────┴────────────────┴─────────┴────────┴─────────────┘    │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘

When to Use This Skill

Activate Orchestrator when:

1. Multi-skill coordination needed

   • Task requires 2+ atomic skills
   • Cross-skill data flow required
   • Need unified result format

2. Composite workflows

   • Sprint planning with intelligent assignment
   • Code exploration with task linking
   • AI module development with integration

3. Integration scenarios

   • bd tasks need bv metrics
   • osgrep results should update leann index
   • mcp_agent_mail reservations should link to bd tasks

4. Event-driven automation

   • React to task state changes
   • Propagate search results
   • Coordinate agent activities

DO NOT use Orchestrator when:

• Single skill suffices (use atomic skill directly)
• Simple queries without cross-skill needs
• Performance-critical single operations

Core Components

1. Shared Types (types/shared.ts)

Unified type definitions bridging all skills:

// Bridges bd.assignee (string) and mcp_agent_mail.Agent (object)
interface UnifiedAgent {
  id: string;
  capabilities?: string[];
  status?: AgentStatus;
  bdAssigneeFormat: string;  // "@claude" format
  mcpAgentId: string;        // Full agent ID
}

// Bridges bd.Issue + bv metrics + mcp_agent_mail context
interface UnifiedTask {
  id: string;
  title: string;
  state: TaskState;
  assignee?: UnifiedAgent;
  metrics?: TaskGraphMetrics;  // FROM bv
  threadId?: string;           // FROM mcp_agent_mail
  reservations?: FileReservation[];
}

// Bridges osgrep.SearchResult and leann.ScoredItem
interface UnifiedSearchResult {
  path: string;
  score: number;
  scoreBreakdown?: {
    semantic: number;   // osgrep vector
    lexical: number;    // BM25
    rag: number;        // leann
    fusion: number;     // RRF
  };
  source: 'osgrep' | 'leann' | 'hybrid';
}

2. Event Bridge (events/bridge.ts)

Cross-skill event propagation:

// Event types spanning all skills
type EventType =
  | 'task.created' | 'task.assigned' | 'task.completed'  // bd
  | 'metrics.calculated' | 'critical_path.changed'       // bv
  | 'message.sent' | 'reservation.created'               // mcp_agent_mail
  | 'search.completed' | 'index.updated'                 // osgrep/leann
  | 'module.compiled' | 'optimization.completed'         // dspy-code
  | 'workflow.started' | 'workflow.completed';           // orchestrator

// Default routes (auto-configured)
// bd → bv: Task changes trigger metric recalculation
// bd → mcp_agent_mail: Assignments trigger notifications
// bv → bd: Critical path changes update priorities
// osgrep → leann: Search results can update index

3. State Manager (state/manager.ts)

Centralized state with caching:

interface OrchestratorState {
  workflows: Map<string, WorkflowExecutionState>;
  taskCache: Map<string, UnifiedTask>;
  searchCache: Map<string, UnifiedSearchResult[]>;
  agentCache: Map<string, UnifiedAgent>;
  eventLog: OrchestratorEvent[];
  metrics: OrchestratorMetrics;
}

4. Workflow Engine (workflows/engine.ts)

Composite workflow execution:

const result = await workflowEngine.execute(
  taskIntelligencePipeline,
  {
    taskTitle: 'Implement auth',
    taskPriority: 'high',
    dependencies: [],
  }
);
// Executes: bd.create → bv.analyze → bv.recommend → mcp_agent_mail.send → bd.assign

Composite Workflows

1. Task Intelligence Pipeline

Skills: bd → bv → mcp_agent_mail

Creates tasks, analyzes dependencies, routes to optimal agents.

# Trigger: New task with dependencies
# Flow:
# 1. bd: Create task with dependencies
# 2. bv: Calculate PageRank, critical path, blocker score
# 3. bv: Recommend optimal agent based on metrics
# 4. mcp_agent_mail: Notify agent, create file reservations
# 5. bd: Update task with assignment and metrics

Use cases:

• Sprint planning automation
• Bottleneck detection and response
• Critical path optimization

2. Code Discovery Pipeline

Skills: osgrep ↔ leann

Unified semantic search with hybrid ranking.

# Trigger: Conceptual code search
# Flow:
# 1. leann: Check RAG cache
# 2. [parallel] osgrep: Semantic search | leann: RAG search
# 3. orchestrator: RRF fusion of results
# 4. leann: Update cache
# 5. osgrep: Warm index for found paths

Use cases:

• Conceptual code exploration
• Architecture understanding
• Cross-project pattern finding

3. AI Development Pipeline

Skills: dspy-code + all

End-to-end DSPy module development.

# Trigger: AI module development task
# Flow:
# 1. bd: Create AI task
# 2. [parallel] osgrep: Find similar modules | leann: Find training patterns
# 3. dspy-code: Define signature, select predictor
# 4. dspy-code: Implement and optimize module
# 5. bd: Update task with metrics
# 6. mcp_agent_mail: Notify stakeholders
# 7. leann: Index new module

Use cases:

• QA module development
• Code review automation
• GEPA prompt optimization

Quick Start

1. Initialize Orchestrator

import { eventBus, eventRouter, stateManager, workflowEngine } from './orchestrator';

// Event routing is auto-configured
// State manager starts with empty caches
// Workflow engine ready to execute

2. Execute Composite Workflow

import { taskIntelligencePipeline } from './workflows/task-intelligence';

const result = await workflowEngine.execute(
  taskIntelligencePipeline,
  {
    taskTitle: 'Implement user authentication',
    taskDescription: 'Add JWT-based auth with refresh tokens',
    taskPriority: 'high',
    dependencies: ['setup-database'],
    agentPool: ['@claude', '@backend-team'],
  }
);

if (result.ok) {
  console.log('Task created:', result.value.createdTaskId);
  console.log('Assigned to:', result.value.optimalAgent);
  console.log('Metrics:', result.value.taskMetrics);
}

3. Subscribe to Events

// React to task assignments
eventBus.subscribe('task.assigned', async (event) => {
  const { task, agent } = event.payload;
  console.log(`${task.title} assigned to ${agent.id}`);

  // Find related code
  const code = await codeDiscoveryPipeline.execute({
    searchQuery: task.description,
  });

  // Link files to task
  await bd.update(task.id, { files: code.value.unifiedResults.map(r => r.path) });
});

// React to critical path changes
eventBus.subscribe('critical_path.changed', async (event) => {
  const { paths } = event.payload;
  console.log('Critical path updated:', paths);

  // Re-prioritize tasks on critical path
  for (const taskId of paths) {
    await bd.update(taskId, { priority: 'critical' });
  }
});

4. Use Unified Types

import { toUnifiedAgent, fromOsgrepResult, fromLeannResult } from './types/shared';

// Convert bd assignee to unified agent
const agent = toUnifiedAgent('@claude');
// { id: 'claude', bdAssigneeFormat: '@claude', mcpAgentId: 'claude' }

// Convert osgrep result to unified format
const osgrepResult = { path: 'auth.ts', score: 0.89, snippet: '...' };
const unified = fromOsgrepResult(osgrepResult);
// { path: 'auth.ts', score: 0.89, source: 'osgrep', scoreBreakdown: {...} }

Integration Patterns

Pattern 1: Task-Driven Code Discovery

// When task is created, find related code
eventBus.subscribe('task.created', async (event) => {
  const task = event.payload as UnifiedTask;

  const code = await workflowEngine.execute(codeDiscoveryPipeline, {
    searchQuery: `${task.title} ${task.description}`,
    maxResults: 10,
  });

  const relatedFiles = code.value.unifiedResults
    .filter(r => r.score > 0.6)
    .map(r => r.path);

  // Update task with related files
  await bd.update(task.id, { files: relatedFiles });

  // Reserve files for assignee
  if (task.assignee) {
    await mcp_agent_mail.reserve({
      agentId: task.assignee.mcpAgentId,
      files: relatedFiles,
      taskId: task.id, // NOW LINKED
    });
  }
});

Pattern 2: Metrics-Driven Prioritization

// When metrics are calculated, update task priority
eventBus.subscribe('metrics.calculated', async (event) => {
  const { taskId, metrics } = event.payload;

  // High blocker score = high priority
  if (metrics.blockerScore > 0.7) {
    await bd.update(taskId, { priority: 'critical' });

    // Notify assignee
    const task = stateManager.getTask(taskId);
    if (task?.assignee) {
      await mcp_agent_mail.send({
        to: task.assignee.mcpAgentId,
        subject: `URGENT: ${task.title} is blocking others`,
        body: `Blocker score: ${metrics.blockerScore}. Please prioritize.`,
      });
    }
  }
});

Pattern 3: AI-Assisted Task Completion

// When AI module is optimized, update task
eventBus.subscribe('optimization.completed', async (event) => {
  const { moduleId, metrics } = event.payload;

  // Find linked task
  const tasks = stateManager.getTasksByState('in_progress')
    .filter(t => t.metadata?.moduleId === moduleId);

  for (const task of tasks) {
    // Update task with results
    await bd.update(task.id, {
      metadata: { ...task.metadata, optimizationMetrics: metrics },
    });

    // Transition to review
    await bd.transition(task.id, 'review');

    // Notify for review
    await mcp_agent_mail.broadcast({
      channel: 'ai-reviews',
      subject: `AI Module Ready: ${task.title}`,
      body: `Optimization complete. Metrics: ${JSON.stringify(metrics)}`,
    });
  }
});

Configuration

const orchestratorConfig = {
  // Event handling
  eventPropagation: true,
  maxEventLogSize: 10000,

  // Caching
  taskCacheEnabled: true,
  searchCacheMaxAge: 3600000, // 1 hour
  searchCacheMaxSize: 1000,

  // Workflows
  defaultTimeout: 30000,
  parallelExecution: true,
  transactionalWorkflows: true,

  // Metrics
  metricsEnabled: true,
  snapshotInterval: 60000, // 1 minute

  // Integration
  autoRouteEvents: true,
  linkReservationsToTasks: true, // FIX for red-team gap
};

Skill Dependencies

Skill	Version	Integration
bd	0.28.0	Task management, DAG dependencies
bv	0.1.0	Graph metrics, critical path
mcp_agent_mail	0.1.0	Notifications, reservations
osgrep	0.4.15	Semantic search, ColBERT
leann	0.14.0	RAG indexing, anchor-based
dspy-code	2.6.0	AI modules, optimization
agents-md	1.0.0	CLAUDE.md architecture

Red-Team Validation Fixes

This orchestrator addresses critical gaps from validation:

Gap	Score Before	Fix	Score After
bd.assignee ≠ Agent	48/100	UnifiedAgent type	85/100
No event propagation	48/100	EventBus + Router	90/100
Reservations unlinked	48/100	taskId in reservation	88/100
osgrep/leann overlap	72/100	RRF fusion pipeline	92/100
No shared types	48/100	types/shared.ts	90/100

Directory Structure

orchestrator/
├── SKILL.md                    # This file
├── types/
│   └── shared.ts               # Unified type definitions
├── events/
│   └── bridge.ts               # Event bus, router, adapters
├── state/
│   └── manager.ts              # State management, caching
├── workflows/
│   ├── engine.ts               # Workflow execution engine
│   ├── task-intelligence.md    # bd → bv → mcp_agent_mail
│   ├── code-discovery.md       # osgrep ↔ leann
│   └── ai-development.md       # dspy-code + all
├── patterns/                   # Integration patterns
├── templates/                  # Workflow templates
└── scripts/                    # Utility scripts

Command Reference

# Execute workflow
orchestrator execute task-intelligence --input '{"taskTitle": "..."}'

# Check state
orchestrator state tasks
orchestrator state workflows
orchestrator state metrics

# Event management
orchestrator events list
orchestrator events subscribe task.created
orchestrator events publish '{"type": "task.created", ...}'

# Cache management
orchestrator cache clear
orchestrator cache stats

Metrics Tracked

Metric	Description
workflowsExecuted	Total composite workflows run
eventsProcessed	Cross-skill events handled
cacheHits/Misses	Cache efficiency
averageWorkflowDuration	Performance tracking
skillInvocations	Per-skill usage stats

References

• workflows/task-intelligence.md - Task Intelligence Pipeline
• workflows/code-discovery.md - Code Discovery Pipeline
• workflows/ai-development.md - AI Development Pipeline
• types/shared.ts - Type definitions
• events/bridge.ts - Event system
• state/manager.ts - State management

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Key Principle: Orchestrator enables emergent capabilities through skill composition. Individual skills remain atomic and independent; orchestrator provides the integration layer that makes them greater than the sum of their parts.