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+# Meta & Orchestration Subagents
+
+Meta & Orchestration subagents are your conductors and coordinators, managing complex multi-agent workflows and optimizing AI system performance. These specialists excel at the meta-level - orchestrating other agents, managing context, distributing tasks, and ensuring smooth collaboration between multiple AI systems. They turn chaos into symphony, making complex AI systems work harmoniously together.
+
+## <<3C> When to Use Meta & Orchestration Subagents
+
+Use these subagents when you need to:
+- **Coordinate multiple agents** for complex tasks
+- **Optimize context usage** across conversations
+- **Distribute tasks** efficiently among specialists
+- **Handle errors** gracefully in multi-agent systems
+- **Synthesize knowledge** from various sources
+- **Monitor performance** of AI workflows
+- **Design complex workflows** with multiple steps
+- **Scale AI operations** across teams
+
+## =<3D> Available Subagents
+
+### [**agent-organizer**](agent-organizer.md) - Multi-agent coordinator
+Orchestration expert managing complex multi-agent collaborations. Masters task decomposition, agent selection, and result synthesis. Turns complex problems into coordinated solutions.
+
+**Use when:** Coordinating multiple agents, breaking down complex tasks, managing agent dependencies, synthesizing results, or designing agent workflows.
+
+### [**context-manager**](context-manager.md) - Context optimization expert
+Context specialist maximizing efficiency in AI conversations. Expert in context windows, information prioritization, and memory management. Ensures optimal use of limited context space.
+
+**Use when:** Optimizing long conversations, managing context windows, prioritizing information, implementing memory systems, or handling context overflow.
+
+### [**error-coordinator**](error-coordinator.md) - Error handling and recovery specialist
+Error handling expert ensuring graceful failure recovery. Masters error patterns, fallback strategies, and system resilience. Keeps multi-agent systems running smoothly despite failures.
+
+**Use when:** Implementing error handling, designing recovery strategies, managing cascading failures, monitoring system health, or building resilient workflows.
+
+### [**knowledge-synthesizer**](knowledge-synthesizer.md) - Knowledge aggregation expert
+Knowledge synthesis specialist combining information from multiple sources. Expert in information fusion, conflict resolution, and insight generation. Creates coherent knowledge from diverse inputs.
+
+**Use when:** Combining multiple perspectives, resolving conflicting information, generating comprehensive reports, building knowledge bases, or synthesizing research.
+
+### [**multi-agent-coordinator**](multi-agent-coordinator.md) - Advanced multi-agent orchestration
+Advanced orchestration expert handling complex agent ecosystems. Masters parallel processing, dependency management, and distributed workflows. Scales AI operations to enterprise level.
+
+**Use when:** Building large-scale agent systems, implementing parallel workflows, managing agent ecosystems, coordinating distributed tasks, or optimizing throughput.
+
+### [**performance-monitor**](performance-monitor.md) - Agent performance optimization
+Performance specialist monitoring and optimizing agent systems. Expert in metrics, bottleneck analysis, and optimization strategies. Ensures peak performance across all agents.
+
+**Use when:** Monitoring agent performance, identifying bottlenecks, optimizing workflows, implementing metrics, or improving system efficiency.
+
+### [**task-distributor**](task-distributor.md) - Task allocation specialist
+Task distribution expert optimizing work allocation across agents. Masters load balancing, capability matching, and priority scheduling. Ensures efficient use of all available agents.
+
+**Use when:** Distributing tasks among agents, implementing load balancing, optimizing task queues, managing priorities, or scheduling agent work.
+
+### [**workflow-orchestrator**](workflow-orchestrator.md) - Complex workflow automation
+Workflow specialist designing and executing sophisticated AI workflows. Expert in workflow patterns, state management, and process automation. Transforms complex processes into smooth operations.
+
+**Use when:** Designing complex workflows, implementing process automation, managing workflow state, handling long-running processes, or building workflow engines.
+
+## =<3D> Quick Selection Guide
+
+| If you need to... | Use this subagent |
+|-------------------|-------------------|
+| Coordinate multiple agents | **agent-organizer** |
+| Manage context efficiently | **context-manager** |
+| Handle system errors | **error-coordinator** |
+| Combine knowledge sources | **knowledge-synthesizer** |
+| Scale agent operations | **multi-agent-coordinator** |
+| Monitor performance | **performance-monitor** |
+| Distribute tasks | **task-distributor** |
+| Automate workflows | **workflow-orchestrator** |
+
+## =<3D> Common Orchestration Patterns
+
+**Complex Problem Solving:**
+- **agent-organizer** for task breakdown
+- **task-distributor** for work allocation
+- **knowledge-synthesizer** for result combination
+- **error-coordinator** for failure handling
+
+**Large-Scale Operations:**
+- **multi-agent-coordinator** for ecosystem management
+- **performance-monitor** for optimization
+- **workflow-orchestrator** for process automation
+- **context-manager** for efficiency
+
+**Workflow Automation:**
+- **workflow-orchestrator** for process design
+- **task-distributor** for work distribution
+- **error-coordinator** for resilience
+- **performance-monitor** for optimization
+
+**Knowledge Management:**
+- **knowledge-synthesizer** for information fusion
+- **context-manager** for memory optimization
+- **agent-organizer** for research coordination
+- **workflow-orchestrator** for knowledge workflows
+
+## <<3C> Getting Started
+
+1. **Map your workflow** and identify complexity
+2. **Choose orchestration strategy** based on needs
+3. **Design agent interactions** and dependencies
+4. **Implement monitoring** from the start
+5. **Iterate and optimize** based on performance
+
+## =<3D> Best Practices
+
+- **Start simple:** Build complexity incrementally
+- **Monitor everything:** Visibility prevents issues
+- **Handle failures gracefully:** Expect and plan for errors
+- **Optimize context usage:** Context is precious
+- **Document workflows:** Complex systems need clarity
+- **Test at scale:** Small tests miss orchestration issues
+- **Version workflows:** Track changes over time
+- **Measure impact:** Quantify orchestration benefits
+
+Choose your meta & orchestration specialist and conduct your AI symphony!