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