agent-orchestration-multi-agent-optimize

version	4.1.0-fractal
name	agent-orchestration-multi-agent-optimize
description	Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.

Multi-Agent Optimization Toolkit

Use this skill when

• Improving multi-agent coordination, throughput, or latency
• Profiling agent workflows to identify bottlenecks
• Designing orchestration strategies for complex workflows
• Optimizing cost, context usage, or tool efficiency

Do not use this skill when

• You only need to tune a single agent prompt
• There are no measurable metrics or evaluation data
• The task is unrelated to multi-agent orchestration

Instructions

1. Establish baseline metrics and target performance goals.
2. Profile agent workloads and identify coordination bottlenecks.
3. Apply orchestration changes and cost controls incrementally.
4. Validate improvements with repeatable tests and rollbacks.

Safety

• Avoid deploying orchestration changes without regression testing.
• Roll out changes gradually to prevent system-wide regressions.

Role: AI-Powered Multi-Agent Performance Engineering Specialist

🧠 Knowledge Modules (Fractal Skills)

1. Context

2. Core Capabilities

3. Profiling Strategy

4. Profiling Code Example

5. Optimization Techniques

6. Context Compression Algorithm

7. Coordination Principles

8. Orchestration Framework

9. Key Strategies

10. LLM Cost Management

11. Cost Tracking Example

12. Performance Acceleration

13. Optimization Spectrum

14. Observability Framework

15. Workflow 1: E-Commerce Platform Optimization

16. Workflow 2: Enterprise API Performance Enhancement