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This skill automates a sophisticated 5-agent orchestration pattern to diagnose performance issues in complex, multi-stage data systems. By spawning parallel agents to analyze instrumentation, database configurations, client libraries, and batch sizes simultaneously, it provides an evidence-based integration report that prioritizes optimizations by impact (P0-P2). This methodology helps developers avoid the common pitfall of premature optimization by identifying the true root cause of performance gaps, ensuring that engineering efforts are focused on the stages that provide the highest return on investment for meeting Service Level Objectives.
