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Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Agent Performance Optimization Workflow Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration. [Extended thinking: Agent optimization requires a data-driven approach combining performance metrics, user feedback analysis, and advanced prompt engineering techniques. Success depends on systematic evaluation, targeted improvements, and rigorous testing with rollback capabilities for production safety.] Use this skill when Improving an existing agent's performance or reliability Analyzing failure modes, prompt quality, or tool usage Running structured A/B tests or evaluation suites Designing iterative optimization workflows for agents Do not use this skill when You are building a brand-new agent from scratch There are no metrics, feedback, or test cases available The task is unrelated to agent performance or prompt quality
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