agent-orchestration-improve-agent

1# Agent Performance Optimization Workflow
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3Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
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5[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.]
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7## Use this skill when
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9- Improving an existing agent's performance or reliability
10- Analyzing failure modes, prompt quality, or tool usage
11- Running structured A/B tests or evaluation suites
12- Designing iterative optimization workflows for agents
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14## Do not use this skill when
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16- You are building a brand-new agent from scratch
17- There are no metrics, feedback, or test cases available
18- The task is unrelated to agent performance or prompt quality
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20## Instructions
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221. Establish baseline metrics and collect representative examples.
232. Identify failure modes and prioritize high-impact fixes.
243. Apply prompt and workflow improvements with measurable goals.
254. Validate with tests and roll out changes in controlled stages.
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27## Safety
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29- Avoid deploying prompt changes without regression testing.
30- Roll back quickly if quality or safety metrics regress.
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32## Phase 1: Performance Analysis and Baseline Metrics
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34Comprehensive analysis of agent performance using context-manager for historical data collection.
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