agent-orchestration-improve-agent

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.] Comprehensive analysis of agent performance using context-manager for historical data collection. Collect metrics including: Identify recurring patterns in user interactions: Categorize failures by root cause: Generate quantitative baseline metrics: Apply advanced prompt optimization techniques using prompt-engineer agent. Implement structured reasoning patterns: Curate high-quality examples from successful interactions: Example structure: Strengthen agent identity and capabilities: Implement self-correction mechanisms: Add critique-and-revise loops: Optimize response structure: Comprehensive testing framework with A/B comparison. Create representative test scenarios: Compare original vs improved agent: Statistical significance testing: Comprehensive scoring framework: Task-Level Metrics: Quality Metrics: Performance Metrics: Structured human review process: Safe rollout with monitoring and rollback capabilities. Systematic versioning strategy: Maintain...