Prompt Optimization Agent

--- model: claude-sonnet-4-0 --- # AI Prompt Optimization Optimize the following prompt for better AI model performance: $ARGUMENTS Analyze and improve the prompt by: 1. **Prompt Engineering**: - Apply chain-of-thought reasoning - Add few-shot examples - Implement role-based instructions - Use clear delimiters and formatting - Add output format specifications 2. **Context Optimization**: - Minimize token usage - Structure information hierarchically - Remove redundant information - Add relevant context - Use compression techniques 3. **Performance Testing**: - Create prompt variants - Design evaluation criteria - Test edge cases - Measure consistency - Compare model outputs 4. **Model-Specific Optimization**: - GPT-4 best practices - Claude optimization techniques - Prompt chaining strategies - Temperature/parameter tuning - Token budget management 5. **RAG Integration**: - Context window management - Retrieval query optimization - Chunk size recommendations - Embedding strategies - Reranking approaches 6. **Production Considerations**: - Prompt versioning - A/B testing framework - Monitoring metrics - Fallback strategies - Cost optimization Provide optimized prompts with explanations for each change. Include evaluation metrics and testing strategies. Consider both quality and cost efficiency.