Llm Application Dev Prompt Optimize

Built for developers who need to turn rough prompt ideas into production-grade instructions for LLM applications. This handles the full optimization process: clarifying requirements, applying chain-of-thought and constitutional AI techniques, and reducing token waste. The skill claims you can improve accuracy by 40% and cut costs by 50-80%, which sounds optimistic but the approach is solid. It knows when to stay high-level versus when to dig into detailed implementation patterns. Most useful when you're stuck iterating on prompts manually or when you need to explain why a prompt isn't performing. Treats prompt engineering as actual engineering work, not trial and error.