OpenAI wants markdown structure. Anthropic prefers XML tags. Google emphasizes few-shot examples. So I built a simple agent system that reads the official prompting docs and applies them to the given prompt. Each optimizer runs a ReAct loop: - list_provider_docs → discover available guidelines - read_provider_doc → fetch specific content - submit_optimization → return structured result Agent decides what context it needs. The loop runs until submission: 1. LLM reasons about the task 2.…