Prompt engineering feels like guesswork for most people. Try a prompt. Get mediocre results. Tweak it. Try again. Repeat until something decent happens. Meanwhile billion-dollar AI companies have perfected their prompt structures through millions of iterations. Now Claude's entire system is public. Someone leaked the full system prompts they use across all their products. Code Opus 4.5 Sonnet. Memory system. Plan mode. Web search. Everything. All sitting in a GitHub repository. Free to study and use. These aren't course examples or blog post suggestions. They're the actual production prompts running inside a billion-dollar AI company. You can see exactly how they structure prompts for reasoning, coding, planning, and execution. The gap between amateur AI use and professional results comes down to prompt structure. Most people don't realize the best prompt engineering education is studying what actually works at scale. So if you want access, comment 'PROMPTS' below and I'll send you the direct GitHub link. Learning prompt engineering shouldn't mean starting from zero. Not when the best examples in the world are already public. - @jamesmwild