Prompt Engineering

This is your go-to when you're writing prompts for other LLMs, whether that's crafting system prompts, building few-shot examples, or optimizing production templates. It covers the essential patterns like chain-of-thought reasoning, progressive disclosure, and template systems with actual examples you can adapt. The practical stuff is solid: it shows you how to iterate from simple to complex prompts, integrate with RAG systems, and avoid common mistakes like over-engineering before testing basics. Worth using whenever you're designing commands for agents or sub-agents, especially if you need consistent outputs at scale and want to squeeze better performance without burning tokens.