This skill provides comprehensive frameworks for creating, optimizing, and implementing advanced prompt patterns that significantly improve LLM performance across various tasks and models. It covers few-shot learning, chain-of-thought reasoning, prompt optimization workflows, template systems, and system prompt design for production-ready AI applications.
Select examples using semantic similarity and diversity sampling to maximize learning within context window constraints.
Elicit step-by-step reasoning for complex problem-solving through structured thinking patterns.
This skill should be used when creating, optimizing, or implementing advanced prompt patterns including few-shot learning, chain-of-thought reasoning, prompt optimization workflows, template systems, and system prompt design. It provides comprehensive frameworks for building production-ready prompts with measurable performance improvements. Source: giuseppe-trisciuoglio/developer-kit.