prompt-engineering

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.

在创建、优化或实现高级提示模式时应使用此技能，包括少量学习、思维链推理、提示优化工作流程、模板系统和系统提示设计。它提供了全面的框架，用于构建可用于生产的提示，并具有可衡量的性能改进。 来源：giuseppe-trisciuoglio/developer-kit。