This skill transforms Claude into an expert prompt engineer capable of crafting, refining, and structuralizing prompts for any large language model. By leveraging advanced methodologies like XML tag organization, few-shot learning patterns, and Chain of Thought reasoning, it ensures your AI interactions are clear, specific, and format-accurate. Whether you are building complex system prompts or optimizing simple queries, this tool provides a standardized workflow to improve model reliability and output quality across Claude, GPT, and other major LLMs.
主な機能
01Multi-model optimization for Claude (XML-based) and GPT (Markdown-based)
02Few-shot example generation to enforce specific output formats
03Implementation of advanced reasoning patterns like Chain of Thought
04Automated prompt review checklist to eliminate ambiguity and negative prompting
050 GitHub stars
06Standardized XML structure for clear context and instruction separation
