LLM Prompt Optimizer

SKILL.md

The LLM Prompt Optimizer skill systematically analyzes and refines prompts to maximize the quality, accuracy, and relevance of large language model outputs. It applies evidence-based optimization techniques including structural improvements, context enrichment, constraint calibration, and output format specification.

This skill goes beyond basic prompt writing by leveraging understanding of how different LLMs process instructions, their attention patterns, and their response tendencies. It helps you transform underperforming prompts into high-yield instructions that consistently produce the results you need.

Whether you are building production AI systems, conducting research, or simply want better ChatGPT responses, this skill ensures your prompts are optimized for your specific model and use case.

通过系统分析和细化优化提示，以获得更好的 LLM 输出 来源：jmsktm/claude-settings。

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