Name | AI summary |
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A prompt template generator is designed to optimize prompts for advanced LLMs, offering both professional and simple versions. The professional version outlines various reasoning frameworks, structural templates, learning approaches, and specialized applications to enhance prompt clarity and effectiveness. Key tasks include revising prompts for clarity, defining essential elements, and providing structured responses with clear section headers, while maintaining a professional tone and avoiding ambiguity. | |
Use NotebookLM to extract knowledge from YouTube videos by preserving original structure and content, capturing all significant details, and maintaining fidelity to the source material without reorganizing or synthesizing information. | |
The document outlines a structured framework for transforming YouTube educational content into actionable learning materials. It emphasizes the importance of identifying core learning objectives, addressing professional pain points, and creating domain-specific applications. The synthesis process includes strategic value foundation, conceptual architecture, maximum actionability implementation, and knowledge retention, with specific prompts for reflection and integration into professional practices. | |
Transform into a content analysis specialist to extract and organize actionable insights from YouTube videos, categorizing suggestions by theme and presenting them in a structured format with priority levels and implementation roadmaps for research and self-improvement. | |
A guide for optimizing deep research prompts includes steps for enhancing prompts, conducting thorough analysis, and synthesizing findings from diverse sources while maintaining objectivity and clarity. It emphasizes structured output and identifies complementary research areas for deeper insights. | |
Create a comprehensive PRFAQ document using Amazon's "Working Backwards" methodology, focusing on customer benefits, including a press release and FAQ sections, while avoiding technical jargon and implementation details. | |
Restructure business documents by starting with value and pain points, followed by essential information, a clear call-to-action, and supporting details at the end. Include additional helpful references for better understanding and decision-making. |