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NeoVertex1/SuperPrompt

A sophisticated prompt engineering framework designed to guide LLMs, particularly Claude, into deeper, more novel, and "outside-the-box" thinking using holographic metadata and structured reasoning tags.

Core Features

Employs "holographic metadata" for dynamic, context-aware prompt adaptation.

Utilizes structured XML-like tags (e.g., <think>) to facilitate deeper LLM reasoning.

Aims to elicit novel perspectives and "outside-the-box" ideas from AI agents.

Supports "tree-of-thought" exploration within LLMs for comprehensive analysis.

Primarily optimized for Claude but compatible with other large language models.

Detailed Introduction

SuperPrompt is an innovative prompt engineering framework that empowers Large Language Models (LLMs) to transcend conventional responses. By integrating "holographic metadata" and specialized reasoning tags, it dynamically adapts to user queries, compelling LLMs like Claude to engage in "metamorphic abstract reasoning" and "infinite conceptual evolution." This approach encourages the AI to explore uncharted conceptual territories, fostering the generation of unique, often unconventional, insights and ideas, effectively acting as a "soft jailbreak" to unlock deeper cognitive processes within the model.