research-first-principle-deconstructor

What problem does it solve?

This Skill helps researchers and innovators break free from incremental thinking by systematically challenging assumptions and rebuilding ideas from fundamental principles, leading to truly novel solutions.

Core Features & Use Cases

• Assumption Extraction: Identifies and lists implicit assumptions in a research idea.
• Truth Reduction: Distills ideas down to irreducible physical, mathematical, or logical constraints.
• Radical Recombination: Generates novel approaches by recombining fundamental truths, deliberately violating conventional assumptions.
• Depth Drilling: Poses probing questions to uncover root-cause mechanics and theoretical limits.
• Use Case: A researcher proposes to improve an AI model by adding a new penalty function. This Skill will deconstruct that idea, expose its underlying assumptions about reasoning and hallucinations, identify fundamental truths about LLMs, propose radical alternative architectures, and ask deep questions about the mechanism of improvement.

Quick Start

Use the research-first-principle-deconstructor skill to analyze my research idea about improving LLM reasoning.