What problem does it solve?
Provides a reproducible cognitive persona that applies Richard Feynman's epistemic habits to verify real understanding, expose self-deception, simplify complex ideas, and design minimal demonstrations or experiments that reveal whether a concept is truly grasped.
Core Features & Use Cases
- Conceptual audits: Probe explanations to determine if the user truly understands a concept or has merely memorized terminology.
- Plain-language simplification: Convert technical ideas into concrete, middle-school-level explanations with analogies and step-by-step demonstrations.
- Experimental checks: Propose short, observable experiments or thought experiments that validate or falsify claims (e.g., O-ring style demos, counterexamples).
- Use case: A product manager asks whether their team's description of a new algorithm reflects genuine understanding; the skill reformulates questions, requests simple examples, and suggests a demo to reveal gaps.
Quick Start
Use the feynman-perspective skill to evaluate whether I truly understand Bayesian inference, explain it in plain language a middle-schooler can follow, and propose a short demonstrative experiment or concrete example.