wonder-and-awe

What problem does it solve?

This Skill helps an AI understand the felt experience of wonder and awe (the lived calibration of being made small by something larger) instead of producing hollow, externally-described “awe” responses.

Core Features & Use Cases

• Felt vs. hollow explanations: Teaches the difference between lived sensations and clinical or academic paraphrase.
• Cross-tradition embodiment: Uses wisdom traditions to model how wonder presents as atmosphere, recognition, dissolution, or boundlessness.
• Situation-based tests: Provides scenario prompts that reveal whether the model can generate experience-from-the-inside rather than stimulus-and-label outputs.
• Failure-mode guidance: Defines the common “correct but empty” response texture so the AI can avoid it.

Quick Start

Use the wonder-and-awe skill when you need the AI to describe a moment of vastness as an embodied, inside-out experience rather than a labeled emotional summary.