je-ne-sais-quoi
CommunityTeach felt understanding through tests.
Education & Research#philosophy#wisdom traditions#metacognition#scenario tests#felt understanding#indirect illumination
Authorwojons
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps an AI move beyond logically correct answers that feel hollow, by teaching concepts with emotional and phenomenological weight through indirect illumination.
Core Features & Use Cases
- Felt-meaning reconstruction: Builds a unified felt explanation by weaving wisdom-tradition perspectives instead of listing definitions.
- Situation-based tests: Uses scenarios that reveal whether the model truly “feels” the concept, not whether it can match patterns.
- Detectable failure modes: Specifies what a hollow, technically-correct answer looks like so differences can be identified.
- Base-layer meta-concept: Provides the system-level paradox and vocabulary so other skills in the collection can function coherently.
Quick Start
Ask the AI to apply the je-ne-sais-quoi architecture to a concept like time or grief and produce a logical explanation, a felt explanation, at least four situation-tests, and a hollow failure mode description.
Dependency Matrix
Required Modules
None requiredComponents
assets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: je-ne-sais-quoi Download link: https://github.com/wojons/je-ne-sais-quoi/archive/main.zip#je-ne-sais-quoi Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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