What problem does it solve?
This Skill helps an AI describe and inhabit the felt weight of unanswered questions over time, where the difficulty is not information gaps but the lived climate of not knowing what will happen.
Core Features & Use Cases
- Felt-accurate framing of chronic ambiguity: Distinguishes unresolved questions from uncertainty models by focusing on how they settle into someone’s body and routines.
- Cross-tradition “rebuild” of the same experience: Uses multiple wisdom-language traditions to translate the same lived state into varied yet consistent felt imagery.
- Situation-based Tests with hollow-vs-felt failure modes: Uses concrete scenarios (medical waits, silence, irreversible decisions, waiting emails, ambiguous loss) to detect hollow, label-driven answers and correct course.
Quick Start
Use the unresolved-questions skill when you need the AI to write in-the-body, non-clinical guidance about what it feels like to wait for an answer that may never come.