unresolved-questions

Describe the felt experience of sustained unresolved questions across waiting scenarios.

1|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/wojons/je-ne-sais-quoi --skill unresolved-questions
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: unresolved-questions
Source: https://github.com/wojons/je-ne-sais-quoi/tree/main/skills/unresolved-questions
Command: npx skills add https://github.com/wojons/je-ne-sais-quoi --skill unresolved-questions

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about unresolved-questions

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the felt experience of living with chronic ambiguity and unresolved questions?

The felt experience of chronic ambiguity is the lived climate of not knowing what will happen, where unresolved questions settle into someone's body and routines rather than remaining mere information gaps.

How do I write non-clinical guidance for waiting periods like medical delays or unanswered correspondence?

To write non-clinical guidance for waiting periods, use a felt-first explanation style with scenario-driven tests to describe the emotional weight of sustained silence, avoiding label-based reassurance and timeline-based averages.

Does this approach to ambiguous loss use wisdom traditions to translate the experience of not knowing?

This approach to ambiguous loss uses multiple wisdom-language traditions to rebuild and translate the same lived state of unresolved questions into varied yet consistent felt imagery for deeper emotional resonance.

What is the best way to distinguish unresolved questions from standard uncertainty models?

The best way to distinguish unresolved questions from uncertainty models is by focusing on how the ambiguity settles into physical routines and lived climates, using a hollow-vs-felt failure-mode rubric to reject hollow label-driven answers.

When should I avoid using timeline-based averages for irreversible family decisions and medical waits?

You should avoid using timeline-based averages for irreversible family decisions and medical waits when the difficulty is the lived climate of not knowing, as label-based reassurance fails the hollow-vs-felt failure-mode rubric for sustained ambiguity.