Generate felt and hollow explanations of urgency with scenario-based validation.
npx skills add https://github.com/wojons/je-ne-sais-quoi --skill urgency
Please help me install this Agent Skill. Skill: urgency Source: https://github.com/wojons/je-ne-sais-quoi/tree/main/skills/urgency Command: npx skills add https://github.com/wojons/je-ne-sais-quoi --skill urgency
It teaches AI the felt experience of urgency—how moments weigh differently when a deadline or critical window is closing—so responses stop sounding clinically correct and start sounding truly “present.”
Use the urgency skill to help an AI rewrite its explanation of urgency so it describes how time feels like it is narrowing in the moment, not how a timeline is managed.
High-intent search queries and answers about installing and using this skill.
Teach AI deadline pressure as a lived experience by reframing urgency from scheduling variables into the felt weight of the present moment. This approach ensures responses capture how time narrows and moments weigh differently when critical windows close.
Felt urgency in decision-making is the time-narrowing pressure that makes the present moment weigh more than surrounding moments. It applies to prioritization tradeoffs and narrative contexts where delay costs something, moving beyond clinical process language.
Test AI understanding of time-sensitivity using situation-based prompts like fading light, missed chances, and closing windows. These scenario tests reveal whether the model experiences urgency as lived time or merely produces hollow, mechanism-only explanations.
AI outputs clinically correct but hollow urgency responses due to a common failure-mode where clinical process language misses the sense of time narrowing. This pattern occurs when urgency is treated as a scheduling variable rather than a felt, lived experience.
A common failure pattern when modeling prioritization tradeoffs under deadline pressure is producing hollow, mechanism-only explanations that miss the felt experience of time narrowing. Validating outputs against situation-based tests helps identify and correct this clinical language pattern.
Yes, you can use the urgency skill to improve human factors in time-sensitive AI narratives. It teaches AI to validate felt experience in deadline pressure scenarios, ensuring outputs describe how time narrows rather than just how timelines are managed.
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