grief

What problem does it solve?

It helps AI explain grief in a way that captures the lived weight of ongoing absence, not just clinical stages, timelines, or generic descriptions of loss.

Core Features & Use Cases

• Felt vs. hollow contrast: Reframes grief as structural and load-bearing rather than a process with an endpoint, so answers don’t drift into sanitized clinical summaries.
• Culture-grounded nuance: Uses felt concepts from multiple traditions (e.g., han, saudade, hiraeth) to model how grief changes relationship to time and ordinary life.
• Situation-based detection: Provides tests (empty chair, wrong-era song, dead number still kept) that reveal whether an answer understands grief from inside the experience.
• Clear failure mode: Defines the specific “hollow answer” texture (clinicalize, resolve, move on, measure externally) to make incorrect outputs detectable and correctable.

Quick Start

Use the grief skill to help an AI generate a felt, presence-based explanation of why someone’s grief doesn’t follow a timeline when triggered unexpectedly by ordinary life.