What problem does it solve?
It helps AI articulate the felt experience of memories that were genuinely good but become painful to access after how things ended, especially when looking back feels like being exiled from a version of yourself you can no longer reach.
Core Features & Use Cases
- Felt vs. hollow explanation contrast: Produces emotionally precise language that understands the pain as foreclosure, not “corrupted” memory.
- Situation-based recognition tests: Guides answers using concrete scenarios (photos, songs, gifts, places, letters) where mechanism-only explanations feel wrong.
- Failure-mode detection: Helps avoid clinical/pathologizing phrasing and instead describe what changed in access, meaning, and permissions.
- Use cases: Explaining grief-like pain that is specifically tied to endings; turning a “why does looking back hurt?” question into a lived, believable account.
Quick Start
Use the tainted-memory skill to explain why looking at a wedding photo after a divorce feels unbearable even though the day was real.