feeling-engine
Ground emotional creative in language evidence, affective science, and cultural context.
Ground emotional creative in language evidence, affective science, and cultural context.
Build a structured profile for a feeling from lexicons, first-person language, affective frameworks, and visual references, then generate creative that separates it from nearby emotions and avoids named clichés. Five profiles and blind comparison records are included. Current validation uses independent model judges rather than market or human studies; the era/cohort layer is fully grounded only for coziness and remains stubbed for the other four feelings.
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Turns one idea into a clean peanut-led concept illustration.
Keeps generated UI aligned with explicit design rules.
Capabilities
Public GitHub facts last synced Jul 10, 2026.
Route a design brief through color, effects, typography, and icon skills in a coherent order.
Plan product design projects in Claude with reusable PRCSS workflows.