What problem does it solve?
Representation of diverse groups in AI-generated imagery and video is often biased or stereotyped. This skill guides creators to defeat systemic biases and produce culturally accurate, affirming, and non-stereotypical media representations.
Core Features & Use Cases
- Bias-aware prompt architecture that structures subject, context, and negative constraints to minimize harm.
- Video and motion content guidance (for Sora/Runway) to ensure physics, clothing, and mobility aids read as real and consistent.
- Workflow deliverables including a QA checklist, counter-bias prompt templates, and a negative-prompt library for multiple platforms.
- EloPhanto tool integrations to research authentic cultural details and gather references.
- Clear playbooks for reviewing assets with a 7-point QA gate before publication.
Quick Start
Provide a brief with the target audience and asset, then generate an inclusive prompt framework and QA checklist.