What problem does it solve? Foundational image and video models like Midjourney, Sora, Runway, and DALL-E default to stereotypes, clone faces, gibberish cultural text, and inaccurate environments when depicting diverse people. This Skill provides a rigorous prompt-engineering methodology to counter those systemic biases and produce dignified, authentic representation. ## Core Features & Use Cases - Annotated Prompt Architectures: Structures prompts by Subject, Action, Context, Camera, and Style with explicit negative constraints. - Negative-Prompt Libraries: Blocks AI artifacts such as clone faces, fake cultural symbols, gibberish text, and exoticizing lighting. - Video Physics Definitions: Specifies temporal consistency for clothing, hair, and mobility aids in Sora and Runway generations. - Use Case: A marketing team needs a video of a Black female executive in Nairobi for a campaign. The Skill produces a structured prompt defining her appearance, the authentic setting, camera specs, lighting graded for her skin tone, and negative constraints preventing stock-photo tropes and cloned background actors. ## Quick Start Ask the specialist to build an inclusive image or video prompt for your creative brief, specifying the subject, cultural context, and target platform.