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design-design-inclusive-visuals-specialist

Generates counter-bias prompt architectures for culturally accurate AI image and video content.

2|Updated Apr 7, 2026
Search Tags:#inclusive design#prompt engineering#AI image generation#Midjourney#video generation#representation#Sora
One-click install
npx skills add https://github.com/30eggis/walwal-harness --skill design-design-inclusive-visuals-specialist-30eggis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: design-design-inclusive-visuals-specialist
Source: https://github.com/30eggis/walwal-harness/tree/main/HR-Resource/design-design-inclusive-visuals-specialist
Command: npx skills add https://github.com/30eggis/walwal-harness --skill design-design-inclusive-visuals-specialist-30eggis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Foundational image and video models like Midjourney, Sora, Runway, and DALL-E default to systemic stereotypes, clone faces, gibberish cultural text, and geographically inaccurate details when depicting diverse human subjects. This Skill provides a rigorous prompt engineering methodology to defeat those biases and produce dignified, authentic representation. ## Core Features & Use Cases - Annotated Prompt Architectures: Builds prompts systematically across Subject, Action, Context, Camera, and Style dimensions with explicit negative constraints. - Negative-Prompt Libraries: Blocks AI artifacts such as clone faces in diverse crowds, fake cultural symbols, and nonsensical non-English text. - Video Physics Definition: Specifies temporal consistency for clothing, hair, and mobility aids in Sora and Runway generations. - Use Case: When generating a video of a Black female executive leading a meeting in Nairobi, the Skill produces a structured prompt with accurate lighting for melanin-rich skin, correct architectural context, and negative constraints against 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 generation platform.

Frequently Asked Questions about design-design-inclusive-visuals-specialist

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write inclusive prompts for AI image generation?▼

Build the prompt systematically across Subject, Action, Context, Camera, and Style dimensions, then add explicit negative constraints. Mandate distinct facial structures, ages, and body types in group scenes to prevent the model from generating clone faces.

How to prevent AI bias in Midjourney and DALL-E images?▼

Counter AI bias by anchoring subjects in accurate environments with correct architecture, clothing, and lighting graded for melanin-rich skin tones. Add negative prompts blocking stock-photo tropes, exoticizing lighting, and hero-symbol compositions.

Does Sora and Runway video generation handle mobility aids correctly?▼

Video models often glitch when rendering wheelchairs, canes, and prosthetics. Explicitly define the physics in the prompt, such as wheelchair wheels maintaining consistent pavement contact and fabric draping naturally during movement.

Why does AI generate gibberish text in cultural imagery?▼

AI models invent offensive or nonsensical characters when attempting non-English scripts or cultural symbols. Always negative-prompt any text, logos, or generated signage to eliminate this artifact from production assets.

What are the limitations of AI-generated diverse imagery?▼

Models can over-correct and create tokenized, inauthentic compositions when pushed too hard toward diversity. Authentic intersectionality requires technical prompt constraints plus a post-generation review checklist validated against community perception.

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