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MohamedAbdallah-14
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brand-consistency

Enforce brand consistency across generated assets using palettes, typography, and style references.

16|Updated Apr 20, 2026
Search Tags:#design#branding#consistency#brand#palette#style-reference#asset-management
One-click install
npx skills add https://github.com/MohamedAbdallah-14/prompt-to-asset --skill brand-consistency
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: brand-consistency
Source: https://github.com/MohamedAbdallah-14/prompt-to-asset/tree/main/.cursor/skills/brand-consistency
Command: npx skills add https://github.com/MohamedAbdallah-14/prompt-to-asset --skill brand-consistency

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) components.

What problem does it solve?

Maintain visual coherence across a multi-asset brand set (logo + app icon + favicon + illustrations) by building a BrandBundle and enforcing cross-model palette and style consistency.

Core Features & Use Cases

  • BrandBundle definition including palette, typography, style_refs, and do_not
  • Palette enforcement per model across Recraft, Flux, Ideogram, Midjourney, and more
  • Canonical anchor management and promotion of accepted assets into the reference set
  • Validation through CSD similarity and ΔE2000 checks, with convergence assessment
  • Asset-type adaptation and model-specific handles for consistent generation
  • Tooling for LoRA training and set-wide consistency when asset counts grow

Quick Start

Create a BrandBundle with a canonical anchor and palette, then start generating assets that conform to the brand rules.

Frequently Asked Questions about brand-consistency

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

FAQPage Schema
How do I maintain brand consistency across multiple generated assets like logos and app icons?▼

Cross-asset brand consistency is maintained by defining a BrandBundle with palette, typography, and style references, then validating generated assets against these configured brand rules.

How does palette and style enforcement work across different AI image generation models?▼

Palette and style enforcement works by applying configured brand rules across specific models like Recraft, Flux, Ideogram, and Midjourney, ensuring each model adapts to your defined style references.

Can I validate color consistency between generated illustrations using delta E checks?▼

Yes, you can validate color consistency using ΔE2000 checks and CSD similarity assessments to measure convergence and ensure generated illustrations conform to your canonical brand palette.

What is a canonical anchor and how is it used to promote accepted brand assets?▼

A canonical anchor is a baseline reference asset within your BrandBundle that accepted generated assets are promoted into, continuously building a standardized reference set for future generations.

How do I manage brand style conformance when my multi-asset project grows large?▼

For large multi-asset projects, brand style conformance is managed through asset-type adaptation, model-specific handles, and tooling for LoRA training to maintain set-wide visual coherence.

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