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

Ready to run

npx skills add https://github.com/MohamedAbdallah-14/prompt-to-asset --skill brand-consistency

💬 Prompt for ChatGPT / Claude Chat▼

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.