nous-branding

Generate brand-consistent visual assets using image generation APIs and post-processing scripts.

40|6|Updated Jul 11, 2026
One-click install
npx skills add https://github.com/magnus919/agent-skills --skill nous-branding
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nous-branding
Source: https://github.com/magnus919/agent-skills/tree/main/nous-branding
Command: npx skills add https://github.com/magnus919/agent-skills --skill nous-branding

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Pillow, numpy, pyyaml, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill solves the challenge of maintaining a consistent, high-fidelity visual identity for the Nous Research ecosystem, preventing the generation of generic or off-brand imagery.

Core Features & Use Cases

  • Brand-Consistent Generation: Enforces the cyber-classical aesthetic, specific color palettes, and the canonical Nous Girl mascot design.
  • Reference-Driven Workflows: Uses official assets for img2img style transfer to ensure technical and stylistic accuracy.
  • Analog Post-Processing: Applies mandatory degradation effects like grain, scan lines, and ink bleed to achieve a raw, non-corporate finish.

Quick Start

Use the nous-branding skill to generate a new hero image for a project announcement using the official mascot badge as a reference.

Frequently Asked Questions about nous-branding

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

FAQPage Schema
How do I generate brand-consistent visuals for cyberpunk and retro-manga aesthetics?

To generate brand-consistent visuals blending cyberpunk and retro-manga aesthetics, this Skill enforces strict color palettes, canonical mascot design, and neo-classical style constraints during the image generation process.

Can I use image style transfer with reference assets to maintain mascot fidelity?

Yes, you can use image style transfer with official reference assets to maintain mascot fidelity. The workflow uses img2img style transfer to ensure technical and stylistic accuracy against canonical brand assets.

How do I apply analog post-processing effects like scan lines and grain to AI images?

To apply analog post-processing effects like scan lines and grain to AI images, local scripts using Pillow and numpy apply mandatory degradation including ink bleed to achieve a raw, non-corporate finish.

Does this branding workflow require external image generation APIs?

Yes, this branding workflow requires external image generation APIs to create the initial visuals. Local post-processing scripts then enforce strict color, texture, and mascot-fidelity constraints on the generated output.

What is the best way to create technical documentation covers with a cyber-classical aesthetic?

The best way to create technical documentation covers with a cyber-classical aesthetic is using this Skill, which blends neo-classical and cyberpunk styles while applying analog degradation effects for a raw finish.

Why do my generated brand images look too clean and corporate?

Generated brand images look too clean and corporate when skipping mandatory analog post-processing. This Skill applies required degradation effects like grain, scan lines, and ink bleed to prevent generic, off-brand imagery.