image-cog

Generate and edit images with consistent characters and styles across projects.

52|3|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/Zhow01/SkillAttack --skill image-cog-zhow01
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: image-cog
Source: https://github.com/Zhow01/SkillAttack/tree/main/data/hot100skills/040_nitishgargiitd_image-cog
Command: npx skills add https://github.com/Zhow01/SkillAttack --skill image-cog-zhow01

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-generated imagery often suffers from inconsistency in style and character across prompts and sessions, making scalable visual campaigns tedious and error-prone.

Core Features & Use Cases

  • Multi-model image generation and editing to suit different outputs (photorealism, illustration, vector).
  • Consistent character sets and styles across a campaign, enabling scalable branding.
  • Reference-based generation and style guides to match existing visuals for marketing, product photography, and social media assets.

Quick Start

Create a consistent set of images for a marketing campaign using predefined CellCog prompts and a single character.

Frequently Asked Questions about image-cog

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

FAQPage Schema
How do I generate AI images with consistent characters across multiple prompts?

You can maintain consistent characters by using the predefined CellCog prompts and model routing rules provided by the Skill, which ensure repeatable visual styling and character features across different generation sessions.

Can I use AI image generation for product photography and branded marketing visuals?

Yes, this Skill supports product photography and branded marketing visuals by applying reference-based generation and style guides to match existing visuals, ensuring brand consistency across multiple image formats.

Do I need CellCog dependencies to automate consistent AI image creation?

Yes, CellCog dependencies are required to automate AI-driven image generation and editing, as they provide the necessary prompt guidance and model routing to deliver repeatable results across projects.

What is the best way to keep style consistency across an AI image generation campaign?

The best way to keep style consistency is to use reference-based generation and predefined style guides, allowing you to match existing visuals and scale your branding across social media assets and campaigns.

Does this multi-model image generation approach support both photorealism and illustration outputs?

Yes, the multi-model image generation approach supports various outputs including photorealism, illustration, and vector formats by routing prompts to appropriate models to suit different visual deliverables.