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Creo image prompt

Skill oyusypenko/creo/skills/creo-image-prompt

Generate optimized image prompts for AI image generation models including DALL-E 3, Midjourney, Stable Diffusion XL, Flux, and others. Creates contextually appropriate, visually compelling prompts based on page content and brand style. Trigger keywords: image prompt, AI image, hero image, marketing image, generate prompt, image generation.From its SKILL.md

Install
npx -y skills add oyusypenko/creo --skill creo-image-prompt

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

5.4 KB, ~1.1k tokens by cl100k_base, as published. Nobody here has run it

Image Prompt Generator

Generate detailed, contextually appropriate image prompts for marketing websites. Creates prompts optimized for multiple AI image generation models that accurately represent page purpose and appeal to target audiences.

Commands

CommandDescription
/creo image-prompt heroGenerate hero image prompts for pages
/creo image-prompt featureGenerate feature/card image prompts
/creo image-prompt batchGenerate all image prompts for the site

Core Instructions

Configuration

  1. Check for project-specific config at .claude/project-config.md
  2. Read project_id, project_name, visual style settings
  3. Load project extension if it exists at .claude/skills/creo-image-prompt/creo-image-prompt-{project_id}.md. This file contains project-specific visual style, color palette, brand imagery, and image category conventions. {project_id} comes from project-config.md. Always load it before doing work.
  4. If no config exists, use defaults or ask user

Supported Models

Prompts should be compatible with:

  • DALL-E 3 (OpenAI)
  • Midjourney
  • Stable Diffusion XL
  • Flux
  • Ideogram
  • Leonardo AI

Write prompts in a universal style that works across different models.

Visual Style Guide

Overall Aesthetic

  • Style: Modern, professional, documentary-style photography
  • Lighting: Natural lighting, soft shadows, clean look
  • Setting: Modern offices, home offices, studios, co-working spaces
  • People: Diverse professionals, authentic expressions, engaged in work
  • Tech: Modern devices (laptops, tablets, smartphones)
  • Colors: Clean whites, soft blues, professional neutrals

Do Include

  • Real work scenarios (editing, reviewing, collaborating)
  • Professional equipment when relevant
  • Screen interfaces showing relevant content (blurred for realism)
  • Natural, candid moments (not staged stock photo poses)
  • Modern, minimalist workspaces

Do Not Include

  • Text overlays or watermarks (except ogImage which may have text space)
  • Logos or brand names
  • Cluttered or messy environments
  • Overly dramatic lighting
  • Artificial or staged poses

Image Types and Dimensions

TypePurposeAspect RatioPrompt Focus
heroMain page header16:9 landscapeWide scene, establishing shot
cardFeature/listing cards4:3 or 1:1Focused detail, single concept
thumbnailSmall previews1:1 squareSimple, recognizable
ogImageSocial sharing1200x630Include "text space for [title]"
heroMobileMobile hero9:16 portraitVertical composition

Prompt Structure

Each prompt should follow:

[Setting/Environment]. [Main subject and action]. [Key objects/props relevant to topic]. [Lighting and atmosphere]. [Style notes: documentary-style, authentic, professional].

Category-Specific Guidelines

Features

  • Focus on the feature in action
  • Show the benefit/outcome, not just the tool
  • Include relevant equipment

Use Cases

  • Show the target user in their natural work environment
  • Include profession-specific props
  • Capture the workflow improvement

Sources/Integrations

  • Show the platform being used
  • Screen should show recognizable interface (blurred/generic)
  • Focus on the integration workflow

Input Sources

Read page content from:

  • Locale/i18n files (e.g., messages/en/pages/)
  • Content configuration files
  • Markdown content files

Output Format

Generate prompts as a JavaScript object:

const CONTEXT_AWARE_PROMPTS = {
  landing: {
    hero: `[prompt]`,
    ogImage: `[prompt]`,
    heroMobile: `[prompt]`,
  },
  features: {
    featureName: {
      hero: `[prompt]`,
      card: `[prompt]`,
      thumbnail: `[prompt]`,
      ogImage: `[prompt]`,
    },
  },
};

Model-Specific Tips

For photorealistic results add: photorealistic, 8k, high detail, professional photography

For illustration style add: digital illustration, vector art, flat design, modern graphic style

For cinematic feel add: cinematic lighting, film grain, shallow depth of field, 35mm

Workflow

  1. Read the content for the page (locale files, content config)
  2. Extract key context: page title, value proposition, features, target audience
  3. Generate prompts for each image type
  4. Validate prompts follow style guide
  5. Output in the required format

Reference Files

Load these on demand for extended guidance:

FilePurpose
references/visual-style-guide.mdBrand visual guidelines
references/image-dimensions.mdRequired image sizes

Quality Gates

  • Scene must be specific and visualizable
  • Setting must match target audience
  • Props must be relevant to the page topic
  • Lighting must be specified
  • Style modifier must be included
  • No text or logos requested (except ogImage text space)
  • Authentic, not stock-photo staged
  • Appropriate for image type (wide for hero, focused for card)
  • Works across different image generation models

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most marketing audience skills give in ~1.1k tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

  • Apply Poppins font to headingsin 41 of 690, across 6 files
  • Apply Lora font to body textin 41 of 690, across 6 files
  • Use Arial fallback for headingsin 39 of 690, across 4 files
  • Use Georgia fallback for body textin 39 of 690, across 4 files
  • Maintain text hierarchy and formattingin 39 of 690, across 4 files
  • Use accent colors for non-text shapesin 38 of 690, across 3 files
  • Use RGB values for precise color matchingin 38 of 690, across 3 files
  • Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
  • Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
  • Use active voice instead of passive voicein 26 of 690, across 10 files
  • Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
  • Prioritize clarity over clevernessin 22 of 690, across 8 files

Said here and by no other author read

  • write prompts in a universal style
  • exclude text overlays and watermarks
  • exclude logos and brand names
  • follow the specified prompt structure
  • read page content from locale or config files
  • extract page context from the input files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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