ImageAgent is a sophisticated Claude skill designed to automate the generation of brand-consistent visual assets using reinforcement learning. By integrating an intelligent A/B testing framework directly into the Claude interface via MCP, it allows users to iteratively refine AI-generated images to match specific brand guidelines. The system learns from user preferences to improve style accuracy over time, making it an essential tool for maintaining visual identity across web and marketing platforms.

When should I use image?

image is useful in the following scenarios: • Brand-Consistent Asset Creation: Generate high-quality illustrations for websites and marketing materials that strictly adhere to predefined brand styles, such as EVOLEA's whimsical watercolor aesthetic. • Iterative Style Training: Use the reinforcement learning loop and A/B comparisons to 'teach' the AI specific aesthetic preferences, ensuring future generations are increasingly accurate. • Automated Web Publishing: Streamline the workflow from image generation to public deployment by automatically pushing selected assets to GitHub and Cloudflare Pages. • Template-Based Content Scaling: Utilize specialized prompt templates to quickly produce consistent character illustrations or thematic backgrounds for educational programs and digital products.

name	image
description	ImageAgent - Generate EVOLEA Brand Images with Reinforcement Learning

EVOLEA Image Generation with Reinforcement Learning

Invoke with: /image or use automatically when generating images for the website Last Updated: 2025-12-27

This skill provides an intelligent image generation system that learns from user feedback to produce increasingly better, brand-consistent images for EVOLEA.

MCP Server (Claude Desktop / Claude App)

The image generation system is available as an MCP server for use with Claude Desktop and Claude App.

Available Tools

Tool	Description
`generate_image`	Generate a single image with EVOLEA branding
`generate_ab_comparison`	Generate A/B comparison for training (2 options + grid)
`list_generated_images`	List recent generated images by category
`get_brand_prompt_template`	Get prompt templates for specific image types
`publish_image`	Publish image to GitHub for public URL access
`get_training_guide`	Get the full training guide documentation

Setup (Claude Desktop)

Add to %APPDATA%\Claude\claude_desktop_config.json:

{
  "mcpServers": {
    "evolea-images": {
      "command": "python",
      "args": ["C:/Users/christoph/evolea-website/scripts/mcp_image_server.py"],
      "env": {
        "GOOGLE_API_KEY": "your-gemini-api-key"
      }
    }
  }
}

Quick Commands in Claude Desktop

"Generate an image of children doing art together"
"Create an A/B comparison for Mini Projekte hero"
"Show me recent training images"
"Publish the image to GitHub so I can see it on my phone"

How It Works

┌─────────────────────────────────────────────────────────────┐
│  1. LOAD LEARNINGS from LEARNINGS.md                        │
│     - Apply positive patterns (+3, +1 boosts)               │
│     - Include negative patterns in exclusions (-1, -3)      │
├─────────────────────────────────────────────────────────────┤
│  2. GENERATE OPTIONS (A and B)                              │
│     - Option A: Base prompt with current learnings          │
│     - Option B: Base + additional style modifiers           │
│     - Save to: public/images/generated/training/            │
├─────────────────────────────────────────────────────────────┤
│  3. CREATE COMPARISON GRID                                  │
│     - Side-by-side A|B image for easy comparison            │
├─────────────────────────────────────────────────────────────┤
│  4. USER SELECTS                                            │
│     - A, B, or Neither with feedback                        │
├─────────────────────────────────────────────────────────────┤
│  5. UPDATE LEARNINGS                                        │
│     - Boost winning patterns                                │
│     - Record negative patterns from feedback                │
│     - Persist to LEARNINGS.md                               │
├─────────────────────────────────────────────────────────────┤
│  6. PUBLISH (optional)                                      │
│     - Push to GitHub → Cloudflare Pages                     │
│     - Get public URL for mobile access                      │
├─────────────────────────────────────────────────────────────┤
│  7. ITERATE until satisfied                                 │
└─────────────────────────────────────────────────────────────┘

Command Line Usage

Generate with Training Loop

# Start a training session for a specific image
python scripts/generate_image.py "children ages 5-8 creating art" \
  --name mini-projekte-hero \
  --category programs \
  --training

Manual A/B Generation

# Generate 2 options with comparison grid
python scripts/generate_image.py "your prompt" \
  --name image-name \
  --count 2 \
  --comparison-grid

Fully Automated (with Claude selection)

python scripts/generate_image.py "your prompt" \
  --name image-name \
  --auto-select

Key Files

File	Purpose
`scripts/mcp_image_server.py`	MCP server for Claude Desktop
`scripts/generate_image.py`	Core image generation script
`LEARNINGS.md`	Persistent style preferences with scores
`TRAINING-GUIDE.md`	User guide for iterative training
`training-log.json`	Full history of all training sessions
`style-profiles/*.md`	Pre-defined style templates

EVOLEA Style Guidelines

Central European Children (Ages 5-8)

Skin tones: Light/fair with warm undertones
Hair colors: Blonde, light brown, auburn, brown
Features: Soft, rounded, friendly expressions
NO: Religious symbols, American cultural elements

Whimsical Style (User's Preferred)

Soft dreamy watercolor textures
Floating, layered clouds in spectrum colors
Ethereal, magical atmosphere
Delicate butterflies or unicorns
Pastel gradient backgrounds (lavender, mint, coral, cream)

Color Palette

Color	Hex	Usage
Magenta	#DD48E0	Primary accents
Mint	#7BEDD5	Fresh, nature
Lavender	#CD87F8	Calm, creative
Coral	#FF7E5D	Energy, warmth
Cream	#FFFBF7	Backgrounds

NEVER Include

Puzzle piece symbols
Clinical/medical settings
Religious symbols on children
American cultural elements (yellow school buses)
Photorealistic style
Dark or muted colors

Teacher Illustrations

Based on EVOLEA team members:

Name	Description
Gianna Spiess	Female, professional, warm, M.Sc. BCBA
Annemarie Elias	Female, friendly, approachable, M.Sc. BCBA
Christoph Jenny	Male, supportive, engaged
Alexandra Aleksic	Female, young, energetic, B.Sc.

Prompt Templates

Program Hero

Children aged [AGE] [ACTIVITY] in [SETTING].
Swiss/Central European children with light skin and varied natural hair colors.
[SPECIFIC DETAILS].
Mood: [EMOTION]. Dominant colors: [COLORS].
Soft watercolor children's book illustration style with delicate butterflies.

Abstract/Decorative

Soft dreamy [SUBJECT] in whimsical watercolor style.
Layered colorful clouds in lavender, mint, coral, and cream.
Ethereal atmosphere with gentle sparkles.
Delicate butterflies floating softly.
Dominant colors: [COLORS]. Mood: magical, warm, inviting.

Backend Configuration

The image generation always uses Gemini 3 Pro:

Model	ID
Gemini 3 Pro	`gemini-3-pro-image-preview`

This is configured in scripts/generate_image.py via CONFIG.gemini_model.

Replicate (Flux) is available as a fallback if Gemini is unavailable in your region.

Related Files

TRAINING-GUIDE.md - Detailed training workflow guide
LEARNINGS.md - Current learned preferences
style-profiles/ - Style profile templates
.claude/skills/Design skills/illustrations.md - Illustration guidelines

image

When & Why to Use This Skill

Use Cases