image-generation

Image Generation Skill

This skill enables Claude Code to generate images using OpenAI's image generation API, making it possible to create visual assets directly during development workflows.

When to Use This Skill

Use image generation for:

• Logo exploration: Generate multiple logo directions quickly
• Marketing assets: Hero images, ad creatives, social media graphics
• UI illustrations: Icons, feature cards, empty states
• Brand moodboards: Visual direction exploration
• Mockup content: Placeholder images with actual relevant content

When NOT to Use This Skill

• Final production logos: Generated images are raster; recreate as vectors
• Photography replacement: Use real photos for authenticity
• Trademarked content: Don't generate content mimicking existing brands
• Precise technical diagrams: Use dedicated diagramming tools

Prerequisites

Before using this skill, ensure:

1. OPENAI_API_KEY is set in environment
2. openai package is installed (npm install openai)
3. scripts/gen-image.ts exists in project root

Quick Setup

If not already set up:

# Install dependency
npm install openai --save

# Create output directory
mkdir -p assets/generated

# Add to .gitignore
echo "assets/generated/*.png" >> .gitignore
echo "assets/generated/*.json" >> .gitignore

Usage Patterns

Pattern 1: Single Image Generation

For a specific, well-defined need:

npx tsx scripts/gen-image.ts "Your detailed prompt here" --out descriptive-name.png

Pattern 2: Batch Exploration

Generate multiple variations to explore directions:

# Generate variations with different styles
npx tsx scripts/gen-image.ts "Chef logo, minimalist line art" --out logo-v1-lineart.png
npx tsx scripts/gen-image.ts "Chef logo, bold geometric shapes" --out logo-v2-geometric.png
npx tsx scripts/gen-image.ts "Chef logo, hand-drawn sketch style" --out logo-v3-sketch.png
npx tsx scripts/gen-image.ts "Chef logo, negative space design" --out logo-v4-negative.png

Pattern 3: Iterative Refinement

Start broad, then refine:

# Round 1: Broad exploration
npx tsx scripts/gen-image.ts "Modern cooking app logo concepts"

# Round 2: Refine promising direction
npx tsx scripts/gen-image.ts "Minimalist chef hat logo, single line weight, friendly curves"

# Round 3: Final refinement
npx tsx scripts/gen-image.ts "Minimalist chef hat logo, single continuous line, slightly playful tilt, warm personality"

Prompt Engineering Guide

Structure for Effective Prompts

[Subject] + [Style] + [Details] + [Constraints]

Example:

"Chef hat with knife" + "minimalist line art" + "hand-drawn quality, organic lines" + "black on white, no text"

Style Keywords That Work Well

For Logos:

• "minimalist", "flat vector", "line art", "geometric"
• "hand-drawn", "sketch style", "organic lines"
• "negative space", "optical illusion"
• "badge design", "emblem style", "monogram"

For Marketing:

• "hero illustration", "feature card"
• "isometric", "3D render", "flat design"
• "photography style", "editorial"
• "warm lighting", "dramatic shadows"

For Consistency:

• Specify exact colors: "warm orange (#FF6B35) and cream (#FFF5E1)"
• Specify style: "in the style of Stripe illustrations"
• Specify constraints: "no gradients", "single stroke weight"

Color Specification

# Named colors
"...using warm orange and cream colors"

# Specific palette
"...color palette: deep navy (#1a365d), gold (#d69e2e), white"

# Monochrome
"...black linework on pure white background"

Output Management

File Organization

Generated files go to assets/generated/:

assets/generated/
├── 2024-01-15T10-30-45.png      # Timestamped image
├── 2024-01-15T10-30-45.json     # Metadata
├── logo-exploration-v1.png      # Named image
├── logo-exploration-v1.json     # Metadata
└── ...

Metadata Files

Each image has a companion JSON with:

• Original prompt
• Model used
• Size and quality settings
• Generation timestamp
• Revised prompt (if model modified it)

Use metadata to:

• Track successful prompts
• Iterate on good directions
• Document design decisions

Integration with Design Workflow

Logo Development Workflow

1. Explore (5-10 images): Generate diverse directions
2. Select (2-3 directions): Pick promising concepts
3. Refine (3-5 per direction): Iterate on selected concepts
4. Finalize: Pick best, recreate as vector in Figma/Illustrator

Marketing Asset Workflow

1. Generate: Create image with appropriate size (1792x1024 for hero)
2. Review: Check composition, colors, messaging alignment
3. Iterate: Refine prompt based on feedback
4. Export: Use directly or as basis for final asset

Size Guidelines

Use Case	Recommended Size	Flag
Logo/Icon	1024x1024	(default)
Hero Banner	1792x1024	--size 1792x1024
Portrait/Story	1024x1792	--size 1024x1792
Social Square	1024x1024	(default)

Model Selection

Model	Best For	Notes
gpt-image-1	General use, best instruction following	Default, recommended
dall-e-3	Photorealistic, complex scenes	Higher quality, slower
dall-e-2	Quick iterations, simpler needs	Faster, less detailed

Troubleshooting

Common Issues

Prompt too literal:

• Add style keywords: "artistic interpretation", "stylized"
• Reduce specificity in some areas

Results too busy:

• Add constraints: "simple", "minimal", "clean"
• Specify what to exclude: "no background elements", "no text"

Wrong aspect ratio feel:

• Change size even if dimensions are correct
• Add composition hints: "centered", "wide composition"

Inconsistent style:

• Be more specific about style in prompt
• Reference specific design movements or artists (carefully)

Best Practices

1. Save good prompts: When you get a great result, save the prompt for reuse
2. Iterate in batches: Generate 3-5 variations before refining
3. Use descriptive filenames: logo-chef-hat-lineart-v2.png not image1.png
4. Review metadata: Check if the model revised your prompt (insight into what worked)
5. Version control prompts: Keep a prompts.md in your project documenting what worked

Example Prompts Library

Logos

"Minimalist logo mark: chef hat silhouette, single continuous line, friendly curves, black on white, no text"

"Modern badge logo: crossed kitchen utensils, circular frame, hand-drawn quality, two-tone design"

"Abstract logo: letter C formed by cooking flame, geometric, warm orange gradient, minimal"

Marketing

"Hero illustration for cooking app: warm kitchen scene, morning light, fresh ingredients, editorial style, wide composition"

"Feature card: AI assistant concept, friendly robot character, flat illustration style, pastel colors, centered"

"Social media graphic: recipe of the day, overhead food photography style, natural lighting, square format"

Icons

"App icon: chef hat, simple flat design, rounded corners style, single color on gradient background"

"UI icon set: cooking utensils, consistent line weight, minimal style, monochrome"

Alternative Providers

This plugin focuses on OpenAI for simplicity. For specific use cases, other providers may be better:

Use Case	Consider
Text-heavy logos	Ideogram, Recraft
Photorealism	BFL (FLUX), Stability AI
Fast iterations	FAL
Image editing	Clipdrop, Stability
Artistic/fantasy	Leonardo

For multi-provider support with automatic fallback, see shipdeckai/claude-skills/image-gen.

Detailed comparison: references/alternative-providers.md

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Remember: AI-generated images are starting points. Final brand assets should be refined and often recreated as vectors for production use.