Image Generation logo

Image Generation

Organization
claude-office-skills
image-generation

Create effective AI image generation prompts for DALL-E, Midjourney, and Stable Diffusion. Generate prompts for various styles and use cases.

Overview

Publisherclaude-office-skills
Repositoryskills
Skill nameimage-generation
Stars
514
Forks
97
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by claude-office-skills on GitHub. Read the source before you install it.

Installation

Install the Image Generation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/claude-office-skills/skills/tree/main/image-generation
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/claude-office-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/image-generation .claude/skills/image-generation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Image Generation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Image Generation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Image Generation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Image Generation Skill

Overview

I help you create effective prompts for AI image generation tools like DALL-E, Midjourney, and Stable Diffusion. I understand the nuances of different platforms and can help you achieve specific visual styles.

What I can do:

  • Write detailed image generation prompts
  • Optimize prompts for specific AI tools
  • Suggest style keywords and modifiers
  • Create negative prompts to avoid unwanted elements
  • Adapt prompts for different aspect ratios
  • Generate variations and alternatives

What I cannot do:

  • Generate images directly
  • Guarantee exact output from AI tools
  • Predict how AI will interpret prompts
  • Bypass content policies of AI tools

How to Use Me

Step 1: Describe Your Vision

Tell me:

  • What you want to see in the image
  • The purpose (presentation, social media, marketing)
  • Style preferences (realistic, artistic, minimalist)
  • Mood or emotion to convey

Step 2: Choose the Platform

  • DALL-E 3: Best for clarity and instruction-following
  • Midjourney: Best for artistic and aesthetic images
  • Stable Diffusion: Most customizable, local options

Step 3: Specify Parameters

  • Aspect ratio (1:1, 16:9, 4:3, etc.)
  • Quality level
  • Style references
  • Things to avoid

Prompt Engineering Framework

Basic Prompt Structure

[Subject] + [Action/State] + [Environment] + [Style] + [Technical Parameters]

Detailed Template

[Main Subject]
- Who/what is the focus?
- What are they doing?

[Environment/Setting]
- Where is this taking place?
- Time of day? Weather? Season?

[Composition]
- Camera angle (eye-level, bird's eye, low angle)
- Framing (close-up, medium shot, wide shot)
- Focus (depth of field)

[Style]
- Art style (photorealistic, watercolor, oil painting, etc.)
- Artist reference (optional)
- Era/period

[Lighting]
- Type (natural, studio, dramatic, soft)
- Direction (backlit, side-lit, front-lit)

[Color]
- Palette (warm, cool, monochrome)
- Specific colors to include

[Mood/Atmosphere]
- Emotion to evoke
- Overall feeling

[Technical]
- Quality modifiers
- Aspect ratio
- Negative prompts

Platform-Specific Tips

DALL-E 3

Strengths:

  • Follows complex instructions well
  • Good at text in images
  • Natural language understanding

Prompt Style: Write naturally, be descriptive

A professional photograph of a modern office space with floor-to-ceiling 
windows overlooking a city skyline at sunset. The room features a minimalist 
wooden desk with a laptop, a potted monstera plant, and warm ambient lighting 
from a designer floor lamp. The mood is productive yet peaceful.

Midjourney

Strengths:

  • Exceptional aesthetics
  • Strong artistic styles
  • Good at specific looks

Prompt Style: Use keywords, parameters, and style references

modern office space, floor-to-ceiling windows, city skyline sunset, 
minimalist wooden desk, monstera plant, warm ambient lighting, 
productive atmosphere --ar 16:9 --style raw --v 6

Key Parameters:

  • --ar X:Y Aspect ratio
  • --v 6 Version
  • --style raw Less stylized
  • --q 2 Quality
  • --s 250 Stylize amount

Stable Diffusion

Strengths:

  • Highly customizable
  • Local/private generation
  • Extensive community models

Prompt Style: Weighted tokens, negative prompts essential

(modern office:1.2), (floor-to-ceiling windows:1.1), city skyline, 
golden hour sunset, minimalist wooden desk, laptop, monstera plant, 
(warm ambient lighting:1.3), professional photograph, 8k, detailed

Negative: cartoon, drawing, illustration, (worst quality:1.4), 
(low quality:1.4), blurry, watermark

Style Keywords Reference

Photography Styles

StyleKeywords
Portraitportrait photography, headshot, bokeh, 85mm lens
Productproduct photography, studio lighting, white background
Landscapelandscape photography, golden hour, dramatic sky
Streetstreet photography, candid, urban, documentary
Fashionfashion editorial, vogue style, high fashion

Art Styles

StyleKeywords
Realisticphotorealistic, hyperrealistic, 8k, detailed
Illustrationdigital illustration, vector art, flat design
Watercolorwatercolor painting, soft edges, flowing colors
Oil Paintingoil painting, brush strokes, impasto
Animeanime style, manga, cel shading
3D Render3D render, octane render, blender, CGI

Mood/Atmosphere

MoodKeywords
Professionalcorporate, business, clean, modern
Cozywarm, inviting, comfortable, hygge
Dramaticcinematic, high contrast, moody lighting
Cheerfulbright, colorful, happy, vibrant
Minimalistsimple, clean, whitespace, zen

Lighting

TypeKeywords
Naturalnatural light, soft daylight, golden hour
Studiostudio lighting, softbox, rim light
Dramaticchiaroscuro, dramatic shadows, volumetric
Neonneon lights, cyberpunk, colorful glow

Output Format

markdown
# Image Generation Prompts: [Concept]

**Purpose**: [What the image is for]
**Target Platform**: [DALL-E / Midjourney / SD]
**Aspect Ratio**: [X:Y]

---

## Primary Prompt

### For DALL-E 3:

[Natural language prompt with full description]


### For Midjourney:

[Keyword-based prompt with parameters]


### For Stable Diffusion:

[Weighted prompt]

Negative: [Things to avoid]


---

## Variations

### Variation 1: [Description]

[Prompt]


### Variation 2: [Description]

[Prompt]


### Variation 3: [Description]

[Prompt]


---

## Style Alternatives

### Option A: [Style Name]
Add these keywords: `[keywords]`

### Option B: [Style Name]
Add these keywords: `[keywords]`

---

## Tips for This Image

1. [Specific tip for achieving desired result]
2. [Tip]
3. [Tip]

---

## Iteration Suggestions

If the result isn't quite right:
- Try: [Adjustment 1]
- Try: [Adjustment 2]
- Try: [Adjustment 3]

Common Use Cases

Business/Corporate

Professional headshot, corporate portrait, business casual attire, 
neutral background, studio lighting, confident expression, 
sharp focus, high resolution

Marketing/Social Media

Lifestyle product photography, natural setting, soft natural light, 
pastel color palette, Instagram aesthetic, flat lay composition, 
millennial pink, minimalist

Presentation Graphics

Abstract business concept, isometric illustration, blue and white 
color scheme, clean design, corporate style, flat design, 
technology theme, professional

Blog/Article Headers

Wide banner image, [topic] concept art, editorial style, 
cinematic composition, 16:9 aspect ratio, headline-friendly 
(space for text overlay), muted colors

Tips for Better Results

  1. Be specific - "golden retriever" > "dog"
  2. Describe what you want, not what you don't (use negative prompts separately)
  3. Use quality modifiers - "professional", "detailed", "8k"
  4. Reference styles - "in the style of [artist/genre]"
  5. Specify composition - "close-up", "wide shot", "bird's eye view"
  6. Include lighting - dramatically affects mood
  7. Iterate - refine based on results
  8. Use consistent seeds for variations (when possible)

Limitations

  • Cannot generate images directly
  • Results vary between AI platforms
  • Some concepts are restricted by platform policies
  • Exact output is unpredictable
  • May require multiple iterations

Built by the Claude Office Skills community. Contributions welcome!

Frequently asked questions

What does the Image Generation AI skill do?

Create effective AI image generation prompts for DALL-E, Midjourney, and Stable Diffusion. Generate prompts for various styles and use cases.

Why use Image Generation on TypingMind?

Because you install it once and use it with any model. Image Generation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Image Generation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/claude-office-skills/skills/tree/main/image-generation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Image Generation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Image Generation?

As many as you like. As long as a model supports skills, you can use Image Generation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Image Generation AI skill free?

Yes. It is published on GitHub by claude-office-skills under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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