image-prompt
Skill17 starsChanged 7 months agoMITView on GitHub
Write precise AI image generation prompts for Midjourney, DALL-E, and Stable Diffusion/SDXL — with style references, composition guidance, and platform-appropriate aspect ratios.
8 other projects use a version of this.
Adopted by
Most recently taken up by
- antonailog/skillstheir own version, first seen Nov 8, 2026
- veryCoolTimo/imagegen-skillstheir own version, first seen Nov 7, 2026
- Suryanandx/qvac-uitheir own version, first seen Nov 1, 2026
- davidondrej/skillstheir own version, first seen Oct 29, 2026
- itqanlab/agent-toolkittheir own version, first seen Oct 13, 2026
- GAGAA-HUE/ASHUO-claude-skillstheir own version, first seen Aug 20, 2026
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 8
- davidondrej/skills★ 4.3ksame name
- Mikefluff/skills★ 26same name
- veryCoolTimo/imagegen-skills★ 6same name
- GAGAA-HUE/ASHUO-claude-skills★ 5same name
- wensihao123/Claude_Skills★ 2same name
- antonailog/skills★ 1same name
- itqanlab/agent-toolkit★ 1same name
- Suryanandx/qvac-ui★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 21
Write precise, effective AI image generation prompts for any tool (Midjourney, DALL-E, SDXL).
- Distinctive: line 66
Add style descriptors ("minimalist tech illustration, flat design, clean lines")
- Distinctive: line 67
Add composition ("centered, plenty of negative space")
- Distinctive: line 68
Add lighting/mood ("warm lighting, morning glow, editorial photography")
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Image Prompt
Write precise, effective AI image generation prompts for any tool (Midjourney, DALL-E, SDXL). Describe visual concepts clearly so the generated image matches the brand's vision and platform requirements.
Purpose
Most AI images look generic because the prompts are generic. "A cool tech image" produces random results. This skill structures prompts with subject, style, composition, lighting, and mood — producing images that look intentional, not accidental.
When to Use
- Visual plan identified a need for an AI-generated image
- Creating hero images for blog posts or newsletters
- Generating backgrounds, textures, or abstract visuals for quote cards
- Iterating on a visual style until it matches brand aesthetic
Inputs Required
- Subject (what the image depicts)
- Style direction (photorealistic, illustration, 3D render, abstract, minimalist)
- Mood / lighting (bright, moody, warm, cold, dramatic)
- Color palette (dominant colors or vibe)
- Target aspect ratio
Quick Reference
| Tool | Prompt Structure | Key Parameters |
| Midjourney | [subject] + [style] + [composition] + [lighting] + [mood] --ar [ratio] | --ar 16:9, --style raw, --v 6 |
| DALL-E | Natural language, 1-4 sentences | No special syntax; avoid text |
| SDXL | [subject], [style], [quality tags], [negatives] | Negative prompt separate |
Procedure
- Define the visual:
- Subject: main focus
- Action/context: what's happening
- Style: photorealistic, illustration, 3D render, abstract, minimalist
- Mood/lighting: bright, moody, warm, cold, dramatic
- Color palette: dominant colors or vibe
- Choose the generation tool:
- Midjourney: best for artistic, stylized, conceptual visuals
- DALL-E: best for literal depictions, text in images (but avoid text), precise compositions
- SDXL: best for photorealism and negative prompting
- Write the main prompt:
- Lead with the subject
- Add style descriptors ("minimalist tech illustration, flat design, clean lines")
- Add composition ("centered, plenty of negative space")
- Add lighting/mood ("warm lighting, morning glow, editorial photography")
- End with technical parameters (aspect ratio, version, style settings)
- Tool-specific notes:
- Midjourney: include
--ar [ratio], use--style rawfor literal interpretations,--no textto avoid gibberish - DALL-E: natural language, be specific about what you DON'T want
- SDXL: separate negative prompt for "text, watermark, blurry, low quality, distorted"
- Midjourney: include
- Generate 2-3 prompt variations for A/B comparison.
Output Format
# Image Prompt: [Visual Concept Name]
## Visual Description
[Plain-language description]
## Platform & Dimensions
**Platform:** [X / LinkedIn / IG / TikTok / multi-use]
**Aspect ratio:** [16:9 / 4:5 / 1:1 / 9:16]
## Primary Prompt (Midjourney)[Full Midjourney prompt with parameters]
## DALL-E Prompt[Natural language DALL-E prompt]
## SDXL Prompt
**Positive:** [SDXL positive prompt + quality tags]
**Negative:** [SDXL negative prompt]
## Style References
- Mood board keywords: [style references]Done Criteria
The skill is complete when:
- Prompt includes subject, style, composition, lighting, and mood
- Aspect ratio matches the target platform
- Tool-specific syntax is correct (no Midjourney parameters in DALL-E prompts)
- 1-2 alternate prompts are provided for comparison
- Negative prompt is provided (for SDXL) or "no text" instruction (for Midjourney/DALL-E)
Pitfalls
- Vague prompts ("a cool tech image") — results will be random
- Contradictory prompts ("minimalist but also highly detailed and complex")
- Forgetting aspect ratio (image may come back at wrong dimensions)
- AI-generated text in images (use
--no textor negative prompt) - Using copyrighted artist names — stick to style movements and descriptors
Verification
Does the prompt describe exactly what you want? If you handed it to a human illustrator, would they produce what you're imagining? Does the aspect ratio match the platform requirement?
Example
Input: Quote card background for X (16:9). Topic: cold outreach. Mood: professional, warm, editorial. Brand colors: dark gray + orange.
Output (Midjourney):
A minimalist workspace flat lay from above — laptop, coffee cup, notebook with handwritten notes, soft natural window lighting, warm earth tones with orange accents, deep gray background, editorial photography style, negative space around top and bottom for text overlay --ar 16:9 --style raw --v 6 --no text, watermark, peopleDALL-E version: "A top-down flat lay photograph of a desk workspace: a laptop, a coffee cup, and a notebook with handwritten notes. Soft natural window lighting, warm earth tones with orange accents against a dark gray background. Minimalist, editorial style. The top and bottom thirds of the image should be empty space suitable for text overlay. No people, no text in the image."
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

