// Image prompt engineering for AI image generation models. Use when user wants to generate images, create image prompts, or optimize prompts for DALL-E, Midjourney, Stable Diffusion, or other image generation tools.
| name | content-image |
| description | Image prompt engineering for AI image generation models. Use when user wants to generate images, create image prompts, or optimize prompts for DALL-E, Midjourney, Stable Diffusion, or other image generation tools. |
Claude cannot generate images. This skill produces ready-to-paste prompts optimized for AI image generation models. The output is text that the user copies into DALL-E, Midjourney, Stable Diffusion, or another image generation tool.
Every output includes:
Every effective image prompt has four components:
What is in the image. Be specific and concrete.
The subject should be described in enough detail that two different artists would produce recognizably similar images.
The visual treatment. Reference a specific style from the style library or describe it explicitly.
See style-library/ for pre-built style descriptions:
style-library/editorial.md -- Clean, professional photographystyle-library/flat-illustration.md -- Bold, geometric, vector-likestyle-library/3d-render.md -- Soft lighting, smooth surfaces, product-shot feelstyle-library/film-still.md -- Cinematic, dramatic, atmosphericThe emotional tone of the image.
Resolution, aspect ratio, and model-specific parameters.
If brand/VISUAL.md exists, read it for:
If the brand aesthetic is "clean, minimal, professional," do not suggest prompts for grungy textures or maximalist compositions.
Ask:
If the user provides a vague request ("I need an image for my blog post about AI"), ask for specifics before generating prompts.
Based on the brand and use case, recommend a style:
| Use Case | Recommended Style | Why |
|---|---|---|
| Blog hero image (professional) | Editorial photography | Clean, credible, publication-quality |
| Social media graphic | Flat illustration | Eye-catching, scalable, shares well |
| Product landing page | 3D render | Modern, polished, product-focused |
| Thought leadership piece | Film still | Dramatic, memorable, shareable |
| Technical documentation | Flat illustration | Clear, diagrammatic, on-brand |
| Event promotion | Editorial or film still | Atmospheric, engaging |
Assemble the prompt using the four components (subject + style + mood + technical specs). Structure varies by model -- see model-specifics.md.
For models that support negative prompts (Stable Diffusion, some Midjourney modes), specify what to avoid:
Common negative prompt elements:
Always offer 2-3 prompt variations:
When generating prompts, align with the brand aesthetic from brand/VISUAL.md:
If the brand uses warm earth tones, suggest prompts with:
If the brand uses cool blues and grays, suggest:
Do not force brand colors into every image, but guide the aesthetic direction.
| Brand Aesthetic | Prompt Direction |
|---|---|
| Minimal, clean | "clean composition, negative space, simple background, uncluttered" |
| Bold, vibrant | "saturated colors, dynamic composition, high contrast, energetic" |
| Corporate, professional | "studio lighting, neutral background, polished, sharp focus" |
| Playful, creative | "whimsical elements, bright colors, unexpected angles, hand-drawn feel" |
| Technical, precise | "technical illustration, blueprint aesthetic, grid lines, precise geometry" |
When generating multiple prompts for the same project (e.g., a series of blog post images), maintain consistency:
See model-specifics.md for detailed guidance. Summary:
--ar for aspect ratio, --s for stylization, --q for quality(important detail:1.3) for emphasisFor each prompt request, deliver:
## Prompt
[The full prompt text, ready to paste]
## Model & Settings
- **Recommended model**: [DALL-E 3 / Midjourney v6.1 / SDXL]
- **Aspect ratio**: [16:9 / 1:1 / 4:5 / etc.]
- **Quality/Steps**: [model-specific settings]
## Negative Prompt (if applicable)
[Negative prompt text for SD/MJ]
## Variations
### Variation 1: [Description]
[Alternative prompt]
### Variation 2: [Description]
[Alternative prompt]
## Notes
[Any tips for getting the best result: regenerate if X, adjust Y for Z]
[demographic detail] [person description] [action] in [setting], [style], [lighting], [mood]
Example: "A mid-30s Southeast Asian woman reviewing data on a tablet in a modern open office, editorial photography, natural window light from the left, focused and productive atmosphere"
[product] on [surface/background], [camera angle], [lighting setup], [style]
Example: "A matte black wireless keyboard on a minimal white desk, 45-degree angle, soft studio lighting with subtle shadow, 3D product render, clean and modern"
[visual metaphor for concept], [style], [color palette], [mood]
Example: "Interconnected glowing nodes forming a neural network pattern, dark background, blue and purple gradient, isometric 3D render, futuristic and clean"
[place description], [time of day], [weather/atmosphere], [style], [camera position]
Example: "A coworking space with floor-to-ceiling windows at golden hour, plants on desks, warm natural light, editorial photography, wide angle from the entrance"
If the user needs an SVG or infographic, redirect to the content-infographic skill. If they need a presentation visual, redirect to content-presentation.
Content studio with brand consistency. Use this skill whenever the user wants to create content — blog posts, social media (X/Twitter, LinkedIn, Reddit, HN), presentations (Slidev/Reveal/Spectacle), infographics, image prompts, video scripts (Remotion), editorial calendars, or content audits. Also triggers on brand setup, voice profiling, content repurposing, and content strategy. Covers any request involving writing, publishing, visual content creation, or content planning. Even if the user doesn't say "content" explicitly — if they're asking to write a blog post, create slides, draft a thread, plan a content calendar, or check content quality — use this skill.
Content quality audit with anti-slop detection and brand consistency scoring. Use when user wants to check content quality, audit a draft, score content, verify brand consistency, detect AI-generated patterns, or run a quality check before publishing.
Long-form blog post generation with brand voice integration and anti-slop enforcement. Use when user wants to write a blog post, article, tutorial, case study, opinion piece, deep dive, or listicle.
Editorial calendar planning and content scheduling. Use when user wants to plan a content calendar, create a publishing schedule, organize content across platforms, or plan a content series.
Hacker News post generation for Show HN, Ask HN, and submissions. Use when user wants to post to Hacker News or write a Show HN/Ask HN post.
Generate SVG and HTML infographics with brand-aware design. Use when user wants to create an infographic, data visualization, process flow, comparison chart, stat card, or visual data summary.