image-generation

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Optimizes image generation prompts using Subject-Context-Style structure. Use this skill when generating images, creating illustrations, photos, visual assets, editing images, or crafting prompts for any image generation model.

AI & Automation 162 stars 34 forks Updated yesterday MIT

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Quality Score: 88/100

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License 10%
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Description 5%
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Skill Content

# Image Generation Prompt Best Practices ## Prompt Structure Enhance every image generation prompt around three core elements: ### 1. SUBJECT (What) - Physical characteristics: textures, materials, colors, scale - Actions, poses, expressions if applicable - Distinctive features that define the subject ### 2. CONTEXT (Where/When) - Setting, background, spatial relationships (foreground, midground, background) - Time of day, weather, atmospheric conditions - Mood and emotional tone of the scene ### 3. STYLE (How) - Artistic or photographic approach: reference specific artists, movements, or styles - Camera/lens choices: specify focal length, aperture, and shooting angle when photographic ## Core Principles - **Preserve intent** — Add visual details (lighting, texture, composition) only in areas the user left unspecified; keep all user-specified elements unchanged - **Positive descriptions only** — Describe what should be present; rephrase any exclusion as an inclusion - **Specific over vague** — "golden hour sunlight at 15° angle" beats "nice lighting" - **Natural flow** — Weave elements into a single flowing description, not a bullet list ## Output Format Return the enhanced prompt as a single flowing paragraph. When the user provides multiple requests, return each as a separate enhanced prompt under a labeled heading. ## Enhancement Patterns ### Hyper-Specific Details Add concrete visual details for any Subject/Context/Style element not specified by the user: ...

Details

Author
shinpr
Repository
shinpr/mcp-image
Created
1 years ago
Last Updated
yesterday
Language
TypeScript
License
MIT

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