Generate structured JSON prompts from input images for AI visual recreation.
npx skills add https://github.com/williamsforeal/Cyclone-SS --skill image-to-json
Please help me install this Agent Skill. Skill: image-to-json Source: https://github.com/williamsforeal/Cyclone-SS/tree/main/.cursor/skills/image-to-json Command: npx skills add https://github.com/williamsforeal/Cyclone-SS --skill image-to-json
It helps you convert an uploaded image into a structured JSON prompt so you can recreate the same look with AI image generators without manually guessing details.
Use the image-to-json skill on the attached image and ask it to generate the JSON prompt for recreating the same scene in an AI image generator.
High-intent search queries and answers about installing and using this skill.
To convert an image into a JSON prompt, this skill analyzes the subject, clothing, accessories, photography style, and background, returning a structured JSON schema for recreation. It extracts elements like age, expression, hair, lighting, and aspect ratio into a ready-to-use template.
Yes, image-to-prompt pipelines support UGC ad creatives and character recreation by generating structured JSON prompts. This allows you to maintain consistent character profiles and iteratively test visual styles without manually guessing details for each generation.
Yes, the generated JSON prompts are workflow-friendly and designed for downstream use with AI image generators like fal.ai, Midjourney, and DALL-E. You can use the strict JSON schema to consistently recreate scenes across these platforms.
The best way to extract photography style and background details is using an image-to-JSON skill that maps visual elements to a strict schema. It deterministically parses the input image path or upload to output exact key fields like lighting and background.
You generate a consistent character profile JSON by providing an image path, upload, or detailed description. The skill applies a deterministic field-mapped output to analyze the subject and return exact key structures like age, expression, and face handling with no template modifications.
A limitation of using a strict JSON schema is that it enforces exact provided key structures with no template modifications. This means the output is constrained to predefined fields like subject, accessories, photography, and background, restricting free-form prompt generation.
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