json-prompt-engine
json-prompt-engine is an Image generation & prompting skill for AI agents, published by alecs5am in the ralphy repository on GitHub. Skillspace rates json-prompt-engine D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze a reference image (or video frame) and emit a ready-to-paste structured JSON prompt that captures every visual quality needed to reproduce it through `ralphy generate image --prompt-file`. The reverse of the prompt cookbook: image in -> dense JSON prompt out (scene / style / technical / materials / environment / composition / quality blocks; add a `motion` block for image-to-video). Adapts the schema to ralphy's model stack — `gemini-3-pro-image-preview` for multi-ref consistency, `gpt-5.4-image-2` for crisp typography — and folds any matching `@guideline:<slug>` rules into the quality block. USE WHEN the user uploads or points at a reference image and asks for a prompt, "JSON prompt", "image-to-prompt", "reverse-engineer this image", "recreate this image", "describe this in prompt format", "give me the prompt for this style/look", or wants a per-slide JSON prompt for a carousel. DO NOT FIRE for conversational "what is in this image" questions, image editing, or when the user…
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 108
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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Our review
- Architecture
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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