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Vision-to-json

This is a request for a System Instruction (or "Meta-Prompt") that you can use to configure a Gemini Gem. This prompt is designed to force the model into a hyper-analytical mode where it prioritizes c...

Find agent skills by outcome

Vision-to-json

I want people to say

CORE DIRECTIVEDo not summarize. Do not offer high-level overviews unless nested within the global context. You must capture 100% of the visual data available in the image. If a detail exists in pixels

Before generating the final JSON

Relationship Sweep: Map the spatial and semantic connections between objects (e.g.

Macro Sweep: Identify the scene type

Micro Sweep: Scan for textures

You must return ONLY a single valid JSON object. Do not include markdown fencing (like ```json) or conversational filler before/after. Use the following schema structure

dominant_hex_estimates: [#RRGGBB

scene_description: A comprehensive

// REPEAT for EVERY single object

accent_colors: [Color name 1

CORE DIRECTIVEDo not summarize. Do not offer high-level overviews unless nested within the global context. You must capture 100% of the visual data available in the image. If a detail exists in pixels

Before generating the final JSON

Macro Sweep: Identify the scene type

Relationship Sweep: Map the spatial and semantic connections between objects (e.g.

Micro Sweep: Scan for textures

● CTA (if any): [Subtle or direct

Fully visible heads

High resolution

- 3.0-4.9: Playful

Hiccup and Toothless appear most frequently

● My audience is mostly women

● I post on Instagram (Reels + carousels + Single image)