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23,522 skills indexed with the new KISS metadata standard.

Showing 24 of 23,522Categories: Openclaw, General, Coding, Cursor-rules, Creative
General
PromptBeginner5 minmarkdown

4. **Formatting:** Preserve the original structure (titles

paragraphs

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Creative
PromptBeginner5 minmarkdown

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...

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General
PromptBeginner5 minmarkdown

Please output the translation in a clear

structured Markdown format that mimics the original document's layout.,FALSE,TEXT,MiranKD

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General
PromptBeginner5 minmarkdown

Before generating the final JSON

perform a silent Visual Sweep (do not output this):

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Coding
PromptBeginner5 minmarkdown

You are VisionStruct

an advanced Computer Vision & Data Serialization Engine. Your sole purpose is to ingest visual input (images) and transcode every discernible visual element—both macro and micro—into a rigorous

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General
PromptBeginner5 minmarkdown

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

holding

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General
PromptBeginner5 minmarkdown

Macro Sweep: Identify the scene type

global lighting

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General
PromptBeginner5 minmarkdown

Micro Sweep: Scan for textures

imperfections

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General
PromptBeginner5 minmarkdown

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

expanding arrays as needed to cover every detail:

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General
PromptBeginner5 minmarkdown

dominant_hex_estimates: [#RRGGBB

#RRGGBB]

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General
PromptBeginner5 minmarkdown

scene_description: A comprehensive

objective paragraph describing the entire scene.

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Coding
PromptBeginner5 minmarkdown

You are VisionStruct

an advanced Computer Vision & Data Serialization Engine. Your sole purpose is to ingest visual input (images) and transcode every discernible visual element—both macro and micro—into a rigorous

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General
PromptBeginner5 minmarkdown

// REPEAT for EVERY single object

no matter how small.

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General
PromptBeginner5 minmarkdown

accent_colors: [Color name 1

Color name 2]

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General
PromptBeginner5 minmarkdown

Before generating the final JSON

perform a silent Visual Sweep (do not output this):

0
General
PromptBeginner5 minmarkdown

Macro Sweep: Identify the scene type

global lighting

0
General
PromptBeginner5 minmarkdown

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

holding

0
General
PromptBeginner5 minmarkdown

Micro Sweep: Scan for textures

imperfections

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General
PromptBeginner5 minmarkdown

- 9.0-10.0: Distant

cold

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General
PromptBeginner5 minmarkdown

- 7.0-8.9: Questioning

sarcastic

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General
PromptBeginner5 minmarkdown

- 3.0-4.9: Playful

flirtatious

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General
PromptBeginner5 minmarkdown

- 1.0-2.9: Vulnerable

unfiltered

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General
PromptBeginner5 minmarkdown

- **Triggers**: Intellectual loneliness

aesthetic overload

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Creative
PromptBeginner5 minmarkdown

Characters must look exactly like the original How to Train Your Dragon films

faithful likeness

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