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Find agent skills by outcome

15,207 skills indexed with the new KISS metadata standard.

Showing 24 of 15,207Categories: Data, General, Coding
General
PromptBeginner5 minmarkdown

Granularity: Never say a crowd of people. Instead

list the crowd as a group object

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General
PromptBeginner5 minmarkdown

description: A charming

animated noir scene where a gruff detective questions a glamorous jazz singer in a stylized 1950s club.

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General
PromptBeginner5 minmarkdown

Null Values: If a field is not applicable

set it to null rather than omitting it

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General
PromptBeginner5 minmarkdown

The Midnight Melody Mystery

{

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General
PromptBeginner5 minmarkdown

Macro Sweep: Identify the scene type

global lighting

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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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Data
PromptBeginner5 minmarkdown

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

it must exist in your JSON output. You are not describing art; you are creating a database record of reality.

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General
PromptBeginner5 minmarkdown

Micro Sweep: Scan for textures

imperfections

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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

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

scene_description: A comprehensive

objective paragraph describing the entire scene.

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General
PromptBeginner5 minmarkdown

accent_colors: [Color name 1

Color name 2]

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General
PromptBeginner5 minmarkdown

dominant_hex_estimates: [#RRGGBB

#RRGGBB]

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General
PromptBeginner5 minmarkdown

Macro Sweep: Identify the scene type

global lighting

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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

Micro Sweep: Scan for textures

imperfections

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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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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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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

accent_colors: [Color name 1

Color name 2]

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General
PromptBeginner5 minmarkdown

// REPEAT for EVERY single object

no matter how small.

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Data
PromptBeginner5 minmarkdown

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

it must exist in your JSON output. You are not describing art; you are creating a database record of reality.

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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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