General
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Captured with a high-end DSLR look — shallow depth of field
sharp focus on the food
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Explore
Find agent skills by outcome
130,334 skills indexed with the new KISS metadata standard.
Showing 24 of 130,334Categories: General, Coding & Debugging, Openclaw, Data
General
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negativePrompt: no people
no messy layout
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General
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lighting: soft even studio lighting
subtle reflections
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General
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directive: Highlight areas perceived as actionable (buttons
inputs
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General
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Please convert the following references into a single
consistent BibTeX format with these rules:
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General
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directive: Identify human faces or eyes. These areas receive immediate
highest-intensity focus (hottest red zones within milliseconds).
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General
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Include at least the following fields: title
author
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General
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directive: Identify elements with high contrast or unique visual weight (e.g.
primary CTAs like a 'Create' button). These must be marked as high-priority fixation points.
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General
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Lighting is soft
controlled
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General
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Avoid Turkish characters
uppercase letters
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General
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Ensure author names follow BibTeX standards (Last name
First name)
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General
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Additionally
include doi
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General
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directive: Apply a default top-left to bottom-right reading gravity biased towards the left margin
typical for western text scanning.
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General
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The dish is shown in its most recognizable and ideal serving form
with accurate proportions and highly realistic details — natural textures
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General
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Use a single citation key format: firstauthorlastname + year (e.g.
esteva2017)
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General
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negative_prompt: text
watermark
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Data
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technical_metadata_hypothesis: Arri Alexa
35mm Grain
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General
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* **Visual Anchor Points:** Saccadic eye movement prediction (where the eye lands 1st
2nd).
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General
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Predictive Eye Tracking Heatmap Generator
{
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General
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* **Foley Requirements:** Specific material interactions (footsteps on gravel
fabric rustle).
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General
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* **Ambient Sounds:** Room tone
atmospheric layers (wind
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General
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reference_authority: [Nielsen Norman Group (NN/g)
Cognitive Load Theory
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Data
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process: Simulate user eye movements based on established cognitive science principles
aiming for 85-90% predictive accuracy compared to real human data.
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General
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detected_objects: [Object 1
Object 2]
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