General
PromptBeginner5 minmarkdown
Legebdary Exploded View Prompt For nanobanana
{
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Find agent skills by outcome
122,497 skills indexed with the new KISS metadata standard.
Showing 24 of 122,497Categories: Data & Insights, General, Data, Cursor-rules, Research & Learning, Coding & Debugging
General
PromptBeginner5 minmarkdown
positive: Konum: ${Location: Location}\nTarih: ${Date: YYYY-MM-DD}\n\nÖnce güvenilir kaynaklarla arama yap ve bu tarihte bu konumda gerçekleşen en önemli tarihsel olayı belirle. Sonra bu olayı temsil eden tek bir foto-gerçekçi
ultra detaylı
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General
PromptBeginner5 minmarkdown
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
PromptBeginner5 minmarkdown
Lighting is soft
controlled
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General
PromptBeginner5 minmarkdown
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
PromptBeginner5 minmarkdown
Avoid Turkish characters
uppercase letters
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General
PromptBeginner5 minmarkdown
Ensure author names follow BibTeX standards (Last name
First name)
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General
PromptBeginner5 minmarkdown
Additionally
include doi
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General
PromptBeginner5 minmarkdown
Include at least the following fields: title
author
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General
PromptBeginner5 minmarkdown
Use a single citation key format: firstauthorlastname + year (e.g.
esteva2017)
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General
PromptBeginner5 minmarkdown
Please convert the following references into a single
consistent BibTeX format with these rules:
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General
PromptBeginner5 minmarkdown
directive: Highlight areas perceived as actionable (buttons
inputs
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General
PromptBeginner5 minmarkdown
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
PromptBeginner5 minmarkdown
directive: Identify human faces or eyes. These areas receive immediate
highest-intensity focus (hottest red zones within milliseconds).
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Data
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technical_metadata_hypothesis: Arri Alexa
35mm Grain
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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
PromptBeginner5 minmarkdown
reference_authority: [Nielsen Norman Group (NN/g)
Cognitive Load Theory
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General
PromptBeginner5 minmarkdown
Predictive Eye Tracking Heatmap Generator
{
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General
PromptBeginner5 minmarkdown
negative_prompt: text
watermark
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General
PromptBeginner5 minmarkdown
detected_objects: [Object 1
Object 2]
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General
PromptBeginner5 minmarkdown
* **Spatial Audio:** 3D sound map
reverb tail
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General
PromptBeginner5 minmarkdown
color_palette_hex: [#RRGGBB
#RRGGBB]
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General
PromptBeginner5 minmarkdown
ocr_text_detected: [List
Any
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General
PromptBeginner5 minmarkdown
* **Visual Anchor Points:** Saccadic eye movement prediction (where the eye lands 1st
2nd).
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