Find agent skills by outcome

Include at least the following fields: title

author

Please convert the following references into a single

consistent BibTeX format with these rules:

directive: Highlight areas perceived as actionable (buttons

inputs

directive: Apply a default top-left to bottom-right reading gravity biased towards the left margin

typical for western text scanning.

Ensure author names follow BibTeX standards (Last name

First name)

Creative

* Musical Atmosphere: Suggested genre

tempo

Data

technicalmetadatahypothesis: Arri Alexa

35mm Grain

directive: Identify human faces or eyes. These areas receive immediate

highest-intensity focus (hottest red zones within milliseconds).

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.

* Ambient Sounds: Room tone

atmospheric layers (wind

* Foley Requirements: Specific material interactions (footsteps on gravel

fabric rustle).

detected_objects: [Object 1

Object 2]

* Spatial Audio: 3D sound map

reverb tail

Predictive Eye Tracking Heatmap Generator

{

ocrtextdetected: [List

Any

Data

process: Simulate user eye movements based on established cognitive science principles

aiming for 85-90% predictive accuracy compared to real human data.

negative_prompt: text

watermark

reference_authority: [Nielsen Norman Group (NN/g)

Cognitive Load Theory

colorpalettehex: [#RRGGBB

#RRGGBB]

* Rhythm & Tempo: Pacing (Largo

Allegro

* Costume & Styling: Fabric textures (leather

silk)

* Material Physics: Specific textures (rust

chrome

* Micro-Beats & Emotion: Breakdown of action into seconds (e.g.

00:01 turns head). Analysis of internal feelings and body language.

* Framing & Lensing: Focal length (24mm

50mm