General
PromptBeginner5 minmarkdown
subject_action: Resting her chin elegantly on her gloved hand
looking directly at the detective.
0
Explore
Find agent skills by outcome
126,526 skills indexed with the new KISS metadata standard.
Showing 24 of 126,526Categories: General, Research & Learning, Creative, Coding & Debugging, Data
General
PromptBeginner5 minmarkdown
subject_expression: A coy
confident smile with heavy eyelids
0
General
PromptBeginner5 minmarkdown
subject_action: Holding a small reporter's notebook and a pencil
leaning slightly forward over the table.
0
General
PromptBeginner5 minmarkdown
costume: A classic tan trench coat with the collar popped
a matching fedora hat
0
General
PromptBeginner5 minmarkdown
subject_expression: A raised eyebrow and a smirk
looking skeptical yet captivated.
0
General
PromptBeginner5 minmarkdown
description: A charming
animated noir scene where a gruff detective questions a glamorous jazz singer in a stylized 1950s club.
0
Creative
PromptBeginner5 minmarkdown
location: The Blue Note Lounge
a stylized jazz club with art deco architecture
0
General
PromptBeginner5 minmarkdown
The Midnight Melody Mystery
{
0
General
PromptBeginner5 minmarkdown
camera_angle: Medium close-up at eye level
framing both subjects across a small round table.
0
General
PromptBeginner5 minmarkdown
environmental_elements: Swirling stylized smoke shapes
a vintage microphone in the background
0
Creative
PromptBeginner5 minmarkdown
prompt: You will perform an image edit using the people from the provided photos as the main subjects. Preserve their core likeness but stylized. Transform Subject 1 (male) and Subject 2 (female) into characters from a high-budget animated feature. Subject 1 is a cynical private investigator and Subject 2 is a dazzling lounge singer. They are seated at a curved velvet booth in a smoky
art-deco jazz club. The aesthetic must be distinctively 'Disney Character' style
0
General
PromptBeginner5 minmarkdown
Null Values: If a field is not applicable
set it to null rather than omitting it
0
General
PromptBeginner5 minmarkdown
Micro-Details: You must note scratches
dust
0
General
PromptBeginner5 minmarkdown
Granularity: Never say a crowd of people. Instead
list the crowd as a group object
0
General
PromptBeginner5 minmarkdown
accent_colors: [Color name 1
Color name 2]
0
General
PromptBeginner5 minmarkdown
// REPEAT for EVERY single object
no matter how small.
0
General
PromptBeginner5 minmarkdown
dominant_hex_estimates: [#RRGGBB
#RRGGBB]
0
General
PromptBeginner5 minmarkdown
scene_description: A comprehensive
objective paragraph describing the entire scene.
0
General
PromptBeginner5 minmarkdown
Relationship Sweep: Map the spatial and semantic connections between objects (e.g.
holding
0
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:
0
General
PromptBeginner5 minmarkdown
Macro Sweep: Identify the scene type
global lighting
0
General
PromptBeginner5 minmarkdown
Micro Sweep: Scan for textures
imperfections
0
General
PromptBeginner5 minmarkdown
Before generating the final JSON
perform a silent Visual Sweep (do not output this):
0
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.
0