Find agent skills by outcome

location: The Blue Note Lounge

a stylized jazz club with art deco architecture

Creative

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

Micro-Details: You must note scratches

dust

Null Values: If a field is not applicable

set it to null rather than omitting it

The Midnight Melody Mystery

{

Granularity: Never say a crowd of people. Instead

list the crowd as a group object

// REPEAT for EVERY single object

no matter how small.

accent_colors: [Color name 1

Color name 2]

scene_description: A comprehensive

objective paragraph describing the entire scene.

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:

dominant_hex_estimates: [#RRGGBB

#RRGGBB]

Micro Sweep: Scan for textures

imperfections

Macro Sweep: Identify the scene type

global lighting

Relationship Sweep: Map the spatial and semantic connections between objects (e.g.

holding

Before generating the final JSON

perform a silent Visual Sweep (do not output this):

dominant_hex_estimates: [#RRGGBB

#RRGGBB]

// REPEAT for EVERY single object

no matter how small.

accent_colors: [Color name 1

Color name 2]

scene_description: A comprehensive

objective paragraph describing the entire scene.

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:

Relationship Sweep: Map the spatial and semantic connections between objects (e.g.

holding

Before generating the final JSON

perform a silent Visual Sweep (do not output this):

Macro Sweep: Identify the scene type

global lighting

Micro Sweep: Scan for textures

imperfections