Manhattan Mirage

Prompt

{
  "title": "Manhattan Mirage",
  "description": "A high-octane, cinematic moment capturing a woman's confident stride through a steam-filled New York intersection during golden hour.",
  "prompt": "You will perform an image edit using the provided photo. Create an Ultra-Photorealistic image of the female subject. The style is highly detailed, resembling a frame shot on Arri Alexa with a cinematic 1:1 aspect ratio. Apply heavy depth of field to blur the busy background while keeping the subject sharp. Use cinematic lighting with strong backlight. The subject is wearing a red mini skirt and is walking on the street.",
  "details": {
    "year": "1999",
    "genre": "Cinematic Photorealism",
    "location": "A gritty, bustling New York City intersection at sunset, with steam rising from manholes and blurred yellow taxis in the background.",
    "lighting": [
      "Golden hour backlight",
      "Lens flares",
      "High contrast volumetric lighting"
    ],
    "camera_angle": "Low-angle tracking shot, centered composition.",
    "emotion": [
      "Confident",
      "Empowered",
      "Aloof"
    ],
    "color_palette": [
      "Crimson red",
      "Asphalt grey",
      "Golden yellow",
      "Deep black"
    ],
    "atmosphere": [
      "Urban",
      "Dynamic",
      "Cinematic",
      "Energetic"
    ],
    "environmental_elements": "Steam plumes rising from the ground, motion-blurred traffic, flying pigeons, wet pavement reflecting the sunset.",
    "subject1": {
      "costume": "red mini skirt",
      "subject_expression": "A fierce, confident gaze with slightly parted lips, perhaps wearing vintage sunglasses.",
      "subject_action": "walking on the street"
    },
    "negative_prompt": {
      "exclude_visuals": [
        "empty streets",
        "studio background",
        "overexposed sky",
        "static pose"
      ],
      "exclude_styles": [
        "cartoon",
        "3D render",
        "illustration",
        "anime",
        "sketch"
      ],
      "exclude_colors": [
        "neon green",
        "pastel pink"
      ],
      "exclude_objects": [
        "smartphones",
        "modern cars",
        "futuristic gadgets"
      ]
    }
  }
}

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Context cost: ≈550 tokens when used.

Why this score

Quality checklist

• ✓ Describes the subject: yes
• ✓ Names a style: yes
• ✓ Specifies lighting: yes
• ✓ Specifies camera or composition: yes
• ✓ Sets quality or detail: yes
• ✓ Gives size, duration or parameters: yes

The checklist is automatic and applies the same rules to every prompt. It checks structure, not whether the output is good. Prompt scores aren't comparable with tool scores. How we rank

Security

Scanned Nov 4, 2026 at the text shown on this page, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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