Cinematic Urban Night Portrait - Moody Streetwear Aesthetic

Prompt

{
  "scene_setup": {
    "subject": {
      "clothing": "wearing a black oversized hoodie, black backwards baseball cap, silver chain necklace",
      "appearance": "male model, beard, intense serious gaze, masculine features",
      "pose": "sitting or leaning forward, looking down at camera, authoritative stance"
    },
    "camera_angle": {
      "type": "Low angle shot",
      "focus": "Sharp focus on face, shallow depth of field (bokeh background)",
      "framing": "Medium close-up portrait"
    },
    "environment": {
      "location": "Urban street at night, under a concrete bridge or overpass",
      "background_elements": "blurred city lights, bokeh skyscrapers, a car with headlights on in the background",
      "ground": "wet asphalt, rain reflections"
    },
    "lighting_and_fx": {
      "style": "Cinematic moody lighting, high contrast",
      "colors": "Teal and orange color grading, warm street lights vs dark blue sky",
      "effects": "Smoke or steam rising in the foreground, volumetric lighting"
    },
    "technical": {
      "quality": "Photorealistic, 8k resolution, raw photo style, highly detailed texture",
      "engine": "Unreal Engine 5 render style or high-end photography"
    }
  }
}

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Context cost: ≈308 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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