Cozy Minimalist Kitchen Portrait

Prompt

Hyper-realistic medium shot of a young woman standing in a modern minimalist kitchen.

Pose: She is standing, casually leaning against a gray kitchen countertop. Her right hand rests naturally on the surface, and her body is slightly turned to the left while she looks directly into the camera. The pose is relaxed, confident, and welcoming.

Clothing: She is wearing a white oversized sweatshirt with voluminous lantern sleeves and long cuffs. The sweatshirt is tucked into light blue high-waisted jeans that fit her hips and have a straight-leg cut.

Hair: Smooth, straight hair worn down, falling naturally.

Makeup: Natural “no-makeup” makeup with softly defined eyes, nude lipstick, and radiant skin.

Mood: Cozy, calm, effortless, and warm. She has a gentle half-smile.

Background: A modern kitchen with light gray matte cabinets. On the countertop to her left is a white textured ribbed vase holding a single white rose and dried gypsophila branches.

Lighting: Soft natural daylight, as if coming from a large window. Diffused light creates gentle shadows and highlights the texture of the clothing and skin.

Camera angle: Eye-level, medium shot framed from the knees or thighs to the top of the head. Balanced composition with the subject centered.

Do not change the facial features. 3:4 vertical. Photorealistic, ultra-detailed 8K, shot on iPhone 16 Pro.

Copy prompt

Context cost: ≈342 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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