90s Editorial Power Dressing Portrait

Prompt

Full-body black and white fashion editorial portrait of a young woman with an hourglass figure, standing in a professional photo studio against a smooth neutral gray gradient backdrop with a polished concrete floor. She has dark hair slicked back into a low neat bun, strong defined eyebrows, full lips, and an intense serious gaze looking directly at the camera. She is wearing a white fitted button-down dress shirt with the top buttons undone creating a deep V-neckline, sleeves rolled up to the mid-forearm, black wide suspenders with silver metal clips attached to high-waisted slim black ankle trousers, and black pointed-toe stiletto pumps. Her pose: standing with legs slightly crossed (right leg forward), both hands raised holding the suspenders near her collarbones, elbows slightly bent outward, shoulders back, confident powerful stance. Professional studio lighting with a large softbox key light from above-front, subtle fill light, soft shadows cast on the floor to the left. Shot with a full-frame DSLR, 85mm prime lens at f/5.6, ISO 100, frontal angle at hip height, full body vertical frame, everything in sharp focus. High-contrast monochrome, editorial fashion aesthetic, minimalist, androgynous-chic power dressing vibe, reminiscent of 90s Vogue photography by Peter Lindbergh, ultra high quality, magazine cover quality.

Copy prompt

Context cost: ≈336 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: no

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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