Cozy Christmas Smile

Prompt

Use the uploaded photo of the person as the main subject.
Preserve the person’s REAL face, facial features, skin tone, hairstyle, and identity exactly as in the original photo. Do not change age or facial structure.

Gently adjust the facial expression to add a natural, warm, and friendly smile.
The smile should look realistic and subtle, not exaggerated or forced.
No change to facial proportions.

Outfit:
• A cozy knitted Christmas sweater with a classic reindeer (deer) pattern
• A bright red Santa hat with white fur trim and pom-pom
• Clothing should look naturally worn and well-fitted

Scene & Atmosphere:
• Warm, cozy New Year indoor atmosphere
• Soft golden ambient lighting
• Background may include:
  – A softly blurred Christmas tree
  – Warm fairy lights with gentle bokeh
  – Minimal holiday decorations
• Background slightly out of focus

Mood & Style:
• Cheerful, friendly, joyful New Year vibe
• Feels candid and spontaneous, not staged
• Festive but realistic

Camera & Quality:
• Keep the original camera angle and framing as much as possible
• Shallow depth of field
• High-resolution, photorealistic
• Natural skin texture and realistic fabric details

Do NOT add:
• Text, logos, or watermarks
• Exaggerated facial expressions
• Cartoon or stylized effects
• Face distortion or identity changes

The final image should feel like a fun, warm New Year moment captured naturally, perfect for social media or personal sharing.

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Context cost: ≈362 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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