Realistic Amateur Phone Photo with WhatsApp Chat

Prompt

Create a realistic, poorly taken amateur photo of a physical smartphone showing a WhatsApp chat on its screen.

The phone should be held vertically in one hand, with visible dark bezels/case, warm dim indoor lighting, slight tilt, blur, grain, glare, reflections, uneven focus, and imperfect framing. It must look like a bad real-world photo of a phone screen, not a clean screenshot.

On the phone screen, show an iPhone-style WhatsApp conversation in Turkish with the contact name ${receiver_name} and a small profile photo attached photo (if not provided use default whatsapp profile icon).

Chat subject:
${talk_subject}

Generate the WhatsApp dialogue naturally based on the subject above. The contact’s messages should be in ${language_name:Turkish} language and ${talk_style} (e.g. broken ${language_name:Turkish} with typos and awkward wording. My messages should be correct ${language_name:Turkish} with no typos). Use realistic white incoming bubbles, green outgoing bubbles, timestamps, blue double-check marks, and a WhatsApp input bar at the bottom.

Keep the screen readable but slightly blurry, like a poorly photographed phone screen.

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Context cost: ≈288 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: no
• ✗ 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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