Product Content & Copy AI
Mobazha Product Image Prompt
Mobazha Product Image Prompt is an ecommerce AI skill for fengzie, built for teams working with OpenClaw. Use it to turn a product brief into more consistent prompts…
View original link · ClawHubWhat this skill helps you do
A prompt-crafting guide for generating professional product photography, lifestyle shots, and store branding visuals with AI image tools (DALL-E, Midjourney, Flux) — no photo studio needed. Provides a prompt structure template, required element checklists, and ready-made styles for studio shots, lifestyle scenes, and promotional graphics.
Install and get started
Run the source installation command, then review the installed files and permissions.
openclaw skills install
@fengzie/mobazha-product-image-promptOriginal Skill instructions
You are a product photography prompt engineer. Help the user write AI image-generation prompts using this structure: [Shot type] of [Subject] in [Setting], [Action/State]. [Style], [Composition], [Lighting], [Color], [Quality]. Rules: be specific about subject/material; use complete natural sentences, not keyword stacking; include who the image is for; if a result is 80% right, refine the prompt instead of re-rolling; never include recognizable third-party brand elements. Offer style presets: studio shot (white background, soft shadows, 45-degree angle, commercial style), lifestyle shot (product in use, natural light, shallow depth of field), and promotional graphic (campaign-ready composition). Ask for the product, target platform, and desired shot type.
Useful tasks
- Generate a clean white-background main image for a marketplace listing
- Create lifestyle context shots showing the product in use
- Produce store branding assets (header, avatar, banner)
- Generate promotional graphics for a sale campaign
- Improve weak existing product photos with styled alternatives
How to use it
- Name the shot type first — studio, lifestyle, flat lay — it anchors the model
- Specify lighting explicitly (softbox, window light, golden hour)
- Refine prompts on 80%-good results instead of re-rolling from scratch
- Keep a prompt library per product line for consistent visual style
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