Skills

Ecom Shot

Generate Nano Banana Pro (Gemini 3 Pro Image) prompts for e-commerce product photography.

Install

npx skills add MagicCube/agentara --skill ecom-shot -g -a claude-code -y
Repository
MagicCube/agentara516
Category
AI and agents
Updated
6mo ago
License
See repository
Context cost
Lightabout 1,273 tokens
Runs scripts
No, instructions only

What it does

Generate Nano Banana Pro (Gemini 3 Pro Image) prompts for e-commerce product photography. Given a user-uploaded product photo, this skill identifies the main subject, asks the user to choose a scene type, then outputs a professional, ready-to-paste English prompt optimized for Nano Banana Pro's image-to-image capabilities. Use this skill whenever the user uploads a product image and wants to generate an e-commerce photo, product shot, commercial image, or marketing visual using Nano Banana Pro / Gemini. Trigger phrases include: "ecom shot", "电商图", "产品图", "商品图", "product photo", "e-commerce image", "make a product shot", "generate a Nano Banana prompt for this product", "帮我做一张电商主图", "白底图", "商拍", "产品摄影", "hero shot", "packshot", or any request involving turning a casual product photo into a professional commercial image. Also trigger when the user mentions Nano Banana / Gemini image generation with a product photo.

Ecom Shot 📸

Generate studio-quality Nano Banana Pro prompts that turn casual product snapshots into professional e-commerce imagery.

How It Works

This skill acts as a Creative Director: it analyzes the uploaded product image, identifies the subject, and crafts a detailed photography-grade prompt that Nano Banana Pro can execute with a reference image. The output is a ready-to-paste English text prompt, the user takes it to Gemini App, Google AI Studio, or any Nano Banana Pro endpoint.

Workflow

Step 1: Validate Input

  1. Confirm the user has uploaded at least one image. If not, ask them to upload the product photo they want to transform.
  2. Carefully examine the uploaded image(s). Pay attention to:
    • What is the main product/subject? (e.g., a mechanical watch, a ceramic mug, a pair of sneakers)
    • What is the product's material, color, texture, key visual features?
    • What is the current context? (e.g., on a messy desk, held in hand, in packaging)
    • Are there any brand markings, logos, or distinctive design details worth preserving?

Step 2: Confirm Subject & Gather Preferences

Use ask_user_input_v0 to collect the user's preferences in one go:

Question 1, Subject Confirmation (single_select): Present what you identified as the main subject and ask the user to confirm or correct.

  • Options: your identified subject description, or "其他(我来描述)"

Question 2, Scene Type (single_select):

  • 纯白底主图(White Background Hero Shot)
  • 生活场景图(Lifestyle Shot)
  • 创意氛围图(Creative Atmosphere)
  • 自定义场景(Let me describe)

Question 3, Aspect Ratio (single_select):

  • 1:1(默认,适合淘宝/Amazon)
  • 4:3(横版展示)
  • 3:4(竖版/小红书)
  • 16:9(Banner/横幅)

Step 3: Generate the Prompt

Read the reference file at references/prompt-templates.md for scene-specific templates and photography parameters, then compose the final prompt.

Prompt Composition Principles

Read the whole SKILL.md on GitHub

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