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Ecom Shot

Community
MagicCube
ecom-shot

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.

Overview

PublisherMagicCube
Repositoryagentara
Skill nameecom-shot
Stars
516
Forks
58
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by MagicCube on GitHub. Read the source before you install it.

Installation

Install the Ecom Shot AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/MagicCube/agentara/tree/main/user-home/.claude/skills/ecom-shot
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MagicCube/agentara.git /tmp/agentara
mkdir -p .claude/skills
cp -r /tmp/agentara/user-home/.claude/skills/ecom-shot .claude/skills/ecom-shot
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ecom Shot in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ecom Shot on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ecom Shot is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Nano Banana Pro is a "Thinking" model built on Gemini 3 Pro. It understands intent, physics, and composition. The key principles:

  1. Think like a Creative Director, not tag soup. Write in natural, descriptive English sentences — not comma-separated keyword lists. Nano Banana Pro's text encoder is an LLM that reasons about the prompt before generating.

  2. 6-element structure — Every prompt should include:

    • Subject: Precise description of the product with material, color, and distinguishing features
    • Composition: Camera angle, framing, how the product fills the frame (~85-90%)
    • Camera & Lens: Focal length (e.g., 85mm), aperture (e.g., f/8), ISO
    • Lighting: Specific setup (softbox, key light angle, fill ratio, rim light)
    • Style: The overall aesthetic (commercial product photography, editorial, etc.)
    • Technical specs: Resolution and aspect ratio
  3. Reference image directive — Always start with a clear instruction to use the uploaded image as reference: "Using the provided reference image as the product source, ..."

  4. Negative instructions — Include what to exclude: no text, no watermarks, no hands, no distracting elements.

  5. Resolution & Aspect Ratio — Specify the exact output: "Generate at 2K resolution (2048×2048 for 1:1)" or the appropriate dimensions for the chosen ratio.

Output Format

Present the prompt in a clean code block that the user can copy directly:

📸 Ecom Shot — {Product Name}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Scene: {scene type}
Aspect Ratio: {ratio}
Resolution: 2K

--- Prompt (copy below) ---

{the generated prompt text}

--- End Prompt ---

After the prompt, add a brief "💡 Tips" section with 1-2 actionable suggestions:

  • How to iterate if the result isn't perfect (e.g., "If the lighting feels flat, try adding: 'with dramatic side lighting creating deep shadows'")
  • Whether multi-turn editing could help (e.g., "After generating, you can ask Gemini to 'make the background slightly warmer'")

Step 4: Iterate if Needed

If the user wants to adjust the prompt:

  • For small tweaks: modify inline and re-output
  • For a different scene type: go back to Step 2
  • For additional variants: generate multiple prompts (e.g., white background + lifestyle pair)

Key Rules

  • Prompts are ALWAYS in English — Nano Banana Pro performs best with English prompts, even for Chinese-market e-commerce images
  • Analyze the actual image carefully — Don't guess the product. Look at material, color, shape, brand details
  • Be specific about camera parameters — Use real photography terminology (focal length, f-stop, lighting rigs)
  • Default to 1:1 at 2K unless the user specifies otherwise
  • No text in the generated image — E-commerce hero shots should be text-free; add text overlays separately
  • Preserve product identity — The prompt must instruct Nano Banana to maintain the exact appearance of the product from the reference image
  • Conversation and explanations should use the user's preferred language (check memory), but the prompt itself is always English
  • Use Chinese full-width punctuation for Chinese conversation content

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ecom Shot AI skill do?

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...

Why use Ecom Shot on TypingMind?

Because you install it once and use it with any model. Ecom Shot is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ecom Shot in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MagicCube/agentara/tree/main/user-home/.claude/skills/ecom-shot. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ecom Shot?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ecom Shot?

As many as you like. As long as a model supports skills, you can use Ecom Shot with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ecom Shot AI skill free?

It is published on GitHub by MagicCube. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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