Product Photoshoot Workflow

Product Photoshoot Workflow is a skill for Claude Code from jau123/MeiGen-AI-Design-MCP. It costs 111 tokens per session (2,071 once invoked), scanned A, original, MIT.

A workflow for turning one product photo into a set of four e-commerce images from different visual directions.

In plain words
What is it for?
It is for making product photography sets, lifestyle scenes, macro views, and other marketing images from a supplied product reference photo.
Why use it?
It gives product sellers several ways to show the same item in use, up close, or in other sales-focused settings.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the meigen plugin — 3 skills, 4 commands shipped together

Good fit It is for making product photography sets, lifestyle scenes, macro views, and other marketing images from a supplied product reference photo.

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Install with agentmods
npx agentmods add skills/jau123/meigen-ai-design-mcp/product-photoshoot
About the project

MeiGen AI Design MCP is an MCP server that lets AI coding tools generate images and videos through cloud models, OpenAI-compatible APIs, or local ComfyUI, an interface for running image-generation workflows. It is for creating designs such as logos, product images, animations, and batches of visual variations from coding-agent environments. Its catalogue entries provide skills, commands, agents, a plugin, and a hook for using the server's design workflow.

jau123/MeiGen-AI-Design-MCP · 1,789 stars · on GitHub · meigen.ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add jau123/MeiGen-AI-Design-MCP --skill product-photoshoot
Clone the repo
git clone --depth 1 https://github.com/jau123/MeiGen-AI-Design-MCP

Made for: Claude Code.

Or install meigen, the plugin that ships this one along with the rest of its 3 skills, 4 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for Product Photoshoot Workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/jau123/meigen-ai-design-mcp/product-photoshoot/github.svg)](https://agentmods.dev/skills/jau123/meigen-ai-design-mcp/product-photoshoot)
Your own site
<a href="https://agentmods.dev/skills/jau123/meigen-ai-design-mcp/product-photoshoot"><img src="https://agentmods.dev/badge/skills/jau123/meigen-ai-design-mcp/product-photoshoot/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Product Photoshoot Workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/jau123/meigen-ai-design-mcp/product-photoshoot"><img src="https://agentmods.dev/badge/skills/jau123/meigen-ai-design-mcp/product-photoshoot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,071 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00111 $0.02071
Opus 5.5 $0.00044 $0.00828
Sonnet 5.5 $0.00022 $0.00414
Haiku 4.5 $0.00011 $0.00207

Measured 16d ago against content hash d80d3c4d5445, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Product Photoshoot Workflow scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 16d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/skills/product-photoshoot/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Photoshoot Workflow

Turn one product reference photo into a brand-ready set matching the requested count, each emphasizing a different sales angle.

Optional assistant scope

Use this planning workflow only when the caller asks for creative development. A supplied storyboard, prompt set or approved count/budget can call tools directly. Preserve explicit tool/model/provider, prompt, ratio, references and quality choices. Do not impose a new concept-selection or approval step on resolved inputs. Discovery is available to any workflow; delegation is optional. Return handles/results to the caller, which owns previews, downloads and presentation. Visual descriptions require actual inspection.

Choosing a dedicated Skill

When choosing a tool for an unresolved request, prefer the dedicated workflow: for transparent cutouts use remove_background; for ecommerce detail images use generate_product_detail_images; for posters use generate_marketing_poster; for white, smart or custom product backgrounds use generate_ai_background; for still-image upscaling use upscale_image. Call these tools directly. Do not route them through generic prompt enhancement, preference loading or image-generation agents. Preserve an upstream workflow's explicit tool selection. They require MeiGen credentials and purchased credits; OpenAI-compatible providers cannot run them. No daily free credits or Web free attempts apply.

Use list_skills for current inputs, defaults and prices. Ask only for missing required information or unresolved output scope. An explicit requested count/modules/quality already authorizes that scope; do not reconfirm it or add paid images. Product Detail MCP requires explicit modules (use [] for custom modules only); each selected module is one image. Posters need only a subject; images and copy are optional. Use defaults for unspecified settings and never invent product facts, dates or discounts.

Use real accessible images only. Both remote and local connections expose upload_skill_image; local npm also accepts real file paths for the four ordinary image-input workflows. If the host cannot read an attachment, ask for a public direct HTTPS image URL; never invent paths or base64.

Read the full file on GitHub · 94 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 16d ago Changed d80d3c4d5445
  2. 1mo ago Changed · +16 lines · -1 tokens per session 2d8419344372
  3. 1mo ago First seen · 78 lines · 112 tokens per session scan A c5da3f540e24

Subscribe to this mod's changes

Product Photoshoot Workflow is a skill published in the GitHub repository jau123/MeiGen-AI-Design-MCP (1,789 stars, last pushed 4d ago), licensed MIT. It adds 111 tokens to every session and 2,071 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.