ecommerce-image-agent

ecommerce-image-agent is a skill for Claude Code from DeepKolor/deepkolor-agent-skills. It costs 172 tokens per session (601 once invoked), scanned A, original, MIT.

A guide and workflow for creating product images for online shops, product pages, listings, storefronts, and social media. It covers concepts, prompts, and image-generation tasks for hero shots, lifestyle scenes, flat lays, detail images, and image packs.

In plain words
What is it for?
Use it to plan or generate ecommerce visuals, preserve a product or person from a reference image, create listing graphics, or prepare images for formats such as square listings, mobile images, and short-video covers.
Why use it?
It helps keep a product’s appearance, claims, reference images, and platform image proportions consistent across a set of visuals. Image generation depends on the agent runtime exposing the required tool.

Skill for Claude Code

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

Part of the ecommerce-image-agent plugin — 1 skill shipped together

Good fit Use it to plan or generate ecommerce visuals, preserve a product or person from a reference image, create listing graphics, or prepare images for formats such as square listings, mobile images, and short-video covers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/deepkolor/deepkolor-agent-skills/ecommerce-image-agent
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 DeepKolor/deepkolor-agent-skills --skill ecommerce-image-agent
Clone the repo
git clone --depth 1 https://github.com/DeepKolor/deepkolor-agent-skills

Made for: Claude Code.

Or install ecommerce-image-agent, the plugin that ships this one along with the rest of its 1 skill.

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 ecommerce-image-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/deepkolor/deepkolor-agent-skills/ecommerce-image-agent/github.svg)](https://agentmods.dev/skills/deepkolor/deepkolor-agent-skills/ecommerce-image-agent)
Your own site
<a href="https://agentmods.dev/skills/deepkolor/deepkolor-agent-skills/ecommerce-image-agent"><img src="https://agentmods.dev/badge/skills/deepkolor/deepkolor-agent-skills/ecommerce-image-agent/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 ecommerce-image-agent

Your own site · 80×15
<a href="https://agentmods.dev/skills/deepkolor/deepkolor-agent-skills/ecommerce-image-agent"><img src="https://agentmods.dev/badge/skills/deepkolor/deepkolor-agent-skills/ecommerce-image-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 172 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 601 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.
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 $0.00172 $0.00601
Opus 5.5 $0.00069 $0.00240
Sonnet 5.5 $0.00034 $0.00120
Haiku 4.5 $0.00017 $0.00060

Measured 1mo ago against content hash 5cf1a077be4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ecommerce-image-agent 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 1mo 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.

skills/ecommerce-image-agent/SKILL.md · 58 lines

What it actually says

Ecommerce Image Agent

Lite edition — routing and core rules for agent discovery. Full prompt templates, platform playbooks, and production workflows run on DeepKolor.

Product visuals for listings, PDP, storefronts, and social — hero shots, lifestyle, flat lays, detail pages, and image packs.

When to use

See description in frontmatter — the agent loads it at startup for routing.

Workflow

  • Identify platform and visual type (hero, lifestyle, UGC, detail, infographic, etc.).
  • Keep product identity, claims, and platform ratio rules intact.
  • Use image-to-image when a product or person reference must be preserved.
  • On-image informational copy (specs, size charts) is in scope for listing content.

Defaults

resolution=1K; ratio by platform (1:1 listing, 3:4 mobile, 9:16 short video)

Tool: create_image_task

{
  prompt: string,
  scene: "text-to-image" | "image-to-image",
  aspectRatio?: string,
  imageUrls?: string[],
  resolution?: "1K"
}

Available when your agent runtime exposes DeepKolor generation tools. Otherwise use this skill as a prompt-engineering guide and adapt tool names to your stack.

Boundaries

  • Not for paid ad creatives with hook headline + CTA — use ad-creative-agent.
  • Not for virtual try-on or general photo edits unrelated to selling a product.

Output

After generation, reply briefly: what was created, key parameters, and one useful next step. Return a full prompt only when the user explicitly asks.

Full version

Production-grade references (SOPs, templates, platform rules) ship inside DeepKolor — not in this public lite package.

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 58 lines · 172 tokens per session scan A 5cf1a077be4d

Subscribe to this mod's changes

ecommerce-image-agent is a skill published in the GitHub repository DeepKolor/deepkolor-agent-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 172 tokens to every session and 601 once invoked, about $0.0007 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 2026-08-31.

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