Ozon listing image set skill
generate-ozon-image-set
A Codex skill that builds eight Ozon listing images from product photos and verified facts, with Russian localization and a guard against invented claims
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Extended access
Why this level
- Uses the agent's paid built-in image generation
- The resulting images get published on the seller's product listing
Install
- Works in
- Services
In your terminal, with SkillFoxx CLI
npx skillfoxx add skills/generate-ozon-image-setDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewExtended accessThe tool runs code or makes network calls and only reads external data.
- Uses the agent's paid built-in image generation
- The resulting images get published on the seller's product listing
This is third-party code. Review the repository files before installing.
What it does
The skill plans and assembles a set of eight 3:4 images for an Ozon listing: a main shot, a white-background shot, lifestyle scenes, a benefits infographic, a dimensions card and a detail card. Before generating anything it labels each supplied photo as a primary reference, alternate view, detail, packaging or logo, and requires a minimal fact set: category, color, material, package contents, dimensions and verified selling points with a source. Any stated feature must rest on a user-supplied fact, never a guess.
Who it is for. For Ozon sellers who need a consistent listing image set without a designer, given real product photos.
Good fit when
- You have real product photos and need a full Ozon listing set
- You need Russian-localized copy right on the images
- You need a benefits infographic based only on verified facts
Not a fit when
- You have no sharp real product photo at all
- The product is regulated and outside the supported categories
- You need images without the agent's built-in image generation
Example request
Build eight Ozon listing images for this backpack from the photos and specs I attachedLimitations
The skill targets Codex with built-in image generation; it is not verified to work with other agents. It needs source photos of reasonable quality; it cannot recover a product's real look from a poor photo. SKILL.md explicitly forbids inventing features without a source, but final image quality still depends on the agent's own generation capability.
How to disable. Remove the .agents/skills/generate-ozon-image-set folder from the agent's skills directory.
FAQ
Will the skill invent product specs on its own?
No, SKILL.md requires pausing and asking the user when a verified fact is missing.
Does it work in Claude Code?
The README and SKILL.md target Codex; compatibility with other agents is not documented.
Discussion
No questions or reviews yet.
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README in short
There is no separate README in the repository; all documentation lives in SKILL.md: it describes the workflow from checking input photos and facts to generating eight images under one visual system, with required reads of references for category localization and reference analysis.
README badge
Original SKILL.md
--- name: generate-ozon-image-set description: Generate a coherent eight-image Russian-language Ozon product listing set from user-supplied product photos and verified product, selling-point, size, package, and optional brand or logo information. Use when Codex must create Ozon main images, white-background product images, lifestyle scenes, benefit infographics, dimension cards, detail cards, footwear cards, or a complete 8-image marketplace set for supported non-regulated physical goods while preserving product identity and preventing invented claims. --- # Generate Ozon Image Set Create exactly eight 3:4 Ozon listing images with one visual system, localized Russian copy, traceable facts, and strict product-identity control. Treat the user's photos and confirmed facts as the only source of truth. ## Required references - Read category-and-localization.md before planning any set. - Read reference-analysis.md when choosing visual hierarchy, layouts, badges, scene intensity, or information density. ## Workflow ### 1. Inspect and gate inputs Inspect every supplied image at high detail before drafting copy or generating images. Label each image as primary reference, alternate view, detail reference, packaging reference, or logo.