SKILL·E88C1A

ecommerce

Bria-AI
Updated 12 days ago
5 views
64
6
64
View on GitHub
Metaaidesign

About

The ecommerce skill automates batch generation of marketplace-ready product images—including packshots, cutouts, dimension visuals, and lifestyle scenes—from raw photo folders. It leverages Bria.ai's pipeline to create compliant listings for Amazon, Shopify, and Etsy at scale. Developers should now use the integrated `bria-ai` skill for this full catalog workflow alongside other image capabilities.

Quick Install

Claude Code

Recommended
Primary
npx skills add Bria-AI/bria-skill -a claude-code
Plugin CommandAlternative
/plugin add https://github.com/Bria-AI/bria-skill
Git CloneAlternative
git clone https://github.com/Bria-AI/bria-skill.git ~/.claude/skills/ecommerce

Copy and paste this command in Claude Code to install this skill

Documentation

Bria E-commerce — Product Catalog Builder

The full e-commerce product-catalog pipeline now lives in the bria-ai skill, alongside all other Bria image capabilities (generation, editing, background removal, upscaling, and more). This keeps one place to authenticate and one set of helpers to maintain.

Use the bria-ai skill for all product-catalog work. It contains:

  • Batch catalog pipelinebuild_catalog.py: a folder of raw product photos → per-product cutout, packshot, dimensions image, lifestyle scenes, and marketplace variants.
  • Marketplace variantsexport_variants.py + Marketplace Presets: Amazon / Shopify / Etsy specs (background, aspect ratio, product fill, min resolution).
  • Product endpoints — cutout, packshot, shadow, lifestyle shot (by text or image), product integrate, and Amazon-style product dimensions images (with dual cm / in callouts, weight, and capacity).
  • Listing copy scaffold — a listing.json per product for SEO title, description, bullets, and tags.

See the bria-ai skill's "Product Catalog Pipeline (batch)" section and its API Endpoints Reference for full details.

Related Skills

  • bria-ai — the main skill; contains the full product-catalog pipeline and all image capabilities
  • image-utils — Pillow-based resize/crop/composite (used by the variant exporter)

GitHub Repository

Bria-AI/bria-skill
Path: skills/ecommerce
0
agenagent-skillagent-skillsaiai-agentsclaude-code-skill
FAQ

Frequently asked questions

What is the ecommerce skill?

ecommerce is a Claude Skill by Bria-AI. Skills package instructions and resources that Claude loads on demand, so Claude can perform ecommerce-related tasks without extra prompting.

How do I install ecommerce?

Use the install commands on this page: add ecommerce to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.

What category does ecommerce belong to?

ecommerce is in the Meta category.

Is ecommerce free to use?

Yes. ecommerce is listed on AIMCP and free to install.

Related Skills

content-collections
Meta

This skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.

View skill
polymarket
Meta

This skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.

View skill
creating-opencode-plugins
Meta

This skill helps developers create OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It provides the plugin structure, event API specifications, and implementation patterns for JavaScript/TypeScript modules. Use it when you need to intercept, monitor, or extend the OpenCode AI assistant's lifecycle with custom event-driven logic.

View skill
sglang
Meta

SGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.

View skill