amazon-plus-1.0

Automate Amazon product-image generation across modes A, B, C, and D.

1|Updated May 8, 2026
One-click install
npx skills add https://github.com/ghostltx/codex-skills --skill amazon-plus-1-0
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: amazon-plus-1.0
Source: https://github.com/ghostltx/codex-skills/tree/main/amazon-plus-1.0
Command: npx skills add https://github.com/ghostltx/codex-skills --skill amazon-plus-1-0

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Pillow, and includes scripts (resource) components.

What problem does it solve?

This Skill unifies and automates end-to-end Amazon product-image generation workflows across multiple modes (Mode A, B, C, and D) with consistent planning, line-art constraints, and centralized orchestration.

Core Features & Use Cases

  • Unified, multi-mode image-generation pipeline that coordinates Fantui planning, line-art constraints, and batch management for Amazon listings.
  • Supports lifestyle secondary images and A+ modules, with deterministic defaults and QA-friendly prompts to preserve product fidelity.
  • Scales to large catalogs by batching tasks (e.g., 9 secondary images + 9 A+ modules) and handling optional resources (scripts/references/assets) as needed.

Quick Start

Describe your product, attach product images, and choose a generation mode (A, B, C, or D) to generate a full 18-image set including 9 secondary images and 9 A+ modules.

Frequently Asked Questions about amazon-plus-1.0

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Amazon product image generation for large catalogs?

Amazon product image generation can be automated by batching tasks through a unified pipeline that handles 9 secondary images and 9 A+ modules per product. You describe your product, attach images, and select a generation mode to produce an 18-image set.

What are the different modes for generating Amazon lifestyle secondary images and A+ modules?

Amazon lifestyle secondary images and A+ modules are generated using distinct modes (A, B, C, and D) that apply consistent planning and line-art constraints. Each mode enforces specific prompts, product fidelity, scene realism, and resolution rules.

Can I batch process Amazon A+ content and secondary images while preserving product fidelity?

Batch processing Amazon A+ content and secondary images preserves product fidelity through deterministic defaults and QA-friendly prompts. The pipeline coordinates Fantui planning and RH100 batching to optimize throughput across large catalogs.

How does Fantui planning work with line-art constraints for Amazon listing images?

Fantui planning coordinates with line-art constraints to maintain consistent product representation across Amazon listing images. This mechanism ensures scene realism and enforces resolution and aspect-ratio rules across all generated outputs.

Do I need Pillow to generate Amazon A+ modules in batch?

Pillow is required to run the batch generation pipeline for Amazon A+ modules. The dependency supports the underlying image processing scripts that handle optional resources like references and assets.

What are the limitations of automated Amazon image generation workflows?

Automated Amazon image generation workflows require strict adherence to mode-specific prompts and line-art constraints to avoid product fidelity issues. Users must provide accurate product descriptions and images, as outputs depend heavily on these inputs.