Amazon image sets from real photos
wu66chen/amazon-listing-images
Imports real photos and recognises the product, plans the set, makes one sample for approval, then batches main, secondary, colour and lifestyle images with a check on each before delivery.
Review notes
MReviewed by moveset · 2026-10-28 · version db48b49 · added by editors
- Good for
- Real photos and a full listing image set in one go.
- Not for
- Avoiding paid APIs.
Install
From the GitHub repository wu66chen/ecommerce-visual-skills at commit db48b4946e349af7a0fcb0fc2258adb9fa3b0524, take only the skills/amazon-listing-images-skill folder and put it in this project's .agents/skills/amazon-listing-images/ (for Claude Code, also copy it to .claude/skills/amazon-listing-images/). Don't run its scripts yet; tell me where you installed it and what it needs.
Pinned to db48b49 (2026-10-27), the version we reviewed and scanned
Installs come from the author's repository, not through moveset. Once the author claims it and hosts it on moveset, moveset install will work and deliver updates.
What it touches
- Files
- 18 files, 160 KB5 docs, 12 Python scripts, 1 other file
- Runtime
- Python 3 (Pillow, openai, requests)
- Network
- Calls the image API you configure (tokease.com by default)
- Scan
- Review items, checked by hand · same scan rules as moveset's own skills1 review item checked by hand: task_assets.py is a deprecated entry point that calls import_assets.py in the same folder.Addresses found in the files (including doc links; not all are contacted): opencode.ai, tokease.com
Author's description
Plan and create Amazon listing image sets from real product photos. Use for Amazon 商品套图、MAIN 首图、Listing 副图、多色商品图、场景图、细节图、白底主图复用. Imports source images, recognizes the product and existing white-background MAIN candidates with a vision model, proposes a configurable gallery plan with copy/white-background choices and costs, generates one representative image for approval, then completes, audits and delivers the remaining set with resumable records.amazon-listing-images · SKILL.md · wu66chen/ecommerce-visual-skills@db48b49
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