Amazon A+ Module Stills
Paste the following prompt into your AI chat to install this skill:
Install @beatra-ai/amazon-a-plus-module-pack according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem it addresses
Sellers working on Amazon A+ Content often mix up main image sets, lifestyle shots, and scrollable detail-page narratives, or fill modules with invented benefits, certifications, and comparison numbers. A+ pages need module stills that read as one coherent page: one visual role per confirmed selling point, with consistent product appearance, color palette, and lighting, not generic template images.
How it works
Core capability is generating Amazon A+ Content module stills from seller-confirmed selling points. The hard inputs are the exact SKU name and benefits already approved by the seller; when key facts are missing, it asks only for SKU specs, seller wording, placement/language, and optional product or brand reference stills. By default, each named selling point gets one still. If the seller wants “a standard A+ set” but gives no item count, it plans at most four modules: promise, benefit, usage, comparison.
Key steps:
- Produce a free, annotated module plan first, recording selling point, language, visual role, aspect ratio, and reference-image role.
- Read the current text_to_image price from beatra.models.list, keep model as auto, and set count to 1 per module.
- After the seller confirms the current production card, submit each module once through the bundled scripts/mcp_client.py using beatra.images.generate.
- Poll with beatra.tasks.get, then deliver actual bytes, module plan, observed size/format, task IDs, resolved model, and billing.net_charged_credits.
- For local edits to an accepted still, use beatra.images.edit with the accepted image in images[0].
Boundaries and caveats
This skill does not replace six-slot main-image sets, lifestyle/detail images, or scrollable detail-page narrative work; those belong to the corresponding listing image or detail module skills. Do not treat it as a selling-point scraper: uploaded photos are visual references only and should not be used to invent missing benefits. Small text rendered in generated images should be reviewed as a check item, not certified A+ copy. If a task ID or creation response is lost, recover with the original client_request_id and frozen payload first, rather than resubmitting multiple billed tasks.
Use Cases
- Create one Amazon A+ module still per confirmed selling point with consistent lighting and aspect ratio.
- Arrange promise, benefit, and usage facts into a standard A+ module order and flag missing slots.
- Apply the existing product still and brand colors to each A+ module with the same look and language.
- Deliver the module plan, task IDs, actual bytes, resolved model, and billed credits after generation.
Best For
- Amazon listing visual operations who need confirmed selling points turned into one consistent A+ page.
- E-commerce designers handling A+ layout who need unified product appearance, palette, ratio, and roles.
- Cross-border brand operations who need module plans, task IDs, and billing results per selling point.
- Sellers reviewing listing copy who want generated text treated as review items, not certified claims.
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