Tmall & Taobao Main Image Video Maker

The E-Commerce Video Production Problem

Tmall and Taobao's main product videos have strict specifications: they must be clear, concise, and focus exclusively on the product. The first frame must be recognizable, and the process must preserve all necessary merchant-provided information like packaging, labels, and colors. These are typically required to be silent. Creating a short video that meets these standards and highlights selling points manually from a single static product image is time-consuming and technically challenging for many sellers.

This skill is designed to solve precisely this problem. It automates the entire image-to-video workflow, with the core objective of generating a static showcase video that is strictly product-centric, information-complete, and cleanly styled, ideal for new listings and detail page updates.

How the Skill Works: Core Workflow & Technical Paths

Starting with a real product image provided by you, the skill follows a structured workflow:

1. Product Story Planning: Before generation, it automatically plans a three-act structure: clear product entrance, showcasing a detail or usage moment, and a clean exit returning to the product. This ensures narrative completeness.
2. Fidelity-First Path Selection: Based on your image state and final goal, it selects the most faithful technical path:
   • Strict First-Frame Animation: If the product image needs no adjustment, it uses it directly as the animation start point, ensuring 100% preservation of product information in the first frame and all subsequent motion.
   • First-Frame Transform then Animate: If canvas or composition adjustments are needed, it first uses beatra.images.transform to generate a new product first frame, then animates from that.
   • Reference Video Generation: Can incorporate the dynamic style from a reference video, but the product image remains the primary visual guide.
   • First & Last Frame Interpolation: Used when precise control over both the start and end frames is required.
3. Silent Video Generation: The skill defaults to and emphasizes generating silent video (generate_audio: false), completely avoiding speech or background audio to meet the pure showcase requirement of main videos. The final output strictly adheres to the real-time model card's resolution, duration, and canvas settings.
4. Rigorous Confirmation & Submission: Before all paid operations (like image transforms, video generation), a confirmation card is generated, explicitly listing source material order, selected tools, models, cost estimates, and requiring you to confirm sufficient credits before submission, preventing unexpected charges.

Applicability Boundaries & Important Notes

Use this skill in the following scenarios:

• Core Use Case: Creating silent, product-focused Taobao/Tmall main videos starting from real product photos.
• Best For: New product launches, seasonal product page updates, and products where showcasing appearance, color, packaging, or a simple usage moment is key.

Use other skills for these cases:

• Short-form sales videos featuring a person on camera or with voiceover → product-video-studio
• Static main product images or image sets → ecommerce-listing-image-set or product-photo-studio
• Product showcase videos for WeChat Channels → wechat-channels-product-video
• Editing or repurposing existing videos → beatra-ai-video-studio

Critical Constraints:
* Execution relies on the bundled MCP client for all remote calls. Direct use of the REST API is prohibited.
* All generations use real-time model card parameters. Final canvas, resolution, and duration are determined by model capabilities and cannot be manually set beyond what the model allows.
* Strictly silent mode: No audio elements of any kind are attached. Core parameters like product image order and reference sequence, once frozen, constitute a new paid job if changed.