WeChat Channels Product Video Creator

The Problem It Solves

Creating refined vertical short videos for product promotion on WeChat Channels often requires converting static product images into dynamic content. Challenges include adhering to platform specifications like 9:16 aspect ratio, resolution, and duration, while ensuring the product remains the focus without relying on presenters. Traditional tools may lack precision in controlling product details or optimizing for video号, leading to inefficient workflows or subpar results. This skill specializes in transforming a real product image into a platform-compliant display video, addressing key issues of format, content structure, and posting material generation.

How It Works

The video-number-product-video-creator skill's core capability is generating vertical videos from product images, with the following workflow:

1. Input and Planning: Users provide an inspectable product image. The skill reuses known product information (e.g., name, selling points) and plans the video structure:
   - Product Opening: Ensures immediate product recognition and safe framing for title placement.
   - Usage or Detail Moments: Demonstrates user-provided selling points, visible textures, or usage contexts through restrained motion.
   - Closing Handoff: Ends with a clean screen, accompanied by title and copy direction for easy posting.

2. Visual Route Selection: Based on image quality, it chooses the minimal technical path:
   - Clean Vertical Image: Direct animation via beatra.videos.animate, where the image serves as a strict first frame, preserving key product features like shape, color, and labels in prompts.
   - Horizontal or Cluttered Image: First converts to a vertical first frame using beatra.images.transform, ensuring canvas adaptation to 9:16 and 720p resolution, then animates after approval.
   - Dynamic References: If users provide reference videos, integrates them via beatra.videos.generate_from_references, with the product image as the first reference and others ordered by role.
   - Strict First and Last Frames: When precise control is required, generates video via interpolation using beatra.videos.interpolate, potentially using beatra.images.edit for last-frame refinements.

3. Execution and Delivery: All remote operations must be performed through the bundled client scripts/mcp_client.py. Before payment, a confirmation card freezes parameters (e.g., model, controls, duration) and validates capabilities in real time. The final delivery includes the video artifact URL, model details, duration, and posting copy, ensuring the product is clearly visible in the frame.

Scope and Considerations

• Applicable Scenarios: Strictly for "product image + WeChat Channels product display". Use product-video-studio for general videos, douyin-ugc-ad-creator for influencer content, or beatra-ai-video-studio for editing existing videos.
• Input Requirements: Minimum input is a real, inspectable product image. If product information is missing, the skill pauses at the script or draft stage without charging. Factual claims (e.g., price, specs) must be user-provided—no fabrication.
• Technical Limitations: Visual routes depend on real-time card capabilities, verified via beatra.models.list for models, resolution, duration, etc. Platform defaults may be horizontal, so assume support for vertical only after confirmation.
• Payment and Confirmation: Planning and copywriting are free, but animation, editing, etc., require payment. Users must confirm sufficient credits via the client. Changes to product images, prompts, or routes constitute new paid work requiring re-confirmation.
• Client Dependency: Executed solely via the bundled client; no host Beatra Connector configuration or REST/OpenAPI fallback. The client updates silently but doesn't affect the current session.
• Delivery Review: After delivery, product features (e.g., shape, labels) are compared with the plan, with uncheckable attributes noted, and at most one focused modification suggested.