A cloud-powered AI skill that automates video formatting and compression specifically optimized for WeChat sharing requirements.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weixin-video
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install weixin-video using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Weixin Video is a specialized tool designed to bridge the gap between high-quality video production and the specific technical constraints of the WeChat platform. By leveraging a cloud rendering pipeline, this skill allows developers and content creators to transform raw video files into WeChat-ready formats without manual editing. As part of the growing ecosystem of Openclaw Skills, it provides a seamless interface for handling file types like MP4, MOV, and WebM, ensuring they are compressed to 1080p MP4 while maintaining visual integrity.
The skill is particularly valuable for users who need to move fast. By simply describing the desired outcome, the AI manages the heavy lifting of transcoding, aspect ratio adjustment, and compression. It utilizes a sophisticated backend that handles everything from session management to asynchronous rendering, making it an essential utility for anyone looking to streamline their mobile social media workflows using Openclaw Skills.
To get started with this addition to your Openclaw Skills, ensure you have your environment configured. If you have a professional account, set your token as an environment variable:
export NEMO_TOKEN="your_nemo_api_token"
If no token is found, the skill will automatically generate an anonymous token with 100 free credits that expires after 7 days. The skill also requires configuration paths located at ~/.config/nemovideo/ for session persistence.
The skill utilizes a compact JSON schema to manage the video timeline and track metadata. This ensures low-latency communication during the SSE editing process.
| Key | Definition | Details |
|---|---|---|
| t | Tracks | An array containing video, audio, or text layers |
| tt | Track Type | 0 for Video, 1 for Audio, 7 for Text |
| sg | Segments | Individual clips or blocks within a specific track |
| d | Duration | Length of the segment measured in milliseconds |
| m | Metadata | Technical specifications of the source assets |
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