A cloud-powered AI video editor for creating WeChat-ready MP4 clips with subtitles and automated trimming.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install free-wechat-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 free-wechat-video using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Free WeChat Video is a specialized tool within the ecosystem of Openclaw Skills designed for social media creators and WeChat users. It leverages high-performance cloud GPU rendering to process video clips in formats like MP4, MOV, AVI, and WebM up to 500MB, eliminating the need for local processing power or expensive editing software. By using natural language instructions, users can automate the creation of high-quality 1080p videos optimized specifically for WeChat sharing. This skill streamlines the entire production workflow, from raw footage upload to the final render, ensuring compatibility with WeChat Moments and chat requirements. Integrating Openclaw Skills like this allows developers and creators to bypass complex manual editing interfaces in favor of an AI-driven, conversational editing experience.
To get started with this skill in the Openclaw Skills framework, follow these configuration steps:
NEMO_TOKEN environment variable. If not provided, the skill will automatically generate a free client token with 100 credits.~/.config/nemovideo/ path is available for local configuration storage.# Set your API token
export NEMO_TOKEN="your_nemo_token_here"
# The skill will handle session creation and cloud rendering automatically.
The skill organizes video projects using a structured draft schema that tracks timeline changes. The following data points are managed during the editing lifecycle:
| Field | Key | Description |
|---|---|---|
| Tracks | t |
Array of all media tracks (video, audio, text) |
| Track Type | tt |
Identifier for content type (0: Video, 1: Audio, 7: Text) |
| Segments | sg |
Individual media clips placed within the timeline |
| Duration | d |
The length of a segment in milliseconds |
| Metadata | m |
Technical specs like codec info and resolution |
All files are exported as MP4 using the H.264 codec to ensure maximum compatibility with mobile devices.
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