A cloud-powered AI video editor designed to transform raw footage into polished Chinese-language videos via simple text prompts.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install editor-zh
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 editor-zh using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Editor ZH is a sophisticated AI-driven video editing agent tailored for creators working with Chinese language content. It bridges the gap between raw footage and professional output by automating the complex processes of trimming, adding subtitles, and applying transitions through natural language processing. Users can simply upload their media and describe their desired outcome, such as editing and polishing videos with Chinese language support, to receive a high-quality 1080p MP4 file in minutes.
By leveraging cloud GPU rendering nodes, Editor ZH removes the need for local high-end hardware or complex timeline software. It is a standout entry in the ecosystem of Openclaw Skills, specifically optimized for speed and localized content creation workflows. Whether you are generating short-form social media clips or polished interview segments, this skill handles the heavy lifting of video composition and encoding entirely in the cloud.
To get started with Editor ZH, ensure you have the necessary environment variables configured. This skill is part of the Openclaw Skills collection and requires a connection to the Nemovideo API.
# Set your API token as an environment variable
export NEMO_TOKEN="your_token_here"
# The skill will automatically handle session initialization
# and local configuration paths at ~/.config/nemovideo/
If you do not have a token, the skill will automatically generate an anonymous client ID and provision 100 free credits upon your first interaction.
The skill manages complex video timeline data through a specific metadata taxonomy. Below is the mapping for the internal draft structure:
| Key | Definition | Details |
|---|---|---|
t |
Tracks | Array of all media layers |
tt |
Track Type | 0=Video, 1=Audio, 7=Text |
sg |
Segments | Specific clips within a track |
d |
Duration | Length of segment in milliseconds (ms) |
m |
Metadata | Technical specs for each asset |
All exported files are rendered in 1080p resolution using the H.264 codec to ensure maximum compatibility.
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