A conversational video editing workspace that automates trimming, captioning, and social media reframing through natural language commands.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-video-editing-tools
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 ai-video-editing-tools using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
AI Video Editing Tools transform the traditionally labor-intensive process of video production into a streamlined, conversational experience. By integrating these Openclaw Skills into your workspace, you can perform complex tasks like trimming dead air, suggesting B-roll placements, and generating on-screen text overlays without ever touching a complex timeline. It is designed specifically for creators and social media teams who need to move from raw footage to polished, platform-ready content in seconds.
The skill acts as a creative collaborator that understands the technical language of video. Whether you are cleaning up a podcast or restructuring a webinar, it interprets your high-level goals and translates them into actionable edit briefs and rendered exports. This is a must-have tool for anyone looking to leverage Openclaw Skills to handle the heavy lifting of media post-production through a cloud-based API.
To get started with these Openclaw Skills, you need to ensure your environment is correctly configured with the necessary API credentials.
# Set the primary environment variable
export NEMO_TOKEN="your_nemo_token_here"
# The skill also looks for configuration files in this directory
mkdir -p ~/.config/nemovideo/
If you do not have a token, the skill will attempt to POST to the anonymous-token endpoint using a unique client identifier to grant you initial credits.
The skill manages video projects using a specific metadata taxonomy and draft mapping system to ensure precise edits.
| Field | Technical Mapping | Description |
|---|---|---|
| t | Tracks | An array containing all media layers (video, audio, text) |
| tt | Track Type | Identifies layer content (0=Video, 1=Audio, 7=Text) |
| sg | Segments | Discrete clips within a track with start/end timecodes |
| d | Duration | Length of the segment in milliseconds |
| m | Metadata | Extended properties for filters, effects, and source info |
All exported media supports standard formats including mp4, mov, avi, and webm.
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