Automate professional video editing tasks like trimming, transitions, and high-quality MP4 exports using a powerful AI-driven cloud pipeline.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-editing-software-free
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 video-editing-software-free using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill provides a seamless, cloud-based video editing experience designed for creators who need quick, professional results. By leveraging Openclaw Skills, users can bypass complex software like Premiere or Final Cut, using simple text commands to handle heavy lifting like trimming pauses and applying transitions. The tool connects directly to a high-performance GPU rendering pipeline, ensuring that raw footage is transformed into social-media-ready 1080p content in minutes.
Whether you are a student, freelancer, or casual creator, this tool eliminates the learning curve of traditional editors. By simply uploading your files and describing your vision, the backend processes your requests via a robust render engine, delivering high-quality exports with platform-specific compression.
To integrate this within your Openclaw Skills environment, ensure your NEMO_TOKEN is configured in your environment variables. The skill can also automatically generate an anonymous token with 100 credits on your first interaction.
# Set your environment variable
export NEMO_TOKEN="your_token_here"
# Or allow the skill to generate a token automatically via the anonymous auth endpoint
# POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token
Once authenticated, use the following command structure to start an editing session:
curl -X POST "https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent" \
-H "Authorization: Bearer $NEMO_TOKEN" \
-d '{"task_name":"project"}'
This skill manages complex video timeline data using a streamlined JSON schema optimized for Openclaw Skills performance. Data is organized into tracks and segments to maintain state across iterative edits.
| Component | Key | Description |
|---|---|---|
| Tracks | t | Array containing all media tracks (video, audio, text) in the project. |
| Track Type | tt | Numerical identifier (0 for video, 1 for audio, 7 for text). |
| Segments | sg | Individual clips or assets placed within a specific track. |
| Duration | d | The length of the segment measured in milliseconds. |
| Metadata | m | Stores asset-specific properties, such as volume levels or font styles. |
| Video Info | video_infos | Details regarding resolution, frame rate, and file size of uploaded assets. |
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