An AI-powered video editing skill that automates trimming, transitions, and export workflows via cloud rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-editor-link
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install video-editor-link using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Video Editor Link?
Video Editor Link is a sophisticated tool designed for content creators who need to move from raw footage to finished content without manual editing. By leveraging a high-performance cloud rendering pipeline, this skill allows users to transform clips using natural language. It is part of the broader ecosystem of Openclaw Skills, providing a bridge between raw media files and polished, shareable 1080p MP4 videos.
The skill handles the heavy lifting of video processing on remote GPU nodes, supporting various formats like MP4, MOV, and WebM. It streamlines the creative process by interpreting intents such as trimming pauses or adding background music, making it an essential asset for rapid digital content production.
Video Editor Link Use Cases
- Automatically trimming pauses and silences from screen recordings or tutorials.
- Adding professional transitions and text overlays to raw social media clips.
- Generating shareable 1080p MP4 links for rapid distribution across platforms.
- Batch processing multiple video assets within a single editing session.
- Quick conversion and optimization of various video formats for web use.
How Video Editor Link Works
- The skill authenticates with the backend using a NEMO_TOKEN or generates an anonymous session token for immediate use.
- A project session is initialized to track the timeline state, including video, audio, and text tracks.
- User-provided video files (up to 500MB) are uploaded to the cloud rendering pipeline.
- Natural language instructions are processed via a Server-Sent Events (SSE) stream to modify the project timeline.
- The skill triggers a cloud GPU render job to composite layers and apply platform-specific compression.
- A final download URL is provided once the high-quality MP4 export is complete.
Video Editor Link Setup
To integrate this capability into your Openclaw Skills workflow, ensure your environment variables are configured correctly.
# Set your Nemo API token to bypass anonymous limits
export NEMO_TOKEN="your_nemo_token_here"
# The skill will automatically handle session creation via:
# POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent
Video Editor Link Data Schema & Taxonomy
The skill utilizes a compact JSON draft schema to represent the video timeline and asset metadata:
| Key | Definition | Details |
|---|---|---|
| t | Tracks | List of all media layers |
| tt | Track Type | 0 for Video, 1 for Audio, 7 for Text |
| sg | Segments | Defined by start time and duration (ms) |
| d | Duration | Length of the segment in milliseconds |
| m | Metadata | Contains asset properties and rendering hints |
Video Editor Link Advanced Features
- Server-Sent Events (SSE) integration for real-time AI processing feedback.
- Automated timeline state recovery through persistent session IDs.
- Cloud-based GPU rendering for high-speed 1080p H.264 encoding.
- Support for multi-layered tracks including background music (BGM) and dynamic text overlays.
- Intelligent intent classification to map natural language to specific API editing actions.
SKILL.md
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