An AI-powered video editing skill that automates the transformation of raw footage into professional LinkedIn content using cloud GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install editor-ai-linkedin
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 editor-ai-linkedin 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 AI LinkedIn Video Editor?
The AI LinkedIn Video Editor is a specialized tool designed for professionals and marketers who need to produce high-quality video content efficiently. By integrating this into your Openclaw Skills workflow, you can bypass complex manual editing software and rely on AI to handle tasks like trimming pauses, adding captions, and formatting clips for the LinkedIn feed. The skill offloads all heavy lifting to remote GPU nodes, ensuring that 1080p rendering happens in the cloud rather than on your local machine.
This skill supports a wide array of formats including MP4, MOV, and WebM, making it a versatile choice for anyone looking to maintain a consistent professional presence on LinkedIn. Whether you are editing a quick webcam update or a multi-part marketing series, this skill provides a streamlined, developer-friendly interface to get the job done in under two minutes.
AI LinkedIn Video Editor Use Cases
- Automatically trimming silence and filler words from professional updates.
- Adding captions and text overlays to increase accessibility on the LinkedIn feed.
- Batch processing multiple raw video files into standardized 1080p MP4 exports.
- Converting non-standard video formats like WebM or MOV into LinkedIn-optimized files.
- Iterative editing of marketing clips through natural language commands.
How AI LinkedIn Video Editor Works
- Authentication: The skill checks for a NEMO_TOKEN or generates an anonymous session token to begin the workflow.
- Session Initialization: A cloud-based project session is created to track media state and editing history.
- Media Upload: Raw footage up to 500MB is uploaded to the processing API for staging.
- AI-Driven Editing: Natural language instructions (e.g., "add captions") are sent via SSE (Server-Sent Events) to modify the video timeline.
- GPU Rendering: The final draft is queued on a cloud GPU node for composition and compression.
- Export: The skill polls for completion and provides a direct download link for the optimized MP4 file.
AI LinkedIn Video Editor Setup
To start using this Openclaw Skills extension, you need to configure your environment.
# Set your API token as an environment variable
export NEMO_TOKEN="your_nemo_api_token"
# If you don't have a token, the skill will automatically
# generate an anonymous token during the first run.
The skill also looks for configuration files at ~/.config/nemovideo/ to maintain user preferences and session data.
AI LinkedIn Video Editor Data Schema & Taxonomy
The skill manages video data using a structured timeline draft. This metadata allows for precise control over multiple tracks and segments.
| Field | Description |
|---|---|
| t | Tracks (The array of media layers) |
| tt | Track Type (0: Video, 1: Audio, 7: Text) |
| sg | Segments (Individual clips within a track) |
| d | Duration (Length in milliseconds) |
| m | Metadata (Original file info and platform specs) |
All temporary files and render jobs are associated with a unique session_id to allow for iterative refinements.
AI LinkedIn Video Editor Advanced Features
- Real-time SSE updates for live monitoring of the AI editing process.
- Intelligent mapping of GUI-based instructions (like 'drag' or 'click') to API actions.
- Multi-track timeline support allowing for simultaneous background music, voiceovers, and text layers.
- Automatic platform-specific compression (H.264) optimized for the LinkedIn feed algorithm.
- Support for advanced Openclaw Skills attribution headers for usage tracking and performance monitoring.
SKILL.md
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