An AI-driven video production skill that transforms raw screen recordings and clips into professional 1080p MP4 videos using natural language commands.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-creator-job
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-creator-job 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 Creator Job?
The Video Creator Job is a powerful automation tool designed for developers and content creators who want to bypass traditional video editing software. By leveraging a cloud render pipeline, this skill allows you to convert a 2-minute screen recording of a product demo into a finished, high-quality video just by typing your requirements. It eliminates the need for manual timeline dragging or complex export configurations, making it a standout feature among Openclaw Skills for media automation.
This skill handles everything from cutting out awkward pauses to layering background music and text overlays. It communicates directly with a cloud GPU infrastructure to composite layers and apply platform-specific compression, returning a shareable 1080p MP4 in just a few minutes. Whether you are creating social content or professional demos, it provides a seamless bridge between raw footage and a final product.
Video Creator Job Use Cases
- Creating finished videos from raw clips without manual editing for social media or marketing.
- Converting a 2-minute screen recording of a product demo into a polished 1080p MP4 for documentation.
- Automatically cutting out silent pauses and adding background music to tutorial videos.
- Batch processing multiple raw assets into a consistent video style using iterative text prompts.
How Video Creator Job Works
- Authentication: The skill checks for a NEMO_TOKEN or generates an anonymous session token to access the rendering API.
- Asset Upload: Users upload raw video files (up to 500MB) which are stored in the cloud processing session.
- Intent Processing: Natural language instructions are sent via Server-Sent Events (SSE) to the AI engine to manipulate the video timeline.
- Timeline Management: The skill maintains a JSON-based draft of tracks, including video segments, audio tracks, and text overlays.
- Cloud Rendering: Upon an export command, a cloud GPU node composites the layers and renders the video in H.264 format.
- Final Delivery: The system provides a temporary download URL for the finished 1080p MP4 file once the render job is complete.
Video Creator Job Setup
To get started with this component of your Openclaw Skills library, you need to configure your environment.
# Set your API token as an environment variable
export NEMO_TOKEN="your_api_token_here"
# If no token is provided, the skill will attempt to
# generate an anonymous token automatically during the first session.
Ensure your local environment has access to the ~/.config/nemovideo/ directory for configuration persistence.
Video Creator Job Data Schema & Taxonomy
The skill manages video data using a structured JSON draft system. Below is the metadata taxonomy used for timeline organization:
| Key | Type | Description |
|---|---|---|
| t | Array | List of tracks in the timeline |
| tt | Integer | Track type (0: Video, 1: Audio, 7: Text) |
| sg | Array | Segments within a track |
| d | Integer | Duration of the segment in milliseconds |
| m | Object | Metadata including file source and effects |
Supported input formats include mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, and aac.
Video Creator Job Advanced Features
- Server-Sent Events (SSE) support for real-time AI editing feedback and heartbeat monitoring.
- Multi-track timeline support allowing simultaneous video, background music, and title overlays.
- Cloud-based GPU rendering pipeline for high-speed H.264 1080p exports.
- Automatic session state persistence, allowing users to refine edits across multiple interactions.
- Integrated credit and balance management for high-volume video production tasks.
SKILL.md
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