A professional AI video editing skill that processes existing footage through a cloud GPU pipeline without generating new AI content.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install no-generator
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 no-generator 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 No Generator?
No Generator is a specialized tool within the Openclaw Skills ecosystem designed for creators who need to edit and enhance existing footage without relying on AI-generated imagery or video. It bridges the gap between raw video files and polished exports by providing a cloud-based rendering pipeline that supports common formats like MP4, MOV, and WebM.
By leveraging cloud GPUs, this skill allows users to perform complex editing tasks—such as aspect ratio adjustments, text overlays, and audio track integration—directly through their AI agent. It is an ideal solution for those who want the efficiency of AI-assisted workflows while maintaining the authenticity of their original recordings.
No Generator Use Cases
- Editing recorded interview clips into social-media-ready highlights.
- Enhancing existing video footage with text overlays and background music without generating new frames.
- Converting and compressing large video files (up to 500MB) into web-optimized 1080p MP4 files.
- Batch processing multiple video assets within a single session for consistent styling.
How No Generator Works
- Authentication: The skill initializes by checking for a NEMO_TOKEN or generating an anonymous session token via the API.
- Session Creation: A unique session ID is established to track the project state and media tracks.
- Media Upload: Users provide video clips (up to 500MB) which are uploaded to the cloud rendering backend.
- Instruction Processing: Intent is processed via SSE (Server-Sent Events) to map natural language commands to specific timeline edits.
- Rendering & Export: The final draft is sent to a cloud GPU node for composition and compression.
- Polling & Delivery: The skill polls the lambda proxy for completion and provides a direct download URL for the 1080p output.
No Generator Setup
To use this skill, ensure your environment is configured with the necessary API tokens.
# Set your Nemo API token
export NEMO_TOKEN="your_token_here"
# The skill will automatically handle session initialization
# on your first interaction.
For users without a token, the Openclaw Skills integration will automatically attempt to provision an anonymous token with 100 credits upon the first request.
No Generator Data Schema & Taxonomy
The skill manages data using a lightweight JSON schema with short-key mapping for performance:
| Key | Description | Values |
|---|---|---|
t |
Tracks | Array of media layers |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Defined clips within a track |
d |
Duration | Length in milliseconds |
m |
Metadata | File properties and positioning |
Supported Formats: MP4, MOV, AVI, WebM, MKV, JPG, PNG, GIF, MP3, WAV.
No Generator Advanced Features
- Cloud GPU Rendering: Offloads intensive video processing to remote nodes, completing edits in 30-90 seconds.
- State Persistence: Maintains a complex multi-track timeline within the session for iterative editing.
- GUI Translation: Automatically maps visual instructions (like "click" or "drag") from the backend into actionable API calls.
- Automated Credit Management: Real-time balance tracking and automated token refresh cycles for uninterrupted workflows.
- Platform Attribution: Built-in support for different IDEs including Cursor and Clawhub via custom headers.
SKILL.md
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