A cloud-based AI video compression skill that transforms large files into YouTube-optimized 1080p MP4s without requiring local processing power.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install compressor-youtube
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 compressor-youtube 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 Compressor YouTube?
Compressor YouTube is a specialized utility designed for content creators who need to optimize video files quickly and efficiently. As a key part of the Openclaw Skills ecosystem, it offloads the resource-intensive task of video encoding to remote GPU nodes. This allows developers and YouTubers to convert formats like MOV, AVI, and WebM into high-quality H.264 MP4 files suitable for immediate upload.
By leveraging AI-driven workflows, the skill interprets natural language instructions to maintain visual fidelity while significantly reducing file size. It handles the end-to-end lifecycle of video preparation, from session authentication and secure file uploading to cloud rendering and final delivery, making it an essential tool for automated media pipelines.
Compressor YouTube Use Cases
- Compressing high-bitrate 4K vlogs into 1080p MP4 files for faster YouTube uploads.
- Converting incompatible video formats like WebM or MKV into standardized web-ready formats.
- Batch processing multiple clips in a single session to prepare a content library for social media.
- Optimizing large screen recordings for sharing across platforms while staying under file size limits using Openclaw Skills.
How Compressor YouTube Works
- The skill initializes a connection by checking for a NEMO_TOKEN or generating a temporary anonymous session for immediate use.
- The user uploads video files up to 500MB, which are stored securely in the remote cloud environment.
- User instructions (e.g., compress for YouTube without losing quality) are processed via SSE to configure the render pipeline.
- Remote GPU nodes composite the video layers and apply H.264 compression based on platform-specific requirements.
- The skill polls the render status every 30 seconds until the task is complete, returning a final download URL for the optimized file.
Compressor YouTube Setup
To integrate this skill into your workflow using Openclaw Skills, you can configure the environment as follows:
- Ensure the
NEMO_TOKENenvironment variable is accessible to your agent. - If no token is provided, the skill will automatically generate a UUID and request a free 7-day token from the backend.
# Example of setting the required environment variable
export NEMO_TOKEN="your_nemo_api_token"
Configuration data is typically stored in ~/.config/nemovideo/ to persist session information across different tasks.
Compressor YouTube Data Schema & Taxonomy
The skill manages video data and session states through a structured API schema:
| Attribute | Specification |
|---|---|
| Supported Input | mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac |
| Max File Size | 500 MB |
| Output Codec | H.264 (MP4) |
| Max Resolution | 1080p (1920x1080 or 1080x1920) |
| Authentication | Bearer token via NEMO_TOKEN |
| Tracking | session_id and task_id for persistent state management |
Compressor YouTube Advanced Features
- Remote GPU Acceleration: Offloads all rendering tasks to high-performance cloud nodes to preserve local CPU/GPU resources.
- Real-time SSE Streaming: Provides live feedback during complex editing and compression operations.
- Persistent Sessions: Allows for iterative adjustments to a video timeline without re-uploading the original source file.
- Intelligent Credit Management: Built-in support for checking balances and handling free-tier limits within Openclaw Skills.
- Automated Error Recovery: Specifically handles expired tokens and session timeouts to ensure uninterrupted batch processing.
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