A cloud-based AI video management and editing suite that automates the transition from raw footage to YouTube-ready 1080p exports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install youtube-creator-studio
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 youtube-creator-studio 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 YouTube Creator Studio?
The YouTube Creator Studio skill is a sophisticated cloud-integrated tool designed for creators who need rapid AI video management editing. By leveraging a high-performance cloud rendering pipeline, it allows users to upload files up to 500MB and apply complex edits through simple natural language commands. Whether you are using Openclaw Skills to trim a vlog or add sophisticated overlays, the backend handles the heavy lifting, delivering 1080p MP4 files optimized for platform publishing.
This skill streamlines the traditional editing workflow, making it possible to go from raw file to final render in just minutes. It integrates seamlessly with AI agents to interpret intent, manage multi-track timelines, and handle platform-specific compression automatically. By utilizing this specialized component within the Openclaw Skills ecosystem, developers and creators can bypass local hardware limitations and process video assets via high-performance cloud GPU nodes.
YouTube Creator Studio Use Cases
- Trimming long vlogs into concise segments with specific start and end times for better retention.
- Adding professional end screen elements and text overlays to enhance viewer engagement and calls to action.
- Optimizing raw MP4, MOV, or AVI files into platform-ready 1080p H.264 formats for immediate upload.
- Batch processing multiple video assets with consistent styles, background music, or branding elements.
- Iterative editing workflows where you refine a rough cut based on successive AI-driven instructions.
How YouTube Creator Studio Works
- The user provides a file or URL which is uploaded to the cloud-based processing API via a unique session-id.
- Natural language instructions are parsed into specific editing actions such as trimming, adding audio tracks, or overlaying text.
- A Server-Sent Events (SSE) stream is established to process the editing logic and generate the timeline in real-time.
- The timeline state is managed through a draft JSON structure that maps video, audio, and text tracks across the project.
- A render job is triggered on a cloud GPU node to composite layers and apply platform-specific compression.
- The skill polls the render status every 30 seconds and provides a final download URL for the exported 1080p video.
YouTube Creator Studio Setup
To get started with this skill, ensure your environment is configured to handle the necessary authentication tokens.
# Set your API token as an environment variable
export NEMO_TOKEN="your_nemo_api_token"
# The skill will automatically initialize sessions at:
# ~/.config/nemovideo/
On the first interaction, Openclaw Skills will connect to the processing API. If no token is provided, the skill can generate an anonymous UUID-based token to grant initial credits for video processing.
YouTube Creator Studio Data Schema & Taxonomy
The skill organizes video project data using a specific metadata taxonomy to ensure compatibility with the cloud render engine:
| Field | Mapping | Description |
|---|---|---|
t |
Tracks | A collection of all media layers in the project |
tt |
Track Type | 0 for Video, 1 for Audio, 7 for Text |
sg |
Segments | The specific time-sliced portions of a media file |
d |
Duration | The total length of the segment in milliseconds |
m |
Metadata | Technical details including dimensions and codecs |
YouTube Creator Studio Advanced Features
- Multi-agent support for interpreting complex, multi-step editing instructions.
- Automatic credit management and anonymous token generation for rapid user onboarding.
- High-resolution 1080p MP4 exports utilizing H.264 codec for maximum YouTube compatibility.
- Real-time SSE stream monitoring with automatic heartbeat detection to prevent session timeouts.
- Support for a wide range of file formats including WebM, MKV, and various audio/image assets.
- Integrated error handling for credit balance, file size limits, and session recovery.
SKILL.md
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