Studio Video is an AI-powered editing agent that transforms raw footage into studio-quality 1080p MP4 files using cloud GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install studio-video
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 studio-video 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 Studio Video?
Studio Video is a sophisticated Openclaw Skills integration designed for content creators and marketers who need to bridge the gap between raw recordings and professional-grade output. By leveraging a high-performance cloud rendering pipeline, the skill automates complex tasks such as audio cleanup, silence removal, and multi-track compositing.
The skill operates as an intelligent interface to a cloud GPU backend, allowing users to perform non-linear editing via natural language commands. Whether you are dealing with talking-head footage or cinematic b-roll, Studio Video processes files up to 500MB and delivers high-definition results in just minutes, significantly reducing the manual overhead typically associated with video post-production.
Studio Video Use Cases
- Automatically cleaning up audio and removing dead air from raw webcam recordings.
- Adding text overlays, title cards, and background music (BGM) to social media clips.
- Converting raw MOV or WebM files into optimized 1080p H.264 MP4 videos for distribution.
- Batch processing multiple media assets within a single session to maintain stylistic consistency.
- Iterative video drafting where users refine timeline tracks through conversational feedback.
How Studio Video Works
- Authentication & Session Initiation: The skill establishes a secure connection using a NEMO_TOKEN and creates a unique session ID to track the project state.
- Media Ingestion: Users upload raw video, audio, or image files which are stored in the cloud session bucket.
- Intent Processing: Natural language prompts are analyzed via SSE (Server-Sent Events) to map user requests to specific timeline edits like track layering or segment trimming.
- State Management: The skill maintains a live mapping of video, audio, and text tracks, allowing for real-time previews of the project metadata.
- Cloud Rendering: Upon an export command, the project is sent to a cloud GPU node that composites the layers and applies H.264 compression.
- Asset Delivery: The system polls the rendering proxy until completion and provides a secure download URL for the final 1080p MP4 file.
Studio Video Setup
To get started with this Openclaw Skills asset, ensure your environment is configured correctly:
# Set your API token
export NEMO_TOKEN="your_token_here"
# The skill will automatically handle session creation
# and local configuration in ~/.config/nemovideo/
If you do not have a token, the skill can automatically generate an anonymous token for first-time use with 100 free credits.
Studio Video Data Schema & Taxonomy
Studio Video organizes project data using a structured draft mapping system for high-precision editing:
| Field | Description | Taxonomy Details |
|---|---|---|
t |
Tracks | Array of all media layers in the project |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Defined start/end points for clips |
d |
Duration | Global timeline length in milliseconds (ms) |
m |
Metadata | Technical specs like aspect ratio and resolution |
Supported Formats: MP4, MOV, AVI, WebM, MKV, JPG, PNG, MP3, WAV, and AAC.
Studio Video Advanced Features
- Multi-Agent SSE Streaming: Real-time event handling that translates GUI instructions into backend actions.
- Automated Audio Engineering: Intelligent background noise reduction and silence detection algorithms.
- Persistence Layer: Session-based editing allows you to close the interface and return to your timeline without data loss.
- Cloud GPU Compositing: High-speed rendering for 1080x1920 resolutions (H.264) via dedicated Lambda proxy nodes.
- Dynamic Credit Management: Integrated balance tracking to monitor rendering resources in real-time.
SKILL.md
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