VidMuse AI is a cloud-based video editing skill that automatically synchronizes video clips to music beats for high-quality content creation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install vidmuse-ai
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 vidmuse-ai 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 VidMuse AI?
VidMuse AI is a powerful addition to the Openclaw Skills ecosystem designed for content creators who need professional music-synced videos without local hardware strain. By leveraging cloud GPUs, the skill processes formats like MP4, MOV, and WebM to deliver high-definition 1080p renders in just minutes.
The skill excels at interpreting natural language prompts to perform complex editing tasks. Whether you are generating beat-synced music videos from raw footage or applying text overlays, VidMuse AI manages the entire render pipeline externally, ensuring your local environment remains lightweight and responsive.
VidMuse AI Use Cases
- Creating 60-second high-definition social media clips with background tracks.
- Generating beat-synced music videos from raw footage for professional content creators.
- Batch processing multiple video assets within a single iterative session.
- Quickly converting various video formats into optimized 1080p MP4 files.
How VidMuse AI Works
- The user provides video clips via upload or URL within the chat interface.
- The skill authenticates using a NEMO_TOKEN and establishes a dedicated project session.
- User instructions are parsed via intent classification to trigger specific actions like SSE editing, credit checks, or state updates.
- Editing commands are sent to a cloud GPU node which composites layers and applies beat-syncing logic.
- The render engine generates a final MP4 file and provides a direct download URL once the status is marked as completed.
VidMuse AI Setup
To use this within your Openclaw Skills environment, ensure your NEMO_TOKEN is configured:
# Export your token to the environment
export NEMO_TOKEN="your_anonymous_or_registered_token"
# Or allow the skill to auto-generate a free token via:
# POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token
VidMuse AI Data Schema & Taxonomy
The skill utilizes a structured draft system to manage the video timeline and metadata:
| Component | Key | Description |
|---|---|---|
| Tracks | t |
Array of media tracks |
| Track Type | tt |
0=Video, 1=Audio, 7=Text |
| Segments | sg |
Individual clips within a track |
| Duration | d |
Measured in milliseconds (ms) |
| Metadata | m |
Additional file or effect properties |
VidMuse AI Advanced Features
- Multi-agent support for handling complex iterative video edits within a single session.
- Automated session state polling to handle asynchronous backend updates without manual refreshes.
- Intelligent attribution headers (X-Skill-Source) for tracking across different platforms like Cursor or Clawhub.
- Real-time SSE (Server-Sent Events) streaming for live progress feedback during the generation process.
SKILL.md
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