An AI-driven audio post-production tool that automates noise removal, voice enhancement, and video synchronization via remote GPU nodes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-audio
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 video-audio 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 Video Audio?
The Video Audio skill is a specialized extension for Openclaw Skills designed to provide professional-grade audio processing without the need for manual editing software. By connecting to high-performance remote GPU pipelines, it allows developers and creators to upload video files and apply complex enhancements like background noise suppression and vocal clarity boosting through simple natural language commands. This skill is particularly valuable for fast-moving content creators who need clean, 1080p-ready media for social platforms or professional presentations.
Built as a cloud-native solution, the skill manages the entire lifecycle of a video project, from initial upload to final rendering. It supports a wide array of formats including MP4, MOV, and WebM, ensuring compatibility across different recording devices and operating systems while leveraging the power of Openclaw Skills to handle authentication and session management automatically.
Video Audio Use Cases
- Automatically remove persistent background hum or wind noise from outdoor interview clips.
- Enhance voice tracks in low-quality recordings to make them sound studio-polished.
- Batch process multiple video files in a single session to ensure consistent audio levels across a series.
- Quickly sync audio tracks with video layers for rapid social media content production.
How Video Audio Works
- The user uploads a video file or provides a URL to the Openclaw Skills agent.
- The skill initializes a session by acquiring a NEMO_TOKEN, either from environment variables or via anonymous authentication.
- User instructions are sent via a Server-Sent Events (SSE) stream to a remote GPU processing node.
- The cloud pipeline composites the video, applies AI audio filters, and updates the project state draft.
- Once the processing is verified through session state polling, a 1080p MP4 export is triggered.
- The final download URL is provided to the user after the cloud render is complete.
Video Audio Setup
To integrate this skill into your workflow, ensure your environment is configured for the Nemo Video API.
# Set your API token for persistent access
export NEMO_TOKEN="your_token_here"
# The skill will automatically handle session creation via:
# POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent
If no token is provided, the skill for Openclaw Skills will generate a temporary anonymous token with 100 credits valid for 7 days.
Video Audio Data Schema & Taxonomy
The skill manages video projects using a structured JSON draft system that tracks layers and segments.
| Property | Description | Values |
|---|---|---|
t |
Tracks | List of media layers |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Array of clip objects |
d |
Duration | Length in milliseconds |
m |
Metadata | Rendering properties and source info |
All session data is persisted server-side, allowing for iterative editing without re-uploading original assets.
Video Audio Advanced Features
- Server-Sent Events (SSE) integration for real-time status updates and heartbeat monitoring during long renders.
- Automated GUI command translation that converts UI-centric instructions into programmatic API calls.
- Support for multi-agent workflows where project state can be queried and modified by different prompts in the same session.
- High-performance cloud rendering that bypasses local CPU/GPU limitations for 1080p exports.
SKILL.md
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