An AI-powered skill that transforms audio recordings into professional 1080p captioned videos optimized for social media platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install audio-to-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 audio-to-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 Audio to Video?
The Audio to Video skill provides a robust bridge between raw audio data and high-quality visual content. It allows AI agents to process MP3, WAV, M4A, and AAC files by leveraging remote GPU nodes to generate waveforms, synchronized captions, and text overlays without requiring local processing power. This Openclaw Skills integration is specifically designed for podcasters and content creators who need to repurpose audio content for visual-first platforms like Instagram, TikTok, and YouTube.
By utilizing a cloud-based render pipeline, the skill can handle files up to 200MB and deliver a finished MP4 in roughly 1-2 minutes. The system handles complex tasks such as intent classification for editing commands, session persistence for iterative design, and automated credit management for seamless workflow continuity.
Audio to Video Use Cases
- Turning podcast clips into captioned social media snippets.
- Creating music visualizers with dynamic waveforms for audio-only tracks.
- Automating the generation of subtitles and overlays for voice recordings.
- Batch processing multiple audio files into branded video assets.
How Audio to Video Works
- Authentication: The skill establishes a connection using a NEMO_TOKEN or generates an anonymous session token for temporary use.
- Session Initiation: A new editing session is created to track the state of the video timeline and project metadata.
- File Upload: Audio or media assets are uploaded to the cloud backend where they are prepared for processing.
- Processing Prompts: User instructions are sent via Server-Sent Events (SSE) to generate video layers, captions, and visual effects based on the audio content.
- Rendering: The skill triggers a cloud GPU export job that composites all layers into a 1080p MP4 file.
- Status Polling: The agent monitors the render progress and provides a direct download link once the video is ready.
Audio to Video Setup
To use this skill, ensure you have your API credentials configured. Openclaw Skills can automatically handle session creation if a token is provided.
# Set your environment variable for persistent access
export NEMO_TOKEN="your_nemo_api_token"
# The skill also checks for configuration in:
# ~/.config/nemovideo/
Audio to Video Data Schema & Taxonomy
The skill organizes video projects using a specific JSON draft schema to manage timeline tracks.
| Key | Definition |
|---|---|
| t | Tracks (The array of media layers) |
| tt | Track Type (0=video, 1=audio, 7=text) |
| sg | Segments (Individual clips within a track) |
| d | Duration (Time in milliseconds) |
| m | Metadata (Scale, position, and filter settings) |
Audio to Video Advanced Features
- Real-time SSE streaming for live feedback during AI video generation.
- Automatic intent classification to route natural language commands to specific API actions.
- Support for iterative editing where the timeline state is preserved across multiple turns.
- High-performance H.264 compression optimized for mobile social media platforms.
- Comprehensive error handling for credit management and session recovery.
SKILL.md
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