varg-ai is a comprehensive multimedia generation skill for creating AI-powered videos, images, speech, and music via cloud or local rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install vargai
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 vargai 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 varg-ai?
varg-ai is an advanced multimedia engine designed for Openclaw Skills that enables developers to generate and compose high-fidelity AI assets. It supports a dual-mode rendering architecture: a zero-install cloud mode using standard curl commands and a high-performance local mode powered by the bun runtime and ffmpeg. This versatility makes it ideal for everything from quick image generation to complex, multi-clip video productions.
The skill acts as a unified gateway to top-tier AI models like Kling, Nano Banana, and ElevenLabs. By abstracting complex API interactions into predictable TypeScript functions and JSX components, varg-ai allows for programmatic control over cinematic video generation, talking head animations, and automated social media content creation while maintaining a strict focus on cost-efficiency through intelligent caching.
varg-ai Use Cases
- Creating high-quality AI video animations and cinematic clips.
- Generating automated social media content with dynamic captions and background music.
- Building talking head characters and lip-synced presentations.
- Developing automated slideshows and product showcases for e-commerce.
- Rapid prototyping of multimedia assets using cheap preview models and local rendering.
How varg-ai Works
- Environment Detection: The skill identifies available system dependencies to choose between Cloud Render (API-driven) or Local Render (bun + ffmpeg) modes.
- Asset Generation: Users initiate media generation through specific function calls like Image(), Video(), or Speech() which interface with the Varg gateway.
- Composition: Generated assets are organized within a JSX tree using components like
, , and to define the timeline and layout. - Rendering: The code is processed either via a POST request to the Varg cloud render service or locally using the vargai CLI.
- Output: The final media file is compiled, incorporating transitions, overlays, and synchronized audio tracks.
varg-ai Setup
Prerequisites
Configuration
# Set your API key
export VARG_API_KEY="your_key_here"
# Run setup script to detect environment
bash scripts/setup.sh
Rendering a Video (Local)
# Preview (Free structure check)
bunx vargai render video.tsx --preview
# Full Render (Costs credits)
bunx vargai render video.tsx --verbose
varg-ai Data Schema & Taxonomy
varg-ai utilizes a structured approach to media metadata and file generation to maintain high efficiency within Openclaw Skills.
| Data Type | Description | Organization |
|---|---|---|
| Media Assets | Generated PNG, MP4, and MP3 files | Managed via unique prompt-based hashes |
| JSX Templates | .tsx or .jsx files |
Defines the hierarchy of the video timeline |
| Cache | Persistent prompt storage | Identical prompt/param strings trigger $0 cost hits |
| Provider Options | Gateway configuration | Uses providerOptions: { varg: {...} } for routing |
varg-ai Advanced Features
- Intelligent Caching: Automatically skips generation costs for identical prompt and parameter sets to save credits.
- Preview Mode: Generates free placeholder assets in local mode to validate video structure before spending credits.
- BYOK (Bring Your Own Key): Support for using individual provider keys (fal, elevenlabs) for $0 billing through the gateway.
- Layout Helpers: Advanced JSX components like
, , and for complex visual compositions. - Automated Captions: Direct integration between Speech components and
for perfectly timed subtitle tracks.
SKILL.md
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