An AI-driven video creation tool that transforms text and images into professional 1080p MP4 clips via cloud GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-generative-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 video-generative-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 Video Generative AI?
Video Generative AI is a powerful automation skill designed for creators and developers using Openclaw Skills to produce high-fidelity video content without manual editing. By interfacing with remote GPU nodes, this skill handles the heavy lifting of video synthesis, allowing users to generate complex visuals like a timelapse of city traffic at night simply by describing them. It streamlines the creative workflow by managing cloud sessions, asset uploads, and final exports through a professional API-driven pipeline, ensuring that professional video production is accessible via simple text commands.
Video Generative AI Use Cases
- Automating the creation of 1080p marketing clips using Openclaw Skills for social media campaigns.
- Generating custom B-roll footage like a timelapse of city traffic at night from simple text descriptions.
- Rapidly prototyping video concepts and visual styles without local hardware constraints.
- Building automated video content pipelines that utilize the cloud rendering capabilities of Openclaw Skills.
How Video Generative AI Works
- The skill initializes a cloud session and validates the NEMO_TOKEN for secure API access.
- Users upload text prompts or media assets (up to 200MB) which are stored in the temporary session state.
- Generative instructions are processed via Server-Sent Events (SSE), triggering remote GPU nodes to synthesize video frames.
- The skill monitors the timeline state, including video tracks, audio overlays, and text segments.
- Upon completion, the system composites the final render and provides a high-quality MP4 download URL.
Video Generative AI Setup
To begin using this skill within Openclaw Skills, ensure your environment is configured with the necessary API credentials. Set your token as an environment variable:
export NEMO_TOKEN="your_nemo_api_token"
On first run, the skill will automatically verify the token and establish a connection to the cloud processing backend. If no token is found, it can generate a 7-day anonymous token for testing.
Video Generative AI Data Schema & Taxonomy
The skill organizes video projects using a specific metadata taxonomy and session state for efficient cloud rendering.
| Key | Type | Description |
|---|---|---|
t |
Array | A collection of tracks (Video, Audio, Text) |
tt |
Integer | Track type identifier (e.g., 0 for Video, 1 for Audio, 7 for Text) |
sg |
Array | Segments containing media timing and asset references |
d |
Integer | The duration of the segment in milliseconds |
m |
Object | Metadata including asset source URLs and dimensions |
Video Generative AI Advanced Features
- Asynchronous SSE handling to manage long-running AI video generation tasks without blocking the UI.
- Dynamic GUI instruction mapping that translates natural language commands into timeline edits and track adjustments.
- Integrated credit management to track usage and account balance directly within the Openclaw Skills interface.
- Support for high-resolution 1080p MP4 exports with optimized H.264 compression for web compatibility.
SKILL.md
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