An AI-powered cloud video generation tool that converts text prompts and media assets into professional 1080p animated explainer videos.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install animated-video-maker-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 animated-video-maker-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 Animated Video Maker AI?
Animated Video Maker AI is a high-performance Openclaw Skills extension designed to automate the video production pipeline. By leveraging remote GPU nodes, it allows users to generate high-quality animated content without requiring local rendering power. The skill acts as a bridge between your creative vision and a sophisticated cloud-based render engine, handling everything from asset composition to H.264 compression.
This tool is specifically engineered for professionals who need to produce high-fidelity MP4 outputs quickly. Whether you are transforming a simple product description into a cinematic short or animating a series of static images, this skill streamlines the workflow through natural language processing and advanced backend API integrations.
Animated Video Maker AI Use Cases
- Creating animated explainer or promo videos from text and images for marketing campaigns.
- Converting static product descriptions into 30-second social media advertisements.
- Transforming educational scripts into visual lessons with synchronized audio tracks.
- Generating high-resolution 1080p MP4 exports for presentations and social platforms.
- Rapidly prototyping video layouts using AI-driven animation creation.
How Animated Video Maker AI Works
- The user provides a text prompt or uploads media assets like PNG, JPG, or MP4 files.
- Openclaw Skills establishes a secure connection to the backend API using a NEMO_TOKEN for session management.
- A session is initialized to track the timeline state, including video, audio, and text layers.
- Instructions are processed via an SSE (Server-Sent Events) stream, which coordinates the AI animation creation on cloud GPU nodes.
- The cloud pipeline composites the layers, applies transitions, and renders the project into a 1080p format.
- The user monitors the status and triggers an export job to receive a final download URL for the completed video.
Animated Video Maker AI Setup
To use this skill within Openclaw Skills, ensure your environment is configured with the required API token.
# Export your Nemo token to enable authenticated sessions
export NEMO_TOKEN="your_token_here"
# The skill automatically manages configuration at:
# ~/.config/nemovideo/
If you do not have a token, the skill will automatically attempt to acquire a free starter token using a unique client identifier.
Animated Video Maker AI Data Schema & Taxonomy
The skill organizes video projects using a specialized JSON schema for timeline management. Data is categorized by track types and metadata to ensure precise rendering.
| Key | Description | Values |
|---|---|---|
t |
Tracks | Array of media layers |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Defined clips within a track |
d |
Duration | Length in milliseconds (ms) |
m |
Metadata | Technical specs and asset properties |
Supported file formats include MP4, MOV, AVI, WEBM, MKV for video, and JPG, PNG, GIF, WEBP for images.
Animated Video Maker AI Advanced Features
- Multi-track timeline management for simultaneous video, BGM, and text overlay processing.
- Intelligent SSE stream polling to maintain session state during long-running render tasks.
- Automatic credit balance monitoring and session recovery for interrupted workflows.
- Batch processing support for handling multiple files within a single creative session.
- Platform-specific attribution headers to ensure high-priority render queue placement.
SKILL.md
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