An AI-powered tool that converts static Freepik assets and text prompts into professional 1080p animated videos in minutes.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-generator-freepik
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install video-generator-freepik using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Video Generator Freepik is a high-performance video creation agent designed to bridge the gap between static assets and dynamic content. By leveraging a cloud render pipeline, it allows users to turn three product photos from a Freepik download into 1080p animated video clips just by typing natural language instructions. This tool is part of the broader ecosystem of Openclaw Skills, enabling developers and marketers to automate high-quality social content generation without touching a traditional timeline editor.
Built for speed and precision, the skill handles everything from anonymous token management to complex Server-Sent Events (SSE) for real-time video editing. Whether you are generating short videos from Freepik stock images or creating quick social ads, this skill automates the rendering process on cloud GPU nodes, delivering finished MP4 files ready for distribution.
To get started with this skill, ensure your environment is configured for Openclaw Skills development. Set your environment variable to bypass anonymous registration if you have an account:
export NEMO_TOKEN="your_token_here"
If no token is found, the skill will automatically call the anonymous token endpoint to grant 100 credits valid for 7 days. Configuration files are stored at ~/.config/nemovideo/.
The skill manages data using a lightweight project draft JSON structure. Metadata and track information are categorized as follows:
| Key | Description | Type |
|---|---|---|
| t | Tracks | Array |
| tt | Track Type | Integer (0: Video, 1: Audio, 7: Text) |
| sg | Segments | Array of media clips |
| d | Duration | Long (ms) |
| m | Metadata | Object |
Render status can be polled via the /api/render/proxy/lambda endpoint until the status reaches completed.
Loading
A professional tool for generating high-quality horror video content from text descriptions and images using cloud-based GPU rendering.

An AI-powered video creation tool that transforms simple clips into viral brainrot-style content with split-screens and captions.

An automated AI agent skill that transforms static photos into realistic, high-definition hug animation videos ready for social media.

A professional-grade tool for implementing deferred loading strategies in persistence layers to eliminate N+1 queries and optimize memory usage.

A strategic decision engine for selecting and implementing the correct offline concurrency control patterns to prevent data loss in long-running business transactions.

A cloud-based AI video editor that transforms raw footage into professional clips with transitions, color grading, and motion effects.








































