Video Generation

Generate videos from text prompts or images via an asynchronous task API.

Updated Dec 27, 2025
One-click install
npx skills add https://github.com/mayankmishra0403/printhub --skill video-generation-mayankmishra0403
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Video Generation
Source: https://github.com/mayankmishra0403/printhub/tree/main/skills/video-generation
Command: npx skills add https://github.com/mayankmishra0403/printhub --skill video-generation-mayankmishra0403

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z-ai-web-dev-sdk, and includes scripts (resource) components.

What problem does it solve?

AI-powered video creation from simple prompts or starting frames, enabling developers to produce video assets without building complex pipelines from scratch.

Core Features & Use Cases

  • Asynchronous Tasking: Create video generation tasks and poll for results, enabling scalable workflows.
  • Prompt and Image-Based: Generate videos from natural language prompts or start from images with optional frames.
  • Programmable Customization: Control size, FPS, duration, quality, and audio options for production-ready outputs.
  • Use Cases: Build marketing clips, tutorials, game cutscenes, and product demos with automated video assets.

Quick Start

Run a simple example to create a task with a prompt and poll for the resulting video URL.

Frequently Asked Questions about Video Generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate AI videos from text prompts and images asynchronously?

Generate AI videos from text prompts and images asynchronously by creating a task with parameters like prompt, image_url, quality, and duration, then polling the API until the task completes and returns a retrievable video URL.

Can I control video FPS, size, and duration when creating AI-generated video content?

Yes, you can control FPS, size, duration, quality, and audio options programmatically when creating AI-generated video content, ensuring the final output meets specific production requirements.

How does asynchronous polling work for AI video creation tasks?

Asynchronous polling works by sending a video creation request to the API, then repeatedly checking the task status until completion, allowing scalable workflows without blocking the main application thread.

Do I need the z-ai-web-dev-sdk to automate video content creation?

Yes, the z-ai-web-dev-sdk is required as the backend dependency to automate video content creation, handling the asynchronous task API and parameter processing for generating the final video URL.

What are the limitations of asynchronous AI video generation with polling?

Limitations include managing polling frequency to avoid rate limits and handling task timeouts, meaning you must implement retry logic for long-duration videos or high-quality rendering tasks.

What's the best way to build marketing clips and product demos using AI video generation?

The best way to build marketing clips and product demos is using an asynchronous AI video generation API, submitting natural language prompts or starting frames to automate the production of video assets.