Video Generation

Generate AI videos from text prompts or images via asynchronous task polling.

Updated Dec 26, 2025
One-click install
npx skills add https://github.com/kamal81684/file_system --skill video-generation-kamal81684
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Video Generation
Source: https://github.com/kamal81684/file_system/tree/main/skills/video-generation
Command: npx skills add https://github.com/kamal81684/file_system --skill video-generation-kamal81684

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill enables developers to transform text prompts or input images into AI-generated videos using an asynchronous task workflow, reducing manual rendering time and enabling scalable video production.

Core Features & Use Cases

  • Text-to-video and image-to-video generation with configurable size, frame rate, and duration.
  • Asynchronous task processing with polling to manage long-running renders without blocking.
  • CLI and SDK examples for quick testing and production integration in web or backend apps.

Quick Start

Provide a prompt or image URL to initiate a video generation task and then poll for the result.

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 without blocking my backend application?

Generate AI videos asynchronously by submitting a text prompt to initiate a task and polling for the result. This non-blocking workflow handles long-running video renders, allowing your backend to process other requests while waiting.

Can I use an image as a starting point for AI video generation?

Yes, AI video generation supports image-to-video creation. You can provide an input image URL along with your prompt to initiate the rendering task and produce a customized video output.

What video parameters can I configure during AI video generation?

You can adjust video size, frame rate (fps), duration, and optional audio. These configurable parameters allow you to tailor the asynchronous video generation output to specific media creation requirements.

How does asynchronous task polling work for long-running video renders?

Asynchronous task polling works by starting a video generation job and periodically checking its status until completion. This manages extended render times efficiently without holding continuous active connections.

Do I need the z-ai-web-dev-sdk to generate videos asynchronously?

Yes, the z-ai-web-dev-sdk dependency is required on the backend to enable AI video generation. It provides the necessary SDK interfaces to initiate tasks and retrieve rendered results.

What are the best use cases for asynchronous AI video generation?

Asynchronous AI video generation is ideal for marketing videos, tutorials, product demos, and entertainment. These media creation workflows benefit from polling and result retrieval when rendering longer video durations.