Video Generation

Generate videos from text prompts or images using the z-ai-web-dev-sdk.

Updated Dec 23, 2025
One-click install
npx skills add https://github.com/mattismyname3011/school-council-election --skill video-generation-mattismyname3011
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Video Generation
Source: https://github.com/mattismyname3011/school-council-election/tree/main/skills/video-generation
Command: npx skills add https://github.com/mattismyname3011/school-council-election --skill video-generation-mattismyname3011

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Video content creation often requires specialized tooling and time. This Skill enables developers to generate AI-produced video content from text prompts or input images using the z-ai-web-dev-sdk, streamlining production workflows.

Core Features & Use Cases

  • Text-to-video and image-to-video generation: Produce videos from descriptive prompts or starting frames.
  • Asynchronous task management: Create tasks, poll for status, and retrieve final video URLs.
  • Production-ready customization: Configure size, fps, duration, quality, and optional audio to fit final deliverables.
  • Use Case: Build automated content generation pipelines for marketing, education, or entertainment.

Quick Start

Install and import the z-ai-web-dev-sdk in your backend service, create a video generation task with a prompt or image_url, then poll for results to obtain the final 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 in a backend environment?

You can generate AI videos from text prompts by interfacing with a backend SDK to submit your text, creating an asynchronous task that you poll for status updates to retrieve the final video URL.

Can I customize fps, duration, and quality for AI video generation?

Yes, AI video generation supports production-ready customization, allowing you to configure video size, fps, duration, quality, and optional audio to ensure outputs fit your final deliverable requirements.

Do I need asynchronous polling to manage long-running video generation tasks?

Yes, asynchronous polling is required to manage long-running video generation tasks. You must create a task, continuously poll for its status, and retrieve the final video URL once processing completes successfully.

Does the z-ai-web-dev-sdk support image-to-video generation?

Yes, the z-ai-web-dev-sdk supports image-to-video generation alongside text-to-video. You can use an input image URL as a starting frame to produce AI-generated video content asynchronously.

What are the limitations of using asynchronous polling for AI video generation?

Asynchronous polling for AI video generation requires robust server-side error handling to manage long-running tasks. You must implement polling logic carefully to handle potential timeouts and retrieve results without blocking operations.