Video Generation

Name: Video Generation
Availability: InStock
Author: zakarooo

Create video generation tasks from text or images and poll for results.

Updated Jan 22, 2026

Search Tags:#backend #SDK #AI #asynchronous #polling #video-generation

Ready to run

npx skills add https://github.com/zakarooo/dataup --skill video-generation-zakarooo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Video Generation
Source: https://github.com/zakarooo/dataup/tree/main/video-generation
Command: npx skills add https://github.com/zakarooo/dataup --skill video-generation-zakarooo

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables automated AI-powered video generation from text prompts or images, streamlining content creation and enabling rapid prototyping of media assets.

Core Features & Use Cases

Asynchronous video generation: Create tasks from prompts or image inputs and poll for results.
- Flexible inputs: Supports text-to-video and image-to-video workflows, including keyframes and audio options.
Use Case: Build a media pipeline that converts product descriptions into promo videos or generate educational clips from diagrams.

Quick Start

Use the video-generation skill with the z-ai-web-dev-sdk to create a 1920x1080 video from a prompt and poll for completion.

Frequently Asked Questions about Video Generation

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

FAQPage Schema

How do I automate video creation from text prompts or images?▼

Automate video creation by using the z-ai-web-dev-sdk to submit text prompts or images as asynchronous tasks, then poll for completion status and extract the generated video URL from the response. This enables rapid generation of marketing assets, product demos, and educational content without manual video production.

Can I use asynchronous polling to generate videos at scale?▼

Yes. The SDK supports asynchronous task creation and polling, letting you submit multiple video generation requests without blocking, then retrieve results as they complete. This pattern scales for media pipelines processing batches of prompts or images into video outputs.

What inputs does AI video generation support?▼

Text-to-video and image-to-video workflows are supported, with optional keyframes and audio inputs. Flexible input handling lets you build diverse content pipelines—from product descriptions to promotional videos or educational clips derived from diagrams.

What backend setup is required to generate videos with the SDK?▼

Backend usage with the z-ai-web-dev-sdk is required. You must create tasks, implement polling loops to check status, and parse video URLs from response fields. The asynchronous architecture requires handling task IDs and monitoring completion before retrieving final video assets.

When should I use AI video generation instead of manual video production?▼

Use AI video generation for rapid prototyping, bulk content creation, and dynamic asset pipelines where speed and automation outweigh custom creative control. Ideal for marketing automation, educational content scaling, and media workflows requiring frequent updates from evolving source material.

What happens if video generation polling takes longer than expected?▼

Asynchronous polling accommodates variable generation times by separating task submission from result retrieval. Implement timeout logic and retry strategies appropriate to your application's SLA, and design your polling interval based on typical completion times for your video dimensions and complexity.