kvidai-video-project

Manage kvidai video projects, generate videos from prompts, and track generation status.

Updated May 25, 2026
One-click install
npx skills add https://github.com/kvidai/kvidai-skills --skill kvidai-video-project
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kvidai-video-project
Source: https://github.com/kvidai/kvidai-skills/tree/main/skills/kvidai-video-project
Command: npx skills add https://github.com/kvidai/kvidai-skills --skill kvidai-video-project

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill eliminates the need for manual interaction with the kvidai video platform to manage projects, generate AI-edited videos from natural language, and track generation status, removing the overhead of custom API integration or repetitive dashboard tasks.

Core Features & Use Cases

  • Video Project Management: Create and retrieve kvidai video projects programmatically, with optional preset configuration for consistent project setup.
  • AI Video Generation: Generate fully edited videos from natural language prompts via an SSE-streaming AI agent, with support for attaching local reference files or pre-uploaded CDN media assets to guide generation.
  • Generation Status Tracking: Poll async video generation jobs to monitor progress and detect completion or failure without manual dashboard checks.
  • Media Asset Handling: Upload local files to the kvidai CDN, add them to project timelines for the AI agent to reference during generation, and attach files to project media libraries for archival.
  • Use Case: A content creator can use this Skill to automatically generate a 30-second vertical YouTube Short from a text brief and pre-edited b-roll footage, then receive a direct link to the finished video in the kvidai editor once generation is complete.

Quick Start

Use the kvidai-video-project skill to create a new video project named 'My Shorts Video', upload your reference image and b-roll footage, generate a 30-second vertical video from a text brief describing the desired edits, and poll the generation status until the video is ready to view in the kvidai editor.

Frequently Asked Questions about kvidai-video-project

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

FAQPage Schema
How do I generate AI videos from text prompts programmatically?

AI video generation from text prompts is handled by creating a kvidai video project, attaching reference media, and triggering an SSE-streaming AI agent to produce the edited video.

How does async polling work for video generation jobs?

Async polling for video generation jobs works by repeatedly checking the generation status of an async job until completion or failure is detected, eliminating manual dashboard status checks.

Can I upload local media files to attach to a video project timeline?

Local media file upload is supported via multipart file upload to the kvidai CDN, allowing you to attach files to project timelines and media libraries for AI agent reference.

What's the best way to automate content creation workflows for video projects?

Automating content creation workflows is best achieved by programmatically managing kvidai video projects, generating videos via SSE-streaming AI agents, and tracking generation status without manual platform interaction.

Does this approach support adding pre-uploaded CDN assets to video generation projects?

Pre-uploaded CDN media assets are supported and can be attached alongside local reference files to guide the AI agent during natural language video generation.

Why use SSE streaming for AI video generation instead of standard API calls?

SSE streaming for AI video generation enables real-time progress updates from the AI agent during the editing process, which standard synchronous API calls cannot provide for long-running generation tasks.