video-gen

Generate AI videos via Seedance 2.0, Kling, and MiniMax Hailuo models.

907|122|Updated Jul 15, 2026
One-click install
npx skills add https://github.com/0xsline/OpenChatCut --skill video-gen-0xsline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-gen
Source: https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/video-gen
Command: npx skills add https://github.com/0xsline/OpenChatCut --skill video-gen-0xsline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the complexity of managing AI video generation across multiple providers, ensuring consistent visual identity and high-quality output without manual API orchestration.

Core Features & Use Cases

  • Multi-Model Support: Seamlessly switch between Seedance 2.0, Kling, and MiniMax Hailuo based on your specific needs for duration, style, or multi-shot complexity.
  • Visual Consistency: Use anchor images and reference videos to maintain character and style continuity across multiple generated shots.
  • Use Case: Create a multi-shot narrative sequence by generating individual clips with consistent character anchors, ensuring the protagonist's appearance remains stable from the opening wide shot to the final close-up.

Quick Start

Use the video-gen skill to generate a 6-second video of a cat walking on a sunny windowsill using the hailuo model.

Frequently Asked Questions about video-gen

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

FAQPage Schema
How do I generate AI video content from text or images across different models?

AI video generation is managed through integrated support for Seedance 2.0, Kling, and MiniMax Hailuo models. This facilitates text-to-video and image-to-video creation by handling complex generation parameters like duration and resolution automatically.

How do I maintain character consistency across multiple AI generated video clips?

Character consistency in AI video generation is maintained using advanced visual consistency anchors. By providing anchor images and reference videos, you ensure character and style continuity across multiple generated shots.

What is the best way to create a multi-shot storyboard using AI video generation?

Multi-shot storyboard creation is achieved by generating individual clips with consistent character anchors. This approach ensures visual identity and style continuity remain stable from the opening wide shot to the final close-up.

Can I switch between Seedance, Kling, and MiniMax Hailuo models for different video durations?

Yes, you can seamlessly switch between Seedance 2.0, Kling, and MiniMax Hailuo models. This allows you to select the specific model that best fits your needs for video duration, style, or multi-shot complexity.

Does AI video generation work for professional editing workflows?

AI video generation produces high-fidelity video assets designed for professional editing workflows. It manages reference-guided motion and resolution parameters to ensure the generated output meets professional editing standards.

Why use reference-guided motion when generating multimedia video content?

Reference-guided motion is used in AI video generation to control the movement within the output. By supplying reference videos, you direct the animation dynamics and ensure the generated multimedia content matches your intended visual direction.