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lalachan-xyq-browser-video

Automate Xiaoyunque video generation and publishing via Chrome DevTools Protocol.

1|Updated Jun 3, 2026
Search Tags:#browser automation#content creation#video generation#video publishing#Xiaoyunque
One-click install
npx skills add https://github.com/lachlanchen/LazySkills --skill lalachan-xyq-browser-video
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lalachan-xyq-browser-video
Source: https://github.com/lachlanchen/LazySkills/tree/main/skills/lalachan-xyq-browser-video
Command: npx skills add https://github.com/lachlanchen/LazySkills --skill lalachan-xyq-browser-video

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires websocket, argparse, base64, json, urllib, time, pathlib, websocket, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of generating, preparing, monitoring, downloading, and publishing LALACHAN Xiaoyunque videos through a logged-in Chrome/CDP web UI, streamlining the workflow and reducing manual effort.

Core Features & Use Cases

  • Browser UI Automation: Interacts with Xiaoyunque's web interface using Chrome DevTools Protocol (CDP) for a seamless experience.
  • Video Generation: Generates Xiaoyunque videos based on user input, including mode, model, duration, ratio, prompt, and attachments.
  • Download and Publishing: Automatically downloads generated videos and prepares them for publishing through platforms like LazyEdit or Nutstore AutoPublish.
  • Use Case: A content creator uses this Skill to quickly generate and publish LALACHAN Xiaoyunque videos with custom references and settings, without the need for manual uploads or configuration.

Quick Start

Use the lalachan-xyq-browser-video skill to generate a 30-second video in immersive short film mode with a Seedance 2.0 Mini model. Upload the reference images 'words-card.jpg', 'LazyingArtRobot.png', 'display.png', and 'patchwork-leather-notebook-luxury-clean-v2.png', and enter the prompt "Use the words card as a reference for the scene's learning prop, and the robot as the main character."

Frequently Asked Questions about lalachan-xyq-browser-video

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

FAQPage Schema
How do I automate Xiaoyunque video generation through a browser interface?▼

You can automate Xiaoyunque video generation by using Chrome DevTools Protocol to interact with the web UI, handling inputs like mode, model, duration, ratio, and prompts. This streamlines the workflow and reduces manual configuration effort.

What is needed to upload reference images for Xiaoyunque video creation?▼

Uploading reference images for Xiaoyunque video creation requires a logged-in Chrome browser interface using CDP. The automation handles image attachments and applies them as visual references for the generated video content.

Can I use this browser automation to download and publish generated videos automatically?▼

Yes, this browser automation automatically downloads generated Xiaoyunque videos and prepares them for publishing through integrated platforms. It monitors the generation process and handles the file retrieval seamlessly.

Does Xiaoyunque video automation work with specific models like Seedance 2.0 Mini?▼

Yes, Xiaoyunque video automation supports specific models like Seedance 2.0 Mini. You can configure the model, duration, and video mode such as immersive short film through the automated browser interface.

Do I need a Xiaoyunque account to generate videos through web UI automation?▼

Yes, you need Xiaoyunque account access through a logged-in Chrome session to generate videos via web UI automation. The process relies on an active browser session to interact with the platform's interface.

What are the limitations of using Chrome DevTools Protocol for Xiaoyunque video publishing?▼

Using Chrome DevTools Protocol for Xiaoyunque video publishing requires maintaining an active logged-in browser session. It is limited by the browser's rendering capabilities and depends on continuous CDP websocket connections for UI interaction.

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