Welcome to the LCS Video Pipeline Wiki — the central knowledge base for the entire project.
This wiki covers setup, workflows, troubleshooting, and developer documentation for the Llama Chile Shop video automation pipeline.

📚 Table of Contents

🗂 Site Index

Page	Description
Home	Overview & quick links
Getting Started	Install & configure your environment
System Requirements	Hardware & software prerequisites
Project Structure	Folder layout & file descriptions
Automation Workflow	End-to-end processing flow
Rendering Engine	Video editing & rendering details
Social Posting	YouTube, PeerTube, Mastodon, Bluesky
Troubleshooting	Common problems & fixes
Changelog	Version history

💡 About This Project

The LCS Video Pipeline automates the entire process of turning livestream footage into polished highlight videos — complete with intros, outros, titles, and metadata — then uploads them to social platforms with dynamic descriptions and hashtags.

This wiki is the source of truth for all documentation.
If something is unclear, out of date, or missing — update it here first.

📝 Tip: Each wiki page automatically displays a Table of Contents on the right-hand side. Use it to jump quickly between sections.

Description

Video Pipeline Automation The Video Pipeline project automates the process of extracting, processing, and uploading highlights from livestreams, primarily for Fortnite gameplay. This system integrates Eklipse.gg for AI-based highlight detection, DaVinci Resolve for video editing, and custom Python scripts for rendering and metadata management. The pipeline supports seamless uploads to YouTube and PeerTube, automatic social media announcements, and maintains a detailed history of video metadata for each session. Key Features: Automated highlight extraction from livestreams Dynamic title card generation with Fortnite-themed branding Streamlined YouTube and PeerTube uploads with dynamic descriptions Metadata tracking and session management Social media integration for automatic posts to Mastodon and Bluesky This project is designed to optimize video content creation and management for livestreamers, ensuring efficiency and consistency in processing and sharing content.

Readme GPL-3.0 108 KiB