youtube-compilation

Generate YouTube compilation videos from VOD moments with a 12-step pipeline.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/stevef210/Rust-Media-Pipeline --skill youtube-compilation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: youtube-compilation
Source: https://github.com/stevef210/Rust-Media-Pipeline/tree/main/.claude/skills/youtube-compilation
Command: npx skills add https://github.com/stevef210/Rust-Media-Pipeline --skill youtube-compilation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the creation of engaging YouTube compilation videos from long-form VOD content, streamlining the editing process and saving significant time.

Core Features & Use Cases

  • Automated Sequencing: Intelligently orders clips based on hook, energy, and retention factors.
  • Professional Editing: Applies transitions, normalization (LUFS), intros, outros, and captions.
  • Metadata Generation: Creates optimized titles, descriptions, tags, and chapters for YouTube.
  • Use Case: Transform hours of Twitch VODs into a polished 5-10 minute highlight reel ready for upload, complete with custom intros and engaging chapter markers.

Quick Start

Use the youtube-compilation skill to create a compilation video from the provided moments and save it to the output path.

Frequently Asked Questions about youtube-compilation

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

FAQPage Schema
How do I automate making a YouTube compilation video from Twitch VOD content?

You can automate YouTube compilation creation by running a 12-step pipeline that detects moments in VOD content, sequences clips by hook and energy, applies transitions, normalizes audio to LUFS standards, and renders captions.

What's the best way to generate chapter markers and YouTube metadata for a highlight reel?

Generating YouTube metadata and chapter markers is handled automatically during compilation processing, producing optimized titles, descriptions, tags, and chapter timestamps ready for upload alongside the final video.

Can I use automated clip sequencing to reorder highlights based on audience retention?

Automated clip sequencing supports retention-aware re-sequencing, intelligently ordering detected VOD moments by hook, energy, and retention factors to maximize viewer engagement.

How does TF-IDF setpiece grouping work for video editing compilations?

TF-IDF setpiece grouping identifies and clusters similar highlight moments within VOD content, allowing the compilation pipeline to group related clips together during the constrained selection and sequencing process.

Do I need separate video editing software to add intros, outros, and LUFS normalization to my compilation?

No separate editing software is needed; the compilation pipeline directly applies intro and outro templates, executes LUFS audio normalization, and renders captions before outputting the final highlight reel.

What are the limitations when transforming hours of long-form VOD content into a 5-10 minute highlight reel?

Compilation generation relies on accurately detected moments within the VOD content; poorly detected highlights or insufficient setpiece grouping data can constrain the final 5-10 minute video output quality.