What problem does it solve?
Manually moving videos between platforms, transcribing them, generating chapters and thumbnails, and optimizing titles for YouTube is a fragmented, time-consuming process that requires switching between multiple tools and remembering platform-specific best practices.
Core Features & Use Cases
- End-to-end pipeline orchestration: Chains atomic skills for downloading from X/Twitter, Zoom, or generic URLs, uploading to YouTube, transcribing with timestamps, generating chapters, creating AI thumbnails, and A/B testing titles.
- Platform-optimized defaults: Encodes learned best practices for each stage, including correct yt-dlp flags, YouTube API privacy settings, transcription tool selection for Apple Silicon, and thumbnail compression rules.
- Use case example: If you have a Twitter video you want to repurpose for YouTube with a polished transcript, custom thumbnail, and optimized title, this skill handles the entire workflow with built-in checkpoints for confirmation at each stage.
Quick Start
Use the media-transform skill to take a video from X/Twitter, upload it to YouTube, generate a timestamped transcript, create an AI-powered thumbnail, and provide 3 title options for A/B testing.