What problem does it solve?
This skill solves the inefficiency of manual video editing by allowing you to edit raw footage through natural language conversation, eliminating the need for frame-by-frame scrubbing or cloud-based transcription services.
Core Features & Use Cases
- Two-Layer Reading: Uses a local faster_whisper transcript layer for precision cutting and an on-demand visual layer for verification, ensuring high-speed editing without dumping video frames.
- Automated Production: Handles filler removal, color grading, subtitle burning, and overlay composition automatically.
- Use Case: Quickly turn raw talking-head recordings into a polished launch video or tutorial by simply describing the desired pacing and content, while keeping all data and processing strictly on your local machine.
Quick Start
Use the video-cut skill to edit the raw footage in the current folder into a final video by removing filler words and applying a cinematic grade.