video-cut

Edit raw video footage into finished cuts using local transcription and EDL-based rendering.

3|2|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/broomva/skills --skill video-cut
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-cut
Source: https://github.com/broomva/skills/tree/main/skills/video/video-cut
Command: npx skills add https://github.com/broomva/skills --skill video-cut

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires faster-whisper, and includes scripts (resource) and references (resource) components.

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.

Frequently Asked Questions about video-cut

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

FAQPage Schema
How do I edit raw video footage locally without frame-by-frame scrubbing?

You can edit raw video footage locally by using word-level transcription and declarative EDL-based rendering to cut without scrubbing. This approach relies on faster-whisper for precise word-boundary cuts and ffmpeg for rendering.

Does local video editing with faster-whisper support automated filler removal?

Yes, local video editing with faster-whisper supports automated filler removal. It uses a local transcript layer to identify spoken filler words and applies declarative EDL-based rendering to remove them automatically.

What's the best way to burn subtitles into video locally using ffmpeg?

The best way to burn subtitles locally using ffmpeg is through declarative EDL-based rendering. This process uses local word-level transcription to generate precise subtitles and burns them directly into the final video output.

Can I perform talking-head video editing without cloud-based transcription services?

Yes, you can perform talking-head video editing entirely without cloud-based transcription. By using faster-whisper for local word-level transcription, all data and processing remain strictly on your machine.

How does word-level transcription improve high-precision video cuts?

Word-level transcription improves high-precision video cuts by providing exact word boundaries. This allows the editor to make declarative EDL-based cuts at precise timestamps, ensuring seamless filler removal and montage creation.