edit-video

Name: edit-video
Availability: InStock
Author: SILVABYTE

Transcribe video content and analyze transcripts to plan and render edits with FFmpeg.

Updated Mar 7, 2026

Search Tags:#transcription #content creation #ffmpeg #video editing #post-production #captioning

Ready to run

npx skills add https://github.com/silvabyte/skills --skill edit-video-silvabyte

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: edit-video
Source: https://github.com/silvabyte/skills/tree/main/skills/edit-video
Command: npx skills add https://github.com/silvabyte/skills --skill edit-video-silvabyte

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires zod, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the video editing process by enabling users to edit videos through conversational commands, transcript analysis, and automated rendering.

Core Features & Use Cases

Transcription: Automatically transcribes video content, providing both readable and analyzed transcripts.
Edit Planning: Facilitates planning edits by analyzing transcripts for silences, pacing, and key moments.
Rendering: Renders edited videos efficiently using FFmpeg, with options for captioning.
Use Case: Transform raw video footage into polished content by transcribing it, identifying the best segments from the transcript, and rendering a final cut with optional captions.

Quick Start

Use the edit-video skill to transcribe the video file 'my_interview.mp4'.

Frequently Asked Questions about edit-video

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

FAQPage Schema

How do I edit video content using a transcript?▼

You can edit video content by transcribing the file, analyzing the transcript for silences and key moments, and using conversational commands to trim, cut, and rearrange segments before rendering the final video.

What is the best way to trim and cut video segments based on spoken content?▼

The best way to trim and cut segments based on spoken content is using conversational post-production commands that analyze transcription to identify edit points, allowing you to rearrange footage and render the final cut automatically.

Does this conversational video editing approach support burned-in captions?▼

Yes, conversational video editing supports burned-in captions. After transcribing and trimming your footage, you can render the final video with optional captioning directly integrated into the output file.

Can I use FFmpeg for rendering final cuts through conversational commands?▼

Yes, you can use FFmpeg for rendering final cuts. The process integrates FFmpeg to execute the trimming and rearranging operations defined by your transcript analysis, outputting the completed video file.

Do I need an external transcription service to analyze edit points?▼

Yes, you need an external transcription service to analyze edit points. The workflow integrates with external providers to generate readable transcripts, which are then evaluated for pacing and silences to plan your cuts.

What are the limitations of editing videos conversationally?▼

Limitations of editing videos conversationally include reliance on external transcription accuracy for edit point detection and dependency on FFmpeg rendering capabilities, meaning complex visual effects or multi-track audio mixing may not be supported.