Projects / Youtube-clipper-skill
YO

Youtube-clipper-skill

Audio & Video

YouTube Clipper Skill coordinates downloading, chapter analysis, clipping, subtitle translation/burning, and summaries through Claude Code.

Use with conditions
Last updated2026-01-22
Open source licenseMIT
PlatformsmacOS: documented examples · Ubuntu Linux: documented examples · Windows: unverified

About this project

YouTube Clipper Skill coordinates a video-clipping workflow through Claude Code. It downloads the selected video and subtitles, uses the agent to identify semantic chapters, lets the user choose segments, and processes clips with FFmpeg. Optional outputs include translated bilingual subtitles, burned-in captions and content summaries.

Installation uses npx skills add or the repository's installation script. The documented prerequisites are Python 3.8 or later, yt-dlp and FFmpeg with libass for subtitle burning, with macOS and Ubuntu examples. The manual script copies the skill, installs Python dependencies and checks system tools; complete Windows compatibility is not independently established.

The skill code is MIT-licensed, but that permission does not grant rights to download, reuse or distribute a video or its music. Agent token costs and any services are separate. Translation and chapter selection also need editorial review, and the README's efficiency comparisons are not a measured guarantee for this installation.

Project sources

  • 歸藏(guizang.ai)

    @op7418

    Author release

    The author introduces their own video-clipping skill and its workflow; other commenters' experiences are not attributed to the author.

    View original post

Source labels distinguish recommendations, neutral mentions and the author’s own releases. Commercial relationships are unknown unless an author relationship is shown. Worthary reviews project eligibility separately.

Decision guide
01

Why it is worth a look

  • Analyze video subtitles into chapters through an agent
  • Clip selected segments with FFmpeg
02

Before you use it

  • Use video and music for which you have applicable rights
  • Subtitle burning requires FFmpeg with libass
  • Windows compatibility is not independently verified
  • Agent service costs, translation accuracy and source-video access remain separate
Manual setupHigh
With an AI agentModerate
DeploymentNot verified
Additional requirements1 confirmed; others not verified

Use video and music for which you have applicable rights; Subtitle burning requires FFmpeg with libass; Windows compatibility is not independently verified; Agent service costs, translation accuracy and source-video access remain separate; Confirmed requirements: Command line; Some requirements have not been verified. Check the official setup instructions.

03

What it can do

  • Analyze video subtitles into chapters through an agent
  • Clip selected segments with FFmpeg
  • Translate and burn bilingual subtitles and prepare summaries

Who it fits

Good for

Creating reviewed excerpts from authorized video material; Preparing bilingual captioned clips

Not a fit

Assuming the MIT skill licenses a downloaded video; Unreviewed translations or guaranteed downloader availability

Getting started

  1. Install the skill through the official npx or manual path in Claude Code
  2. Check Python, yt-dlp and FFmpeg with libass, and choose a video you may lawfully use
  3. Review proposed chapters and translations, select segments, then inspect the rendered clips and subtitles