Agent skill · Content & Marketing

youtube-transcript

YouTube transcript extraction and content reformatting: given a YouTube video URL, opens the video's transcript panel, extracts all timestamped segments, and transforms the raw transcript into summaries, chapter outlines, Twitter/X threads, blog posts, or notable quotes. Use when the user shares a YouTube URL or video link, asks to summarize a video, get a transcript, extract content from a YouTube video, get YouTube captions, extract YouTube captions, download YouTube captions, transcribe YouTube video, YouTube video to text, make a thread from YouTube, YouTube to blog post, YouTube to articl

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill youtube-transcript --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 8 KB
Bundled scripts: yes
Path: solutions/video-platforms/youtube-transcript/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# YouTube — Transcript Extraction & Content Reformatting > YouTube video URL → timestamped transcript → summary / chapters / thread / blog / quotes ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Extract the full transcript from a YouTube video's built-in transcript panel, then transform it into the output format the user requests. ## Prerequisites - Target YouTube video page is already open in the browser: `https://www.youtube.com/watch?v={VIDEO_ID}` ## Pre-execution Checks ### 1. Tool Readiness If browser-act has been confirmed available in the current session → skip this step. Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry. ## Capability Components > This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. JS code is encapsulated in Python files under the `scripts/` directory, invoked via `eval "$(python scripts/xxx.py)"`. Use the bash tool for execution. ### DOM: Check transc

What's inside
Steps it walks through
  1. Language
  2. Objective
  3. Prerequisites
  4. Pre-execution Checks
  5. 1. Tool Readiness
  6. Capability Components
  7. DOM: Check transcript availability and list languages
  8. DOM: Open transcript panel
  9. DOM: Extract all transcript segments
  10. Composite: Full transcript fetch workflow
  11. Transform: Content Reformatting
  12. Workflow
  13. Example — Chapters Output
  14. Example — Thread Output
Ships with 3 files
  • scripts/extract-transcript-segments.py
  • scripts/get-languages.py
  • scripts/open-transcript-panel.py
More from skills
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About this skill
What does the youtube-transcript skill do?

YouTube transcript extraction and content reformatting: given a YouTube video URL, opens the video's transcript panel, extracts all timestamped segments, and transforms the raw transcript into summaries, chapter outlines, Twitter/X threads, blog posts, or notable quotes. Use when the user shares a YouTube URL or video link, asks to summarize a video, get a transcript, extract content from a YouTube video, get YouTube captions, extract YouTube captions, download YouTube captions, transcribe YouTube video, YouTube video to text, make a thread from YouTube, YouTube to blog post, YouTube to articl

How do I install it?

Run `npx skills add browser-act/skills --skill youtube-transcript --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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