
youtube-transcribe-skill
Extract subtitles/transcripts from YouTube videos. Triggers: "youtube transcript", "extract subtitles", "video captions", "视频字幕", "字幕提取", "YouTube转文字", "提取字幕".
- Installs
- 354
- Last 24h
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/feiskyer/claude-code-settings --skill youtube-transcribe-skill- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads youtube-transcribe-skill automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
YouTube Transcript Extraction
Extract subtitles/transcripts from a YouTube video URL and save them as a local file.
Input YouTube URL: $ARGUMENTS
Step 1: Verify URL
Confirm the input is a valid YouTube URL (supports youtube.com/watch?v=, youtu.be/, and youtube.com/shorts/ formats). If no URL is provided via arguments, check the conversation context for a YouTube link.
Step 2: CLI Quick Extraction (Priority Attempt)
Use command-line tools to quickly extract subtitles.
2.1 Check Tool Availability
Execute which yt-dlp.
- If
yt-dlpis found, proceed to 2.2. - If
yt-dlpis not found, skip to Step 3.
2.2 Get Video Title
yt-dlp --cookies-from-browser=chrome --get-title "[VIDEO_URL]"
- Tip: Always add
--cookies-from-browserto avoid sign-in restrictions. Default tochrome. - If it fails with a browser error (e.g., "Could not open Chrome"), ask the user to specify their available browser (e.g.,
firefox,safari,edge) and retry.
2.3 Download Subtitles
yt-dlp --cookies-from-browser=chrome --write-auto-sub --write-sub --sub-lang zh-Hans,zh-Hant,en --skip-download --output "<Video Title>.%(ext)s" "[VIDEO_URL]"
2.4 Convert to Plain Text
yt-dlp saves subtitles as .vtt or .srt files. Convert the downloaded file to plain Timestamp Text format:
- Read the downloaded subtitle file (
.vttor.srt). - Strip VTT/SRT headers, styling tags, and duplicate lines.
- Save as
<Video Title>.txtwith oneTimestamp Textentry per line.
2.5 Verify Results
- Exit code 0: Convert and save the subtitle file, then report completion.
- Exit code non-0:
- If error is related to browser/cookies, ask user for correct browser and retry.
- If other errors (e.g., video unavailable), proceed to Step 3.
Step 3: Browser Automation (Fallback)
When the CLI method fails or yt-dlp is missing, use Chrome DevTools MCP to extract subtitles via browser UI automation.
3.1 Check Tool Availability
Check if Chrome DevTools MCP tools are available (look for tools matching chrome__new_page or similar).
If Chrome DevTools MCP is not available and yt-dlp was not found in Step 2, stop and notify the user: "Unable to proceed. Please either install yt-dlp (for fast CLI extraction) or configure Chrome DevTools MCP (for browser automation)."
3.2 Open Video Page
Use Chrome DevTools MCP new_page to open the video URL.
3.3 Analyze Page State
Use Chrome DevTools MCP take_snapshot to read the page accessibility tree.
3.4 Expand Video Description
The "Show transcript" button is usually hidden within the collapsed description area.
- Search the snapshot for a button labeled "...more", "...更多", or "Show more" (in the description block below the video title).
- Use Chrome DevTools MCP
clickto click that button.
3.5 Open Transcript Panel
- Use Chrome DevTools MCP
take_snapshotto get the updated UI. - Search for a button labeled "Show transcript", "显示转录稿", or "内容转文字".
- Use Chrome DevTools MCP
clickto click that button. - If the button is not found, the video may not have a transcript available — notify the user and stop.
3.6 Extract Content via DOM
Directly reading the accessibility tree for long transcript lists is slow and token-heavy. Use Chrome DevTools MCP evaluate_script to run this JavaScript instead:
() => {
const segments = document.querySelectorAll("ytd-transcript-segment-renderer");
if (!segments.length) return "BUFFERING";
return Array.from(segments)
.map((seg) => {
const time = seg.querySelector(".segment-timestamp")?.innerText.trim();
const text = seg.querySelector(".segment-text")?.innerText.trim();
return `${time} ${text}`;
})
.join("\n");
};
If it returns "BUFFERING", wait a few seconds and retry (up to 3 attempts).
3.7 Save and Cleanup
- Save the extracted text as
<Video Title>.txt. - Use Chrome DevTools MCP
close_pageto release resources.
Output Requirements
- Save the subtitle file to the current working directory.
- Filename format:
<Video Title>.txt - File content format: Each line should be
Timestamp Subtitle Text. - Report upon completion: file path, subtitle language, and total number of lines.
FAQ
What does the youtube-transcribe-skill skill do?
Extract subtitles/transcripts from YouTube videos. Triggers: "youtube transcript", "extract subtitles", "video captions", "视频字幕", "字幕提取", "YouTube转文字", "提取字幕".
How do I install youtube-transcribe-skill?
Run npx skills add https://github.com/feiskyer/claude-code-settings --skill youtube-transcribe-skill in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/youtube-transcribe-skill/ (personal) or .claude/skills/youtube-transcribe-skill/ (project).
Which AI agents can use youtube-transcribe-skill?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is youtube-transcribe-skill safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains youtube-transcribe-skill?
It is published by feiskyer in feiskyer/claude-code-settings. It has 354 recorded installs.
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