Youtube Transcribe Skill logo

Youtube Transcribe Skill

Community
feiskyer
youtube-transcribe-skill

Extract subtitles or a transcript from a YouTube URL and save normalized timestamped text locally. Use when the user wants the spoken content of a YouTube video as text.

Overview

Publisherfeiskyer
Repositorycodex-settings
Skill nameyoutube-transcribe-skill
Stars
247
Forks
35
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by feiskyer on GitHub. Read the source before you install it.

Installation

Install the Youtube Transcribe Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/feiskyer/codex-settings/tree/main/skills/youtube-transcribe-skill
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/feiskyer/codex-settings.git /tmp/codex-settings
mkdir -p .claude/skills
cp -r /tmp/codex-settings/skills/youtube-transcribe-skill .claude/skills/youtube-transcribe-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Youtube Transcribe Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Youtube Transcribe Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Youtube Transcribe Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

YouTube Transcript Extraction

Use the bundled scripts/transcribe_youtube.py wrapper for the primary workflow. It downloads subtitles with yt-dlp, selects the preferred language, converts WebVTT cues into timestamped plain text, and reports the output path and line count.

Requirements

  1. Install yt-dlp and confirm yt-dlp --version succeeds.
  2. Resolve the absolute directory containing this SKILL.md; refer to it as <skill-dir>.
  3. Keep the output in the user's current working directory unless they request another location.

The Python wrapper itself uses only the standard library. It can display --help without yt-dlp being installed.

Primary workflow

Run without browser cookies first:

bash
python3 "<skill-dir>/scripts/transcribe_youtube.py" \
  "<youtube-url>" \
  --output-dir "$PWD"

The default language preference is Simplified Chinese, Traditional Chinese, other Chinese variants, then English. Override it when the user requests another language:

bash
python3 "<skill-dir>/scripts/transcribe_youtube.py" \
  "<youtube-url>" \
  --languages "ja.*,en.*" \
  --output-dir "$PWD"

The wrapper supports normal watch URLs plus youtu.be, Shorts, live, and embed URLs. A successful run writes one .txt file whose non-empty lines use this shape:

text
00:03 Subtitle text
00:08 Next subtitle text

Cookie retry

Do not read browser cookies by default. If the initial command fails specifically because the video requires sign-in, age verification, membership, or another authenticated session:

  1. Explain that the retry will let yt-dlp read YouTube cookies from a local browser profile.
  2. Ask the user which browser profile they approve using.
  3. Retry only after approval:
bash
python3 "<skill-dir>/scripts/transcribe_youtube.py" \
  "<youtube-url>" \
  --cookies-from-browser chrome \
  --output-dir "$PWD"

Never print, copy, or persist browser cookies in the transcript or logs.

Browser fallback

Use browser automation only when yt-dlp is unavailable or cannot obtain subtitles and an appropriate browser-control capability is available.

  1. Inspect the tools available in the current session; do not assume fixed MCP server or tool names.
  2. Open the video, reveal the transcript panel, and extract visible timestamp/text pairs.
  3. Save the result as <sanitized-video-title>.txt in the requested directory.
  4. Close pages or sessions opened solely for this task.

If neither CLI extraction nor browser automation is available, report the missing capability instead of claiming success.

Completion report

Return:

  1. Absolute transcript path
  2. Selected subtitle language
  3. Number of transcript lines
  4. Whether browser cookies or browser automation were used

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Youtube Transcribe Skill AI skill do?

Extract subtitles or a transcript from a YouTube URL and save normalized timestamped text locally. Use when the user wants the spoken content of a YouTube video as text.

Why use Youtube Transcribe Skill on TypingMind?

Because you install it once and use it with any model. Youtube Transcribe Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Youtube Transcribe Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/feiskyer/codex-settings/tree/main/skills/youtube-transcribe-skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Youtube Transcribe Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Youtube Transcribe Skill?

As many as you like. As long as a model supports skills, you can use Youtube Transcribe Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Youtube Transcribe Skill AI skill free?

Yes. It is published on GitHub by feiskyer under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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