Youtube Transcript logo

Youtube Transcript

Community
matyasstoch
youtube-transcript

Use whenever the user needs the transcript of a YouTube video — fetching, extracting, downloading, or pulling captions/subtitles/transcript text from a YouTube URL. Triggers on "get the transcript", "transcript of this video", "pull the captions", "download subtitles", "what does this YouTube video say".

Overview

Publishermatyasstoch
Repositorydavid-skills
Skill nameyoutube-transcript
Stars
61
Forks
11
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Youtube Transcript 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/matyasstoch/david-skills/tree/main/skills/youtube-transcript
  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/matyasstoch/david-skills.git /tmp/david-skills
mkdir -p .claude/skills
cp -r /tmp/david-skills/skills/youtube-transcript .claude/skills/youtube-transcript
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Youtube Transcript 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 Transcript 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 Transcript 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 (via yt-dlp)

Fetch a YouTube video's captions (no video download) and save a clean raw .txt transcript.

Save location

  • If the user is in a real project/working dir → save there.
  • Otherwise (no dir given, or cwd makes no sense) → save to ~/Downloads.

Fastest path

bash
OUT="$(pwd)"            # or ~/Downloads if cwd makes no sense
META=$(yt-dlp --print "%(channel)s|%(title)s" --skip-download "URL")
NAME=$(echo "$META" | tr '| ' '__' | tr -cd '[:alnum:]_.-')   # "Channel_Title", spaces -> _, strip unsafe chars
yt-dlp --skip-download --write-subs --write-auto-subs \
  --sub-langs "en.*" --sub-format json3 \
  -o "$OUT/$NAME.%(ext)s" "URL"

Always name the file Channel_Title with spaces replaced by _ (e.g. David_Ondrej_title_of_video.txt). Fall back channel → uploader → uploader_id if channel is null.

  • --skip-download = captions only. --write-subs + --write-auto-subs = manual first, auto as fallback (yt-dlp prefers manual automatically).
  • Always use json3, never VTT/SRT — auto VTT repeats every line twice (rolling captions). json3 is clean structured JSON.

Flatten json3 → raw text

bash
python3 - "$OUT" <<'PY'
import json, html, re, glob, sys, pathlib
f = glob.glob(sys.argv[1] + "/*.json3")
if not f: sys.exit("no json3 file")
data = json.load(open(f[0], encoding="utf-8"))
parts = ["".join(s.get("utf8","") for s in e.get("segs") or []) for e in data.get("events", [])]
txt = re.sub(r"\s+", " ", html.unescape(" ".join(p.strip() for p in parts if p.strip()))).strip()
out = pathlib.Path(f[0]).with_suffix(".txt")
out.write_text(txt, encoding="utf-8"); print(out)
PY

Output: <video_id>.txt in the chosen dir. Report the path; print the text if short.

Notes

  • Non-English / unknown language: run yt-dlp --list-subs "URL" first, then set --sub-langs.
  • Newer yt-dlp may need deno on PATH for YouTube extraction.

Failure handling

  • On first failure: run yt-dlp -U once, retry once, then stop.
  • 429 / "Sign in to confirm you're not a bot" = IP flagged. STOP — do NOT retry in a loop (makes it worse).
  • Empty / "no subtitles" = video has no captions. Report it; don't retry, don't switch tools.
  • Never fall back to downloading audio for Whisper unless the user explicitly asks.

Frequently asked questions

What does the Youtube Transcript AI skill do?

Use whenever the user needs the transcript of a YouTube video — fetching, extracting, downloading, or pulling captions/subtitles/transcript text from a YouTube URL. Triggers on "get the transcript", "transcript of this video", "pull the captions", "download subtitles", "what does this YouTube video say".

Why use Youtube Transcript on TypingMind?

Because you install it once and use it with any model. Youtube Transcript 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 Transcript in TypingMind?

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

Which AI models can use Youtube Transcript?

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 Transcript?

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

Is the Youtube Transcript AI skill free?

It is published on GitHub by matyasstoch. Check the repository for licensing terms. 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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