HomeSkills › YouTube Transcript (yt-dlp captions)
Developer Tools

YouTube Transcript (yt-dlp captions)

3.5K downloads 0 stars Version 1.0.5 Rank #2468 of 10,000+

What this skill does

Extract YouTube video transcripts from existing captions (manual or auto-generated) using yt-dlp, with optional timestamps and local SQLite caching.

YouTube Transcript (yt-dlp captions) is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.

YouTube Transcript (yt-dlp captions) is ranked #2468 by downloads in the OpenClaw skill catalog (3.5K total downloads, 0 stars). It belongs to the Developer Tools category alongside 3305 other top-10000 skills.

How to install YouTube Transcript (yt-dlp captions)

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

  1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
  2. Open the in-app Skills panel.
  3. Search for youtube-transcript-yt-dlp and click Install.
  4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add YouTube Transcript (yt-dlp captions) with a single command:

openclaw skills add youtube-transcript-yt-dlp

This pulls youtube-transcript-yt-dlp from ClawHub and installs it into ~/.openclaw/skills/youtube-transcript-yt-dlp/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use YouTube Transcript (yt-dlp captions)

Once installed, YouTube Transcript (yt-dlp captions) activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Turning video into a finished short

YouTube Transcript (yt-dlp captions) works with video. Getting from there to something postable is a separate job: ViralMint — an open-source video pipeline — reframes to vertical, cleans the audio, cuts dead air, burns animated captions, and exports a version sized for TikTok, Reels, and Shorts.

It runs as an MCP server, so an OpenClaw agent can drive it from the same chat you already use: ask for a short, and the render comes back finished. See how to connect a video pipeline to your agent.

Manual install (advanced)

If you prefer manual installation:

  1. Click the Download .zip button above to grab youtube-transcript-yt-dlp-1.0.5.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/youtube-transcript-yt-dlp/ (create the directory if it does not exist).
  3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install YouTube Transcript (yt-dlp captions)?

Install YouTube Transcript (yt-dlp captions) in the OpenClaw Easy desktop app by opening the Skills panel, searching for youtube-transcript-yt-dlp, and clicking Install. From a terminal you can run: openclaw skills add youtube-transcript-yt-dlp. Either way the skill is placed in ~/.openclaw/skills/youtube-transcript-yt-dlp/.

Is YouTube Transcript (yt-dlp captions) free?

Yes. YouTube Transcript (yt-dlp captions) is free and open-source, distributed under the Apache-2.0 license through ClawHub. No account or payment is required to download or run it.

What does YouTube Transcript (yt-dlp captions) do?

Extract YouTube video transcripts from existing captions (manual or auto-generated) using yt-dlp, with optional timestamps and local SQLite caching.

Related: more developer tools skills

If YouTube Transcript (yt-dlp captions) looks useful, you may also want to check out other developer tools skills in the OpenClaw catalog:

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Install YouTube Transcript (yt-dlp captions) and 10,000+ other OpenClaw skills in one click. Free, open-source, runs locally on macOS & Windows.

Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models