A high-performance AI agent skill designed to summarize, translate, and extract deep insights from YouTube videos using a transcript-first approach.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install youtube-digest
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install youtube-digest using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
YouTube Digest is a sophisticated tool within the ecosystem of Openclaw Skills that enables AI agents to process video content with surgical precision. By prioritizing manual subtitles and structured metadata, the skill allows developers and researchers to bypass manual watching and jump straight to the core insights of any video.
Whether you need a Chinese translation of a technical talk or a bulleted timeline of a long-form interview, this skill provides the necessary automation. It minimizes bandwidth by fetching transcripts first and only downloading full video assets when advanced visual grounding or frame extraction is required via ffmpeg.
To integrate this component of Openclaw Skills, ensure you have the required runtimes installed, then use the provided fetch script.
# Ensure dependencies are available
# Requires yt-dlp, deno (for 2026+ yt-dlp), and ffmpeg
# Basic video extraction
python3 scripts/fetch_youtube.py "<youtube-url>" --out /tmp/youtube-digest
# Extraction with proxy and specific language preference
python3 scripts/fetch_youtube.py "<youtube-url>" --langs zh.*,en.* --proxy http://your-proxy:port --out /tmp/youtube-digest
The skill organizes its output into a dedicated directory for clean data management:
| File | Description |
|---|---|
summary.json |
Contains title, uploader, duration, and subtitle extraction status. |
transcript.txt |
The flattened, plain-text version of the video transcript. |
*.vtt / *.srt |
The raw subtitle files fetched directly from YouTube. |
frames/ |
(Optional) Directory containing extracted key frames for visual grounding. |
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