Scarnon (github.com)

Scarnon is a newly announced skill for Claude Code that leverages AI to streamline the process of researching topics on YouTube. By simply inputting a subject, users can retrieve relevant videos, filter out irrelevant content, and receive summarized insights along with timestamped quotes—all executed rapidly through four parallel searches. Scarnon not only extracts auto-generated subtitles for about 80% of videos but also synthesizes information across multiple clips using various analytical lenses, making it a powerful tool for quick and efficient knowledge acquisition directly from the command line. This development is significant for the AI/ML community as it showcases the potential of AI-driven tools to enhance research workflows by automating data retrieval, filtering, and synthesis. The use of Haiku subagents for transcript processing allows for effective context management, demonstrating how even basic UI primitives can lead to sophisticated user experiences. Scarnon serves as a proof of concept for more ambitious skills in the future, highlighting the importance of user-friendly interfaces and efficient task management in AI application development. As more tools are introduced, the possibilities for what can be achieved with AI in research and beyond are expanding rapidly.