Summary

This workflow automates the ingestion of external data sources like YouTube into a structured Obsidian wiki. By leveraging Andrej Karpathy's LM Wiki concept, it converts raw data into curated research, enabling automated synthesis and querying via LLMs.

Key Topics

• LM Wiki: Based on Andrej Karpathy’s documentation, it separates information into raw files and curated wiki pages. This keeps your research tidy and actionable by ensuring only synthesized knowledge stays in the wiki.
• MCP (Model Context Protocol): It provides a standardized way for an AI agent to fetch data from YouTube, Slack, or Google, acting as the 'hands' that grab the information the agent needs to analyze.

Key Takeaways

• Download the provided Wiki skill from the school community description.
• Initialize your project structure and identify 3-5 key data sources.