What problem does it solve? Researching X/Twitter posts and YouTube videos usually means scattered notes, lost links, and no way to recall past findings. This Skill runs the local tenbrains CLI to analyze posts and transcripts, summarize followed accounts, manage bookmarks and suggestions, and build 7-day learning tracks — with every outcome persisted to a local SQLite database and returned as parseable JSON. ## Core Features & Use Cases - Post and video analysis: Analyze a tweet by URL (free via oEmbed, no API key) or a YouTube video's captions into topic, summary, intent, and novel concepts, with optional --learn to generate a 7-day Feynman learning track with lessons and quizzes. - Account research and recall: Summarize a followed account's recent posts into takeaways, rank suggestions from saved signals, and search past analyses with full-text search scoped by learning objective. - Learning objectives and daily loop: Create first-class learn/follow objectives, tag records to them, and coach through daily lessons and graded quiz answers via learn today, learn quiz, and learn answer. - Use Case: A user pastes a tweet URL and asks to analyze it and turn it into a study plan; the Skill runs tenbrains analyze --url ... --learn, then uses learn today each day to walk them through the materialized lessons and quizzes. ## Quick Start Ask the assistant to analyze a tweet or YouTube video by URL with tenbrains, for example: "Analyze this tweet https://x.com/jack/status/20 and generate a learning track from it."
