Twitter Trend Discovery for Content

★ 7.1 · content

Browse has Claude Code scan a Twitter timeline to surface trending topics and content ideas for post creation. It drives browser automation via `mcp__claude-in-chrome__*` tools — navigating to feeds, reading page content, scrolling, and taking screenshots — then extracts engagement signals such as likes, views, and retweets. Each discovered topic comes back as a structured entry with a title, summary, engagement metrics, and a suggested angle tailored to the author's voice. Coverage focuses on five areas: AI/ML infrastructure, crypto/Web3, robotics and automation, VC investment patterns, and tech futurism. Output is saved to a dated Markdown file and feeds directly into the `/cyber-tweet` and `/cyber-essay` skills for seamless content production.