What problem does it solve? Manually checking Hacker News for trending stories is repetitive, and the site offers no structured front-page feed with ranks, points, and comment counts. This Skill automates that retrieval and returns clean, typed JSON you can pipe into other tools. ## Core Features & Use Cases - Front-page scraping: Navigates to news.ycombinator.com through a browser daemon and parses the stable tr.athing HTML structure into typed story records. - Structured JSON output: Emits rank, item id, title, URL, points, and comment count for each story, with null values for job postings that lack scores. - Fixture-tested parser: The pure parseStoriesFromHtml function is tested against a bundled HTML fixture, so selector breakage is caught before users notice. - Use Case: Run the skill each morning to collect the top 30 HN stories as JSON, then feed them into a digest email or trend-tracking spreadsheet. ## Quick Start Ask the AI to run the hackernews-frontpage skill and return the current top Hacker News stories as JSON.