What problem does it solve? Manually checking the Hacker News front page for top stories is repetitive, and building a custom scraper means handling HN's HTML structure, entity decoding, and edge cases like job postings. This Skill automates that extraction and returns clean, structured JSON. ## Core Features & Use Cases - Front-page scraping: Navigates to news.ycombinator.com through a browser daemon and parses the stable tr.athing row structure into typed story records. - Structured JSON output: Each story includes rank, HN item id, title, outbound URL, point count, and comment count, with nulls for job postings that lack scores. - Fixture-tested parser: The HTML parser is a pure function tested against a bundled fixture, so selector breakage is caught before it affects users. - Use Case: Ask for the current top Hacker News stories and receive a JSON array you can pipe into a digest, dashboard, or trend-tracking script. ## Quick Start Ask the assistant to run the hackernews-frontpage skill and return the current top Hacker News stories as JSON.