What problem does it solve? Manually copying content, structure, and design details from websites is slow and error-prone. This Skill fetches any URL and converts it into structured markdown knowledge covering metadata, heading outlines, visible text, links, and design signals, ready for analysis or reimplementation. ## Core Features & Use Cases - Multi-mode extraction: Run the bundled Python script in meta, outline, text, links, design, or full mode to pull exactly the data you need, with optional multi-page crawling. - Competitor analysis: Follow a structured framework to capture a competitor's positioning, sitemap, design tokens, and tech stack into reusable reference notes. - Site-to-code reimplementation: Turn scraped structure and design signals into Next.js 16, React 19, and Tailwind 4 components following a defined extract-model-implement-verify pipeline. - Use Case: Point the scraper at a competitor's landing page, crawl its key pages, and generate a knowledge file with its design tokens and section structure, then rebuild an adapted version as Next.js components in this project. ## Quick Start Scrape https://example.com in full mode and save the extracted knowledge as a markdown reference file.
