What problem does it solve? Fetching web content often fails against JavaScript-heavy pages or bot-protected sites, and naive scraping produces raw HTML that is unusable for AI consumption. This Skill provides bounded public-web extraction through Scrapling with escalation between fetch strategies and sanitizes every CLI result for AI use. ## Core Features & Use Cases - Tiered fetch strategies: Choose static fetches for simple pages, browser-rendered fetches for JavaScript-driven content, or authorized stealth fetches for anti-bot protected pages. - Escalation on failure: Escalates to a stronger fetch mode only after a concrete failure, keeping extraction bounded and deliberate. - AI-ready output: Sanitizes every CLI result so extracted content is clean and consumable by an AI agent. - Use Case: You need to pull article text from a site that renders content client-side. Invoke the skill to attempt a static fetch, escalate to browser rendering when the static result is empty, and receive sanitized text ready for summarization. ## Quick Start Ask the agent to scrape a specific public URL with Scrapling and return the sanitized page content, escalating to browser rendering if the static fetch fails.