What problem does it solve? Manually copying content from web pages is slow and error-prone, and building custom scrapers requires handling HTML parsing, metadata extraction, and error cases yourself. This Skill provides a ready-made page_reader function that fetches any URL and returns structured data including title, HTML content, plain text, and publication time. ## Core Features & Use Cases - Automatic Content Extraction: Invoke the page_reader function with a URL to retrieve the page title, main HTML content, publication timestamp, and metadata in a single call. - CLI and SDK Modes: Use the z-ai CLI for quick one-off scraping tasks, or integrate the z-ai-web-dev-sdk into backend JavaScript/TypeScript applications for batch processing, caching, and rate limiting. - Use Case: Imagine you are building a news aggregation service. Use this Skill to fetch articles from dozens of source URLs in parallel, extract their titles and text, and compile them into a searchable feed with publication dates. ## Quick Start Ask the AI to extract the article content and title from a specific URL using the web-reader skill.
