What problem does it solve? Manually scraping web pages and parsing raw HTML into usable content is tedious and error-prone. This Skill provides a structured way to fetch any web URL and receive clean, structured data including the page title, main HTML content, plain text, and publication timestamp. ## Core Features & Use Cases - Automatic Content Extraction: Invoke the page_reader function with a URL to retrieve the title, HTML content, and publication time without writing custom parsers. - CLI and SDK Access: Use the z-ai CLI for quick one-off scraping tasks, or integrate the z-ai-web-dev-sdk into backend applications for batch processing, caching, and rate-limited pipelines. - Use Case: Imagine you are building a news aggregation service. Use this Skill to fetch articles from multiple source URLs, extract their titles and content, and compile them into a searchable feed sorted by publication date. ## Quick Start Use the web-reader skill to extract the article content and title from https://example.com/article and save the result as JSON.
