What problem does it solve? Manually copying content from web pages, videos, tweets, and documents is slow and inconsistent. This Skill turns any supported URL into clean, structured markdown content with metadata, ready for downstream use in other generation workflows. ## Core Features & Use Cases - Multi-Platform Extraction: Parses YouTube and Bilibili transcripts, Twitter/X profiles and tweets, WeChat articles, PDF/DOCX documents, images, and general web articles through one API. - Configurable Options: Optionally generate summaries, cap content length, or control how many tweets to fetch (1-100) from a Twitter/X profile. - Structured Output: Saves extracted content as a markdown file plus the full raw API response as JSON in the current working directory. - Use Case: Paste a Wikipedia or WeChat article URL and receive a clean markdown file with title, author, publish date, and references, ready to feed into a podcast or TTS generation skill. ## Quick Start Ask the agent to parse a URL, for example: extract the content from https://en.wikipedia.org/wiki/Topology and save it to the current directory.