What problem does it solve? Standard web fetching often fails on protected pages or produces messy output for complex documents. This Skill uses the official MinerU API to convert URLs (HTML pages like WeChat articles, or direct PDF/Office/image links) into clean Markdown with high-fidelity layout, table, formula, and OCR parsing. ## Core Features & Use Cases - URL-to-Markdown Conversion: Submit any URL to MinerU, poll for completion, and download the extracted Markdown plus structured JSON outputs. - MCP-Style Batch Interface: Parse multiple sources at once via mineru_parse_documents.py, which returns a stable JSON contract with per-item results and errors. - Model Selection & OCR: Automatically picks pipeline for documents/images and MinerU-HTML for web pages, with options for OCR, table, and formula recognition. - Use Case: You need to archive a WeChat article that web_fetch renders poorly. Run the parse script with the article URL and receive clean Markdown plus the full result zip cached locally. ## Quick Start Set your MINERU_TOKEN in the skill's .env file, then ask the AI to parse a URL into Markdown using the mineru_parse_documents script with the MinerU-HTML model.