What problem does it solve? Manually reading articles, videos, PDFs, and newsletters to catalog people, companies, links, and topics is slow and inconsistent. This Skill converts any content source into a single deterministic JSON schema with deduplicated entities, so parsed content can flow directly into a newsletter database or knowledge graph. ## Core Features & Use Cases - Universal Content Parsing: Auto-detects content type (YouTube, article, PDF, newsletter, Twitter thread) and routes to a specialized extraction workflow. - Entity Extraction with Collision Detection: Assigns UUID v4 GUIDs to people, companies, links, and sources, reusing existing GUIDs from a global entity index to prevent duplicates across content. - Batch Processing with Gemini: Processes 10-50 URLs in a single Gemini 3 Pro request for faster, cheaper, cross-article entity resolution. - Browser Extension Security Analysis: Analyzes browser extensions for clone detection, malicious permissions, C2 domains, and evasion techniques. - Use Case: Paste five article URLs and receive five schema-validated JSON files with summaries, entities, topics, and confidence scores, with all entities deduplicated against your existing index. ## Quick Start Ask the assistant to parse a URL such as "parse this YouTube video for the newsletter" and it will detect the content type, extract entities, and return validated JSON.