What problem does it solve? Reading long or math-heavy PDFs naively wastes context and silently corrupts content: text extraction mangles mathematical notation, and scanned pages return empty text. This Skill provides a triage-first workflow that inspects each page before deciding whether to extract text, render it as an image, or run OCR. ## Core Features & Use Cases - Triage-Based Reading: Inspect page count, text length, image count, and notation density per page before committing to a reading strategy. - Full PDF Operations: Extract text, tables, and images; merge, split, rotate, watermark, create, fill forms, encrypt, decrypt, and OCR scanned documents. - Math and Figure Handling: Render pages with dense notation or figures to images instead of relying on lossy text extraction. - Use Case: Given a 200-page scanned thesis with heavy equations, triage the document, OCR the scanned pages, render equation-dense pages as images, and extract only the relevant page ranges. ## Quick Start Use the context-pdf skill to triage the attached PDF and extract the key findings from pages 10 through 25.