What problem does it solve? Saving a PDF into a Markdown-based wiki usually means losing tables, mangling accented characters, or silently storing an opaque binary that cannot be searched or quoted. This Skill converts local or downloaded PDFs into greppable, citable Markdown clippings with explicit fidelity metadata so downstream notes know how much to trust the extraction. ## Core Features & Use Cases - Layout-aware text extraction: Uses pdftotext (Xpdf or Poppler) with automatic detection of reading-order versus tabular layouts, plus manual --mode overrides when the detector misfires. - OCR fallback for scanned PDFs: Rasterizes pages with pdftoppm and recognizes them with Tesseract when no text layer exists, tagging results with extraction: ocr. - Fidelity and provenance tracking: Stamps clippings with fidelity: tabular|degraded, source URL, content hash, and topic, and records declines for thin extractions so they are not retried blindly. - Use Case: During a literature review, clip a two-column academic paper into raw/clippings/, verify the extraction, then hand it to the ingestion workflow to summarize and cross-reference it in the wiki. ## Quick Start Ask the agent to clip a local PDF into the wiki, for example: clip the paper at ~/Downloads/attention.pdf with source URL and topic set to my current research run.