Extract, merge, split, create, and fill PDF documents using Python libraries and command-line tools.
npx skills add https://github.com/MWest2020/skill-forge --skill pdf-mwest2020
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/MWest2020/skill-forge/tree/main/skills/pdf Command: npx skills add https://github.com/MWest2020/skill-forge --skill pdf-mwest2020
High-intent search queries and answers about installing and using this skill.
Use pdfplumber to extract text with layout preserved and to pull tables via page.extract_tables(). For basic text and metadata, pypdf's PdfReader works well. Extracted tables can be loaded into pandas DataFrames and exported to Excel.
Use pypdf's PdfWriter to merge by adding pages from multiple readers, or write each page to a separate file to split. The qpdf command-line tool also handles both: qpdf --empty --pages file1.pdf file2.pdf -- merged.pdf.
For fillable PDFs, extract field info with the bundled script, then write values with pypdf's update_page_form_field_values. For non-fillable PDFs, determine bounding box coordinates and overlay text using FreeText annotations.
Scanned PDFs contain images, not text layers, so standard parsers fail. Convert pages to images with pdf2image, then run OCR with pytesseract to produce searchable text.
ReportLab's built-in fonts lack Unicode subscript and superscript glyphs, so they render as solid boxes. Use the <sub> and <super> XML tags inside Paragraph objects instead of Unicode characters.
claude-office-skillsConvert PDF files to and from Word, Excel, and images.
jbarlek3-webParse PDFs to extract text, tables, and metadata using pdfplumber and pypdf.
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legoutExtracts text and structured data from images using OCR engines.
