tfriedel/claude-office-skills▌

This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see REFERENCE.md. If you need to fill out a PDF form, read FORMS.md and follow its instructions.

Create, edit, and analyze PowerPoint presentations with XML-level control and template workflows. \n \n Supports three workflows: creating presentations from scratch using HTML-to-PPTX conversion, editing existing presentations via raw OOXML manipulation, and building from templates with slide duplication and text replacement \n Includes text extraction via markdown conversion, raw XML access for comments, speaker notes, layouts, and design elements, and typography/color analysis from theme file

Create, edit, and analyze Word documents with tracked changes, comments, and formatting preservation. \n \n Three distinct workflows: text extraction via pandoc, creating new documents with docx-js, and editing existing documents with the Python Document library \n Redlining workflow for comprehensive tracked changes with batching strategy, minimal edits principle, and systematic implementation guidance \n Raw XML access for comments, complex formatting, embedded media, and document structure vi

Create, edit, and analyze Excel spreadsheets with formulas, formatting, and data validation. \n \n Supports reading, creating, and modifying .xlsx, .xlsm, .csv, and .tsv files with full formula preservation and recalculation \n Includes financial modeling standards: color-coded text (blue for inputs, black for formulas, green for internal links, red for external links), currency formatting, and assumption-based formula construction \n Provides data analysis capabilities via pandas for statistics