documents▌

Convert PDF files to Markdown with automatic detection of native text vs scanned documents. \n \n Supports three conversion modes: auto-detect (default), native text extraction, and OCR for scanned PDFs \n Fast JavaScript-based processing with no system dependencies; returns JSON output with page count and conversion mode \n Handles basic table structure preservation and works cross-platform on Windows, macOS, and Linux \n OCR for scanned documents requires optional tesseract.js setup; complex m

Generate Microsoft Office documents and PDFs with pure JavaScript, no native dependencies. \n \n Create DOCX, XLSX, PDF, and PPTX files with TypeScript; all libraries run in Node.js, browsers, and Cloudflare Workers \n DOCX supports paragraphs, tables, images, and text formatting; XLSX handles formulas, multiple sheets, and JSON-to-sheet conversion \n PDF includes text, shapes, images, form filling, and page merging; PPTX covers slides, charts, tables, and master layouts \n Common pitfalls: reme

Step-by-step guide for documenting new AI provider integrations across docs, environment variables, and Docker configs. \n \n Create bilingual usage documentation (English and Chinese) with 5-6 screenshots, cover images, registration URLs, and pricing callouts, using placeholder API keys only \n Add environment variable documentation for both languages covering required API keys and optional model list configuration with examples \n Update three Dockerfile variants and .env.example with provider

Set up professional documentation websites using popular static site generators like Docusaurus, MkDocs, VitePress, and GitBook.

Handle the request directly. Do NOT spawn sub-agents. Always write the output file the user requests.

This skill enables conversion from Markdown to various Office formats using Pandoc - the universal document converter. Convert your Markdown files to professional Word documents, PowerPoint presentations, PDFs, and more while preserving formatting and structure.

Comprehensive PDF processing covering text extraction, merging, splitting, OCR, form filling, and encryption. \n \n Supports multiple Python libraries: pypdf for basic operations (merge, split, rotate, encrypt), pdfplumber for text and table extraction with layout preservation, and reportlab for creating new PDFs from scratch \n Includes command-line tools (pdftotext, qpdf, pdftk) for batch processing and scripting workflows \n Handles scanned PDFs via OCR using pytesseract and pdf2image to make

Comprehensive document control system design, regulatory documentation oversight, and change management for medical device organizations. \n \n Covers document control system architecture, regulatory documentation frameworks for EU MDR, FDA, and ISO standards, plus change control and configuration management workflows \n Includes document management system (DMS) implementation strategy with system selection, design, validation, and deployment guidance \n Addresses advanced applications: technica

Create, edit, and analyze spreadsheets with formulas, formatting, and data operations. \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 conventions (blue for inputs, black for formulas, green for internal links, red for external links), standardized number formatting, and assumption-based formula construction \n Provides data analysis capabilities via pand

This skill enables conversion from PDF to editable Word documents using pdf2docx - a Python library that preserves layout, tables, images, and text formatting. Unlike OCR-based solutions, pdf2docx extracts native PDF content for accurate conversion.