documents▌

markdown-to-pdf

AI-powered illustration generation that analyzes document content and creates styled images for each key topic. \n \n Automatically extracts core themes from any document format (Markdown, plain text, PDF) without requiring specific structure \n Offers three visual styles: gradient glassmorphism, ticket/ticket-stub design, and flat vector illustration \n Supports flexible image ratios (16:9 landscape or 3:4 portrait) and optional cover image generation \n Displays归纳 results for user confirmation

This skill provides tools and guidance for extracting text from PDFs in formats suitable for language model consumption.

To preserve ANY formatting from the source document, MUST unzip and parse XML.

A user may ask you to create, edit, or analyze the contents of a .docx file. A .docx file is essentially a ZIP archive containing XML files and other resources that you can read or edit. You have different tools and workflows available for different tasks.

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.

Consolidate redundant documentation while preserving 100% of valuable content.

Read, create, and edit DOCX files with visual layout validation and professional formatting. \n \n Use python-docx for structured document creation and editing (headings, styles, tables, lists). \n Convert DOCX to PDF to PNG for visual inspection of layout, tables, diagrams, and pagination fidelity before delivery. \n Includes bundled scripts/render_docx.py helper for rendering; falls back to text extraction if visual tools are unavailable. \n Requires python-docx , pdf2image , and system tools

Create, edit, and format DOCX documents via CLI tools or direct C# scripts built on OpenXML SDK (.NET).

Generates comprehensive documentation for codebases - architecture, components, data flow, development guidelines.