This article introduces the open‑source “book-to-skill” tool that compiles technical books into a Claude Code skill, enabling terminal queries that return answers from the actual book content while keeping token usage low and avoiding AI hallucinations.
The author demonstrates that OpenAI has quietly integrated Anthropic‑style “Skills” into ChatGPT, exposing a /home/oai/skills directory with PDF and spreadsheet modules, explains how the PDF skill converts files to PNGs for vision‑based reading, and shows how to mount these skills in Cursor for local tool invocation.
This article provides an in‑depth comparison of Microsoft’s MarkItDown and IBM‑backed Docling, evaluating their supported formats, output options, performance, community backing, and ideal use cases to help developers choose the right tool for AI‑driven document processing.
This article explains a practical approach to parsing PDFs containing text, tables, and images, using the open‑source Unstructured library and LlaVA model, then embedding each modality into a vector store with multi‑vector retrieval to enable accurate semantic search in private‑knowledge RAG pipelines, with optional LangChain integration.
The long‑standing Chinese Windows utility PDF Patcher, known for its extensive PDF editing capabilities, has been open‑sourced on GitHub, revealing its C# and C codebase, .NET Framework foundation, iText and MuPDF dependencies, and a unique “Conscience License” that adds moral obligations for users and developers.
