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Found 8 Skills
[Utilities] Convert PDF files to Markdown. Use when extracting text from PDFs, creating editable documentation from PDF reports, or converting PDF content to version-controlled markdown files.
Convert entire PDF documents to clean, structured Markdown for full context loading. Use this skill when the user wants to extract ALL text from a PDF into context (not grep/search), when discussing or analyzing PDF content in full, when the user mentions "load the whole PDF", "bring the PDF into context", "read the entire PDF", or when partial extraction/grepping would miss important context. This is the preferred method for PDF text extraction over page-by-page or grep approaches.
[Document Processing] Convert PDF files to Markdown with support for native text PDFs and scanned documents (OCR). Cross-platform.
Convert PDFs to Markdown using Mistral OCR API with image extraction. Use when you need to extract structured text and images from PDFs, especially for scanned documents or documents with complex formatting. Outputs Markdown with embedded images.
Convert PDF to clean Markdown with image content described as text. Use when user wants to convert a PDF to markdown, extract content from PDF, or prepare PDF content for AI tools.
Read and analyze academic papers from Zotero library. Use when the user requests to read, access, or analyze a paper by title, author, or topic from their Zotero library. Automatically searches Zotero, converts PDFs to markdown, saves to Notes/PaperInMarkdown, and provides analysis.
Read datasheets and technical PDF documents with `pcb scan`. Use when the user gives a local PDF path or an `http(s)` datasheet/document URL, when a task requires reading, summarizing, extracting information from, or answering questions about a datasheet or technical PDF, or when a KiCad symbol / `.kicad_sym` provides a `Datasheet` property to resolve. Run `pcb scan <input>` in bash, treat stdout as the generated `.md` path, then read that markdown file.
Use when you need legal PDF to markdown extraction plus clause chunking and embedding prep; pair with addon-rag-ingestion-pipeline and architect-python-uv-batch.