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Found 10 Skills
Advanced document parsing with PaddleOCR. Returns complete document structure including text, tables, formulas, charts, and layout information. Claude extracts relevant content based on user needs.
Use this skill when the user asks to parse, perform multi-format document conversion or spatially extract text from an unstructured file (PDF, DOCX, PPTX, XLSX, images, etc.) locally without cloud dependencies.
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Use Document Mind (DocMind) via Node.js SDK to submit document parsing jobs and poll results. Designed for Claude Code/Codex document understanding workflows.
Read content from Feishu cloud documents or knowledge bases and analyze document structure. It is used when users request to "view", "read", "analyze", "fetch", "open" Feishu documents or knowledge bases. It supports reading via document ID, knowledge base Token or URL. Markdown is used as the intermediate format and stored in the /tmp directory.
Complex document parsing with PaddleOCR. Intelligently converts complex PDFs and document images into Markdown and JSON files that preserve the original structure.
Extract and analyze data from invoices, receipts, bank statements, and financial documents. Categorize expenses, track recurring charges, and generate expense reports. Use when user provides financial PDFs or images.
This skill should be used when the user asks to "解析PDF", "解读文档", "分析PDF文件", "PDF解读", "extract content from PDF", "analyze PDF document", "parse academic paper", or provides a PDF file path for content extraction and analysis. Provides comprehensive PDF document analysis and content extraction capabilities for WeChat content creation.
This skill provides semantic search capabilities using embedding-based similarity matching for code and text. Enables meaning-based search beyond keyword matching, with optional document parsing (PDF, DOCX, PPTX) support.
Read Feishu Cloud Docs (supports multiple links), parse content such as text, tables, images in documents, and convert Product Requirement Documents (PRD) into structured development requirement documents according to the development language and storage structure selected by users