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Found 155 Skills
Full DeepRead API reference. All endpoints, auth, request/response formats, blueprints, webhooks, error handling, and code examples.
Markdown 파일을 한글 문서(HWPX)로 변환합니다. pypandoc-hwpx 기반.
한글(HWP/HWPX) 문서를 다양한 포맷(Text, HTML, ODT, PDF)으로 변환하고, Markdown/HTML을 HWPX로 생성하는 작업을 도와줍니다. LLM/RAG 파이프라인을 위한 문서 처리, 청킹, LangChain 연동을 지원합니다.
Reads images of payment statements and returns structured data. It can be called by other skills or directly by users.
Word (.docx) manipulation via MCP server. Use for reading, creating, editing, formatting Word documents including tables, footnotes, comments, images, headers, styles, and PDF conversion.
Microsoft Office document manipulation (Word, Excel, PowerPoint, PDF). Use when: creating professional .docx documents, filling PDF forms, extracting tables from PDFs, building presentations, working with spreadsheets, or any task involving Office file formats. Triggers: Word, Excel, PowerPoint, PDF, .docx, .xlsx, .pptx, spreadsheet, presentation, slides, form, invoice, report, memo, letter, budget, financial model.
Cross-format document accessibility rule reference with WCAG 2.2 mapping. Use when looking up accessibility rules for Word (DOCX-*), Excel (XLSX-*), PowerPoint (PPTX-*), or PDF (PDFUA.*, PDFBP.*, PDFQ.*) documents, or when mapping findings to WCAG success criteria for compliance reporting.
Edit existing PowerPoint files or templates with XML-safe workflows. Use for template-based deck updates: analyze layouts, map content to slides, duplicate/reorder/delete slides safely, edit slide XML in parallel, clean orphaned assets, and repack validated PPTX output.
PDF data extraction tool. Use it when users mention "PDF extraction", "PDF to Markdown", "PDF parsing", "extract PDF content", "PDF to JSON", "RAG PDF". OpenDataLoader PDF is currently the top-ranked PDF parser in benchmark tests, supporting local mode (fast, deterministic) and hybrid AI mode (for complex tables, scanned documents, formulas), with output formats including Markdown, JSON (with bounding boxes), and HTML. It is suitable for scenarios where structured data needs to be extracted from PDFs for RAG/LLM pipelines, or where batch processing of PDF documents is required.
Convert Markdown files and strings into DOCX documents using @mohtasham/md-to-docx. Use when a user needs Markdown to Word conversion, CLI-based file conversion, options-driven styling/alignment/font family, TOC/page break handling, underline/strikethrough formatting, multi-section documents with per-section headers/footers, or programmatic conversion in Node/browser code.
Analyze a batch of functional specs from a ***plain spec file to determine which pairs conflict. Replaces the pair-by-pair `analyze-2-func-specs` flow when a caller wants to check many specs at once (e.g. a new spec against every existing spec, or a freshly inserted batch against itself).
Translates a contract review into a summary the business stakeholder will actually read. Not a legal memo — a two-minute answer to "can I sign this and what do I need to know." Use when user says "summarize for the business", "write this up for [stakeholder]", "explain this to procurement", "non-legal summary", or when a review is done and needs to go to someone outside legal.