Specialized guidance for editing EXISTING Excel files with emphasis on preserving formulas, formatting, and structure across multiple tabs. Use this skill when modifying, updating, or adding data to existing .xlsx files where maintaining integrity is critical—particularly for multi-tab workbooks, complex formulas, formatted tables, and data that must maintain sort order and relationships across sheets.
Converts Product Requirements Documents into prd.json format for the Ralph autonomous agent system. Use when preparing PRDs for Ralph execution, breaking down features into atomic user stories, or when the user mentions Ralph, prd.json, or autonomous agent workflows.
Extract markdown document structure and content from mixed/embedded text (NOT for converting plain text TO markdown)
Convert JSON data to XML format with customizable root element and attribute handling
PowerPoint presentation processing. Format: .pptx (ZIP/XML structure). Capabilities: create presentations, edit slides, layouts/masters, speaker notes, comments, shapes, images, charts, text extraction, template preservation. Actions: create, edit, analyze, extract from presentations. Keywords: PowerPoint, pptx, presentation, slide, layout, master slide, speaker notes, comments, shapes, images, charts, text extraction, template, slide deck, bullet points, title slide, content slide, animation. Use when: creating presentations, editing PowerPoint files, extracting slide content, modifying layouts, adding speaker notes, working with presentation templates.
Intelligently parse and move content from source markdown files to appropriate ontology locations with validation, enrichment, and web content integration
Convert PDF, Office, images, HTML, and URLs to Markdown. Use for document conversion, text extraction, OCR, web scraping, RAG pipelines. Triggers: "convert to markdown", "extract text", "read PDF", "scrape URL".
Suggests improvements for English language text but does not rewrite the original. Use when asked to correct spelling or wording and the text is English.
Convert PDF documents to well-structured Markdown files. Use when user asks to convert PDFs, extract text from PDFs, or transform PDF documents to markdown format.
Count words in text. Use to determine length of a document, e.g. to determine if it needs to be summarized before further use
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
Download YouTube video transcripts when user provides a YouTube URL or asks to download/get/fetch a transcript from YouTube. Also use when user wants to transcribe or get captions/subtitles from a YouTube video.
Analyze and format multilingual Markdown documents by adding headers, bold formatting to key terms, and fixing bold rendering issues across all languages (Korean, English, Chinese, Japanese, etc.). Use when the user requests Markdown document structure improvement, header organization, or bold formatting fixes.
PDF document processing and manipulation. Tools: Python (PyPDF2, pdfplumber, reportlab), CLI tools. Capabilities: text extraction, table extraction, form filling, merge/split documents, create PDFs, add annotations, watermarks, page manipulation. Actions: extract, create, merge, split, fill, annotate PDFs. Keywords: PDF, text extraction, table extraction, form fill, PDF form, merge PDF, split PDF, create PDF, reportlab, PyPDF2, pdfplumber, annotation, watermark, page rotation, PDF metadata, bookmarks, OCR. Use when: extracting text/tables from PDFs, filling PDF forms, merging/splitting documents, creating PDFs programmatically, adding annotations/watermarks, processing PDFs at scale.
Docling document parser for PDF, DOCX, PPTX, HTML, images, and 15+ formats. Use when parsing documents, extracting text, converting to Markdown/HTML/JSON, chunking for RAG pipelines, or batch processing files. Triggers on DocumentConverter, convert, convert_all, export_to_markdown, HierarchicalChunker, HybridChunker, ConversionResult.
Extract named entities, topics, and relationships from text or structured content
Fetch all text from URL or base64 PDF. Collection-aware (extracts first item if given Collection). Auto-detects format (PDF/HTML/MD/TXT) and extracts complete text content
