Manipulate PDF files in Python: extract text/tables, create, merge, split, and fill forms. WHEN: Extracting text from PDFs, creating PDF documents, merging/splitting PDFs, filling PDF forms, working with pdfplumber/PyPDF2/reportlab. WHEN NOT: Word documents (use python-docx), Excel files (use python-xlsx), image processing.
Convert flat/scanned PDF documents into interactive fillable PDF forms using OCR-based field detection with AWS Textract and AI vision validation. Use when users need to: (1) Transform static PDFs into editable forms, (2) Detect and convert form fields (text inputs, checkboxes, signatures) automatically, (3) Digitize paper-based forms for electronic completion, (4) Validate form field detection accuracy, or (5) Batch convert multiple similar forms while preserving original styling and layout.
Extract and process content from PDFs and DOCX files. Handles large files, OCR for scanned documents, page splitting, and markdown conversion. Use when: (1) Processing PDF references in notes, (2) Extracting text from large documents for analysis, (3) Converting DOCX to markdown, (4) Handling scanned/image PDFs with OCR, (5) Integrating with Obsidian or note-taking workflows, (6) Splitting large documents into manageable chunks. Invoke with: /process-document, /extract-pdf, /extract-docx, or say "use document-processor skill to..."
Document OCR integration using Google Gemini Flash API for extracting data from passports and licenses.
Generates prd.json task tracking file from PRD.md requirements document. Use when initializing Ralph loop or when the user asks to convert PRD to JSON format for autonomous execution.
Enforce consistent chapter formatting, numbering conventions, and structural alignment across the entire textbook. Use when creating new chapters, reviewing existing content for consistency, or establishing formatting standards.
Re-index all PDF and HTML documents, update index.html, and commit/push changes to the repository
Merge multiple PDF files into single document with customizable options. Supports page selection, bookmarks, and metadata. Use when combining PDFs, creating documents from multiple sources, or organizing PDF collections.
Convert documents and files to Markdown using markitdown. Use when converting PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx, .xls), HTML, CSV, JSON, XML, images (with EXIF/OCR), audio (with transcription), ZIP archives, remote URLs (including YouTube), or EPubs to Markdown format for LLM processing or text analysis.
Markdown形式の資料作成ガイド。説明資料、手順書、提案書、報告書、会議議事録、FAQ作成時に参照。図解にはMermaid記法を活用してわかりやすい資料を作成。
Document OCR integration using Google Gemini Flash API for extracting data from passports and licenses.
Comprehensive i18n consistency check with dynamic pattern detection and hardcoded string analysis. Use when working with translations, localization, i18n keys, or when the user mentions translation issues, missing keys, or language support. Auto-triggers on phrases like "check translations", "i18n consistency", "localization issues", or "translation keys".
Use when a YouTube video transcript is needed e.g. for summarisation or Q&A on the content.
Converts all headings in a document into normal paragraphs while keeping the original font size, weight, color, and other formatting intact.
HWP/HWPX 한글 문서 텍스트 자동 치환 도구. 한글 파일에서 특정 텍스트를 찾아 치환할 때 사용. 템플릿 문서 자동화, 대량 문서 수정에 활용.
Converts American English words/slang to British English equivalents. Usage: /british-slang <word or phrase>
Extract transcripts from YouTube videos. Use when user says "get transcript", "transcribe this video", "what does this YouTube video say", "extract captions", "youtube transcript", or provides a YouTube URL and wants the text content.
