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Found 47 Skills
Extract text content from various file formats. Supports PDF, Excel, Word, Images (OCR), Email, and ZIP Archives. Use for summarizing or analyzing binary files.
Append conversation context to cumulative project history - never overwrites
Expert in extracting text from images using Tesseract, EasyOCR, PaddleOCR, Google Vision, AWS Textract, Claude Vision. Trigger: When extracting text from images, screenshots, scanned documents, or PDFs.
Reads PDF files and extracts text content in Markdown format. Handles tables and multi-page documents. Use when needing to read PDF documents. Requires pdfplumber package.
OCR Web Service integration. Manage Documents. Use when the user wants to interact with OCR Web Service data.
Extract full context of the last task from the most recent parent session shown in the session lineage. Strategically uses sub-agents to avoid bloating your own context.
Extracts hidden or encoded text from GCODE files by analyzing toolpath geometry and coordinate data. This skill should be used when tasks involve decoding text from 3D printing files, recovering embossed or engraved text from GCODE, or CTF-style challenges involving GCODE analysis. Applies to any task requiring geometric reconstruction of text from CNC or 3D printer movement commands.
Straightforward text extraction from document files (text-based PDF only for now, no OCR or docx). Use when you just need to read/extract text from binary documents.
PDF text extraction, form filling, and merging using pypdf and pdfplumber.
Creation, editing, and analysis of Word documents, supporting track changes, comments, format retention, and text extraction. Use this when you need to create .docx files, modify content, handle track changes/comments, or perform other document tasks.
Use when user wants to extract text from ebooks (EPUB, MOBI, PDF). Use for converting ebooks to plain text for analysis, processing, or reading. Handles all common ebook formats.
Build complete document knowledge bases with PDF text extraction, OCR for scanned documents, vector embeddings, and semantic search. Use this for creating searchable document libraries from folders of PDFs, technical standards, or any document collection.