Skills your agents can run

Use when needing to look up book content, find a book by title/author, download an ebook, or reference material from a published book. Triggers on book lookups, ebook downloads, "find the book", "get the PDF/EPUB of". Downloads produce PDF/EPUB/MOBI files - use ebook-extractor skill to convert to text.

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

Fast local PDF parsing with PyMuPDF (fitz) for Markdown/JSON outputs and optional images/tables. Use when speed matters more than robustness, or as a fallback while heavier parsers are unavailable. Default to single-PDF parsing with per-document output folders.

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When OpenCode needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

Draft LaTeX paper section by section from an outline. Use when the user says write paper, draft LaTeX, start writing, or wants to generate LaTeX content from a paper plan.

Review contracts for concerning clauses, extract key terms, compare to standard terms, and flag unusual provisions. Use when user needs contract review, legal document analysis, or agreement evaluation.

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.

LaTeX template high-fidelity optimizer, supports alignment of style parameters for any LaTeX template, alignment of title text, comparison of title formatting (bold), HTML visualization reports, LaTeX automatic repair suggestions, and pixel-level PDF comparison verification.

Extract and convert PDF documents using Python scripts

Extract text from PDFs for LLM consumption. Use when processing PDFs for RAG, document analysis, or text extraction. Supports API services (Mistral OCR) and local tools (PyMuPDF, pdfplumber). Handles text-based PDFs, tables, and scanned documents with OCR.

Generate beautifully designed PDF reports with a Nordic/Scandinavian aesthetic. Uses the Nutrient DWS API for HTML-to-PDF conversion.

OpenClaw-native PDF/document processing skill for Nutrient DWS. Best for OpenClaw users who need PDF conversion, OCR, text/table extraction, PII redaction, watermarking, digital signatures, and API credit checks via built-in `nutrient_*` tools. Triggers on OpenClaw tool names (`nutrient_convert_to_pdf`, `nutrient_extract_text`, etc.), "OpenClaw plugin", "Nutrient OpenClaw", and document-processing requests in OpenClaw chats. For non-OpenClaw environments, use the Universal Nutrient Document Processing skill instead.

Analyze construction drawings to extract dimensions, annotations, symbols, and metadata. Support quantity takeoff and design review automation.

View, extract, edit, and manipulate PDF files. Supports text extraction, text editing (overlay and replacement), merging, splitting, rotating pages, and getting PDF metadata. Use when working with PDF documents for reading content, adding/editing text, reorganizing pages, combining files, or extracting information.

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. Use when: processing PDFs, extracting content or tables, merging files, splitting documents, or programmatically filling PDF forms.

Production-ready PDF processing with forms, tables, OCR, validation, and batch operations. Use when working with complex PDF workflows in production environments, processing large volumes of PDFs, or requiring robust error handling and validation.

Contract analysis and negotiation support skill with clause extraction and risk identification

Validate that worker-generated reports have all required sections and proper formatting. Use in quality gates, for report completeness checking, or when debugging missing report sections.

Create professional PDF reports with text, tables, and embedded images using the reportlab Python library. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).

This skill provides guidance for fixing LaTeX overfull hbox warnings by making synonym substitutions. It should be used when the task involves resolving LaTeX line-breaking issues by replacing words with synonyms from an allowed list, particularly when the goal is to reduce line width without changing meaning.