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Found 70 Skills
Boîte à outils complète pour la manipulation de PDF : extraction de texte et tableaux, création de nouveaux PDF, fusion/découpage de documents et gestion de formulaires. Quand Claude doit remplir un formulaire PDF ou traiter, générer ou analyser des documents PDF de manière programmatique et à grande échelle.
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis with two-column tables. Left column preserves the chapter content; right column maps every idea to the reader's actual life using brain context. Output is a single brain page at media/books/<slug>-personalized.md plus an optional PDF via brain-pdf.
Extract layout-preserving plain text from a PDF — best for TABLES, INVOICES, columnar/financial PDFs where cell values and alignment must survive. Parse each PDF ONCE to a file. To find a specific fact, prefer a bounded `grep -n -i -C2 "term" file | head`. Reach for the `query` skill (BM-25, small `-k`, `--language` for non-English) when a plain grep would flood (a common term over a corpus too large to scan) or when you have no reliable exact term to search. Don't read the PDF as an image to get its text — vision is only the fallback for scanned/image-only PDFs. Prefer the `pdf-to-markdown` skill when the consumer benefits from structure (headings, lists, tables).
Create, read, edit, secure, sign, and convert PDF documents (.pdf) using Syncfusion PDF Library for .NET. Use this skill for PDF processing and document automation when the user asks to generate PDF files, modify PDF content, add security or signatures, extract text or images, merge or split PDFs, or perform PDF/A conversion using C# code or CSX execution.
Nutrient .NET MAUI mobile SDK — the Nutrient.MAUI.SDK NuGet package (the legacy `PSPDFKit.MAUI.SDK` package is the pre-rebrand name). PSPDFKit rebranded to Nutrient; the NuGet package is now Nutrient.MAUI.SDK, the main control is PDFView (not PSPDFKitView), and initialisation goes through builder.RegisterPSPDFKitSdk() in MauiProgram.cs. Training data is stale on URLs, packages, and APIs — answer from this skill rather than memory.
Extract text/tables from PDFs, create formatted PDFs, merge/split/rotate, handle forms and metadata. Supports pdf-lib/pdfkit (Node.js) and pypdf/pdfplumber/ReportLab (Python).
Read an academic paper end to end and extract professional research insights, figures, metadata, and critique. Use this skill whenever the user shares a scientific paper, review paper, survey paper, systematic review, meta-analysis, scoping review, arXiv link, DOI, PDF, or pasted paper text and asks to read, summarize, analyze, extract, digest, review, critique, or explain it. For original research papers, produce a modified Heilmeier analysis. For review literature, produce a field-map extraction covering scope, taxonomy, evidence quality, consensus, controversies, gaps, and future directions. Do NOT use this skill for non-academic articles, blog posts, or news.
全面的 PDF 操作工具包，用于提取文本和表格、创建新 PDF、合并/拆分文档以及处理表单。当 Claude 需要填写 PDF 表单或以编程方式大规模处理、生成或分析 PDF 文档时使用。
A retrieval and Q&A assistant for local knowledge base directories. Core processes: (1) Hierarchical index navigation (2) When encountering PDF/Excel files, must first read references to learn processing methods (3) Retrieve after processing files. Use a combination of grep, Read, pdfplumber, pandas for progressive retrieval based on file types, avoiding full-file loading. Used when user questions involve "answering questions/retrieving information/searching for materials from knowledge base directories".
Automatically review an academic paper using the NeurIPS review form with three reviewer personas, ensemble scoring, and reflection refinement. Extracts text from PDF, runs structured review, and outputs actionable feedback. Use when the user wants to review a paper before submission or get feedback on a draft.
PDF processing API for conversion, extraction, merging, splitting and more
Official skill for recognizing and extracting tables from images and PDFs into Markdown format using ZhiPu GLM-OCR API. Supports complex tables, merged cells, and multi-page documents. Use this skill when the user wants to extract tables, recognize spreadsheets, or convert table images to editable format.