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分类目录: blockchain documents

显示第 553–565 个,共 565 个

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GitHub

pdf

JPFrancoia

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, ge...

GitHub

gemini-pdf-analyzer

matixlol

Analyzes PDFs and images using Gemini 2.5 Flash via OpenRouter. Use when asked to extract info, ask questions about, or analyze large PDFs or images agentically.

GitHub

compare-pdf

yhonda-ohishi

2つのPDFファイルを比較し、内容が同一かどうかを判定(動的メタデータ除外)

GitHub

markdown-converter

yasuhito

markitdown でドキュメントやファイルを Markdown に変換。PDF、Word (.docx)、PowerPoint (.pptx)、Excel (.xlsx, .xls)、HTML、CSV、JSON、XML、画像(EXIF/OCR 付き)、音声(文字起こし付き)、ZIP アーカイブ、YouTube UR...

GitHub

pdf

reactiv

Read and extract content from PDF files. Use this skill when working with PDF documents to extract text, tables, or structured data.

GitHub

fixture-table

grahama1970

Generate PDF tables using ReportLab Table class for proper structure detection. Creates tables that Marker and other extractors can actually parse, unlike raw PDF drawing commands. Use when user needs detectabl...

GitHub

fixture-tricky

grahama1970

Generate adversarial PDF content that breaks extractors. Creates false-positive tables, malformed tables, cursed text, and layout traps. Extensible registry for adding new edge cases discovered from real-world...

GitHub

pdf

Jimmy1987s

全面的 PDF 操作工具包,用於擷取文字和表格、建立新 PDF、合併/分割文件,以及處理表單。當 Claude 需要填寫 PDF 表單或以程式化方式處理、產生或大規模分析 PDF 文件時使用。

GitHub

markitdown

fgarofalo56

Expert guidance for converting files to Markdown using Microsoft's MarkItDown utility. Convert PDF, Word, PowerPoint, Excel, images, audio, HTML, CSV, JSON, XML, ZIP, and EPub files to LLM-friendly Markdown for...

GitHub

normalize

grahama1970

Normalize text to handle PDF/Unicode encoding issues. Converts Windows-1252, curly quotes, em/en dashes, ligatures, directional formatting, zero-width chars, and more to clean ASCII.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

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