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Skills IA blockchain documents

Découvrez les skills blockchain documents, comparez leurs dépôts et consultez leurs instructions.

Catégories: blockchain documents

2,545–2,552 sur 2,552

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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

technical-editor

ryanshepps

Review and edit technical articles for clarity, conciseness, and professional tone. Removes fluff, improves logical flow, validates mental models, ensures direct enterprise-quality writing like Google, Anthropi...

GitHub

md-section-splitter

yasuhito

Split normalized Markdown into H2 sections using skills/md-section-splitter/scripts/anthropic_split_sections.rb, producing per-section files and index metadata. Use when you need deterministic sectionization fo...

GitHub

translate

maeteno

Language translation and grammar teaching skill for Chinese-English translation. Use when the user requests translation between Chinese and English, asks for grammar explanations, or wants to learn/improve thei...

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

media-understand

maxgent-ai

使用 AI 理解和分析多媒体内容(图片、视频、音频)。Use when user wants to 理解图片, 分析视频, 音频转文字, 视频问答, understand media, analyze video, transcribe audio, describe image, what is in this video/image/...

GitHub

extract-company-info

teslamint

This skill should be used when the user asks to "extract company info", "회사 정보 추출", "기업 정보", "company profile", or provides Wanted company page URLs (wanted.co.kr/company/*)

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.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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