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Categorías
documents

Documentos

Navega por habilidades de agente para procesamiento de PDF, Word, Excel y documentos. Automatiza flujos de trabajo y transformaciones de documentos.

openclaw/openclaw

Use the diffs tool to produce real, shareable diffs (viewer URL, file artifact, or both) instead of manual edit summaries.

openclaw/openclaw

Feishu document read/write operations. Activate when user mentions Feishu docs, cloud docs, or docx links.

openclaw/openclaw

Edit PDFs with natural-language instructions using the nano-pdf CLI.

openclaw/openclaw

Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.

lead-intelligence

日本語翻訳：このファイルは lead-intelligence 用の日本語翻訳が必要です

nutrient-document-processing

Nutrient DWS API を使用してドキュメントの処理、変換、OCR、抽出、編集、署名、フォーム入力を行います。PDF、DOCX、XLSX、PPTX、HTML、画像に対応しています。

customs-trade-compliance

海关文件、关税分类、关税优化、受限方筛查以及多司法管辖区法规合规的编码化专业知识。由拥有15年以上经验的贸易合规专家提供。包括HS分类逻辑、Incoterms应用、自贸协定利用以及罚款减免。适用于处理海关清关、关税分类、贸易合规、进出口文件或关税优化时使用。license: Apache-2.0

frontend-slides

从零开始或通过转换PowerPoint文件创建令人惊艳、动画丰富的HTML演示文稿。当用户想要构建演示文稿、将PPT/PPTX转换为网页格式，或为演讲/推介创建幻灯片时使用。帮助非设计师通过视觉探索而非抽象选择发现他们的美学。

nutrient-document-processing

使用Nutrient DWS API处理、转换、OCR识别、提取、编辑、签名和填写文档。支持PDF、DOCX、XLSX、PPTX、HTML和图像格式。

visa-doc-translate

将签证申请文件（图片）翻译成英文，并创建包含原文和译文的双语PDF

nutrient-document-processing

Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.

regex-vs-llm-structured-text

Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.

visa-doc-translate

Translate visa application documents (images) to English and create a bilingual PDF with original and translation

n8n-loom-transcript

Fetch and display the full transcript from a Loom video URL. Use when the user wants to get or read a Loom transcript.

NousResearch/hermes-agent

Author/validate/export Google's DESIGN.md token spec files.

youtube-content

NousResearch/hermes-agent

YouTube transcripts to summaries, threads, blogs.

NousResearch/hermes-agent

Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).

NousResearch/hermes-agent

Create, read, edit .pptx decks, slides, notes, templates.

book-translation

Translate "The Interactive Book of Prompting" chapters and UI strings to a new language

anthropics/skills

Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.

This skill should be used when the user asks to "update documentation for my changes", "check docs for this PR", "what docs need updating", "sync docs with code", "scaffold docs for this feature", "document this feature", "review docs completeness", "add docs for this change", "what documentation is affected", "docs impact", or mentions "docs/", "docs/01-app", "docs/02-pages", "MDX", "documentation update", "API reference", ".mdx files". Provides guided workflow for updating Next.js documentation based on code changes.

mattpocock/skills

Take a markdown file of raw material and shape it into an article through a conversational session — drafting candidate openings, growing the piece paragraph by paragraph, arguing about format (lists, tables, callouts, quotes) at each step. Use when the user has a pile of notes, fragments, or a rough draft and wants help turning it into something publishable.

mattpocock/skills

Compact the current conversation into a handoff document for another agent to pick up.

Shubhamsaboo/awesome-llm-apps

Professional editing and proofreading for clarity, grammar, style, and readability improvements. Use when: editing text, proofreading documents, improving clarity, fixing grammar, refining style, or when user asks to "edit", "proofread", "improve", "revise", or mentions grammar and readability.

document-release

garrytan/gstack

Post-ship documentation update. (gstack)

garrytan/gstack

Turn any markdown file into a publication-quality PDF. (gstack)

awesome-mac-maintainer

jaywcjlove/awesome-mac

Maintain the Awesome Mac repository when adding, updating, or relocating app entries across README.md, README-zh.md, README-ja.md, and README-ko.md. Use this when the task requires category selection, multilingual sync, concise listing copy, ordering consistency, or repository-specific curation rules.

changelog-collect

ant-design/ant-design

收集 ant-design 两个版本之间的 PR 信息并整理 changelog 草稿，更新到 CHANGELOG.zh-CN.md 和 CHANGELOG.en-US.md 时使用。适用于收集 changelog、生成 changelog、更新 changelog、版本对比等场景。

Update the title and body of one or more pull requests.

paddleocr-doc-parsing

PaddlePaddle/PaddleOCR

Use this skill to extract structured Markdown/JSON from PDFs and document images—tables with cell-level precision, formulas as LaTeX, figures, seals, charts, headers/footers, multi-column layout and correct reading order. Trigger terms: 文档解析, 版面分析, 版面还原, 表格提取, 公式识别, 多栏排版, 扫描件结构化, 发票, 财报, 复杂 PDF, PDF转Markdown, 图表, 阅读顺序; reading order, formula, LaTeX, layout parsing, structure extraction, PP-StructureV3, PaddleOCR-VL.

paddleocr-text-recognition

PaddlePaddle/PaddleOCR

Use this skill whenever the user wants text extracted from images, photos, scans, screenshots, or scanned PDFs. Returns exact machine-readable strings with line-level text and optional bbox coordinates. Strong accuracy for CJK, small print, and handwritten text. Trigger terms: OCR, 文字识别, 图片转文字, 截图识字, 提取图中文字, 扫描识字, 识字, 纯文字, plain text extraction, 坐标, 检测框, bbox, bounding box, image to text, screenshot, photo scan, recognize text.

thedotmack/claude-mem

Turn one document into a kawaii NotebookLM slide-deck PDF. Use for "wowerpoint this", "make a deck about <file>", "turn this report into slides", or any request to render a single document as shareable narrative slides.

learn-site-structure

netdata/netdata

Authoritative reference for how docs in this repo (and 5 other Netdata-org repos) become published pages on `learn.netdata.cloud`. Covers the `<repo>/docs/.map/map.yaml` source-of-truth (the actual lever -- filesystem path is irrelevant for routing), the live `ingest/ingest.py` orchestrator in the learn repo (NOT the legacy `ingest.js`), frontmatter injection, slug rules, sidebar autogeneration, MDX escape rules, versioning, the 4-mechanism redirect stack, the 6 source repositories, the every-3-hours CI ingest, Netlify deploy, and the `part_of_learn=True` opt-in for files hand-authored in the learn repo. Use when adding/moving/renaming/deleting a docs page; when a page on Learn looks wrong; when wondering whether to edit a doc here or in the learn repo; when reading `ingest.py`, `sidebars.js`, `docusaurus.config.js`, `static.toml`, `LegacyLearnCorrelateLinksWithGHURLs.json`, `netlify.toml`, the `<!--startmeta` blocks in `.mdx` files, or the workflows `ingest.yml` and `daily-learn-link-check.yml`.

lobehub/lobehub

UI copy and microcopy guidelines. Use for user-facing copy, buttons, errors, empty states, onboarding, i18n wording, translation, or copy improvements in Chinese or English.

caveman-compress

JuliusBrussee/caveman

Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md. Trigger: /caveman-compress FILEPATH or "compress memory file"

caveman-compress

JuliusBrussee/caveman

Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md. Trigger: /caveman-compress FILEPATH or "compress memory file"

paperclipai/paperclip

Use when an operation issue asks you to ingest a captured source from `raw/` into the LLM Wiki, or when the user explicitly says "ingest <slug>". The issue body will name a file under `raw/` (e.g. `raw/karpathy-llm-wiki.md`) and ask for durable wiki pages. Do not invoke this skill for Paperclip activity bundles — those use `paperclip-distill` instead.

paperclip-converting-plans-to-tasks

paperclipai/paperclip

The Paperclip way of converting a plan into executable tasks. Use whenever you are asked to plan, scope, or break down work inside a Paperclip company. Industry-agnostic guidance on how to translate a plan into assigned issues with the right specialty, dependencies, and parallelization so Paperclip's executor can pick up the work — it does not prescribe a plan format. Pair with the `paperclip` skill, which covers the mechanics of writing the plan document and reassigning the issue.

microsoft/ai-agents-for-beginners

استعلام عن الوثائق الرسمية لشركة Microsoft للعثور على المفاهيم والدروس والأمثلة البرمجية عبر Azure و .NET و Agent Framework و Aspire و VS Code و GitHub والمزيد. يستخدم Microsoft Learn MCP كالإعداد الافتراضي، مع Context7 و Aspire MCP للمحتوى المتواجد خارج learn.microsoft.com.

microsoft/ai-agents-for-beginners

Abfrage der offiziellen Microsoft-Dokumentation, um Konzepte, Tutorials und Codebeispiele zu Azure, .NET, Agent Framework, Aspire, VS Code, GitHub und mehr zu finden. Verwendet Microsoft Learn MCP als Standard, mit Context7 und Aspire MCP für Inhalte, die außerhalb von learn.microsoft.com liegen.

microsoft/ai-agents-for-beginners

आधिकारिक Microsoft दस्तावेज़ों में क्वेरी करें ताकि Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, और अन्य के बारे में अवधारणाएँ, ट्यूटोरियल और कोड उदाहरण मिल सकें। डिफ़ॉल्ट रूप से Microsoft Learn MCP का उपयोग करता है, और उन सामग्रियों के लिए जो learn.microsoft.com के बाहर रहती हैं Context7 और Aspire MCP का उपयोग करता है।

microsoft/ai-agents-for-beginners

Pretražuje službenu Microsoftovu dokumentaciju kako bi pronašao koncepte, vodiče i primjere koda za Azure, .NET, Agent Framework, Aspire, VS Code, GitHub i još mnogo toga. Koristi Microsoft Learn MCP kao zadano, te Context7 i Aspire MCP za sadržaj koji se nalazi izvan learn.microsoft.com.

microsoft/ai-agents-for-beginners

Hivatalos Microsoft-dokumentáció lekérdezése a fogalmak, oktatóanyagok és kódpéldák megtalálásához az Azure, .NET, Agent Framework, Aspire, VS Code, GitHub és még sok más területén. Alapértelmezettként a Microsoft Learn MCP-t használja, a learn.microsoft.com-on kívül található tartalmak esetén pedig a Context7-et és az Aspire MCP-t.

microsoft/ai-agents-for-beginners

Menelusuri dokumentasi resmi Microsoft untuk menemukan konsep, tutorial, dan contoh kode di seluruh Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, dan lainnya. Menggunakan Microsoft Learn MCP sebagai default, dengan Context7 dan Aspire MCP untuk konten yang berada di luar learn.microsoft.com.

microsoft/ai-agents-for-beginners

ស្វែងរកឯកសារផ្លូវការរបស់ Microsoft ដើម្បីរកមើល គំនិត មេរៀន និងឧទាហរណ៍កូដ នៅលើ Azure, .NET, Agent Framework, Aspire, VS Code, GitHub និងផ្សេងទៀត។ ប្រើ Microsoft Learn MCP ជាលំនាំដើម ហើយប្រើ Context7 និង Aspire MCP សម្រាប់មាតិកាដែលស្ថិតនៅខាងក្រៅ learn.microsoft.com។

microsoft/ai-agents-for-beginners

공식 Microsoft 문서를 조회하여 Azure, .NET, Agent Framework, Aspire, VS Code, GitHub 등 다양한 분야의 개념, 튜토리얼 및 코드 예제를 찾습니다. 기본적으로 Microsoft Learn MCP를 사용하며, learn.microsoft.com 외부에 있는 콘텐츠에 대해서는 Context7 및 Aspire MCP를 사용합니다.

microsoft/ai-agents-for-beginners

आधिकारिक Microsoft दस्तावेजहरूमा सोधपुछ गरेर Azure, .NET, Agent Framework, Aspire, VS Code, GitHub र अन्य थुप्रै क्षेत्रमा लाग्ने अवधारणाहरू, ट्युटोरियलहरू र कोड उदाहरणहरू फेला पार्नुहोस्। डिफल्ट रूपमा Microsoft Learn MCP प्रयोग गरिन्छ, र learn.microsoft.com बाहिर रहेका सामग्रीका लागि Context7 र Aspire MCP प्रयोग गरिन्छ।

microsoft/ai-agents-for-beginners

ค้นหาเอกสารอย่างเป็นทางการของ Microsoft เพื่อค้นหาแนวคิด บทแนะนำ และตัวอย่างโค้ดสำหรับ Azure, .NET, Agent Framework, Aspire, VS Code, GitHub และอื่นๆ ใช้ Microsoft Learn MCP เป็นค่าเริ่มต้น โดยใช้ Context7 และ Aspire MCP สำหรับเนื้อหาที่อยู่นอก learn.microsoft.com.