2 226 document skills from 443 authors. They read and assemble documents, spreadsheets and slide decks. Half of them fit into 1 834 tokens or less — that is what one costs your context window when the agent loads it. 567 ship runnable scripts rather than instructions alone. 24 of them cannot work without an MCP server, most often rube. We also found 384 copies of these same skills sitting in other people's repositories — counted once here, not 384 times.
2 226 unique 443 authors 1 278 updated this month 156 from vendors
Use when creating or editing documents (DOCX, PDF, XLSX, PPTX) that need professional output. Adds visual verification, typography hygiene, and formula patterns to the document-skills plugin.
Use when adding/editing/querying content in an existing Obsidian vault, configuring plugins, integrating Claude Code with Obsidian via Local REST API or CLI, automating ongoing capture/organization/retrieval, designing a personal knowledge management workflow, OR building academic study vaults (course prep, exam-ready, mock-exam content — the durable academic-study patterns from a deprecated companion skill have been folded into this one).
Use when creating or editing documents (DOCX, PDF, XLSX, PPTX) that need professional output. Adds visual verification, typography hygiene, and formula patterns.
Translate structured documents (DOCX) to RTL languages (Arabic, Hebrew, Urdu) while preserving exact formatting, table structures, colors, and layouts. Handles quote normalization, multi-pass translation matching, and RTL-specific formatting patterns.
Advanced python-docx patterns for nested tables, complex cells, and content extraction beyond .text property. Techniques for forms, checklists, and complex layouts.
Fill DOCX template forms preserving 100% original structure - logos, footers, styles, metadata. Zero-artifact insertion. Output indistinguishable from manual entry.
Translate DOCX to RTL languages (Arabic, Hebrew, Urdu) preserving exact formatting, tables, colors, layouts. Handles quote normalization and multi-pass matching.
Use when user requests diagrams, flowcharts, sequence diagrams, class diagrams, component diagrams, ER diagrams, architecture charts, or visualizations — including generating a diagram from existing source code, or rendering/extracting PlantUML embedded in a Markdown file to images (e.g. preparing docs for Confluence/Notion). Also use proactively when explaining systems with 3+ components, APIs, data flows, or class hierarchies. Generates .puml files and exports to PNG/SVG via Kroki API (no local install required).
文档专家。专注于技术文档编写、API 文档生成、README 优化和文档维护。提供清晰的文档结构、规范的格式和用户友好的内容。
Create and modify Frappe DocTypes including schema design, controllers, child tables, and customization. Use when building data models, adding fields, or implementing document lifecycle logic.
制作新 PPT、演示文稿、幻灯片、汇报材料,或在“其余不变”的前提下修改已有大师 PPT 时使用。基于预置视觉主题组合页面,生成可离线打开、可在浏览器编辑的 HTML 演示,支持导出 PPTX / PDF 文件。
当用户想把 HTML 幻灯片转成 .pptx 时触发——"HTML 转 PPT"、"网页幻灯片转 pptx"、"把这个 deck 转成 ppt"、"给同事一份 ppt 副本"、"汇报不方便放浏览器"、给了 .html 路径 + 提到 ppt/pptx/演示/幻灯片。保留矢量文字可编辑、字体按需嵌入、复杂装饰自动走截图兜底；不依赖 reveal.js / 自写 deck 等具体框架。
| 产品文档实时预览 - 在浏览器中预览 docs/ 下的所有 MD 文档，文档更新时自动刷新
> Synthesizes research notes and documents to surface cross-cutting themes, unexpected connections, and high-level insights not visible in individual pieces. Use when the user asks for an overview, thematic analysis, synthesis across notes, or to find patterns in their research collection.
> Generates falsifiable, testable research hypotheses from notes, documents, and research content. Use when the user asks to brainstorm hypotheses, generate research questions, identify testable predictions, or discover patterns across their notes. Do NOT use for general Q&A — only when structured hypothesis output is needed.
> Organizes research notes into a structured wiki knowledge base with wikilinks ([[slug]] syntax), cross-references, and an auto-generated index. Use when the user asks to build a wiki, organize notes into a knowledge base, create an index, or sync notes into a structured format.
Convert entire PDF documents to clean, structured Markdown for full context loading. Use this skill when the user wants to extract ALL text from a PDF into context (not grep/search), when discussing or analyzing PDF content in full, when the user mentions "load the whole PDF", "bring the PDF into context", "read the entire PDF", or when partial extraction/grepping would miss important context. This is the preferred method for PDF text extraction over page-by-page or grep approaches.
DOCX 整理助手适合运营、产品、市场营销、technical在用户提出“DOCX 重点是什么”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
HR 专业助手适合人力资源、manager、运营、software在用户提出“HR 文档怎么更稳”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成转化问题诊断、文案和结构建议、实验清单。
PDF 整理助手适合运营、产品、市场营销、technical在用户提出“PDF 重点是什么”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
PPT 诊断助手适合运营、产品、市场营销、technical在用户提出“PPT 讲清了吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
风险审阅助手适合technical、管理者、software、API文档在用户提出“这里有什么风险”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
文案诊断助手适合technical、管理者、software、知识库在用户提出“这段文案能打动人吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
Extract and organize Claude Code session history into project .chats directory. Use when users want to document their Claude sessions, export conversation inputs, or maintain a log of instructions given to Claude.
Expert SurrealDB developer specializing in multi-model database design, graph relations, document storage, SurrealQL queries, row-level security, and real-time subscriptions. Use when building SurrealDB applications, designing graph schemas, implementing secure data access patterns, or optimizing query performance.
使用 Scrapling + html2text 从 URL 抓取可读正文（含图片），按优先级选择器提取并按字符数截断；随后自动写入飞书文档并返回文档链接。适用于用户发送文章/博客/新闻链接（尤其是微信公众号 mp.weixin.qq.com）并希望快速验收正文内容的场景。
Create operational runbooks and standard operating procedures. Document troubleshooting guides and recovery procedures. Use when documenting operational knowledge.
Produces consulting-grade client deliverables (written reports and executive presentations) built on structured narrative (SCQA/SCR), the pyramid principle, action-titled sections, and evidence-backed recommendations. Use when creating strategic assessments, board decks, due diligence reports, PE investment committee (IC) memos, steering committee updates, recommendation documents, or any formal analysis that must drive an executive decision. Covers storylining, audience adaptation, exhibit design, and the choice between a document and a deck.
Conduct deep adaptive interviews to extract and organize knowledge into structured files and folders. Use when user says "interview me about X", "deep interview", "extract my knowledge", "build knowledge base from interview", "ask me questions about X", or wants to systematically capture expertise on any topic through guided questioning.
Convert HTML to PDF with pixel-perfect rendering and excellent Hebrew/RTL support. Use when the user asks to 'convert HTML to PDF', 'generate PDF from HTML', 'create PDF from webpage', 'export to PDF', or needs PDF generation with Hebrew text support.
Build interactive, click-through architecture diagrams for software systems — a self-contained single HTML file with animated step-by-step flows, mode toggles (dev/prod, offline/online, v1/v2), dark/light theme, and a side panel with payload details, plus a companion markdown description. Use when the user wants to visualize or design a system: architecture diagram, service map, data flow, RAG/agentic flow, microservices topology, integration diagram, CI/CD or data/ETL pipeline, multi-agent system, or onboarding diagram — or to design a new service's flows before building. Natural-language triggers: 'I'm building X, what should the flow look like', 'pokaż jak działa system', 'diagram architektury', 'wizualizacja systemu', 'klikany diagram'. Do NOT use for static diagrams that belong inline (Mermaid/PlantUML), slide decks, or printable/PDF handouts — this produces interactive HTML for browser consumption.
Analyze specialized file types beyond standard PE executables - .NET assemblies, Office macros, PDFs, PowerShell scripts, JavaScript, archives, HTA files, disk images (ISO/IMG/VHD/VHDX), and Linux ELF binaries. Use when you encounter documents, scripts, disk images, or non-Windows executables that require format-specific analysis tools and techniques.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.
Notion workspace entegrasyonu - bilgi yönetimi, toplantı hazırlığı, araştırma dokümantasyonu ve spec-to-implementation workflow'ları.
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.
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
> Activates evidence-grounded behavioral constraints that minimize hallucination. Use this skill when the user invokes /factual-mode, or when they ask for "factual mode", "grounded mode", "no guessing", "only use what's in front of you", "don't hallucinate", "stick to the facts", "evidence-based only", or any variation requesting that the assistant restrict itself to verifiable claims. Also appropriate when the user is about to analyze documents, audit code, review contracts, or perform any task where accuracy matters more than creativity.
Generate keyboard-navigable HTML slideshow decks for presentations, tech talks, leadership briefings, onboarding walkthroughs, and any sequential visual narrative. Use whenever the user wants slides, a deck, a presentation, a tech talk, a brown-bag, a briefing, or any sequential walkthrough — especially when they want to share via a link rather than as a PowerPoint or Keynote file. Prefer HTML over .pptx whenever the deck contains live code, embedded interactivity, or will be shared as a URL.
Generates meeting briefings by aggregating account info, contacts, opportunities, cases, and activity history into structured prep documents with talking points and discovery questions. Use when user says "prep me for my call", "brief me on this account", "meeting prep", "I have a meeting with [company]", "account briefing", "customer briefing", or "prepare for customer meeting".
Generates customized sales assets including one-pagers, proposals, executive summaries, ROI summaries, and mutual action plans from Dataverse context. Use when user says "create a one-pager", "draft a proposal", "generate executive summary", "build ROI summary", "create mutual action plan", "sales asset for [account]", "proposal outline", or "customer-facing document".
Based on the Recursive Language Models (RLM) research by Zhang, Kraska, and Khattab (2025), this skill provides strategies for handling tasks that exceed comfortable context limits through programmatic decomposition and recursive self-invocation. Triggers on phrases like "analyze all files", "process this large document", "aggregate information from", "search across the codebase", or tasks involving 10+ files or 50k+ tokens.
深度解析 AI 论文，生成可直接发布的专业阅读笔记
Preview Convex spend — rank functions by bytes/documents-read × call-volume from insights, project each cost driver's growth curve, name the cheapest fix; confirm-cost for paid actions.
Use this skill whenever the user says "assess this use case", "score my AI use case", "prioritise these agent ideas", "generate a use case assessment report", or "update my AI use case report" — or when they attach a use-case document, SDR, or prior `*_AI_UseCase_Assessment_Report_*.html` and ask you to assess, strengthen, score, or refresh it. Invoke BEFORE writing any assessment content and BEFORE generating any report.
>- Use this skill whenever the user wants to inspect, understand, snapshot, compare, or document the capabilities of the current agent harness — for example "what can this harness do?", "which Python libraries are installed?", "what should I use to create Word documents?", "capture/remember a snapshot", "compare with my baseline", or "what changed since last week?". Prefer this skill BEFORE guessing what the runtime supports.
>- Use this skill whenever the user wants values written INTO an existing PDF form that lives in the connected SharePoint knowledge source — filling out, completing, populating, or submitting a fillable PDF (application, intake sheet, contract, government form) from data they supply, a spreadsheet row, or the conversation. Triggers include "fill out the job application form", "complete the intake form for [person]", "populate our standard NDA template", and "make this ready to send / non-editable" (flatten). The source form should be found via knowledge search; only ask the user to upload it if knowledge search turns up nothing plausible. different task), and do NOT use it on scanned/image-only PDFs that have no real fillable fields — those need OCR or manual overlay instead, which this skill explicitly detects and reports rather than silently failing.