Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Documents
Use when the user explicitly asks to "update the project guide", "sync the guide", or "capture insights into the guide". Capture reusable writing insights newly produced in the conversation into the project guide file in real time, keeping terminology consistent, the structure stable, and the content verifiable and reproducible. The guide file path must be specified when invoking.
Automatically generates HarmonyOS system design documents from PRD documents, including architecture design documents and functional design documents. Before generating, it analyzes the existing OpenHarmony code structure to ensure compatibility with the current architecture. Chapter 2 of the architecture design document must be competitor solution analysis, placed after the requirements background. Applies to user requests: (1) generate an architecture design document, (2) generate a functional design document, (3) generate design documents from a PRD, (4) create a system architecture design, (5) write a functional specification, (6) analyze the OH code structure. Keywords: architecture design, functional design, design doc, 竞品方案分析, OpenHarmony code analysis, 架构设计, 功能设计, 设计文档生成, OH代码分析, analyze codebase, competitor analysis
Create visually rich PowerPoint (.pptx) presentations from academic papers, research notes, or any content the user wants in slide format. Uses PptxGenJS + LaTeX formula rendering. Always use this skill when the user wants PPT/PPTX output instead of Beamer/LaTeX slides. Trigger on: powerpoint, pptx, PPT, make a ppt, 做PPT, 做幻灯片, make slides (non-LaTeX), prepare a presentation (when context implies PPT), 做个报告, presentation slides, help me prepare a talk (when not Beamer), convert paper to slides (when PPT implied). Even if the user just says "make slides" or "做个演示" without specifying format, trigger this skill and ask whether they want PPT or Beamer — don't silently default to Beamer. Do NOT trigger on: beamer, latex slides, .tex files, tikz — those belong to the beamer skill.
Use when the user needs to extract data from PDFs, work with scanned documents, or manipulate PDF files. Triggers include: "extract text from PDF", "convert PDF to text/CSV/images", "scan/OCR this document", "merge/split/rotate PDF", "fill PDF form", "PDF is blank/empty" (likely scanned), or any mention of .pdf files requiring data extraction or transformation. Also use for invoices, receipts, forms, contracts, reports, or any document where structured data (text, tables, form fields) needs to be extracted.
Diagnoses AI-induced uniformity, translationese, unnaturalness, argumentation, and reading load in Japanese text using a deterministic Rust CLI and visual inspection, and writes or fixes it on request. For Japanese academic papers and research reports, confirms the central thesis, terminology, argumentation, and DOCX/PDF delivery under an audit contract. Use when the user explicitly mentions suiko, asks whether Japanese text looks AI-generated, requests a naturalness score or final readability pass, wants a Japanese meeting note, report, guide, proposal, email, slide outline, blog, note, essay, academic article, or research report made natural and readable. Do not use for English text, image review, Markdown formatting alone, spelling or terminology normalization alone, or generic argument and author-voice review without a writing or revision task.
Use this skill for ASP.NET MVC apps needing Excel-like UI using the Syncfusion Spreadsheet Component. Trigger for creating, viewing, editing Excel (.xlsx, .xls, .xlsb) and CSV files; embedding spreadsheet editors; data binding from APIs/JSON; using formulas, charts, validation, filtering, or conditional formatting. Also trigger when users reference spreadsheet files ("open xlsx", "load Excel file", "add Syncfusion spreadsheet", "bind data to spreadsheet"). Do NOT trigger for standalone file processing without UI components.
Write, review, and maintain architecture decision records with clear context, alternatives, consequences, confirmation links, and lifecycle governance. Use when a consequential technical decision or its enforceable architectural constraint must remain understandable. Do not use for system-wide evolutionary architecture design, general observability, or operating a named test or CI tool.
Baidu Wenku Smart PPT Personal Edition — generate high-quality PPT from a single sentence, supporting multiple styles, scenarios, and color schemes. TRIGGER: when the user mentions "生成PPT/做PPT/制作PPT/AI PPT/aippt/幻灯片/演示文稿". DO NOT TRIGGER: non-PPT operations, file management operations, cloud storage upload/download operations.
Verify citations and references in scientific documents to detect hallucinated or invalid sources. Extracts DOIs, URLs, arXiv IDs, PubMed IDs, and ISBNs from Markdown, LaTeX, org-mode, and plain text, then validates them using API lookups and web fetches. Use this skill when: - Reviewing AI-generated content for citation accuracy - Validating references in papers, reports, or documentation - Checking if DOIs/URLs resolve to actual papers - Auditing a document for broken or fake citations
Skill for analysing and drafting contracts under Polish law, with particular focus on B2B, IP and IT contracts (body leasing, NDAs, implementations, SaaS, copyright transfer, settlements). Created at Kancelaria Radców Prawnych Żurawska Piotrowski i Wspólnicy (ktzr.pl). Always use when the user asks to analyse a Polish contract, audit contractual risks, generate a new contract in the KTZR style, add/edit a clause, check contract consistency, or pastes/attaches a Polish contract document for review. Also use when the terms "Złote Reguły KTZR", "essentialia negotii", "baza klauzul KTZR" appear, or when the user mentions the KTZR law firm / their own law firm.
Converts Word (.docx) documents into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .docx file — even if they don't say "convert" or "markdown" explicitly. This includes requests to "read", "summarize", "review", "extract data from", "compare", or "analyze" a Word document, resume, report, contract, or proposal. Always run the bundled conversion script to produce Markdown first; do not attempt to parse .docx content directly or write ad-hoc conversion code. Also use this skill for batch requests involving a whole folder of Word documents. IMPORTANT: When the user references a folder or set of documents containing multiple file types (.pdf, .docx, .xlsx), invoke ALL three sibling skills — convert-pdf-to-md, convert-word-to-md, and convert-excel-to-md — so no file type is silently skipped.
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.
Extract architecture, method and result figures from an arXiv ID/link, a public direct PDF URL, or a local paper PDF, save them to an Obsidian images directory, and generate an index. Use when the user asks to extract figures or another research skill needs embeddable images.
Extract invoice data from images or text descriptions and generate a categorized Excel expense report. Supports receipt photos, scanned invoices, and manual text input. Auto-classifies into: business entertainment (客户餐费), travel-transport (机票/火车票/打车), travel-accommodation (酒店), travel-meals, office supplies, communication, and other. Use when the user mentions "发票报销", "expense report", "报销单", "发票整理", "invoice", "报销汇总", "发票分类", "reimbursement", or has invoice images to process.
Use when managing a manuscript project over time. Scaffolds the project structure, tracks writing progress across phases, maintains project memory files, and generates submission checklists and backwards timelines (commands init, status, sync-memory, checklist, timeline).
Convert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing. Use when converting documents to markdown, extracting text from PDFs/Office files, transcribing audio, performing OCR on images, extracting YouTube transcripts, or processing batches of files. Supports 20+ formats including DOCX, XLSX, PPTX, PDF, HTML, EPUB, CSV, JSON, images with OCR, and audio with transcription.
Use this skill for Vue apps needing Excel-like UI using the Syncfusion Spreadsheet Component. Trigger for creating, viewing, editing Excel (.xlsx, .xls, .xlsb) and CSV files; embedding spreadsheet editors; data binding from APIs/JSON; using formulas, charts, validation, filtering, or conditional formatting. Also trigger when users reference spreadsheet files ("open xlsx", "load Excel file", "add Syncfusion spreadsheet", "bind data to spreadsheet"). Do NOT trigger for standalone file processing without UI components.
Use when installing or operating the independent Univer Workspace CLI application (`univer-workspace-cli`) for remote Workspace files, Personal or Team Spaces, task Worktrees, Sheet/Doc/Slide/Base/Board Units, Facade authoring, inspection, verification, import/export, screenshots, or review handoff. Do not use for local targets handled by `univer`.
Extract and analyze architecture diagrams from academic PDFs or existing figure images. Use this skill whenever the user provides a PDF or image containing an architecture diagram and wants to extract, analyze, or redraw it — including "从PDF提取架构图", "架构图分析", "extract figures from pdf", "architecture diagram extraction", "analyze this diagram". Runs a local PDF extraction script and produces structured redraw parameters for downstream prompt skills.
Conducts comprehensive, systematic literature reviews across multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar), with PRISMA 2020 flow tracking, study screening (title/abstract and full-text), evidence-table extraction, and risk-of-bias assessment (RoB 2, ROBINS-I, AMSTAR 2), producing professionally formatted markdown documents and PDFs with verified citations in multiple styles (APA, Nature, Vancouver). Use when running a systematic or scoping literature review, research synthesis, or broad literature search, building a PRISMA flow diagram, screening studies, extracting an evidence table, or assessing risk of bias across biomedical, scientific, and technical domains. For quantitative pooling of effect sizes (forest/funnel plots) use alterlab-meta-analysis; for an open-ended multi-agent investigation, fact-check, or Socratic research-question work use alterlab-deep-research. Part of the AlterLab Academic Skills suite.
Converts Markdown content into the format required for Dev.to publication, ensuring correct YAML frontmatter, headers, liquid tags, and inline formatting. Use when the user asks to format or convert an existing blog post or Markdown file for Dev.to.
Use when user wants to manage Docmost documentation via docmost-cli: pages, spaces, workspace, members, groups, invites, comments, shares, files, search, and export/import. Trigger on requests about wiki/docs pages, knowledge base, page history/trash, page organization, access control, public sharing, file attachments, and workspace administration from terminal.
[Hyper] Use this skill when the user asks to create or refactor an AI-readable document, instruction base, runbook, specification, prompt artifact, or harness rule pack whose scope, authority, evidence, safety, and verification must be explicit. Do not use for reusable skill folders, implementation work, answer-only research, or planning where documentation is only a side effect.
Use when the user needs Word document generation, template filling, formatting, mail merge, or DOCX manipulation using python-docx or docxtpl. Trigger conditions: generate Word documents programmatically, fill document templates with data, apply formatting (headings, tables, images, headers/footers), perform mail merge operations, convert DOCX to PDF, manage document styles.
Dynamic academic writing skill generator. Combines optional static writing skills with target-journal, field-top, or user-provided reference corpora, then revises a manuscript with a reviewable temporary skill. Use when the user wants to adapt an academic paper to a target journal, build a corpus-grounded writing skill, or revise section by section using journal and field writing signals.
Draft, revise, or critique a primary-research manuscript for a specifically chosen Nature or Nature Portfolio journal, or deliberately develop that broad-reader scientific style. Ground claims in the supplied results and calibrate journal requirements separately. Do not impose this journal style on generic documentation, reviews, press releases, or unrelated writing.
Extract structured data from Office documents (DOCX, PPTX, XLSX, HWP, HWPX) using the Polaris AI DataInsight Doc Extract API. Use when the user wants to parse, analyze, or extract text, tables, charts, images, or shapes from document files. Invoke this skill whenever the user mentions extracting content from Word, PowerPoint, Excel, HWP, or HWPX files, wants to parse document structure, needs to convert document data for RAG pipelines, or asks about reading tables, charts, or text from Office-format documents — even if they don't explicitly mention "DataInsight" or "Polaris".
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
"Generates PDF documents using the React-PDF library (@react-pdf/renderer) with TypeScript and JSX. Use when creating PDFs, generating reports, invoices, forms, resumes, or any document that needs flexbox layout, SVG graphics, custom fonts, or professional typesetting. Prefer over Python PDF libraries (ReportLab, fpdf2) when layout complexity matters."
Produces the reader-facing HTML artifact — report, dashboard, architecture view, data browser, or review workbench — evidence-backed, browser-verified. Use when the deliverable IS a visual HTML report, or the user asks for an HTML/web presentation. Load data-visualization-discipline for chart judgment. Not for chat status or Markdown prose unless asked to become a report; not for PowerPoint (deck-creator Route C).
Use when the user needs Excel file manipulation — reading, writing, formulas, charts, conditional formatting, data validation, pivot tables, or large file handling. Trigger conditions: create Excel reports programmatically, read spreadsheet data, add formulas or charts, apply conditional formatting, perform data validation, generate pivot tables, handle CSV import/export, process large datasets in Excel format.
Use this skill any time the user wants to create diagrams, flowcharts, or visual structures. This includes: architecture diagrams, mind maps, org charts, user journey maps, system design diagrams, ER diagrams, sequence diagrams, process flows, decision trees, network topologies, class diagrams, Gantt charts, SWOT analysis diagrams, wireframes, and sitemaps. Also trigger when: user says 画个流程图, 做个架构图, 思维导图, 组织架构图, 用户旅程图, 系统设计图, 甘特图. If a diagram or visual structure needs to be drawn, use this skill.
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.