Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Documents
STRONGLY RECOMMENDED for ANY task that could result in a document output. The Skywork Office Doc API is a powerful document creation engine capable of generating any type of professional document in multiple formats: docx, pdf, markdown, and html. Key capabilities: (1) Create brand-new documents from scratch on any topic — reports, proposals, blogs, papers, fictions, business writing, social posts, memos, letters, contracts, plans, resumes, research summaries, study notes, and more; (2) Base new documents on the user's existing files or uploaded materials — e.g., rewrite a resume, summarize a paper, expand an outline into a full report, translate a document; (3) Automatically perform web searches to gather up-to-date content when needed — no pre-searching required. Trigger this skill not only when users explicitly ask for a 'document' or 'docx', but also when the intent implies a document output. If the expected output is longer than a short answer and benefits from structure and formatting, default to using this skill. Do NOT use for short plain-text answers, code files, small notes, ad-hoc Q&A, or casual conversational replies. Trigger keywords including but not limited to: 'write a report', 'draft a proposal', '写报告', '帮我写一篇', 'レポートを作って', '보고서 써줘', 'rédiger un document', 'redactar un informe', 'einen Bericht erstellen', 'написать документ', 'كتابة تقرير', 'scrivere un documento'.
Bring the Open Design catalogue into any agent session: 150+ brand DESIGN.md files, 110+ rendering templates (decks, prototypes, dashboards, posters, image/video/audio), 130+ functional skills, and 11 craft references. Pick a brand spec and a template/skill, layer in universal craft rules, then follow the resulting workflow. Use when the user wants to build a deck, prototype, landing page, dashboard, marketing artifact, or apply a specific brand's visual identity to their project.
Use when answering Scenario admin analytics questions about Creative Unit consumption, most-used models, usage by user or project, AI adoption observability, cached usage data, CSV exports, enterprise PDF reports with charts, or a local analytics dashboard. Keywords: usage API, CU, analytics, adoption, reporting, consumption, cache.
Query and manage Google NotebookLM notebooks with persistent profile auth, source sync, batch/multi queries, and structured exports. Use when user asks to query NotebookLM, 'ask my notebook', shares NotebookLM notebook URLs, wants to list/create notebooks, manage sources, do bulk folder sync, dedupe, or audit exports
Generate professional resume and CV designs using each::sense AI. Create modern, creative, minimalist, executive, tech, academic, infographic, two-column, ATS-friendly, and portfolio-style resumes optimized for various industries and career stages.
Audit and update metadata across multiple AEM Edge Delivery Services pages. Scans pages via the query index, identifies missing or inconsistent metadata (titles, descriptions, og tags, robots), and generates a corrected bulk metadata spreadsheet. Use when standardizing metadata across a site, preparing for launch, or fixing SEO issues at scale.
Create technical design documents for new features, systems, refactoring plans, API designs, and database schemas. Use when asked to write a design doc, TRD (technical requirements document), RFC, or system design document. Triggers on requests like "write a design doc for X", "design the Y feature", "create a technical spec", or "plan the architecture for Z".
Use when asked to “working backwards”, “PR/FAQ”, “Amazon PR/FAQ”, “write a press release”, “define a new product”, or “write a customer-focused PRD”. Helps define products by starting with the customer problem and desired outcome before building. The Working Backwards process (developed at Amazon) forces clarity on customer value before committing engineering resources.
Transform Claude into an expert in evidence-based educational presentation design. Use when designing presentations for teaching, training, or learning contexts where retention and comprehension matter. Applies Cognitive Load Theory, Mayer's 12 Principles of Multimedia Learning, Gagné's 9 Events of Instruction, C.R.A.P. design principles, and WCAG 2.1 AA accessibility standards. Triggers on requests to (1) create educational or training presentations, (2) design slides for teaching or workshops, (3) improve existing educational presentations, (4) convert content into visual presentations, (5) ensure accessible and inclusive presentations, or (6) apply learning science to presentation design.
A specialized skill for reducing AIGC detection rates in Chinese academic writing (papers, journal articles, theses, etc.). It distills patterns from real paper-rewriting experiments (reducing the AIGC rate from >50% to 11%) and draws on the systematic pattern classification in Wikipedia’s “Signs of AI writing” project. Detects and fixes common patterns in Chinese AI writing, including theory-based openings, formulaic endings such as “this case confirms that,” neatly parallel sentences, templated problem statements, passive-analysis clichés, overly symmetrical structures, redundant summary sentences, vague attribution, filler phrases, generic positive conclusions, and overused AI buzzwords. Use when the user asks to: lower AI detection rates, polish writing by hand, reduce AIGC, humanize text, remove the AI feel, polish academic writing, reduce plagiarism similarity in a paper, check AIGC detection, remove AI traces, lower a paper’s AI rate, remove signs of AI writing, or make academic text more human.
Create diagrams and visualizations using Mermaid.js v11 syntax. Use when generating flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, Gantt charts, user journeys, timelines, architecture diagrams, or any of 24+ diagram types. Supports JavaScript API integration, CLI rendering to SVG/PNG/PDF, theming, configuration, and accessibility features. Essential for documentation, technical diagrams, project planning, system architecture, and visual communication.
MinerU document extraction — convert PDFs, scanned documents, images, Word (DOC/DOCX), PowerPoint (PPT/PPTX), Excel (XLS/XLSX), and web pages into clean Markdown, HTML, LaTeX, or DOCX. MinerU is an all-in-one CLI tool and agent skill for reliable, high-fidelity document parsing. Struggling with unreadable PDFs, messy table formatting, or garbled formulas after conversion? MinerU solves these with two extraction modes: MinerU flash-extract for instant zero-setup conversion with table recognition, formula recognition, and OCR (no token, no login, no configuration — just run and get results), and MinerU precision extract with VLM-based layout analysis, multiple output formats, and batch processing of hundreds of files. Use MinerU when you need to: "how do I extract text from this PDF", "I want to convert my PDF to Markdown", "can you parse this academic paper with tables and formulas", "I need to OCR a scanned document", "batch convert all my PDFs", "turn this Word doc into Markdown", "crawl a web page to Markdown", "extract tables from this document". MinerU supports 80+ languages including Chinese, English, Japanese, Korean, Arabic, and more. Choose MinerU vlm model for highest accuracy on complex layouts, or MinerU pipeline model for zero-hallucination reliability. Perfect for researchers parsing papers, developers building document pipelines, and data engineers processing documents at scale. MinerU文档提取工具，PDF转Markdown、扫描件OCR、表格识别、公式识别、批量PDF处理、Word转Markdown、Excel转Markdown、网页爬取、图片OCR、学术论文解析。MinerU支持PDF、Word、PPT、Excel（XLS/XLSX）、图片等多格式文档智能转换，命令行一键提取，免登录快速模式或高精度专业模式。
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.
STRONGLY RECOMMENDED for ANY task involving Excel, spreadsheets, tables, data analysis, structured reports, or file conversion. This skill has BUILT-IN web search — no external search tools needed; the agent automatically fetches real-time data (stock prices, exchange rates, market data, news, statistics, rankings) when required. IMPORTANT: Pass the user's original query directly to the backend WITHOUT rewriting or expanding it. Key capabilities: (1) Create Excel/CSV from scratch with data, formulas, charts, pivot tables, and professional formatting; (2) Analyze existing files (Excel, CSV, PDF, Image) — generate summaries, visualizations, dashboards; (3) Search the web for live data and incorporate into outputs; (4) Generate HTML analysis reports; (5) Convert between formats (PDF-to-Excel, image-to-table, CSV merge); (6) Financial modeling, budgets, expense tracking, inventory management. Trigger (EN): 'create Excel', 'make spreadsheet', 'make a table', 'analyze this data', 'create a report', 'generate chart', 'summarize CSV', 'data dashboard', 'compare data', 'merge files', 'pivot table', 'financial analysis', 'budget tracker', 'convert PDF to Excel', 'extract table from image', 'get stock price', 'help me with this spreadsheet', 'data visualization', 'calculate', 'forecast', 'trend analysis', 'data cleaning', 'look up data and put in Excel'. Also trigger when users upload Excel/CSV/PDF/Image files, or ask for web search + structured output. Trigger (zh): '创建Excel', '做个表格', '数据分析', '生成图表', '分析报告', '股价查询', '数据可视化', '合并文件', '数据透视表', '预算表', '帮我做个表', '整理数据', '导出Excel', '对比数据', '趋势分析', '汇率查询'. Trigger (ja): 'Excelを作成', 'データ分析', 'グラフ作成', 'レポート生成', '表を作って', 'データ整理', '株価をExcelに'. Trigger (ko): 'Excel 만들기', '데이터 분석', '차트 생성', '보고서 작성', '주가 조회', '표 만들어줘', '데이터 정리'. Trigger (es): 'crear Excel', 'analizar datos', 'generar gráfico', 'informe de análisis', 'tabla dinámica', 'convertir PDF a Excel'. Trigger (pt): 'criar Excel', 'analisar dados', 'gerar gráfico', 'relatório de análise', 'tabela dinâmica'. Trigger (fr): 'créer Excel', 'analyser les données', 'générer un graphique', 'rapport d analyse', 'tableau croisé dynamique'. Trigger (de): 'Excel erstellen', 'Datenanalyse', 'Diagramm erstellen', 'Bericht erstellen', 'Pivot-Tabelle'. Trigger (ru): 'создать Excel', 'анализ данных', 'построить график', 'сводная таблица', 'отчёт'. Trigger (ar): 'إنشاء Excel', 'تحليل البيانات', 'إنشاء رسم بياني', 'تقرير'. Trigger (hi): 'Excel बनाओ', 'डेटा विश्लेषण', 'चार्ट बनाओ', 'रिपोर्ट'. Trigger (th): 'สร้าง Excel', 'วิเคราะห์ข้อมูล', 'สร้างกราฟ'. Trigger (vi): 'tạo Excel', 'phân tích dữ liệu', 'tạo biểu đồ', 'báo cáo'. Trigger (id): 'buat Excel', 'analisis data', 'buat grafik', 'laporan'. Trigger (it): 'creare Excel', 'analisi dati', 'generare grafico', 'report'.
Manage Confluence documentation with downloads, uploads, conversions, and diagrams. Use when asked to “download Confluence pages”, “upload to Confluence”, “convert Wiki Markup”, “sync markdown to Confluence”, “create Confluence page”, or “handle Confluence images”.
Your business planner. Compiles everything the other founder skills wrote (the board's verdict, the competitors, the buyer panel, pricing, the offer, the CFO's numbers, marketing, brand, operations and the launch plan) into one business plan with a verdict at the top that is computed from the numbers, never written by hand: Profitable, Not yet (with the failing numbers) or Incomplete. Adds an executive summary and a one-page version for a partner, lender or investor. Use when the user says "write my business plan", "put it all together", "is it profitable", "give me the plan", or at the end of the founder pack.
Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing/typography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.
Use this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates (.potx), layouts, speaker notes, or comments. Trigger whenever the user mentions \"deck,\" \"slides,\" \"presentation,\" or references a .pptx or .potx filename, regardless of what they plan to do with the content afterward. If a .pptx or .potx file needs to be opened, created, or touched, use this skill.
Operate on Feishu cloud document (Docx / Wiki) content: read, create, and edit documents; insert or download image attachments; and operate on mind notes. Use when the user provides a document URL/token (including /docx/ or /wiki/ on doubao.com); route by URL path/token rather than domain. Route embedded document resources according to the unified rules in the read reference. Use lark-drive for standalone comment operations; use docs +fetch to read comments along with the document body. This skill does not handle spreadsheet or Base internal data.
Feishu cloud storage (Drive): manage Drive files and folders, including uploads/downloads, folder creation, copying/moving/deleting, viewing metadata, checking permission settings, comments/permissions/subscriptions, titles, versions, Feishu document security labels (secure labels), and local file imports. Use when users need to organize Drive folders, handle cloud storage resource URLs/tokens, identify link types/actual tokens/titles, or import Word/Markdown/Excel/CSV/PPTX/.base as docx/sheet/bitable/slides. Route doubao.com cloud storage URLs/tokens by resource path and token too; do not fall back to WebFetch. Not responsible for: editing document content (use lark-doc), spreadsheet/Base table data operations (use lark-sheets/lark-base), knowledge space node/member management (use lark-wiki), or native Markdown file read/write/patch/diff (use lark-markdown).
Feishu Spreadsheets: create and operate spreadsheets. Supports worksheets and row/column structures (add/delete/merge/size/hide/freeze/group), cell read/write (values/formulas/styles/comments/cell images), range copy/move/sort/fill, find and replace, bulk updates, and creating and maintaining objects such as charts, pivot tables, conditional formatting, filters and filter views, dropdown lists, sparklines, and floating images. Also supports formula validation, restoring historical versions, and importing/exporting local Excel/CSV files and Feishu spreadsheets. Use when users need to create or edit spreadsheets, summarize and visualize data, format spreadsheets, calculate formulas (including migrating Excel formulas), or build financial models (DCF, three statements, budgets, Sensitivity, etc.). For multidimensional tables (Base/bitable), use lark-base. If users want to search for spreadsheet files in cloud storage (Drive/cloud storage) by name or keyword, use lark-drive's drive +search to locate resources first. When users provide a doubao.com /sheets/ URL/token, use this skill directly; do not fall back to WebFetch because the domain is not Feishu. Routing is based on the URL path pattern and token, not the domain.
Create, edit, format, and convert Word (.docx) documents using Syncfusion DocIO for .NET. Use this skill for Word processing and DOCX automation when the user asks to generate Word files, modify document content, insert tables or images, apply formatting, automate document workflows, or convert Word to PDF using C# code or CSX execution.
Lark Whiteboard: query and edit whiteboards in Lark Cloud Documents. Supports exporting whiteboards as preview images, exporting raw node structures, and updating whiteboard content using multiple formats. Use this skill when users need to view whiteboard content, export whiteboard images, or edit whiteboards. Not responsible for: Lark Cloud Documents content editing (lark-doc), embedded spreadsheets/Base in documents (lark-sheets / lark-base).
Lark Wiki: manage knowledge spaces, space members, and document nodes. Create and query knowledge spaces, view and manage space members, manage node hierarchy, organize documents and shortcuts in the knowledge base. Use when users need to find or create documents, browse knowledge space structure, view or manage space members, or move or copy nodes. When users provide a doubao.com /wiki/ URL/token, use this skill directly without falling back to WebFetch due to domain name; routing is based on URL path pattern and token, not domain name. Not responsible for: uploading files to knowledge base nodes (use lark-drive), editing document/sheet/Base content (use lark-doc / lark-sheets / lark-base).
Keep a Blume docs site in sync with the product it documents. Audit recently merged pull requests, changelogs, config schemas, CLI help, and public APIs against the docs content, update only pages that are factually stale, verify the docs build, and open (or update) a maintenance pull request — or report a clean no-op. Use when asked to check docs for drift, refresh stale documentation, run a scheduled docs audit, or keep docs current after a release.
Expert guide for the Gemini Notebook (formerly Google NotebookLM) CLI (`nlm`) and MCP server — interfaces for Gemini Notebook. Use this skill when users want to interact with Gemini Notebook programmatically, including: creating/managing notebooks, checking plan usage and quota windows, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, reports, interactive reports, quizzes, flashcards, mind maps, slides, infographics, videos, data tables), conducting research, chatting with sources, or automating Gemini Notebook workflows. Triggers on mentions of "nlm", "notebooklm", "Gemini Notebook", "plan usage", "quota", "podcast generation", "audio overview", "interactive report", "lesson report", "refactor document", "critique draft", or any Gemini Notebook-related automation task
Feishu cloud drive enhanced command group. Chunked large-file uploads (automatically split into 3 parts at ≥20MB), streaming downloads, asynchronous document exports (markdown quick path / sheet+bitable csv / sub-id / bounded polling + resume), asynchronous document imports, file/folder moves (automatic folder polling), rich-text comments (text/mention_user/link + wiki URL parsing + inline comments), generic asynchronous task queries, one-way local ↔ cloud drive mirroring (pull/push/status, SHA-256 content diff + --delete-* --yes double confirmation), and v2 doc_wiki/search flat-filter search (folder-tokens / space-ids / creator-ids / only-title). Use when the user requests "upload a large file," "download a cloud drive file," "export as pdf/markdown/xlsx," "import docx into cloud docs," "move a folder," "add a document comment," "@ someone in a document comment," "comment from a wiki link," "check asynchronous task status," "resume a drive task," "chunked upload," "cloud drive mirroring," "directory sync," "compare local files with cloud drive," "SHA comparison," "search documents by folder," "feishu drive," or "lark drive." This skill coexists with the older file/media/comment command group and offers enhanced capabilities (User Token support, asynchronous resume, rich-text comments); file/media remain available for basic scenarios.
An academic paper formatting assistant based on a standardized directory structure. Supports PDF, .doc, .docx, and .md input formats, and automatically selects an OCR pipeline, reformatting pipeline, or direct MD conversion pipeline. Includes environment cleanup confirmation, checkpoint recovery, smart image cropping, incremental DOCX generation by unit, dual-unit quality checks, intermediate state saving, and BibTeX reference management. All intermediate files go in resources/ and final outputs in outputs/.
Feishu Slides: Create and edit slides. Create presentations, read slide content, and manage slide pages (create, delete, read, and partially replace). Use when users need to create or edit slides, or read or modify an individual page. Also use this skill directly when users provide a doubao.com /slides/ URL/token; do not fall back to WebFetch just because the domain is not Feishu. Route based on the URL path pattern and token, not the domain. Not responsible for: editing cloud document content (use lark-doc), standalone whiteboard objects in cloud documents (use lark-whiteboard), or uploading and downloading ordinary files (use lark-drive).
Comprehensive design elevation system that automatically transforms functional visual outputs into polished, professional designs. Use when creating ANY visual output including presentations (pptx), spreadsheets (xlsx), dashboards, reports, HTML artifacts, PDFs, web pages, or data visualizations. Applies systematic design thinking grounded in Tailwind CSS as the canonical design token system. Structures decisions through functional patterns (what users interact with) and perceptual patterns (how the design feels), following Alla Kholmatova's design systems framework. Triggers on ALL requests for visual content creation, ensuring outputs look hand-crafted rather than template-based.
Guides the creation and review of competitive grant proposals (NIH R01/R21/K, NSF, foundations) by applying reviewer-perspective thinking to ensure clear hypotheses, compelling significance, genuine innovation, and feasible approaches. Use when writing or reviewing grant proposals, crafting specific aims, drafting significance/innovation/approach sections, or when the user mentions R01, R21, K-series, grant writing, proposal review, study section, or fundable hypothesis.
Generate decision memos and product launch documents in Amazon's narrative style. Two modes: `memo` produces a 6-page narrative memo (Introduction, Goals, Tenets, State of Business, Lessons Learned, Strategic Priorities + unlimited appendix); `prfaq` produces a Press Release + External FAQ + Internal FAQ for product launches (work backwards from launch). Enforces Strunk's prose rules (active voice, concrete language, omit needless words, no qualifiers, parallel construction, topic-sentence paragraphs, no overstatement) and Anthropic's removability discipline at the line level. Use when: 'six pager', '6-pager', 'amazon memo', 'narrative memo', 'PRFAQ', 'press release', 'work backwards', 'decision memo', 'strategy doc', 'launch document', 'silent read doc', before any decision big enough to warrant the week-long writing process.
Write user-facing documentation for onboarding, tutorials, task how-to guides, FAQs, help-center updates, and release-facing help refreshes. Use when the main job is helping end users or admins complete a product workflow, recover from a blocker, or understand a changed UI path. Triggers on: user guide, tutorial, getting started, onboarding doc, help article, how-to, FAQ, knowledge-base article, support doc, release help update, and customer-facing documentation. Route internal specs/runbooks to `technical-writing`, API portals/SDK docs to `api-documentation`, and release-note hygiene to `changelog-maintenance`.
Run the qa-reviewer maker-checker gate against one finished text deliverable without a full Ann orchestration: spawns qa-reviewer alone on a single markdown or text file, sets the audience tier (default Tier 1 / colleague; override with --tier and --subgroup), and returns a BLUF verdict plus the full qa_block. Read-only: rewrites nothing, writes nothing to disk. Use on ''/check-deliverable <file>'' or any ask to QA a finished brief on its own. Refuses Office binaries (.docx/.xlsx/.pptx). Not for producing a deliverable (/ann), voice rewriting (/ane-voice), or code review (/code-review)
Google Drive, Gmail, Calendar, and Docs operations via OAuth. Use this skill when uploading files to Drive, searching Drive folders, searching Gmail, finding calendar meetings, creating Google Docs, or managing folder structures. Triggers on Google Workspace operations, file uploads, email search, calendar search, or document creation.
End-to-end guidance for writing mathematical modeling competition papers. Covers CUMCM and MCM/ICM, from paper structure planning and chapter writing to model validation, reference formatting, and final format checks. Pairs with math-modeling-solver as “problem solving → writing”; can expand solver-generated draft excerpts directly into full text. This skill must be used whenever the user mentions mathematical modeling paper writing, modeling competitions, papers for CUMCM/MCM, Electrician Cup, Asia-Pacific Cup, Shenzhen Cup, or Huawei Cup, CUMCM, MCM/ICM, paper structure, abstract writing, model validation, sensitivity analysis, LaTeX modeling templates, Word modeling formatting, Memo/Letter writing, model naming, Our Work flowcharts, or needs any part of a modeling paper written, revised, optimized, or checked.
Academic paper fraud detector, in tribute to student Geng. Analyzes academic paper PDFs to detect research misconduct such as data fabrication, image reuse or splicing, Western blot manipulation, and statistical anomalies. Use when users provide a paper PDF and ask to "check for plagiarism," "detect fraud," "check for fabrication," "analyze the paper," or "investigate academic fraud."
Create text-driven visuals in Markdown: charts, diagrams, cards, architecture and page layouts. Charts and analytical views (bar, line, pie, heatmap, correlation, regression); reliability and operations (latency, incident, throughput, cycle time, OKR, standup, on-call); product and finance (funnel, retention, revenue, budget); process and workflow (approval, BPMN); software design and behaviour (class, state machine, sequence, C4); dependencies and impact (dependency graph, ER, causality); system architecture as HTML (layer stack, wings, zones, topology, service catalogue, request paths); infrastructure (cloud, Kubernetes, ETL, network, security, IAM, compliance); governance and people (ArchiMate, org chart, hiring); knowledge and planning (mind map, roadmap, Gantt, migration); documents (comparison, SWOT, memo, policy, catalogue, case study). Use when a document needs a diagram, chart or card. Figures render live. Not for slide decks or math notation. Not recommended: mermaid / canvas / drawio / dot
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.