Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Documents
Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication.
Use when writing or formatting Jira descriptions, comments, or any text destined for Jira. Converts Markdown to Jira wiki markup, provides templates (bug reports, feature requests), and validates syntax before submission. Triggers on any Jira content authoring task.
Use when the user wants to create, optimize, or improve sales presentations, pitch decks, demos, or proposal decks. Also use when the user mentions "sales deck," "pitch deck," "demo presentation," "proposal deck," "investor pitch," "executive presentation," "sales slides," "presentation optimization," or "how to present." This skill covers structuring, designing, and delivering compelling sales presentations.
Create and edit presentation slide decks (`.pptx`) with PptxGenJS, bundled layout helpers, and render/validation utilities. Use when tasks involve building a new PowerPoint deck, recreating slides from screenshots/PDFs/reference decks, modifying slide content while preserving editable output, adding charts/diagrams/visuals, or diagnosing layout issues such as overflow, overlaps, and font substitution.
A presentation system for agent-made PPTs — born for the talk, not just the template. It turns raw material into an AST (audience-state-transfer) outline with per-page visual-enhancement decisions (image / SVG diagram / video), hands a production brief to a downstream renderer (HTML-PPT skills or native PPTX), then runs a capped 3-round presentation checkup on the rendered deck. It never renders slides itself. Use before generating PPT/HTML slides from raw material, and after rendering when the user says things like "给这份 deck 做演讲体检" or "PPT 渲染质检". If all you want is one beautiful template page with no outline and no checkup, a rendering skill alone is enough
Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library.
Generate a donor proposal pack (CERV first) with the full MEL stack: intake, a fixed roster delegated to Vi (evidence-synthesis, toc-builder, indicator-designer, the gender and safeguarding lens specialists, proposal-architect), then the seven-artefact branded pack with the AI-disclosure colophon. Use when Ane builds a grant proposal or runs '/proposal --donor cerv'; donor is an argument so Gates/OSF/UN are later --donor values. Does not fill Part A portal forms, submit, or sign off finance/legal. Distinct from donor-proposal-scoring (scores a written proposal) and implementation-pack (post-award).
Official document writing assistant for Chinese government documents based on the GB/T 9704-2012 standard. Triggers when: writing Chinese official documents, formatting documents according to national standards, reviewing document compliance, or creating notices, reports, requests, replies, letters, or minutes. Commands: - /gongwen notice <topic> — write a notice - /gongwen report <topic> — write a report - /gongwen request <topic> — write a request - /gongwen reply <topic> — write a reply - /gongwen letter <topic> — write a letter - /gongwen minutes <topic> — write meeting minutes - /gongwen check <document> — check document compliance - /gongwen format — show formatting rules. Capabilities: support for 15 document types, GB/T 9704-2012 compliance, hierarchy numbering rules, font and layout specifications, document structure templates
Workflow 3: Full paper writing pipeline that goes from a narrative report to a polished, submission-ready PDF. Use when user says "写论文全流程", "write paper pipeline", "从报告到PDF", "paper writing", or wants the complete paper generation workflow.
Blueprint feedback, research, and pulse survey forms with bounded scope, consistent scales, and credible fillable layout intent—not an unfocused question dump or generic Google Form paste. Use when the user asks for a survey form, questionnaire, feedback form, customer or employee survey, evaluation form, or structured opinion instrument. Create survey forms with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Improve the clarity and voice of AI-assisted academic writing (papers, theses, rebuttals) and funding proposals (NSF Project Summary/Description, NIH Specific Aims): preserve scholarly conventions, match claims to evidence (and, for proposals, claims to feasibility), and match the author's own voice. It never changes a number, result, or citation, and it is not for evading AI-use disclosure. Use when editing AI-assisted academic prose or grant proposals.
This skill should be used when the user wants to plan a Hedera hackathon project, create a PRD, write a project spec, brainstorm a hackathon idea, or structure their hackathon submission. Triggered by phrases like "hackathon project plan", "hackathon PRD", "plan my hackathon project", "hedera hackathon idea", "write a hackathon spec", "hackathon project structure", "prepare for hackathon", or "build for hackathon".
Full end-to-end research pipeline: from a broad research direction through idea discovery, experiments, and review all the way to a polished paper PDF. Use when user says "全流程", "full pipeline", "从找idea到投稿", "end-to-end research", or wants the complete autonomous research lifecycle.
Builds a complete resume from scratch as Reactive Resume JSON that conforms to the schema and imports at https://rxresu.me. Asks for each missing detail instead of inventing it, then produces valid JSON (UUIDs, HTML descriptions, template and layout). Use when the user wants to create, build or generate a new resume, turn their work history into Reactive Resume JSON, or asks about the Reactive Resume schema, sections, templates or layout. For what belongs on a resume or a resume audit use resume-content-guide; for rewriting bullets, resume-bullet-writer; for fitting one job posting, resume-tailor; for tracking applications, job-application-manager; for interviews, interview-prep or mock-interview.
Draft a structured grant proposal from research ideas and literature. Supports KAKENHI (Japan), NSF (US), NSFC (China, including 面上/青年/优青/杰青/海外优青/重点), ERC (EU), DFG (Germany), SNSF (Switzerland), ARC (Australia), NWO (Netherlands), and generic formats. Use when user says "write grant", "grant proposal", "申請書", "write KAKENHI", "科研費", "基金申请", "写基金", "NSF proposal", or wants to turn research ideas into a funding application.
Compile a complete academic or senior professional curriculum vitae from notes, publication lists, and appointment history—with correct section order, honest bibliographic detail, and readable long-list hierarchy (not a one-page job resume). Use when the user asks for a CV, curriculum vitae, academic vita, faculty application CV, or multi-page career record. Create cvs with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Universal LaTeX document skill: create, compile, and convert any document to professional PDF with PNG previews. Supports resumes, reports, cover letters, invoices, academic papers, theses/dissertations, academic CVs, presentations (Beamer), scientific posters, formal letters, exams/quizzes, books, cheat sheets, reference cards, exam formula sheets, fillable PDF forms (hyperref form fields), conditional content (etoolbox toggles), mail merge from CSV/JSON (Jinja2 templates), version diffing (latexdiff), charts (pgfplots + matplotlib), tables (booktabs + CSV import), images (TikZ), Mermaid diagrams, AI-generated images, watermarks, landscape pages, bibliography/citations (BibTeX/biblatex), multi-language/CJK (auto XeLaTeX), algorithms/pseudocode, colored boxes (tcolorbox), SI units (siunitx), Pandoc format conversion (Markdown/DOCX/HTML ↔ LaTeX), and PDF-to-LaTeX conversion of handwritten or printed documents (math, business, legal, general). Compile script supports pdflatex, xelatex, lualatex with auto-detection, latexmk backend, texfot log filtering, PDF/A output, and verbosity control (--verbose/--quiet). Empirically optimized scaling: single agent 1-10 pages, split 11-20, batch-7 pipeline 21+. Use when user asks to: (1) create a resume/CV/cover letter, (2) write a LaTeX document, (3) create PDF with tables/charts/images, (4) compile a .tex file, (5) make a report/invoice/presentation, (6) anything involving LaTeX or pdflatex, (7) convert/OCR a PDF to LaTeX, (8) convert handwritten notes, (9) create charts/graphs/diagrams, (10) create slides, (11) write a thesis or dissertation, (12) create an academic CV, (13) create a poster, (14) create an exam/quiz, (15) create a book, (16) convert between document formats (Markdown, DOCX, HTML to/from LaTeX), (17) generate Mermaid diagrams for LaTeX, (18) create a formal business letter, (19) create a cheat sheet or reference card, (20) create an exam formula sheet or crib sheet, (21) condense lecture notes/PDFs into a cheat sheet, (22) create a fillable PDF form with text fields/checkboxes/dropdowns, (23) create a document with conditional content/toggles (show/hide sections), (24) generate batch/mail-merge documents from CSV/JSON data, (25) create a version diff PDF (latexdiff) highlighting changes between documents, (26) create a homework or assignment submission with problems and solutions, (27) create a lab report with data tables, graphs, and error analysis, (28) encrypt or password-protect a PDF, (29) merge multiple PDFs into one, (30) optimize/compress a PDF for web or email, (31) lint or check a LaTeX document for common issues, (32) count words in a LaTeX document, (33) analyze document statistics (figures, tables, citations), (34) fetch BibTeX from a DOI, (35) convert a Graphviz .dot file to PDF/PNG, (36) convert a PlantUML .puml file to PDF/PNG, (37) create a one-pager/fact sheet/executive summary, (38) create a datasheet or product specification sheet, (39) extract pages from a PDF (page ranges, odd/even), (40) check LaTeX package availability before compiling, (41) analyze citations and cross-reference with .bib files, (42) debug LaTeX compilation errors, (43) make a document accessible (PDF/A, tagged PDF), (44) create lecture notes or course handouts, (45) fill an existing PDF form (fillable fields or non-fillable with annotations), (46) extract text or tables from a PDF (pdfplumber, pypdf), (47) OCR a scanned PDF to text (pytesseract), (48) create a PDF programmatically with reportlab (Canvas, Platypus), (49) rotate or crop PDF pages (pypdf), (50) add a watermark to an existing PDF, (51) extract metadata from a PDF (title, author, subject).
Design formal exam papers—midterms, finals, unit tests, or take-home assessments—from a syllabus, rubric, past papers, or source readings, with weighted coverage, unambiguous calls for response, and intentional answer space. Use when the user asks for an exam paper, test, quiz, final, midterm, or printable assessment to distribute to students. Create exam papers with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Blueprint client, patient, or project intake forms with clear section flow, calibrated field density, and trustworthy fillable layout intent—not an unstructured questionnaire dump or generic web-form paste. Use when the user asks for an intake form, onboarding questionnaire, registration packet, new-client paperwork, or new-patient form. Create intake forms with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Blueprint job, program, or membership application forms with clear field architecture, calibrated answer spaces, and professional fillable layout intent—not a resume paste or generic questionnaire dump. Use when the user asks for an application form, printable application, enrollment form, or structured apply document (including role-specific or attachment-backed applications). Create application forms with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity
GPU-optimized OCR using Surya. Use when extracting text from images/screenshots, recovering image-only content in PDFs or slides, or inspecting multilingual document layouts. Preserve source locations and report recognition gaps separately from verified text.
Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.
Conduct an IPPF Member Association (MA) accreditation desk review against the IPPF EN Internal Guidelines Accreditation Review (Cycle 4 / ARV cycle, where ARV means Accreditation Review, NOT antiretroviral). Use when Ane assesses an MA self-assessment against accreditation principles, standards or checks, writes reviewer conclusions in the desk-review Word template, or prepares pre-interview document requests and interview questions, including on a bare principle, standard or check number ('do principle 8'). Not for literature reviews (evidence-synthesis), interview or survey guides (instrument-designer), indicator design (indicator-designer), or any clinical antiretroviral 'ARV' question.
Interact with Google Docs - create documents, search by title, read content, and edit text. Use when user asks to: create a Google Doc, find a document, read doc content, add text to a doc, or replace text in a document. Lightweight alternative to full Google Workspace MCP server with standalone OAuth authentication.
End-to-end product development for iOS/macOS apps. Covers market research, competitive analysis, PRD generation, architecture specs, UX design, implementation guides, testing, and App Store release. Use for product planning, validation, or generating specification documents.
Polishes existing academic prose while preserving the author's meaning: grammar and flow repair, tone calibration against evidence strength, AI-tone removal, and Chinese-to-English rewriting at submission quality. Never fabricates data, citations, or claims, and flags any edit that could change scientific meaning. Use when the user asks to polish a draft, fix awkward wording, remove AI flavor, translate a Chinese manuscript into publishable English, or tone down overclaiming.
Draft commercial agreements (NDA, MSA, SOW, SaaS, vendor) from user terms and deal context—signature-ready layout, counsel review required, no invented law. Use when the user asks to draft, author, template, or format a contract or agreement (not review-only). Create contracts with AI-native design and the highest aesthetic standards, powered by the K2F format and engine. Purpose-built for AI agents, K2F lets them focus on semantic content and design intent while automatically handling layout, typography, and formatting complexity.
Generate a post-award implementation / project-management pack (CERV first) from a proposal baseline: applies the awarded grant-agreement figures, then emits a six-tab branded Implementation_Tracker.xlsx, a periodic technical-report scaffold, and a README. Use when Ane sets up project tracking after an award or runs '/implementation-pack --donor cerv'; donor is an argument so Gates/OSF/UN are later --donor values. Does not replace the finance system of record, portal reporting, or the authorising officer's sign-off. Distinct from /proposal (pre-award).
Autonomously improve a generated paper via GPT-6-Astra xhigh review → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper.
Explains concepts, PRs, and designs as quick-start materials for a specific audience, without unnecessary verbosity, and verifies diagrams and claims with tools. Builds a reader persona (what they know, don't know, and how they read) from questions and public information, then writes only about the gaps. Draws diagrams in Mermaid / D2 and checks them against a fact sheet, reruns and verifies code and output cited in the text, and runs HTML through the vlmkit gate. Use when the user says "explain this to me / to <person>", "速習資料", "解説ドキュメント", "この PR を理解したい", "わかるように説明して", "I can't keep up with what the agent wrote", "この PR を <人> が理解できるように説明して", or when a reviewer asks what a change does. Use it even for a small diff or a chat-only answer whenever a named reader (a reviewer, an on-call engineer, a teammate, a PM) is given. Also when model or analysis results (diagnostics, metrics, charts) must be explained to someone who decides on them, e.g. "このモデルを本番に出してよいか <人> が判断できるように". Also when the user wrote an explanation themselves and lost confidence in it.
Guides users through documenting business flows step-by-step in EventCatalog, including services, agents, messages, channels, systems, data stores, actors, and external systems. Use when user asks to “document a flow”, “map a business process”, “create a flow diagram”, “walk through a process”, “document an end-to-end flow”, “map an agent workflow”, or “map out how something works in my architecture”.
Write internal technical documentation for engineers and operators: technical specs, architecture docs, ADRs, runbooks, migration plans, and developer-facing implementation guides. Use when the main job is capturing a technical decision, system boundary, operating procedure, or rollout path for builders and maintainers. Triggers on: tech spec, design doc, architecture doc, ADR, runbook, migration guide, implementation guide, rollout doc, operational guide, and internal technical writing. End-user onboarding guides, tutorials, FAQs, and help-center flows belong here too. Route API portals to `api-documentation`, release notes to `changelog-maintenance`, decks to `presentation-builder`, and GTM messaging to `marketing-automation`.
Create and manipulate PowerPoint PPTX files programmatically. Use when the user needs to generate presentations, modify PPTX templates, extract slide content, create thumbnail previews, or automate PowerPoint workflows. Supports both template-based generation (for branding compliance) and from-scratch creation. Keywords: PowerPoint, PPTX, presentation, slides, template, deck, slideshow, corporate, branding.
Rewrite a given document to remove AI-like writing. Automatically selects the most suitable humanizing strategy (humanizer-zh / humanize-chinese / technical-writing) and iterates until the result meets the standard or up to 42 iterations. Applies to de-AI-ifying Chinese text, including general articles, technical documentation and academic papers. Use when the user says: "humanize this", "去AI味", "降AIGC", "人性化改写", "改成人话", "去除AI痕迹", "humanize document", "make text human-like", "去机器味", "降低AI率", "过AIGC检测"
Account statements (daily / monthly) via Longbridge Securities — list available statements and export sections (equity holdings, cash transactions, fees, etc.) as CSV or markdown for accounting, tax filing, or audit. Also covers bank cards linked to the account, withdrawal history, and deposit history. Requires longbridge login with Trade scope. Read-only — no order placement here. Triggers: "对账单", "月结单", "日结单", "账单导出", "税务报表", "报税资料", "导出持仓", "导出交易记录", "银行卡", "出金记录", "入金记录", "充值记录", "對賬單", "月結單", "日結單", "賬單導出", "稅務報表", "報稅資料", "銀行卡", "出金記錄", "入金記錄", "account statement", "monthly statement", "daily statement", "export statement", "tax report", "bank cards", "withdrawal history", "deposit history", "1099", "year-end statement".
A financial analyst that answers money questions with a working Excel model. It pins down the question, gathers the inputs, builds a live-formula workbook with a checks sheet, proves it ties, and leads with the answer and what would change it. Covers DCF, comps, LBOs, merger models, three-statement forecasts, operating budgets and budget-vs-actual, 13-week cash flows, capital budgeting, startup cap tables, project finance, real-estate acquisitions and development, rentals, flips, GP/LP waterfalls, scenarios and breakevens, and audits of models someone else built. Use when the user asks what a company, project or property is worth, whether a deal or investment works, whether the company will run out of cash, or for a “DCF”, “comps”, “LBO”, “merger model”, “3-statement model”, “budget”, “variance”, “13-week cash flow”, “NPV”, “cap table”, “SAFE”, “project finance”, “DSCR”, “pro forma”, “rent roll”, “cap rate”, “waterfall”, “IRR”, “sensitivity”, “what if”, or to “review” or “fix” a model.
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.