Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Documents
Checks a draft for plagiarism, self-plagiarism, text recycling, and uncited near-quotes using several detection methods, and reports overlapping passages so the author can fix them before reviewers or an integrity check do. Use when a researcher says "check for plagiarism", "plagiarism check", "did I copy too much", "self-plagiarism", "text recycling", "am I reusing too much of my own paper", "check originality", "is this too close to the source", or "did I paraphrase closely enough". Compares the draft against sources the user provides (their own prior papers, co-author drafts, suspected sources, or papers fetched on demand), detects internal duplication, and surfaces distinctive phrases to search externally. Honest about scope - it is not iThenticate/Turnitin and has no private publisher corpus; it catches overlap against given sources and publicly findable phrases. Trigger words - plagiarism, self-plagiarism, text recycling, originality, copied, overlap, too close to source, duplicate text.
Use when each author needs an ICMJE Conflict of Interest disclosure form (coi_disclosure.docx) for submission. Clones a pre-filled synthetic seed with every item marked None and replaces only date, name and manuscript title, so most authors just confirm or amend.
Use when building Jinja templates in Frappe: Print Formats, Email Templates, Notification templates, Portal Pages, and custom Jinja methods. Covers template creation workflows, child table handling, conditional sections, styling, multi-language support, and debugging. Prevents N+1 queries, wrong formatting, and Report Print confusion. Keywords: create print format, email template, portal page, pdf, create print format, invoice template, email template, PDF layout, custom print. template, invoice template, jinja methods, notification template, web page template, print format styling.
MinerU document extraction CLI that converts PDFs, images, and web pages into Markdown, HTML, LaTeX, or DOCX via the MinerU API. Supports token-free flash extraction for quick start, precision extraction with table/formula recognition, web crawling, batch processing, and piped workflows.
Draft privacy-policy language and a review checklist tailored to a business model, data practices, and relevant jurisdictions. Use when the user requests a privacy policy or needs to map disclosures for GDPR, CCPA, or similar frameworks; do not use it to guarantee legal compliance.
Write a complete requirements specification from UI and functional specs (a specs-ui skill project), publish it as a readable HTML artifact (table of contents, identifier search, diagrams, copying the full Markdown or sections), and also deliver it in Markdown. Include an overview and scope; users and roles; functional and UI specifications by batch with acceptance criteria; visual identity; non-functional requirements; architecture; detailed tech stack; infrastructure and operations; batch breakdowns with estimate ranges; schedule; risks; and open questions. Derive the architecture from the specs, present options, then validate it. Use whenever someone mentions requirements, a CDC, technical specifications, a design document, a document for the dev team, architecture or stack based on specs, estimation, or batch breakdowns—even without saying “requirements specification.”
Detect AI-generated writing patterns in developer text — docs, docstrings, commit messages, PR descriptions, and code comments. Use when reviewing any text artifact for authenticity and clarity, or when the user mentions ai writing, ai-generated or robotic writing, text that sounds like AI or ChatGPT, or writing quality. Builds on the docs-style core writing principles.
Draft and fill services agreement templates — consulting contract, contractor agreement, SOW, statement of work, professional services agreement. Produces signable DOCX files from Common Paper and Bonterms standard forms. Use when user says "consulting contract," "contractor agreement," "SOW," "statement of work," "services agreement," or "freelancer contract." Includes lawyer-reviewed practice guides; see openagreements.org/editors.
Use this skill when the user asks to review, audit, proofread, or produce a formal evaluation report for a degree thesis, dissertation, academic paper, or thesis PDF/DOCX, especially when they require checklist-based, line-by-line, evidence-grounded comments, PDF page locations, external fact verification, MinerU/VLM parsing, or a standardized Chinese 学位论文审阅报告.
Audit load-bearing paper claims against evidence in results, tables, figures, experiments, or citations. Use for claim audits, overclaiming checks, first or state-of-the-art claims, significant-result wording, prose-table number mismatches, and camera-ready or rebuttal evidence checks.
Contract drafting and review assistant. Based on layered analysis and a four-step process, it outputs an actionable risk list, drafting skeleton, revision suggestions, recommended wording, and a review opinion letter, supporting two document handling modes: comments and track changes. Also use this skill when users send contract files and request review or drafting via Feishu or other IM conversations, and prefer returning the revised version and review report in the original conversation.
Upload local documents to TianGong AI Unstructure `/mineru_with_images` API for fine-grained parsing and return only plain fulltext content. Use when a task needs document fulltext extraction with `return_txt=true`, strict file-type allowlist validation, API base URL/auth token from environment variables, and optional provider/model overrides.
Word document beautification and formatting expert. Specifically for converting text content in Word documents into professional table formats, applying consistent styles (dark blue header, zebra-striped data rows, borders), and supporting versioned iterative management. Use this skill when the user needs to beautify Word documents, create professional tables, or incrementally optimize document sections.
Use this skill to migrate course catalog data from external sources (CSV, PDF, website) and bulk-create Learning and LearningCourse records in Education Cloud. Triggers when a user wants to import courses, parse course catalog documents, or set up a course catalog for an academic term. Handles multi-source data ingestion, intelligent interpretation of course structures (lecture+lab linked courses via IsLinkedOnly flag, credit hours, course types), batch creation via sObject REST API, data quality validation, conflict resolution for existing courses, and gap identification. Explains what's missing (descriptions, types) and requests additional sources. Pauses for clarification on multi-component courses and conflicting data. DO NOT TRIGGER for creating individual Learning Course records manually, for creating Learning Programs (different workflow), or for enrollment/registration workflows.
Official skill for recognizing handwritten text from images using ZhiPu GLM-OCR API. Supports various handwriting styles, languages, and mixed handwritten/printed content. Use this skill when the user wants to read handwritten notes, convert handwriting to text, or OCR handwritten documents.
Runs systematic literature reviews by searching PubMed, arXiv, bioRxiv, and Semantic Scholar (plus web search via parallel-cli), screening studies, extracting data, synthesizing themes, and verifying citations with verify_citations.py. Produces a markdown and PDF review with a PRISMA-style flow diagram and a bibliography in APA, Nature, or Vancouver style. Use when conducting a systematic or scoping review, synthesizing research on a topic, writing the literature review section of a paper or thesis, identifying research gaps, or checking citations in a review. Not for looking up a single paper or database record; use the specific database skill instead
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
Create polished HTML technical reports and multi-page documents for consulting deliverables. Includes a customizable design system with dark cover page, warm cream content pages (8.5x11 portrait), professional typography, and a curated component library (KPI cards, data tables with severity coloring, callout boxes, recommendation cards, priority banners). Trigger on report, audit report, technical document, written report, assessment, or multi-page document. Outputs standalone HTML files exported to PDF via Chrome headless.
Renders ANY research paper (URL / arXiv ID / DOI / PDF / pasted text) into a visually engaging multi-format reading experience — with mind maps, method flowcharts, key-finding infographics, comparison tables, related-work timelines, and a plain-English layer alongside the technical content. Activates on slash commands (`/read-research-paper`, `/read-paper`, `/explain-paper`, `/visualize-paper`) and natural-language requests like "read this research paper [URL]", "explain this paper [URL]", "make this paper visual [URL]". Caches every fetched paper locally so re-asks are instant. Ships with a bundled corpus of canonical papers for offline fallback. Hands off to `research-paper` for citation reuse and to `get-research-paper` for related-work expansion. Runtime-neutral.
Create, edit, and convert Word documents (.docx) using Syncfusion DocIO. Supports to generate java code for the user's project. Use when the user mentions docx, Word processing, document generation, Syncfusion DocIO, or syncfusion java word.
Specify any visual piece —a product interface, a presentation, an infographic— screen by screen or slide by slide: purpose, structure, hierarchy, the content of every block and the visual criteria applied, written as a dated document of the loaded product node. It closes by checking whether the session has a tool able to build it and only then offers to; with no tool it closes with the document. Manually triggered, invocable on its own.
Generates a rich, visual HTML one-pager that lets a busy reviewer understand a body of changes and either approve a proposed PR stack or merge a finished one — without reading the diff themselves. Auto-detects whether the run is DRAFT (working-tree changes plus a proposed stack, pre-approval) or FINAL (a real PR stack with review complete, pre-merge). Leads with a TL;DR, surfaces the PR stack near the top, flags high-stakes changes (endpoints, auth, schema), then walks the reviewer through the important code as a numbered Code Tour with inline diff snippets. Use whenever someone wants to eyeball a change before approving or merging — "review the changes", "show me what changed", "summarize the diff / the branch / the stack", "what am I about to approve", "walk me through what shipped", "explain the final code", or any shipping-workflow approval/merge gate — even if they don't say the words "brief" or "HTML".
Write, restructure, classify, and review documentation with the Diataxis framework. Use when the user asks to create, improve, audit, or reorganize documentation of any kind: knowledge bases, help centers, onboarding guides, process docs, manuals, runbooks, product or API docs, tutorials, how-to guides, references, explanations. Also use when the user mentions Diataxis, docs taxonomy, or documentation architecture, or asks why a document feels confusing. Also use for Simplified Technical English (ASD-STE100) or controlled-language rewrites of English technical docs. Not for marketing, legal, sales, press, or fiction writing unless the user wants a Diataxis-style analysis.
Draw **animated graphics / interactive charts / data dashboards** inside Feishu Docs — Miaobi BOX is the only carrier in Feishu Docs that can actually run CSS/JS (iframe sandbox). It can draw: the full ECharts suite (line/bar/pie/radar/scatter/heatmap/Sankey/funnel/gauge/candlestick/boxplot/parallel/sunburst/treemap/force-directed graph/timeline/Gantt), real maps with lat-long flying lines, echarts-gl 3D (map3D/3D bar/3D scatter/3D surface), real Three.js 3D scenes, word clouds, liquid fill, pure CSS animation, Canvas particles, SVG vector animation, scrolling KPI dashboard. When the user asks to "draw in Feishu Docs / make animations / animated graphics / interactive charts / data dashboard / Dashboard / line chart / bar chart / map / flying line chart / 3D chart / relationship graph / process animation / ECharts / visualization", or wants to build an **interactive document mini-app that can call AI / read and write Base tables / persist state / get user identity**, or mentions "Miaobi BOX / HTML widget / make the graphics in Feishu Docs move / embed a web page into Feishu Docs / window.magic", **you must use this skill**. Note: to be "animated" you can only use Miaobi BOX; the SVG nodes of the board (feishu-cli-board) are rasterized into static images by the server and will not move.
Use when drafting a grant or challenge proposal for a radiology or medical AI project, including a Korean government industry-academia plan. Structures significance, innovation, approach, aims, milestones and consortium roles, keeping claims evidence-based and executable.
Computational provenance audit verifying every number, table, and figure in a manuscript derives from code, not manual entry. Triggers on: "check provenance", "verify reproducibility", "audit my pipeline", "are my numbers from code", "provenance audit". Companion to manuscript-review (prose audit).
Create, edit, and run plain-text MATLAB live scripts (.m files) with rich text formatting, LaTeX equations, section breaks, and inline figures. Use when generating tutorials, analysis notebooks, reports, documentation, or educational content, when modifying existing live scripts, or when converting existing binary .mlx files to .m for version control. Requires R2025a+.
Based on the body of an NSFC proposal and the application code recommendation library, gives you 5 sets of application code 1/2 (primary/secondary) recommendations with reasons; output to NSFC-CODE-vYYYYMMDDHHmm.md (read-only, does not modify the proposal)
Markdown/HTML/Typst to PDF — input Markdown, HTML or Typst files and generate PDF documents locally. Supports headings/lists/code blocks/multi-column/freeform layout and mental arithmetic worksheets. [Important] You must first read the original skill text to get the correct command format; no guessing.
Write or rewrite a project README as plain factual documentation covering what the tool is, how to install and run it, what it touches, and how to undo it. Use when the user asks to create, write, rewrite, improve, or review a README, complains their README is too long, too marketing-heavy, or buries the install instructions, or says "make a README" / "fix my README".
Build the Excel toolkit that runs a selection between a published ToR and the award: procurement mode (master workbook plus one scorer workbook per panel member) and appraisal mode (generic multi-criteria decision analysis), off one weighted scoring engine. Use for panel scoring set-up, scoring grids, evaluation workbooks, or any weighted multi-criteria appraisal. Distinct from tor-procurement (writes and grades the ToR), procurement-offer-review (analyses one incoming offer), donor-proposal-scoring (proposals IPPF sends out rather than receives), and accreditation-desk-review (MAs against IPPF standards).
Audit where one fact lives in many places and report the canonical source of truth plus a consolidation plan — read-only. Use when the same fact, spec, decision, config, status, or definition appears in multiple artifacts or platforms and may have drifted; when refactoring a legacy codebase, building or grading the severity of a knowledge base, or scaffolding a new project; before trusting a value stated in more than one place; or when asked to find duplication, check consistency, or locate the source of truth. Never modifies anything.
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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.