Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Documents
Venue-calibrated peer-review simulation. Use when a researcher says "simulate reviewers", "mock review", "review my paper like a NeurIPS reviewer", "what would Reviewer 2 say", "red-team my paper", "find weaknesses before I submit", "peer review my paper", "strengths and weaknesses / pros and cons of my paper", "what to focus on", or wants a rubric score / borderline-reject risk estimate for a conference or journal (NeurIPS, ICML, ICLR, CVPR, KDD, SIGMOD, CHI, VLDB, LNCS, TKDE, TODS...). Builds a reviewer panel calibrated to the venue family and track (harsh NeurIPS main-track skeptics vs lenient demo-track judges), scores novelty/soundness/reproducibility/clarity on the venue's scale, hunts weaknesses grounded in quoted paper text, aggregates scores into a decision-risk band with borderline-reject flags, and outputs a prioritized fix list. Advisory only; improves the paper, never predicts the outcome, re-verifies facts against the live CFP, fabricates no citations or reviewers, and submits nothing.
Create and edit presentation slide decks (`.pptx`) with PptxGenJS 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.
Turn even a one-line request into a polished PPT: clarify the audience, context, and style, organize local materials, generate editable PPTX/Web Decks, and use GPT image generation, rendered review, and audit trails to ensure a genuine office-ready deliverable
Import documents and perform knowledge retrieval via WeKnora API. Use when uploading files, URLs, or Markdown to a knowledge base, searching knowledge with hybrid retrieval (vector + keyword), or querying knowledge details. Triggers: (1) uploading documents to a knowledge base, (2) hybrid search across knowledge bases, (3) listing/querying knowledge base contents.
Writes a timed, word-budgeted speaker script for an exact conference-talk slot (e.g. a 12-minute talk plus 3-minute Q&A, or a 5-minute lightning talk). Use when a researcher mentions talk script, presentation script, speaker notes, conference talk, lightning talk, rehearsal, "what do I say on each slide", or "my talk is running long". Turns a slide deck or outline into spoken-register prose with a per-slide word budget at ~130 words/minute (calibratable), cumulative timing marks, written-out transitions, a marked cut list worth 10-15% of the talk for running long, and a Q&A handoff. Bundled stdlib-only Python scripts compute the budget (word_budget.py) and re-time any draft (script_timer.py with per-slide timing, cut savings, and an over/under verdict). Venue-aware but treats presenter instructions and the acceptance email as ground truth for slot length; never invents results — every claim spoken must come from the paper.
Audit cross-document coherence: docs ↔ roadmap ↔ code ↔ fix index ↔ issues. Finds drift — features in docs/ not in the roadmap (or vice versa), fix-index entries already merged/closed, broken documentation-map links, dependency cycles, artifacts in the wrong language, naming-convention violations — and reports them ranked by severity, fixing only low-risk items on request. Model-agnostic: the skill inherits whatever model and effort your agent session is already using. Triggers: "check doc consistency", "are the docs in sync", "audit the docs", "doc coherence review", "did the docs drift", "validate the roadmap".
contract-cli contract command skill: supports contract details, contract search, contract creation, user group sync, reading contract text, querying contract categories, listing templates, viewing template details, and creating template instances under both the user and bot identities, file upload under the bot identity, and enumeration queries under the user identity. Triggered when the user wants to use `contract-cli contract ...` to operate contract capabilities.
Expert in creating technical documentation, architectural decision records (ADRs), and RFCs. Specializes in structured knowledge management and system documentation. Use when writing technical docs, ADRs, RFCs, or system design documents.
Use when auditing or fixing prose that reads like a leaked reasoning transcript — dead design-session citations such as (decision N), audit item codes, or §N of uncommitted drafts; change narration such as "used to", "no longer", "this cut"; stack or review vantage ("a later PR in this stack", "rejected in review"); reviewer-addressed justifications; control-flow narration; or hedged planning residue in comments, JSDoc, docs, or Agent Notes.
Generate medical information summary cards for quick access in emergencies. Use this skill when the user is traveling, preparing for a medical visit, facing an emergency, or asking about "emergency information", "medical card", or "first-aid information". Extracts key information (allergies, medications, emergencies, implants) and supports multiple output formats (JSON, text, QR code) for first aid or quick medical visits.
Helps a paper hit its target length: recommends exactly what to compress when it is over the page limit, or what to add with substance when it is too short. Use when a researcher says "I'm over the page limit", "compress my paper", "what should I cut", "trim two pages", "my paper is too long", "help me fit NeurIPS's limit", "my paper is too short", "I have space left, what should I add", or "where is all my length going". Runs a section-by-section length analysis, then gives a prioritized, value-aware plan: which low-value sections to condense or move to an appendix, while protecting contributions, results, and citations, or which thin sections to develop. Never deletes evidence to fit and never pads to fill. Trigger words: page limit, compress, trim, cut down, too long, too short, over the limit, fit the limit, what to cut, what to add.
Check the consistency and authenticity risk between in-text citations and the reference list in NSFC proposals (read-only): verify whether bibkeys exist and check formatting issues in BibTeX fields and DOIs, and generate structured input for the host AI to assess item by item whether the in-text statement truly cites that reference; by default only output an audit report, without directly modifying the proposal or .bib (unless the user explicitly requests it).
Pincaimao - Resume Diagnosis. Use when calling the Pincaimao Resume Diagnosis Assistant API to parse and diagnose a candidate resume against a job description. Requires uploading the resume file first to get the cos_key. Requires the PCM_RESUME_DIAGNOSIS_KEY env var.
Guides implementation of the Syncfusion ASP.NET Core Markdown Converter (Syncfusion.EJ2 NuGet). Use this skill when the user needs to convert Markdown text to HTML, use the MarkdownConverter toHtml method, configure MarkdownConverterOptions (async, gfm, lineBreak, silence), or integrate the Markdown Converter with the Syncfusion Rich Text Editor tag helper for live preview or side-by-side editing in ASP.NET Core MVC or Razor Pages projects. Trigger when user mentions markdown to HTML conversion, MarkdownConverter, toHtml, ej2-markdown-converter, markdown preview, or RTE markdown mode.
Extract tables, form fields, barcodes, and document layout from PDFs or images (scanned PDFs, PNG/JPG) using Syncfusion Smart Data Extractor. Trigger when users ask to parse/extract/convert document data (invoices, receipts, KYC/forms) into structured output and want C#/.NET integration code using the extractor.
Interact with Atlassian Jira and Confluence using REST APIs — no MCP server needed. Use this skill whenever the user mentions Jira, Confluence, Atlassian, tickets, issues, sprints, backlogs, epics, stories, or any project management task that involves creating/editing/searching/transitioning Jira issues, writing or reading Confluence pages, generating status reports, triaging bugs, converting specs to backlogs, capturing tasks from meeting notes, searching company knowledge, syncing local BMAD documents with Jira or Confluence, pushing docs to Jira, pulling from Jira, linking documents to tickets, downloading Confluence spaces to local markdown, or converting between Confluence storage format and markdown. Also trigger when the user says things like "move that ticket to done", "what's the status of PROJ-123", "create a bug for X", "search our wiki for Y", "file a ticket", "check for duplicates", "write a status update", "break this spec into stories", "sync this doc", "push to jira", "pull from jira", "sync to confluence", "link this to jira", "sync my epics", "download confluence pages", "sync confluence space", "convert confluence to markdown", or "pull docs from confluence". If there is even a chance the user wants to interact with Jira or Confluence, use this skill.
Extract BUAA classroom replay artifacts from `livingroom` or `coursedetail` URLs by reusing a local Chromium login session. Use when Codex needs replay metadata, course-transcript files, optional PPT auxiliary artifacts, replay-ready lesson lists, or a standalone semantic rebuild packet / final lesson note.
Use when the user explicitly asks to "check/optimize the in-text citations of the review `{topic}_review.tex`" or to "run check-review-alignment". Checks citation by citation, via the host AI's semantic understanding, whether the citations match the content of the referenced literature; only when a fatal citation error is found does it minimally rewrite the "sentence containing the citation", and it reuses the rendering scripts of `systematic-literature-review` to output PDF/Word. Core principle: do not change things just for the sake of changing; when it cannot be determined whether an error is fatal, keep the original and flag it in the report. Not applicable: the user merely wants to generate a systematic review body (use systematic-literature-review); the user merely wants to add/verify BibTeX entries (use a dedicated bib management workflow).
A skill for lowering AIGC detection rates in Chinese academic papers. Targeting the detection mechanisms of CNKI, Wanfang, VIP, and Turnitin Chinese editions, it identifies and eliminates 17 categories of structured writing traces of Chinese large language models. It uses a five-step closed-loop workflow of "locate → diagnose → rewrite → self-assess → recheck", with differentiated strategies per section (abstract/introduction/literature review/methods/results/discussion/conclusion), passing detection while maintaining academic rigor.
Turn an RFP and a folder of your past proposals, case studies, and capability docs into a requirement-by-requirement compliance matrix and a drafted response. Flags disqualifiers and unanswerable requirements before you burn a week writing.
Runs drift detection on all design documents to check for document and code consistency. Produces an actionable report with differences. Use when the user asks to detect drift or check for consistency across all design documents or READMEs in a directory.
Orchestrates the EGM Goldfish Review Protocol. Used as part of the EGM process to perform design document reviews. Executes five review phases: Initial Zoom Out Review, Comprehension Review, Design Critique, Intermediate Zoom Out Review, and Implementation Readiness.
Creates Excalidraw diagrams programmatically. Use when the user wants flowcharts, architecture diagrams, system designs, or any visual diagram instead of ASCII art. Outputs .excalidraw files that can be opened directly in Excalidraw or VS Code with the Excalidraw extension.
Use when the user explicitly asks to "extract a review topic from a file/image/web page/description" or to "generate structured output of topic + keywords + core questions". Supports many input sources such as files (PDF/Word/Markdown/Tex), folders, images, natural language descriptions, and web page URLs; automatically identifies the input type and extracts content, producing structured output that can be used directly with systematic-literature-review and other literature review skills.
Convert html-ppt presentations to PPTX in one click. Triggers: export PPTX, convert to PPT, HTML to PPTX, convert to pptx, export for colleagues, PPTX export. Use when the user has an HTML presentation generated by html-ppt (index.html) and wants to convert it to .pptx format. Also applies when the user says "send this HTML to a colleague" or "they only accept PPT".
Use when an AI agent generates, reviews, or revises any legal text (including but not limited to contracts, pleadings, legal opinions, judicial documents, statutory interpretations, legal memoranda, etc.) and must ensure the legal terminology used is precise, unambiguous, and compliant with legal style requirements. Triggered when: 1. drafting or revising legal documents and needing to choose the correct legal terms; 2. reviewing legal text and finding nonstandard, confusing, or ambiguous terminology; 3. converting everyday language into legally standard expressions; 4. translating or comparing legal terms across languages; 5. the user explicitly requests terminology standardization of legal text; 6. precisely defining or explaining legal concepts. This skill is a foundational atomic capability for legal writing and runs through every stage of legal text production.
Review Chinese-to-English translations for accuracy, grammar, terminology, and consistency. Produces a structured review report with prioritized issues. Trigger when: user provides a Chinese document and its English translation for review/checking/proofreading, or mentions "翻译检查", "翻译审校", "translation review", "translation check", "proofread translation".
Research paper writing assistant that enforces Arpit Gupta's editorial principles, voice profile, and writing workflow. MANDATORY TRIGGERS: Use this skill whenever the user mentions writing a paper, drafting a section, revising a section, editing a paper, reviewing a draft, rewriting an introduction, writing an evaluation, polishing prose, compressing text, or any task involving .tex files, Overleaf, conference submissions, or paper deadlines. Also trigger when the user mentions any paper by name (NetBurst, NetForge, BQT+, TurboTest, etc.) in a writing context. This skill should activate for ANY research writing task — sections, abstracts, rebuttals, camera-ready edits, cover letters, or response to reviewers.
Generate, edit, and read PowerPoint presentations. Create from scratch with PptxGenJS (cover, TOC, content, section divider, summary slides), edit existing PPTX via XML workflows, or extract text with markitdown. Triggers: PPT, PPTX, PowerPoint, presentation, slide, deck, slides.
Create Product Requirements Documents (PRDs) that define the end state of a feature through iterative design interview. Use when planning new features, migrations, or refactors. Generates structured PRDs with acceptance criteria, testing strategy, and architectural decisions.
This skill should be used to rewrite résumés with a focus on ATS compatibility and impact for recruiters, and/or to audit LinkedIn profiles to maximize visibility and professional conversion. Trigger it for requests about résumé optimization, ATS improvement, professional CV rewriting, tailoring to a target job, ATS compatibility auditing, increasing interview rates, LinkedIn profile auditing, optimizing LinkedIn headline/about/experience, SSI analysis, or CV plus LinkedIn alignment.
Use this skill for Blazor apps needing Excel-like UI using the Syncfusion Spreadsheet Component. Trigger for creating, viewing, editing Excel (.xlsx, .xls) files; embedding spreadsheet editors; using formulas, filtering, sorting, or cell formatting. Also trigger when users reference spreadsheet files ("open xlsx", "load Excel file", "add Syncfusion spreadsheet"). Do NOT trigger for standalone file processing without UI components.
Best practices and API reference for Terra API Lab Reports (pre-release) – convert clinical lab report PDFs and images into structured, standardized biomarker data. Use when parsing blood test results, extracting biomarkers, mapping to LOINC or UCUM unit codes, handling reference ranges, handling lab_report.completed / lab_report.failed webhooks, or working with PDF lab results and lab report OCR. Covers the async upload/standardize/deliver lifecycle, the event envelope (event_id, upload_id), the layered result model (source, biomarker, measurement, interpretation, reference ranges), unmatched-biomarker handling, snowflake IDs, and idempotent webhook processing.
Drafts peer-review rebuttals and author responses in the three real venue formats - (a) strict one-page LaTeX rebuttal PDFs (CVPR-style), (b) OpenReview threaded per-review replies under 10,000-character budgets (NeurIPS/ICML/ICLR), and (c) revise-and-resubmit packages with a change-log response document (CHI, SIGMOD/ICDE revision rounds, journals). Anchors every response to paper sections, tables, figures, and line numbers; enforces character/page budgets and point-by-point coverage with bundled checker scripts; ships a one-page rebuttal LaTeX template. Use when the user says "write my rebuttal", "respond to reviewers", "author response", "reviews came back", "reviewer 2 says", "revise and resubmit", "response letter", "rebuttal deadline", or needs to fit a response into an OpenReview character limit or a one-page PDF. Drafts files on disk only; never posts, uploads, or submits.
Vision-enabled verification gate with web search. Use when users want to (1) verify slides/reports/PDFs/images against authoritative online sources, (2) validate that citations actually exist and say what's claimed, (3) check charts/graphs/tables for accuracy, (4) audit AI-generated content in doc-only mode (no external knowledge). Two modes - search mode validates against web, doc-only mode ensures everything traces to provided documents. Supports content in any language.
Read and write Feishu (飞书) docs, sheets, Base (bitable), Drive files, calendar events, tasks, wiki, and IM messages via the Feishu Open Platform REST API. Use when the user mentions 飞书 / Feishu / Lark, a Feishu document or sheet link, their Feishu calendar, or wants to send a Feishu message.
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.