Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Documents
Handle ServiceNow attachments from both sides — the six /api/now/attachment tools that move file bytes in and out of the agent, and GlideSysAttachment for copying between records — plus document generation from sys_report_template, PDFs, dms_document versioning, and attachment access checks.
Provides comprehensive guidance for draw.io flowcharts including flowchart creation, shapes, connectors, and diagramming. Use when the user asks about draw.io flowcharts, needs to create flowcharts, design process diagrams, or visualize workflows.
Use when writing German-language prose longer than one sentence for Jira tickets, internal German wiki/spec docs, or team-chat to German-speaking colleagues (Slack, Matrix, Teams). Invoke BEFORE composing. Covers anglicism verbs (failt, triggern, returnen), calqued collocations and idioms (blockiert auf, macht Sinn, in 2026), loanword genders (der Commit, die Pipeline), per-artifact register (impersonal for Jira/wiki, ich/du for chat), German typography (Gedankenstrich, Anführungszeichen, Durchkopplung), and AI-typical rhythm (restatement, symmetric paragraphs, summary closers). Skip for commit messages, MR/PR descriptions, release notes (English by team convention), conversational chat replies, or single-line acknowledgments. If you catch yourself thinking 'my German is probably fine here' for anything longer than a sentence — invoke this skill.
Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.
Convert Markdown files to HTML similar to `marked.js`, `pandoc`, `gomarkdown/markdown`, or similar tools; or write custom scripts to convert markdown to html and/or work on web template systems like `jekyll/jekyll`, `gohugoio/hugo`, or similar web templating systems that use markdown documents and convert them to html. Use when asked to "convert markdown to html", "transform md to html", "render markdown", "generate html from markdown", or when working with .md files and/or a web templating system that converts markdown to HTML output. Supports CLI and Node.js workflows with GFM, CommonMark, and standard Markdown flavors.
Use this skill to build a multi-element Excel dashboard — Dashboard sheet on open, multiple formula-driven KPI cards, multiple charts, sparklines, and conditional formatting — from CSV or tabular input. Trigger on: 'dashboard', 'KPI dashboard', 'analytics dashboard', 'executive dashboard', 'metrics dashboard', 'CSV to dashboard', 'data visualization'. Output is a single .xlsx. Scene-layer on officecli-xlsx: inherits every xlsx hard rule. DO NOT invoke for: a single budget tracker / one-sheet CSV-with-formatting (use xlsx), a 3-statement / DCF / LBO financial model (use financial-model), a weekly report with at most 1 chart and fewer than 10 rows (use xlsx).
Extract structured JSON from URLs, files, videos, PDFs with entity extraction and batch support. USE WHEN parse, extract, URL, transcript, entities, JSON, batch, content, YouTube, PDF, article, newsletter, Twitter, browser extension, collision detection, detect content type, extract article, extract newsletter, extract YouTube, extract PDF, parse content.
Inspect, extract, OCR, create, merge, split, reorder, rotate, annotate, fill, redact, compress, secure, and verify PDF documents while preserving source files and visual fidelity. Use when working with one or more .pdf files; converting documents to or from PDF; extracting text, tables, images, metadata, forms, or page ranges; applying true redactions or signatures; diagnosing malformed, encrypted, scanned, or inaccessible PDFs; or validating that a PDF transformation preserved the intended content and layout.
Use when reviewing or judging a finished or amended developer guide — the adoption + integration narrative for a developer-tool product (SDK/library/CLI/framework/API platform). Decides whether a developer can install, integrate, and operate the tool from the guide alone. A gate, not authoring. Judges it against a single-sourced 14-condition adoptability + accuracy bar: a signposted start-here + a verifiable first success; concepts before recipes; how-tos cover the handed-in scenarios; samples runnable + accurate to the CURRENT tool (no fabricated/stale endpoints); LINKS INTO the api-reference, never duplicates it; Diataxis modes typed; a troubleshooting path; an amend reviewed delta-scoped. Emits exactly `VERDICT: approve|revise` + actionable findings; approves a guide meeting the bar (no false-revise on a thin one), revises only on a named gap. Not for authoring it, the end-user user-guide, the endpoint catalog (api-reference review), or engineering design docs (design-review).
Use when reviewing/judging a release runbook (the go-to-production procedure for shipping a system to production) — deciding whether an unfamiliar engineer can execute, verify, and roll back from it alone. A gate, not authoring. Judges a single-sourced 11-condition executability + safety bar: every step copy-paste-safe + idempotent with an expected result; a go/no-go gate; a complete rollback (a revert per forward change, measurable triggers, roll-forward if irreversible); post-deploy verification reusing the test-plan criteria; escalation + monitoring; NO secret inlined (an embedded token/key is a finding); stateful-change safety (proportional); a comms window for a user-impacting deploy (proportional); commands spot-checked against the upstreams; nothing fabricated; a delta-scoped amend. Emits `VERDICT: approve|revise` + actionable findings; approves a runbook meeting the bar (no false-revise), revises on a named gap. Not authoring it, not the QA test-plan, not engineering design docs (design-review).
Use when reviewing/judging an end-user product guide — the consumer-facing help a typically non-technical person reads to accomplish product goals (tutorial, how-tos, explanation, a product feature/settings reference, troubleshooting, glossary) — deciding whether a real user can accomplish every supported goal from the guide alone. A gate, not authoring. Judges a single-sourced 12-condition usability + accuracy bar: one how-to per goal; the four Diataxis modes correctly typed (not conflated); a complete product reference (NOT the HTTP API); accurate steps named by their exact UI label; symptom-keyed troubleshooting; plain language a non-technical reader can follow; accessibility + findability; surfaced assumptions, no fabrication; a delta-scoped amend. Emits exactly `VERDICT: approve|revise` plus actionable findings; approves a guide meeting the bar (no false-revise), revises only on a named gap. Not authoring it, the developer adoption guide, the endpoint catalog, or engineering design docs (design-review).
Use when tasks involve reading and summarising an academic paper from either a PDF file or an arXiv URL. If the input is a PDF, convert it to images for accurate reading (equations/figures). If the input is an arXiv URL, download the LaTeX source to read. Output the summary as a standalone LaTeX file.
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
[user/auto] Use when an existing answer or document is hard to understand, needs to be shared with readers who lack the background, or when polishing Korean AI-style and translationese wording. Do not use for viewing session status, creating new visual explanation materials, or editing code.
Humanize natural-language memory files (CLAUDE.md, todos, preferences, docs) by removing AI-isms and adding burstiness while preserving every code block, URL, path, command, and heading exactly. Two modes: --deterministic (fast, regex-based, no API) and LLM (default, calls Claude for rewrite). Humanized version overwrites the original file. Plain backup saved as FILE.original.md. Trigger: /unslop-file <filepath> or "humanize memory file".
Drafts or rewrites a Related Work / prior work section positioned against actually-retrieved papers — derives the REQUIRED clusters from the paper's own claimed scope (not just whatever was retrieved), clusters prior work into themes, articulates the delta (what this paper adds) per cluster, enforces a per-cluster citation floor and routes empty expected clusters back to find-papers, follows the target community's placement and citation conventions (numeric ACM/IEEE vs natbib author-year, single- vs double-blind self-citation, where the section sits at NeurIPS/CHI/SIGMOD-style venues), and admits only verified citations. Use when the user says "related work", "prior work", "position my paper against the literature", "how do we differ from X", "reviewers said related work is thin/missing/a laundry list", or asks to add citations to a draft. Works from papers found via find-papers and/or an existing .bib — it never invents references.
Guide to review incoming one-way (unilateral) commercial NDAs in a jurisdiction-agnostic way, from either a Recipient or Discloser perspective (user-selected), producing a clause-by-clause issue log with preferred redlines, fallbacks, rationales, owners, and deadlines.
Rework a help article for scanability and self-serve deflection - one heading per step, prerequisites up top, troubleshooting at the end, tight prose a stressed reader can skim. Use when the user says "restructure this help article", "make this doc scannable", "this article is a wall of text", "reformat this for our help center", or "improve this article so customers stop filing tickets".
Studies exemplar papers from a target venue and produces an original style-and-structure brief — fetches best-paper awardees and top-cited papers on demand (DBLP, Semantic Scholar, Unpaywall, arXiv, open-access ACM DL) and analyzes section architecture, contribution framing, evaluation patterns, and figure/table conventions. Use when the user wants to study best papers or award-winning papers at a venue, find the most-cited papers and how they are structured, learn how successful papers at a conference are written ("what do winning SIGSPATIAL papers look like", "analyze NeurIPS best papers before I draft"), or model a draft on a venue's strongest work. Copyright-safe by design - papers are fetched from legal open-access sources and processed transiently, never bundled, stored, or committed; the output is metadata plus original analysis. Trigger words - exemplar, best paper, award-winning, most cited, top cited, model paper, venue style, paper structure.
Generate and maintain project documentation. Creates a lean README as a landing page with detailed docs pages split by topic in the configured docs directory. Use when user says "create docs", "write documentation", "update docs", "generate readme", or "document project".
Review the contract/agreement provided by the user for risky clauses, generate review opinions, and return the annotated reviewed contract document. Triggered when the user mentions document review, contract review, contract risk scanning, risk checks, clause checks, or doubts about contract content. (Trigger phrases: are there problems with the clauses, review the XXX contract, help me look at the risks of this agreement, are these contract terms unfavorable to me, etc.)
Trigger this skill when a structured summary is needed for legal documents such as judgments, rulings, mediation agreements, arbitration awards, and administrative penalty decisions. Typical triggers include but are not limited to: - the user asks for a summary of one legal document, key point extraction, or a generated holding - the user needs to turn multiple legal documents into standardized, comparable, searchable summaries - the user asks to extract case information, points of dispute, legal basis, or reasoning - the user needs summary material for case studies, litigation analysis, or lesson preparation - the user asks to distinguish the summary focus of different document types (judgment/ruling/mediation/arbitration/administrative penalty). The core value of this skill: on the basis of fidelity to the source text, turn lengthy legal documents into concise, objective, structured summaries, highlight the core content, and avoid restating the full text and subjective evaluation.
Convert Markdown documents to professionally typeset PDF files. Primary engine: reportlab (cover pages, frontispiece, back cover, bookmarks). Fallback engine: pandoc + XeLaTeX (better table handling, LaTeX-quality typesetting). Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, clickable TOC, watermarks, headers/footers, and page numbers. Supports multiple color themes and is battle-tested for Chinese technical reports. Trigger when user mentions "markdown to PDF", "md2pdf", "any2pdf", "md转pdf", "报告生成", "导出pdf", or wants a professionally formatted PDF from markdown.
Agent-callable Microsoft SharePoint tools — find sites and document libraries, browse, search, upload, move and share files, manage lists and list items, and author site pages. Use when the user mentions SharePoint or wants to work with SharePoint sites, files, folders, lists, or pages, even if they don't name SharePoint explicitly.
Professional DOCX document creation, editing, and formatting using OpenXML SDK (.NET). Three pipelines: (A) create new documents from scratch, (B) fill/edit content in existing documents, (C) apply template formatting with XSD validation gate-check. MUST use this skill whenever the user wants to produce, modify, or format a Word document — including when they say "write a report", "draft a proposal", "make a contract", "fill in this form", "reformat to match this template", or any task whose final output is a .docx file. Even if the user doesn't mention "docx" explicitly, if the task implies a printable/formal document, use this skill.
Writes National Natural Science Foundation of China (NSFC) grant proposals, covering the 2026 latest guidelines for the Young Scientists Fund (Category C), Excellent Young Scientists Fund (Category B) and National Science Fund for Distinguished Young Scholars (Category A). Provides a phased writing workflow: basic information, abstract, project rationale, research content, research foundation, CV, ethics and AI-assistance statements and other modules; includes literature search strategies and a quality self-check list. Tool-neutral, works with Claude Code / Cursor / Codex / OpenClaw / Gemini CLI. Trigger words: 国家自然科学基金, 国自然, NSFC, 青基, 青年基金, 优青, 杰青, 面上项目, natural science foundation of china, nsfc grant, 青年科学基金申报
Expert in generating, parsing, and manipulating PDF documents using tools like PDFKit, PDF.js, and Puppeteer. Use when creating PDFs, extracting content, merging documents, or filling forms. Triggers include "PDF", "generate PDF", "parse PDF", "extract PDF", "merge PDF", "PDF form", "PDFKit".
Build, revise, resize, export, and quality-check editable Point paid-social templates in PowerPoint and Canva-compatible formats. Use for seasonal or campaign social assets that require separate editable copy, logos, benefit rows, legal footers, and illustrations; approved Point brand assets; preview PNGs; transparent illustration exports; or production preflight.
Writes and rewrites text in Simplified Technical English (ASD-STE100), a controlled language for clear technical documentation. Use when the user asks for STE, Simplified Technical English, controlled language, or plain technical writing, and when the user asks to write, rewrite, review, or check technical documentation, procedures, manuals, instructions, warnings, or reports.
Inspect, profile, clean, reconcile, analyze, visualize, and verify spreadsheet data while preserving formulas, formatting, types, and source files. Use when working with .xlsx, .xlsm, .xls, .ods, .csv, or .tsv files; answering questions from a workbook; auditing formulas or data quality; comparing sheets or versions; producing pivots, charts, forecasts, or summary workbooks; repairing malformed tables; or validating that spreadsheet edits and calculations are accurate.
Generate AGENTS.md for end-user assistance. Covers setup, installation, running, and troubleshooting. Use proactively when user asks for "getting started" help or during /init user workflow. Examples: - user: "/init user" → user assistance AGENTS.md with official docs - user: "Create getting started guide" → installation + setup + troubleshooting - user: "Document how to use this repo" → user-focused AGENTS.md - user: "Help users run this software" → setup, prerequisites, usage patterns
Turns an informational or content video (a talking-head explainer, an opinion or analysis piece, a product-review-style clip, anything that isn't a software walkthrough) into a clean written article, built as a real, live article inside a Clueso project. Structured by argument or topic beats, not numbered UI steps. Supporting visuals come from real frames pulled out of the video where something on screen actually helps (a chart, a labeled object, a demonstrated comparison), and from generated images everywhere else a real frame wouldn't convey the point. Use when the user says "turn this video into an article", "write up this clip as a blog post", "make a written version of this explainer video", or uploads a piece of content (not a screen recording of software) and asks for an article from it.
Use this skill when the user wants to install, configure, download, or synchronize online resumes for candidates who applied to currently open BOSS/Zhipin recruiter jobs. Provides a cross-platform boss-agent-cli setup, standard CDP/Chrome conventions, persistent resume root, job/candidate JSON indexes, full and per-job incremental sync, and randomized delay during bulk downloads.
Use this skill when the user receives a court SMS (document delivery, case filing notice, hearing reminder, etc.), to automatically extract the case number, parties, and download links, download the documents, and file them into the corresponding case directory. It writes sensitive litigation data to local disk, so make sure the target location is private.
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.