Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Documents
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of "Word doc", "word document", ".docx", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a "report", "memo", "letter", "template", or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
Make bespoke edits to a DOCX agreement generated by OpenAgreements (or any existing DOCX), using Safe Docx MCP tools for surgical, formatting-preserving edits and tracked-changes outputs. Use when user says "edit this contract," "change a clause," "modify the agreement," "custom edits to the docx," or "bespoke changes to the document."
Design and author structured technical proposals, responsive artifacts, architecture diagrams, Mermaid charts, and interactive components. Use when creating standalone markdown reports, architectural specifications, Mermaid diagrams, or interactive artifact widgets — even if the user does not explicitly say "fable-artifact" (e.g. "create an artifact", "draw an architecture diagram", "write a technical proposal", "generate a mermaid flowchart"). Do NOT use for quick one-line conversational answers.
Generate technical documentation for Vue components under core/ui2-components and sync it to the Feishu knowledge base and local markdown files. Supports creating and updating component docs, including API information such as Props, Slots, Events, and Methods. Feishu uses the lark-table format, while local files use standard markdown. Triggered when the user mentions "component docs", "ui2 docs", "sync Feishu", or a specific component name.
Feishu campaign plan requirement analysis — extract gameplay descriptions and numeric calculations from Feishu documents, summarize them grouped at section granularity, and output a structured requirement document for code generation. Triggered when the user mentions "analyze requirements", "requirement document", "Feishu plan", or "analyze plan".
Read/write Feishu/Lark cloud documents, send/search messages, manage calendar/meetings, operate bitable (multi-dimensional tables), and manage group chats via the official Remote MCP service and Open APIs. Works with Claude Code, Cursor, Codex, OpenCode, OpenClaw, and other AI coding agents. Trigger this skill when the user mentions Feishu, Lark, cloud docs, read/search/create documents, messaging, sending messages, meeting, calendar, bitable, multi-dimensional table, 多维表格, 日历, 会议, create group, 创建群, or provides a Feishu/Lark document URL.
This skill provides complete Fountain screenplay format syntax reference. Covers title page, scene headings, action, character names, dialogue, transitions, notes, sections, and all special formatting elements. Use when: writing or editing .fountain files, validating screenplay format, converting between formats, or teaching Fountain syntax.
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.
Use MinerU to convert complex PDF documents into LLM-friendly Markdown/JSON. Applies to: (1) PDF to Markdown/JSON, (2) extracting text, tables, formulas, and images from PDFs, (3) parsing academic papers, technical documents, and business reports, (4) preparing document data for RAG applications, (5) batch processing PDFs. Trigger keywords: "PDF parsing", "PDF to Markdown", "extract PDF tables/formulas", "MinerU", "parse PDF", etc. Not for: reading/filling in/signing/splitting and merging PDFs (use the host pdf tools), parsing non-PDF formats such as Word/PPT, and cases where you only need to read a few pages (just read them directly, no conversion needed).
A professional PPT design and production skill that creates polished, professional presentations based on design best practices. Covers core design principles such as typography, color schemes, image handling, and visual hierarchy. Use when users need to create high-quality PPTs, improve an existing PPT design, learn PPT production techniques, or need professional presentations for business pitches, academic reports, creative proposals, and similar scenarios. Can work with the seedream-imagegen skill to generate customized images for PPTs.
Build and maintain local code-project wikis under .wiki or language-specific wiki roots such as .wiki-cn and .wiki-fr. Use this skill whenever the user mentions "wiki", "ingest", "refresh wiki", "update wiki", "lint wiki", "check wiki", "document the codebase", "export wiki", "bundle wiki", "archive wiki", or asks a question that can be answered from wiki pages. Also use it when the user asks how something works in the project and a wiki page could capture the answer for future reference.
Structural feedback on legal writing drafts (memos, advocacy briefs, papers, bar exam essay answers) — organization, depth of analysis, clarity, citation format. Never ghostwrites or rewrites. Use when the user says "give feedback on my memo", "read my draft", or "critique my brief".
Full-cycle literature workflow skill. Prerequisite: merge and deduplicate bibliographic records exported from multiple sources (see references/multi-source-retrieval.md). Four modes: (1) search; (2) reading and review; (3) insert \cite{} in LaTeX; (4) generate BibTeX. See also non-zotero-bibliography.md (EndNote/Word, etc.). For systematic review screening and PRISMA, see the systematic-review-lite skill
Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions "markdown to PDF", "md2pdf", "any2pdf", "md转pdf", "报告生成", or asks for a "typeset" or "professionally formatted" PDF from markdown source.
Build evidence-traceable market research reports and assumption-driven market sizing or forecast scenarios. Use for market definition, industry and customer evidence, competitive landscapes, TAM/SAM/SOM reconciliation, forecast sensitivity, and auditable report scaffolds.
Look up paper metadata and citation counts with the bounded Google Scholar helper or host-provided browser when requested, and explore citing papers only on request. Guide rigorous, source-grounded close reading of academic papers, technical reports, PDFs, sections, figures, tables, and appendices through either guided interactive reading or autonomous full-paper analysis. Use when the user asks to read a paper closely, continue to the next section, explain selected text, follow a three-pass reading process, inspect cited visual evidence, critique experiments, resume a multi-turn reading, or produce reusable research notes with precise source locations, methods, metrics, limitations, and task transfer.
Assembles branded, export-ready proposals from brief, research, and pricing artifacts — type-adaptive for pitch, RFP, or scoping. Use when the user asks to generate a proposal, draft a pitch/RFP response/scoping doc, export final-proposal PDF/DOCX/HTML, revise a proposal draft, or add visuals to a proposal. Triggers: 'generate the proposal', 'draft the pitch', 'write the RFP response', 'export proposal to PDF', 'regenerate proposal', 'proposal from Acme brief'.
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
Automatically process multiple recruitment markdown documents, recognize images in the documents (including online image links), extract key information (position, salary, deadline, etc.), filter by user criteria, and generate a structured summary report
Create a new resume, or tailor an existing one to a job description (JD), by directly writing an editable HTML source file, and deliver a printable PDF at the end. Use when the user needs to: (1) create a brand-new resume from scratch; (2) revise an old resume, especially to tailor it to a JD.
Parse resumes and CVs (PDF, Word, images) into structured JSON profiles using SoMark for accurate document parsing. Extracts name, contact info, work experience, education, skills, and certifications. Ideal for HR workflows, candidate review, and talent intelligence. Requires SoMark API Key (SOMARK_API_KEY).
Plan rebuttals, reviewer responses, and revision strategies for research papers. Use this skill whenever the user shares peer reviews, reviewer concerns, meta-review text, acceptance/rejection feedback, or asks how to respond to Reviewer 2, what experiments to run for rebuttal, what to concede, how to phrase a response, or how to prioritize limited rebuttal space. This skill focuses on strategy and response structure; use results-writeup for writing new result prose after the strategy is decided.
Draft and fill Y Combinator SAFE contract templates — valuation cap, discount, MFN, pro rata side letter. Standard startup fundraising documents for convertible equity. Produces signable DOCX files. Use when user says "SAFE," "simple agreement for future equity," "YC SAFE," "valuation cap," "seed round documents," or "fundraising paperwork." Includes lawyer-reviewed practice guides; see openagreements.org/editors.
Turn a technical design doc into a product/QA-readable technical review markdown (business language + Mermaid). Hard-gates §1 background/goals until the user explicitly approves before writing the file. Triggers — 「技术评审文档」「生成评审文档」「design to review」「tech review doc」「写技术评审」. Do NOT use for marketing articles (article-writer), code PDCA (solve-workflow), or AI de-slop rewriting (humanizer).
A systematic review and semantic audit skill for theses. From the perspective of a graduate advisor or blind reviewer, it performs a comprehensive quality check (topic and literature review, theory and methods, workload and results, logical structure, and writing conventions) as well as a detailed semantic review (semantic repetition and redundancy, terminology conflicts, inconsistent wording, cross-chapter repetition, and broken transitions). **For full-thesis or chapter-level reviews, an AI-trace check (humanizer-zh mode) is performed by default** and reported alongside the semantic and high-level reviews. See references/review-checklist.md for the cross-chapter checklist. See the repository root README.md for the academic integrity agreement
Engineering foundation skill for writing high-quality, compile-in-one-pass, edit-safe TikZ/LaTeX figure code. Teaches the agent to use "layout by construction" (positioning/fit/chains/anchor) instead of "hand-filled absolute coordinates", with 8 hard constraints, canonical arrows, before/after examples, and a static check entry point (lint.sh). Use when: writing/reviewing TikZ or LaTeX figure code, fixing figure layout/alignment/overflow/arrow problems, tikz layout, latex figure code, tikz compilation errors, CJK Chinese figures rendering as color blocks.
Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.
Adversarial visual-layout audit of a Quarto `.qmd` or Beamer `.tex` deck. Flags overflow, font inconsistency, box fatigue, spacing, and alignment issues. Use when user says "visual audit", "check the layout", "does this overflow?", "look for visual issues", "audit the slides", or after reworking a deck's appearance. Does NOT check writing or pedagogy — pair with `/proofread` or `/pedagogy-review`.
Audit a white paper or long-form technical document against a research-grounded best-practices checklist. Two lanes — deterministic script checks (readability, undefined acronyms, structure blocks, broken links) plus an LLM-judge review (overclaims, inconsistent numbers, buried lede, limitations honesty, audience fit). Produces a prioritized P0–P2 findings report by default; applies fixes on explicit request (TDD for any code changes). Use when the user says "audit this white paper", "review my paper against best practices", "check this doc for overclaims", "whitepaper QA", "is this paper ready to publish", or wants prioritized recommendations on a technical document.
Use when researchers ask to remove generic, templated, or AI-like patterns from Chinese or English academic prose, make an AI-assisted draft sound more like the author's own scholarly voice, or audit a paper for “AI味”. Preserve every scientific claim, number, equation, citation, limitation, and uncertainty. Not for detector evasion or ordinary translation and grammar-only editing
Comprehensive API documentation quality checker supporting 7 quality dimensions, SDK source consistency validation, and multi-format reporting. Use for API review, documentation quality assessment, error detection, and consistency checks.
An intelligent chapter-structure refactoring skill that deeply analyzes and systematically restructures the writing approach, logical architecture, and content organization of entire academic-paper chapters. It rewrites chapters as a whole at an academic level by analyzing chapter intent, unpacking sentence meanings, and reorganizing the writing logic. Suitable for chapters with unclear logical threads, disorganized structure, nonstandard expression, or underused source material; commonly used for substantial sections such as methods, models, and experiments/case studies that need comprehensive reshaping.
This skill should be used when evaluating the quality of book chapters, lessons, or educational content. It provides a systematic 6-category rubric with weighted scoring (Technical Accuracy 30%, Pedagogical Effectiveness 25%, Writing Quality 20%, Structure & Organization 15%, AI-First Teaching 10%, Constitution Compliance Pass/Fail) and multi-tier assessment (Excellent/Good/Needs Work/Insufficient). Use this during iterative drafting, after content completion, on-demand review requests, or before validation phases.
Build a business / industrial report deck in PowerPoint or Canva — executive summaries, stakeholder updates, project/pilot results, quarterly business reviews, R&D-to-business reports, client deliverables, and internal decision decks for a non-academic audience. Use when the user wants PowerPoint or Canva (not LaTeX/Beamer) slides aimed at executives, managers, or clients, organized around situation/recommendation/impact rather than a paper's contribution: "make a PowerPoint report", "build a .pptx for the leadership review", "executive deck for our pilot results", "industrial report slides", "QBR deck", "Canva slides for the client". Two phases — slide-spec, then a real .pptx via the python-pptx builder (or import-ready content + a design spec for Canva). For academic talks/lectures use deck-beamer-academic; for proposal/report decks in LaTeX use deck-beamer-proposal-report.
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.