Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Documents
12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, I got reviewer comments, revision roadmap, should we push back, conference rebuttal, grant panel response, audit my rebuttal, check my response draft, AI disclosure, check citations, citation check, check my references, verify references, look over the refs, 寫論文, 學術論文, 引導我寫論文, 審查意見, 我收到審查意見, 修訂路線圖, 評估回覆, 檢查引用, 引用檢查, 檢查參考文獻, 核對文獻, 논문 작성, 초록 작성, 논문 수정, 논문 계획을 도와줘, 심사 의견을 받았어, 심사 의견 반영, 답변서 점검, AI 사용 고지, 인용 확인, 인용 형식 검사, enmendar mi artículo, redactar artículo, guía mi artículo, analizar reseñas, auditar mi respuesta, verificar borrador de respuesta, verificar citas, divulgación de IA.
Create a lean, decision-ready Product Requirements Document with an 8-section template: summary, contacts, background, objective, market segments, value propositions (6-part JTBD template), solution, and release. Lean by default (about one to two pages), with a fuller spec on request. Use when writing a PRD, documenting product requirements, preparing a feature spec, or reviewing an existing PRD.
Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images. Use when converting, OCRing, extracting from, redacting, signing, or filling documents via the Nutrient DWS API.
Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.
Capture architectural decisions as numbered ADR markdown files in docs/adr/ with context, alternatives considered, consequences, and an index README. Use when the user says 'record this decision' or 'ADR this', chooses between frameworks or databases, discusses trade-offs, or asks why the codebase is shaped this way.
Write and maintain technical documentation. Trigger with "write docs for", "document this", "create a README", "write a runbook", "onboarding guide", or when the user needs help with any form of technical writing—API docs, architecture docs, or operational runbooks.
Use when the user needs multi-source research with citation tracking, evidence persistence, and structured report generation. Triggers on "deep research", "comprehensive analysis", "research report", "compare X vs Y", "analyze trends", or "state of the art". Not for simple lookups, debugging, or questions answerable with 1-2 searches.
Translate visa document images (bank deposit, employment, income, and retirement certificates; HEIC, PNG, or JPG) into English via OCR and produce a bilingual PDF pairing the original image with a formatted certified-style translation. Use when a visa application needs a document translated to English, an official certificate OCR'd and translated, or a bilingual translation PDF for immigration paperwork.
Manage the files in a Cargo workspace — upload knowledge (PDF, CSV, text) and build native or connector-backed libraries that agents retrieve from (RAG), and use files as plain storage: write and read by path, list a folder, and share a signed or public link. Triggers: “upload this PDF,” “add these docs as knowledge,” “build a knowledge base,” “sync our help center into Cargo,” “what files are in the workspace,” “index this folder,” “attach our pricing sheet,” “store this file,” “save the report somewhere,” “give me a link to the file,” “make this file public.” Skip when wiring a file or library into an agent — use cargo-ai; when uploading a CSV that drives a batch run — that is a workspace-management file upload.
Skill for using the command-line tool pdftk (PDFtk Server) for working with PDF files. Use when asked to merge PDFs, split PDFs, rotate pages, encrypt or decrypt PDFs, fill PDF forms, apply watermarks, stamp overlays, extract metadata, burst documents into pages, repair corrupted PDFs, attach or extract files, or perform any PDF manipulation from the command line.
Multi-perspective academic paper review with dynamic reviewer personas. Runs a 5-seat, role-separated review panel (Journal-Fit Reviewer + 3 peer-review roles + Devil's Advocate) with field-specific expertise; role separation is not a claim of independent error processes. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy, 審查論文, 論文審查, 模擬審查, 同儕審查, 幫我審這篇, 以審查人角度評估, 審查者校準, 논문 심사, 동료 심사, 모의 심사, 심사자 관점에서 평가, 심사자 보정, revisar artículo, revisión entre pares, revisión de manuscrito, informe de árbitro, revisa mi artículo, criticar artículo, simular revisión, revisión editorial, calibrar revisor
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.
Generate ASCII art diagrams using PlantUML text mode. Use when the user asks to create ASCII diagrams, text-based diagrams, terminal-friendly diagrams, or mentions plantuml ascii, text diagram, or ascii art diagram. Supports converting PlantUML diagrams to ASCII art, creating sequence diagrams, class diagrams, and flowcharts in ASCII format, and generating Unicode-enhanced ASCII art with the -utxt flag
PDF converter powered by MinerU—convert PDF to Word, Markdown, HTML, LaTeX, or plain text. Also handles image-to-text OCR, scanned document recognition, and Office formats (DOCX, PPTX, Excel). Supports 80+ languages. Use this skill when the user wants to convert, extract, read, parse, or summarize any PDF or document. Also applies when the user shares a PDF file or link and asks about its content, needs tables or formulas extracted, wants PDF OCR, or says things like 'turn this into a doc' or 'what does this paper say'.
MANDATORY recipe for every Caffeine build that lists, reads, creates, shares, or organizes files and folders on the user's own Google Drive. The ONLY supported path is the `googledrive-client` mops package (Drive REST API v3) combined with the `google-oauth` mops package (OAuth 2.0 token exchange + refresh + PKCE). Hand-rolling `ic.http_request` calls to `oauth2.googleapis.com` or `www.googleapis.com/drive/v3` is a FORBIDDEN anti-pattern — it bypasses bearer auth, the `is_replicated = ?false` replication-cost safeguard, and the `google-oauth` library's token handling. Load this skill ONLY when the user, spec, or a prior task refers to **Google Drive specifically** — e.g. "Google Drive", "my Drive", "Drive files/folders", a Drive file/folder ID or share link, "upload to Google Drive", "list my Drive files", or Drive sharing/permissions. Do NOT load it for generic file storage, documents, uploads, or access-control features that are not Google Drive — those are unrelated and this connector must not be attached to them. When it does apply, load it BEFORE writing any code that touches a Google endpoint.
Create CodeTour `.tour` files — persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured "explain how this works" requests. Use when the user asks for a code tour, onboarding walkthrough, PR tour, or an explanation of how a subsystem works.
Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. Use this skill when the user asks for a diagram of their Azure resources or help understanding how the resources relate to each other.
Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS/MP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for file transformation at scale.
Converts books and documents (PDF, EPUB, DOCX, HTML, Markdown, plain text, RTF, MOBI/AZW with Calibre) into structured agent skills, extracting frameworks, mental models, principles, techniques, and anti-patterns. Use when the user wants to study a document through GitHub Copilot CLI, Amp, Claude Code, Hermes Agent, OpenCode, or OpenClaw, apply an author's frameworks while working, or build a reusable knowledge base from a file.
Common management for WeCom docs: search documents (recently viewed/created), rename documents, add document member permissions, and set document join rules. Applies to all document types (doc documents / online spreadsheets / smart spreadsheets / smart documents). Use wecomcli-doc to create or import doc documents; use wecomcli-sheet to create or import online spreadsheets; use wecomcli-smartsheet for smart spreadsheet content CRUD; use wecomcli-smartpage to generate smart documents. Requests like "which documents have been viewed / browsing history" should use this skill, not wecom_get_user_memory.
WeCom (企业微信) Drive (Disk) file operation skill. Handles listing, searching, reading metadata, uploading, downloading, renaming and creating folders for files in 微盘 (Drive). You must read this skill first for full instructions whenever the user explicitly mentions "微盘", "网盘" or "共享空间" — do not act from memory. Use this skill when the user says "upload to 微盘", "search for xxx in 微盘", "where is that PPT in 微盘", "download that file from 微盘", "rename that 微盘 file to xxx", or provides a 微盘 file link in the form `https://drive.weixin.qq.com/s?k=...`. Difference from `wecomcli-doc` / `wecomcli-sheet` / `wecomcli-smartsheet` / `wecomcli-smartpage`: this skill handles file-level operations on all files in 微盘 (including online documents) — search, listing, basic info, location, path, renaming; reading and writing the contents of online documents (types `doc/sheet/smartsheet/smartpage`) belongs to the corresponding document skills and is not handled here. When the user asks "where in 微盘 is this document" or about a file's location in 微盘, this skill returns metadata such as space name, folder name and path via get.
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory, coverage-bounded integrity checks, two-stage peer review, and auditable quality-assurance artifacts. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow, 연구부터 논문까지, 연구 주제 설정부터 논문 완성까지, 논문 전체 워크플로, flujo de trabajo académico, investigación a artículo, flujo completo de artículo, pipeline de investigación completa, publicación de investigación, flujo de trabajo completo del artículo.
Operate on Feishu cloud documents (Docx / Wiki): read, create, and edit documents; insert or download image attachments; and work with mind notes. Use when the user provides a document URL/token (including /docx/ or /wiki/ on doubao.com); route by URL path/token rather than domain. `/page/<token>` is a Miaoda app, not a Feishu cloud document. Route embedded document resources according to the unified rules in the reading reference. Use lark-drive for standalone comment operations; use docs +fetch to read comments alongside the main text. Operations on spreadsheet or Base internal data are outside this skill.
Feishu cloud storage (Drive): manage Drive files and folders, including uploads/downloads, folder creation, copying/moving/deleting, viewing metadata, checking permission settings, comments/permissions/subscriptions, titles, versions, Feishu document security labels (secure labels), and local file imports. Use when users need to organize Drive folders, handle cloud storage resource URLs/tokens, identify link types/actual tokens/titles, or import Word/Markdown/Excel/CSV/PPTX/.base as docx/sheet/bitable/slides. Route doubao.com cloud storage URLs/tokens by resource path and token too; do not fall back to WebFetch. Not responsible for: editing document content (use lark-doc), spreadsheet/Base table data operations (use lark-sheets/lark-base), knowledge space node/member management (use lark-wiki), or native Markdown file read/write/patch/diff (use lark-markdown).
Feishu Spreadsheets: create and operate spreadsheets. Supports worksheets and row/column structures (add/delete/merge/size/hide/freeze/group), cell read/write (values/formulas/styles/comments/cell images), range copy/move/sort/fill, find and replace, bulk updates, and creating and maintaining objects such as charts, pivot tables, conditional formatting, filters and filter views, dropdown lists, sparklines, and floating images. Also supports formula validation, restoring historical versions, and importing/exporting local Excel/CSV files and Feishu spreadsheets. Use when users need to create or edit spreadsheets, summarize and visualize data, format spreadsheets, calculate formulas (including migrating Excel formulas), or build financial models (DCF, three statements, budgets, Sensitivity, etc.). For multidimensional tables (Base/bitable), use lark-base. If users want to search for spreadsheet files in cloud storage (Drive/cloud storage) by name or keyword, use lark-drive's drive +search to locate resources first. When users provide a doubao.com /sheets/ URL/token, use this skill directly; do not fall back to WebFetch because the domain is not Feishu. Routing is based on the URL path pattern and token, not the domain.
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.