Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Schedule meetings, check availability, and manage calendars across Google, Outlook, and CalDAV. Routes to focused sub-skills for datetime resolution and calendar scheduling. Also available as temporal-cortex. Both listings install the same MCP server and share the same source code.
Advanced computer use patterns for UI automation, application control, and multi-step workflows using Claude's computer use tool. Use when automating desktop tasks, testing applications, analyzing screen content, controlling software programmatically, or building computer vision workflows. Supports zoom tool for enhanced vision on Opus 4.5, multi-step automation, and sophisticated application control.
Structured, multi-dimensional company investment research framework for AI agents and human analysts. Provides a 10-part checklist (moat, tech, market, customers, growth, financials, geography, governance, valuation, recommendation) to turn scattered info into a consistent, high-quality investment memo. | 面向 AI Agent 与人工分析师的公司投研框架，用 10 大维度系统梳理商业模式、护城河、成长与估值，快速产出结构化投研报告。
Run a multi-perspective Mind Council deliberation on any question, decision, or creative challenge. Use this skill whenever the user wants diverse viewpoints, needs help making a tough decision, asks for a council/panel/board discussion, wants to explore a problem from multiple angles, requests devil's advocate analysis, or says things like "what would different experts think about this", "help me think through this from all sides", "council mode", "mind council", or "deliberate on this". Also trigger when the user faces a dilemma, trade-off, or complex choice with no obvious answer.
Process Obsidian daily notes: classify raw URLs and loose ideas, fetch content (X tweets, GitHub repos, web pages), run deep research on ideas, create structured vault notes, replace raw items with wikilinks. Orchestrates doc-obsidian, res-x, and res-deep skills. Use when: processing daily note links, digesting saved URLs into notes, turning ideas into research, daily note cleanup. Triggers: daily digest, process daily, daily links, triage daily, digest daily note.
Generate draw.io diagrams from Mermaid, XML, or CSV code. Use this skill when the user requests any visual diagram including flowcharts, UML diagrams, ERD, architecture diagrams, mind maps, timelines, org charts, network topology, wireframes, BPMN, or any other visual representation. The skill creates a markdown link that opens the diagram in draw.io.
Call a Dust agent to get information (read a slack thread, a notion URL, a google drive document...), perform an action (post a message to slack, create a calendar event, ...), provide context on any topic regarding Dust (the company, current discussions, customers...) or in general have the Dust agent perform a given task.
Enterprise AI scenario map report generation tool. Uses web-search for in-depth research on company information and generates a structured AI application scenario map report following the V2.1 standard template, including company profile, business diagnosis, industry practices, a full AI scenario table, implementation roadmap, and other complete content.
Web toolkit powered by Exa, tuned for scientific and technical content. Use this skill when the user needs to search the web or fetch/extract URL content. Covers: web search (semantic lookups, research, current info — with optional research-paper category and academic domain filtering) and URL extraction (fetching pages, articles, academic PDFs in batch). Use this skill for web-related tasks when the user wants high-quality search or scholarly filtering via category=research paper. Triggers on requests to search, look up, fetch a page, or extract an article.
Design and audit feature request prioritization from support, sales, customer success, research, app reviews, community, analytics, and strategic accounts; covering evidence quality, segment fit, revenue risk, product strategy, effort, dependencies, fairness, duplicate clustering, communication, and close-the-loop decisions. Use when teams must decide what to build without overreacting to loud requests.
Turns a founder's idea into a written, researched product strategy — one open brain-dump per document, then a playback that confirms what was inferred and proposes answers for what was missing. Produces a numbered set in brief/ — 01 vision, 02 product definition, 03 mechanics (roles and permissions, sign-in, what each role lands on, object lifecycles, data protection, files, scale), 04 competitive landscape (researched by parallel web search), 05 strategy, 06 north star, 07 go-to-market, 08 OKRs, 09 platform — written in order, one per sitting or straight through, plus a machine-readable handoff a build can read. Re-invokable; it picks up wherever the folder left off. Use when someone with a product, startup, or side-hustle idea wants it thought through and written down — what they are building, who it is for, why them, and how it earns.
Create and manage Google Forms programmatically via MCP. Use when: (1) creating survey forms, (2) adding questions/sections to forms, (3) getting form responses, (4) converting AskUserQuestion to shareable forms. Covers setup, all tools, item ordering, and API limitations.
Apply Bhaskar's critical realism to analyze phenomena through three ontological domains (real, actual, empirical), identify generative causal mechanisms via retroduction, and examine structure-agency interplay. Use this skill when the user needs to go beyond surface correlations to underlying causes, design research that distinguishes mechanisms from events from experiences, or when they ask 'what causes this beyond the observed pattern', 'what structures enable or constrain this behavior', or 'how do I move from correlation to causal explanation'.
Apply dual-process theory to diagnose whether judgments arise from fast intuitive (System 1) or slow analytical (System 2) processing and identify resulting cognitive biases. Use this skill when the user needs to explain why quick decisions go wrong, design choice architectures that account for cognitive defaults, audit decision processes for heuristic errors, or when they ask 'why do people misjudge probability', 'how to reduce snap-judgment errors', or 'when does intuition fail'.
This skill should be used when working with a project knowledge base that follows the Karpathy LLM Wiki pattern. It provides workflows for ingesting source documents, querying the KB, running health checks (lint), verifying the wiki against the actual codebase (drift audit), capturing design decisions and lessons learned, initializing a new KB in a project, and migrating an older KB to the current schema. Trigger when the user mentions the KB, asks to ingest a source, run a query against the wiki, check whether the KB has drifted from the code, capture learnings, set up a knowledge base, or upgrade/migrate an existing KB.
Connect Lark (Feishu) messaging to OpenClaw via webhook bridge. Supports text, rich text (post), and image messages bidirectionally. Use when setting up Lark/Feishu as a messaging channel, receiving messages with images, sending replies back to Lark, reading Lark documents/wikis/bitables, or troubleshooting Lark integration issues. Covers both Lark International (larksuite.com) and China Feishu (feishu.cn).
Systematically helps users learn a brand-new technical domain and outputs an interactive HTML concept map. Solves the core problem of users "not knowing what they don't know" — proactively expanding the user's cognitive boundaries through the "relatedness method" and the "same-category method", mapping dependency/causal/conditional relationships between concepts, planning a learning path, and ultimately delivering a visual learning map with a check-in feature. Use this skill when the user expresses the following intents: - Wants to systematically learn or get started with a new domain ("help me learn XX", "I want to systematically understand XX") - Wants a learning map, concept map, or knowledge graph ("help me make a learning map of XX") - Wants to plan a learning path ("I want to get started with XX, help me plan", "how should I learn the XX domain") - Wants a panorama view of a domain ("help me figure out the full picture of XX", "what don't I know about the XX domain") - Wants to fill in their knowledge blind spots ("help me fill in the learning approach for XX", "I only half understand XX") - Wants to do technical research with structured output ("help me research XX and turn it into a concept outline") Even if the user only vaguely says "help me understand XX", as long as it involves systematically learning a technical domain of some depth, this skill should be triggered. Do not trigger it merely because the user asks a specific question about a domain — this skill is designed for "panoramic learning", not for answering a single question.
Searches and discovers academic papers across multiple sources (Semantic Scholar, arXiv, Tavily, Exa, Gemini deep research, AMiner, Google Scholar) with adaptive engine selection based on query type. Returns ranked, deduplicated results with metadata (authors, venue, year, citations, abstract, PDF link). Use when the user asks to find papers / literature / publications / preprints / references on a topic, search for related work, look up a specific paper by title or DOI or arXiv ID, find papers by an author, find recent SOTA / state-of-the-art work, survey a research area, or run a deep / comprehensive literature search with synthesis.
Chat with your agent about projects, recommendations, and canonical papers in Paperzilla. Use when users ask for recent project recommendations, canonical paper details, markdown-based summaries, recommendation feedback, feed export, or Atom feed URLs.
Build and update person dossiers from communication history. Use when a person is discussed for strategy, follow-up, opportunities, relationship context, or decisions. Use relevant authorized evidence from Front email, Granola summaries, scoped memory, and event metadata; then write/update a structured dossier in Vault/Resources/.
Design and implement Product Operations systems that help product teams scale (cadences, standard artifacts, insights pipelines, release enablement). Produces a Product Ops Operating System Pack (charter, operating model, rituals, templates, implementation plan). Use for product ops, product org scaling, standardizing roadmaps/check-ins, release management enablement.
Build stronger product taste + intuition as a PM by running a Taste Calibration Sprint (benchmark set, product critique notes, intuition→hypothesis log, validation plan, practice loop). Use for “product taste”, “product sense”, “intuition”, “calibrate taste”.
Iterative multi-round deep research with structured analysis frameworks. Use for: deep research on a topic, compare X vs Y, landscape analysis, evaluate options for a decision, deep dive into a technology, comprehensive research with cross-referencing. Triggers: deep research, compare, landscape, evaluate, deep dive, comprehensive research, which is better, should we use.
Optimizes programmers' Markdown resumes: improving technical descriptions, quantifying project results, highlighting technical strengths, and refining the skills section. Use when the user says "optimize my resume", "improve my resume", "rewrite my resume", "make my resume more professional", "improve my resume quality", or provides a resume file to optimize.
Imagines the decision has been made and failed — then diagnoses why. Breaks the commitment bias that prevents honest risk assessment after a direction is chosen. Triggers: 'pre-mortem', 'imagine this failed', 'what could go wrong', 'assume this doesn't work', 'failure mode analysis'.
Identifies group psychology shaping a discussion or team — groupthink, status dynamics, coalition formation, psychological safety. Triggers: 'group dynamics', 'why does this team behave like this', 'groupthink check', 'why won't people speak up', 'meeting dynamics', 'team dysfunction'.
Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.
The literature search and citation insertion skill of the SciPilot Skills family. Supports two input modes — Mode A: read the user's Word (.docx) or LaTeX (.tex) paper and insert citations in the corresponding sections of the body text; Mode B: take a passage/an idea/a claim provided by the user and output a list of references that support it (without modifying the document). Both modes search real literature in parallel across three sources — Semantic Scholar, OpenAlex and Crossref — verify authenticity with DOI + cross-validation across sources, then output in the user-specified format (IEEE/APA/Nature/Vancouver/GB-T-7714, etc.). Before every delivery, the Gate 8 end-of-chain hallucination gate audit is run mandatorily; FAIL means delivery is refused. Stage 0 must proactively ask the user about multiple preferences: number of references, format, year range, section, journal quartile, author preferences, institution preferences, whether preprints are included, etc. Silently using default values is forbidden. Trigger this skill when the user mentions any of the following: 添加参考文献, 插入引用, 找文献, citation, reference, 加引用, 补充参考文献, 文献检索, add references, find papers, insert citations, 找文献支撑观点, 用文献支撑这段话, support claim with literature, validate viewpoint with references, or when the user uploads a paper file and asks to add citations, or gives a passage/idea and asks to find literature to support it. It should also trigger even if the user only says "帮我的论文加几篇参考文献" or "scipilot 帮我找文献" or "这个观点有文献支撑吗". Part of the SciPilot Skills research skill family.
This skill should be used when the user asks to "search YouTube", "find videos about", "get a transcript", "download subtitles", "extract audio from YouTube", "scan a channel", "research a topic on YouTube", "get video metadata", "what videos exist about", "download YouTube audio", "YouTube research", "summarize this video", "what is this video about", "pull captions from", "grab the audio from", or provides a YouTube/Vimeo/video URL and wants to extract information from it. Also triggers on "batch download transcripts", "analyze a channel", or any multi-video research workflow.
Create, set up, or update the personal context portfolio: structured markdown files describing who you are, how you work, your teams, and your tool/ADO configuration. Runs the interview workflow for first-time setup and targeted edits for updates. Trigger this skill when the user asks to: set up their context, create or update their context portfolio, "create my IQ", "set up my IQ", edit their profile, add/remove a stakeholder, update ADO config, change team info, update pillars, or set up any plugin configuration. Trigger when another skill fails to find context (missing files or TODO markers) and needs context populated. Also trigger when the user mentions a context change in passing (e.g., "my manager changed", "we added someone to the team") to offer a context file update. Do NOT trigger for read-only questions like "who's on my team?" or "what's my ADO config?". Those are answered directly from the context files referenced in the loaded custom instructions; no skill is needed.
TRIZ systematic innovation methodology with AI-enhanced prompts. Use when: (1) Technical contradiction - improve A but B worsens, (2) Physical contradiction - need opposite properties, (3) Cross-industry solutions via FOS/MOS, (4) Technology evolution prediction, (5) Complex engineering problems. Triggers: "TRIZ", "contradiction", "inventive", "trade-off", "improve without worsening", "ข้อขัดแย้งทางเทคนิค", "innovation breakthrough"
Run structured What-If scenario analysis with multi-branch possibility exploration. Use this skill when the user asks speculative questions like "what if...", "what would happen if...", "what are the possibilities", "explore scenarios", "scenario analysis", "possibility space", "what could go wrong", "best case / worst case", "risk analysis", "contingency planning", "strategic options", or any question about uncertain futures. Also trigger when the user faces a fork-in-the-road decision, wants to stress-test an idea, or needs to think through consequences before committing.
Answer questions in the persona, tone of voice, and mindset of "程序员鱼皮". 鱼皮 is a former Tencent full-stack engineer, an AI + programming knowledge blogger with 2 million+ followers across platforms, CEO of the tech company 鱼鸢网络, and founder of 编程导航. Use this skill when the user wants programming learning advice, job-hunting guidance, project selection, technology direction judgment, startup experience, self-media operation advice, or AI programming practice guidance from 鱼皮's perspective. It also applies when the user explicitly asks to answer "in 鱼皮's style" or "like 鱼皮". Typical questions covered include: programming learning paths, how to write a resume, whether to accept a certain offer, what technology to learn, how to do open source, how to do self-media, what programmers should do in the AI era, and what pitfalls were hit during startups.
Use when writing or reviewing working text: a repository page, a code comment, a description or help text, a PR, an issue, a CI comment, a Notion page, or a diagram that a colleague will scan to get work done, or when a change moves code across the layers an architecture page declares. Not for a paper, an essay, or any text read start to finish.
Query KIRHA — a dynamic catalogue of authoritative data providers accessible from the command line. USE THIS SKILL whenever a question would be answered better by an authoritative source than by model memory or a generic web search: facts that change over time, provenance or citability, official records or canonical registries, claims to verify or fact-check, current documentation, or whenever accuracy beats guesswork. KIRHA's catalogue grows continuously and coverage is discovered at runtime, so do not assume in advance which domain applies. Prefer this skill over WebSearch when accuracy, freshness, or source-traceability matters. KIRHA returns structured facts from named providers, not scraped page summaries. Trigger EVEN IF the user does not mention KIRHA or "search" — if an authoritative source would answer better, this is the skill
Plan a large, multi-session, decision-heavy effort as a persistent decision map of tickets. Use only when the user explicitly invokes $decision-map; it maintains .scratch/<effort>/map.md and child decision tickets until fog clears, then hands off to project-spec
Live WhatsApp triage for the owner’s personal number on an always-on Mac: a local daemon reads WhatsApp Desktop’s own database read-only, a rule gate selects which message bursts warrant a headless Claude run, each run judges the conversation and drafts a reply, and a private board on the owner’s tailnet displays everything. It never sends: the owner presses send. Use when the owner wants it set up or an install continued ("set up whatsapp live", "install whatsapp live"), updated ("update whatsapp live"), operated ("is my whatsapp live running", pause, restart, logs), diagnosed ("why didn't this message show on my board", a failed run, a board that will not open), or removed ("uninstall whatsapp live"). NOT the WhatsApp Business or Cloud API, NOT an unofficial WhatsApp library or browser automation, NOT the export-based breakthrough-whatsapp-triage kit, NOT reading WhatsApp to answer a question (breakthrough-whatsapp-read).
Generate or update a mobile travel page from supplied itinerary and booking materials, with shared expenses, tasks and ticket status deployed through GitHub and Cloudflare Pages/D1. Use for travel webpage creation or maintenance, not ordinary travel questions or booking purchases
Official ProcessOn diagramming skill for creating, editing, searching, and exporting various diagram files in a ProcessOn account. Covers flowcharts, business process diagrams, swimlane diagrams, BPMN, sequence diagrams, UML diagrams, ER diagrams, architecture diagrams (system/software/cloud), network topology diagrams, Venn diagrams, circuit diagrams, floor plans, charts, UI prototypes/interface diagrams, roadmaps, infographics, pyramid diagrams, and sketch redraws; as well as mind maps, organizational charts, fishbone diagrams, timelines, tree diagrams, logic diagrams, table diagrams/tree tables, outlines, and knowledge organization/content summaries. Use for drawing flowcharts, making mind maps, generating charts, visualizing processes, organizing content into diagrams, saving diagrams to ProcessOn, and modifying, finding, or exporting your ProcessOn files.
Copies this whole Claude Code conversation to the clipboard as clean text: who said what, with times, a line where it was compacted, and no tool calls or their output. Ready to paste into another chat, a doc or an email. Also answers questions about the Copy chat button (the mod that comes with this skill). Use when the user asks to copy, export or move this conversation, or about the Copy chat button. Triggers: "copy this chat", "copy the conversation", "export this chat", "Copy chat button", "תעתיק את השיחה", "העתק שיחה", "להעביר את השיחה לצ'אט אחר". NOT for copying a single reply, a file or a code block.
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.