Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
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Expert-level manufacturing systems, Industry 4.0, production optimization, quality control, and smart factory solutions. Use when the user mentions Industry 4.0, production, quality, MES, or PLCs, or when the task involves Manufacturing Systems, Standards and Protocols, Production Management, or Quality Management.
Use for Chinese-language or China-family-context family-doctor-style parenting and child health management: 育儿, 宝宝护理, 科学养育, 生长发育, 喂养, 母乳, 配方奶, 辅食, 睡眠, 湿疹, 过敏观察, 疫苗沟通, 居家观察, 宝宝档案, parenting.md tracking, 看病问诊, 病例归档, 父母焦虑, 家庭协作, visual parenting plans, or dad-focused caregiving. Also use as a safety bridge when a caregiver raises acute child symptoms in a parenting context. Do not use for diagnosis, prescriptions, medication dosing, lab reports, or adult-only health questions.
REQUIRED for end-user customization of Linux desktop, window manager, or system config. Use when editing ANY file in ~/.config/, ~/.config/hypr/, ~/.config/omarchy/, ~/.config/alacritty/, ~/.config/foot/, ~/.config/kitty/, or ~/.config/ghostty/. Triggers: Hyprland, window rules, window behavior, animations, keybindings, monitors, gaps, borders, blur, opacity, omarchy-shell, bar, widgets, terminal config, themes, fonts, background, night light, idle, lock screen, screenshots, screen recording, reminders, layer rules, workspace settings, display config, appearance changes, and user-facing omarchy commands. Excludes Omarchy source development through `omarchy dev link` workflows.
End-to-end pipeline: find engineering candidates, verify profile URLs via Crustdata, find emails (Crustdata enrichment, then public commit history), write personalized outreach, create Gmail drafts. Use when someone wants to go from “I need candidates for role X” to ready-to-send drafts. Trigger on: “source and email candidates”, “find engineers and draft outreach”, “build a candidate pipeline”, “find people for [role] and set up emails”, “automate candidate outreach”, “run the full sourcing pipeline”, “I have LinkedIn URLs for these candidates, find their emails and draft outreach”, or any variation where the goal is both finding candidates AND reaching out. Covers the entire loop — use individual skills (engineering-candidate-finder, contact-email-enricher, candidate-copy-drafter) only when the user wants just one part of the pipeline.
Prep for a cold-call — predict the professor's likely questions and drill them Socratically, flagging where you're shaky so you know what to re-read before class. Use when the user says "prep for class tomorrow", "cold call [case]", "what might [professor] ask on", or points at assigned reading.
Full launch review against your framework and risk calibration. Use when the user says "review this launch", "legal review for [feature]", "can we ship this", "what are the legal issues with [product]", or references a launch tracker ticket or PRD that needs a category-by-category review memo.
Structured intake — practice-area templates, cross-area issue spotting, conflict flags, and triage classification. Produces a formatted case summary the student analyzes and the professor reviews. Does NOT decide case acceptance. Use when starting a new client intake, running an intake interview, or writing up a new client's situation.
Reference: shared framework for managing internal investigations from intake through final memo — privileged investigation log, document processing with needle-finding, source coverage tracking, Q&A against the log, memo drafting, and audience summaries. Loaded by /investigation-open, /investigation-add, /investigation-query, /investigation-memo, and /investigation-summary; not invoked directly.
Deeper risk assessment for a single feature or product area when the launch review found something that needs more than a line item. Structured analysis: what could go wrong, how likely, how bad, what mitigates it. Use when user says "deep dive on this risk", "risk assessment for [feature]", "what could go wrong with", or when launch-review flags a novel issue.
EU AI Act per-system inventory — track each AI system's role (provider, deployer, importer, distributor, authorized representative, product manufacturer) and risk tier (prohibited, high-risk, limited, minimal, GPAI, GPAI+systemic). Role and tier are assessed per system, not per company. Use when the user says "ai inventory", "add an ai system", "what systems do we have", "classify this ai system", "eu ai act register", or "ai system registry."
Fast "is this a problem?" answer for the quick Slack question — pattern-matches against your calibration. Use when the user says "is this a problem", "quick question", "can we do X", "do I need legal review for", "sanity check", or pastes a PM's question that needs a same-minute fine / needs a look / hold call.
Run an AI impact assessment — structured intake, risk analysis, regulatory classification per regime in scope, policy consistency diff, and recommendation with conditions. Uses the house-style structure learned from the seed impact assessment in `~/.claude/plugins/config/claude-for-legal/ai-governance-legal/CLAUDE.md`. Use when user says "impact assessment for", "assess this AI use case", "run an AIA", "generate an AIA", "we need to document this AI system", "AI risk assessment for X", or follows a conditional triage result.
People leadership for scaling companies. Hiring strategy, compensation design, org structure, culture, and retention. Use when building hiring plans, designing comp frameworks, restructuring teams, managing performance, building culture, or when user mentions CHRO, HR, people strategy, talent, headcount, compensation, org design, retention, or performance management.
Helps users send funds to another Stripe business, transfer money to a Stripe Profile handle or network ID, or ask whether an agent can pay a Stripe business. Use Stripe Directory to find or verify a recipient when the user doesn't provide an exact Stripe Profile handle or network ID
Classify a proposed worker engagement — employee, IC, temp, or vendor — by running the applicable jurisdiction tests and flagging misclassification gaps between the intended arrangement and what the facts actually support. Prospective use only. Use when someone says "we want to bring on a contractor", "is this a vendor or a temp", "how should we classify this person", or describes a proposed working arrangement.
REST recipes to configure and manage a Wix site's business solutions—stores, bookings, donations, payments, CMS, and more. Open the matching recipe for the exact endpoint, method, and payload before calling; never guess a Wix API or write a Wix dashboard URL from memory. Routes to: automations, stores, bookings, donations, get-paid, CMS, contacts, forms, media, app-installation, custom-apps, pricing-plans, restaurants, ricos rich-content, sites, collaborators, blog, calendar, domains, events, site-properties, ecommerce, marketing, google-ads, google-business-profile, analytics, accessibility, seo, dashboard-navigation
Query OpenSea marketplace data — listings, offers, sales / events, floor prices, collection stats, drops, traits — and execute Seaport trades via the official `@opensea/cli` and OpenSea REST API across Ethereum, Base, Arbitrum, Optimism, Polygon, and more. Includes search across collections / NFTs / tokens / accounts. NOT for general NFT metadata reads (name, image, traits, ownership), token metadata, current wallet balances, transaction history, or live RPC reads — for those use `alchemy-cli` (live), `alchemy-mcp`, `alchemy-api` (app code), or `agentic-gateway` (no API key). For pure cross-chain token swaps (no marketplace context), prefer the `lifi` ecosystem skill. Requires `OPENSEA_API_KEY` (instant via API).
Run a focused N-question study session on a subject — MBE, essay, or flashcards. Tracks performance and updates the study plan. Use when the user says "run me 10 questions on [subject]", "do a session on [subject]", "let's do 5 cards on [subject]", or wants to drill a fixed number of questions and have the plan adapt.
US stock market sentiment monitoring and position recommendation system. Evaluates market sentiment by tracking 5 core indicators (NAAIM Exposure Index, Institutional Equity Allocation, Retail Net Buying, S&P 500 Forward P/E Ratio, Hedge Fund Leverage) and outputs sentiment ratings and position recommendations. This skill should be used when the user mentions topics such as US stock sentiment, market overheating, greed/fear indicators, NAAIM, institutional positioning, retail sentiment, P/E valuation bubbles, hedge fund leverage, whether to reduce positions, market risk assessment, position management advice, market top/bottom signals, etc. Even if the user simply asks "Is the US stock market risky right now?" or "Should I reduce my positions?", this skill should be triggered to provide a structured analytical framework.
Jurisdiction-aware wage/hour and employment Q&A — classification, overtime, meal/rest breaks, leave, final pay — answered for the specific state/country with the controlling rule researched and cited rather than stated from memory. Use when the user asks any employment law question, or says "what's the rule in [state]", "is this exempt", "do we have to pay overtime for", or "can we classify this as".
Skip the Airbnb platform fee. Find the host's direct booking site for any Airbnb listing. Trigger phrases: `find the direct booking site`, `skip the airbnb fee`, `vacation rental cheapest`, `book direct`, `use airbnb-pp`, `run airbnb-pp`. NOTE: VRBO support is currently disabled — pending Akamai workaround.
Dutch volleyball data (Eredivisie, Topdivisie, Superdivisie, and the full Dutch pyramid) via the Nevobo API. Standings, schedules, results, clubs, tournaments, and news. Zero config, no API keys. Use when: user asks about Dutch volleyball, Eredivisie volleyball, Nevobo, volleyball standings, volleyball match results, volleyball schedules, or Dutch volleyball clubs. Don't use when: user asks about other sports — use football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), tennis-data (tennis), or fastf1 (F1). For betting odds use polymarket or kalshi. For general news use sports-news.
World Cup match prediction and pre-match intel for football (soccer) fans: predict who will win and a likely scoreline, backed by structured, verifiable evidence -- player profiles, squad dossiers, current form, head-to-head records, and past-tournament history -- using AnyCap web search and crawl. Weighs FIFA ranking, recent form, head-to-head, and key players, plus any user-defined dimensions (home advantage, injuries, rest, weather, vibes), then makes a clearly-labeled for-fun call with a confidence level and a mandatory disclaimer. Built on the 'search less, not faster' strategy: narrow the search space first, retrieve only what matters, then verify against authoritative sources. Use when a fan wants a World Cup match prediction, predicted score, or who-will-win call; wants a player's profile, bio, form, or stats; wants a full World Cup squad or national-team lineup table; wants to size up two teams before a match; or wants head-to-head and past World Cup context. Trigger on: World Cup prediction, predict the score, who will win, match prediction, predicted scoreline, World Cup, World Cup squad, national team lineup, pre-match analysis, matchup, player form, footballer stats, player profile, head-to-head, or scout a team.
Student semester onboarding — clinic procedures, tool walkthrough, practice exercises before real cases. Reads the handbook the professor uploaded at setup and teaches it interactively. Use when a new clinic student says "onboard me", "I'm new to the clinic", "getting started", or at the start of each semester; pass --card for the one-page reference.
Build, measure, and evolve company culture as operational behavior — not wall posters. Covers mission/vision/values workshops, values-to-behaviors translation, culture code creation, culture health assessment, and cultural rituals by stage. Use when building company values, assessing culture health, designing cultural rituals, creating culture codes, handling culture clashes, or when user mentions culture, values, culture debt, founder culture, or culture code.
Cross-functional organizational health check combining signals from all C-suite roles. Scores 8 dimensions on a traffic-light scale with drill-down recommendations. Use when assessing overall company health, preparing for board reviews, identifying at-risk functions, or when user mentions org health, health check, or health dashboard.
Your AI CFO for bootstrapped startups, named after Charlie Munger, who embodied the principle that capital discipline is a competitive advantage. Provides financial frameworks for cash management, runway calculations, unit economics (LTV:CAC), capital allocation, hiring ROI, burn rate analysis, working capital optimization, and forecasting. Use for questions like "should we make this hire?", "how much runway do we need?", "what metrics should I track?", "how do I forecast revenue?", or any strategic financial decision at a self-funded company.
Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on/risk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.
Create a Sumsub applicant workflow — verification routing (levels, branches, country/age rules, final-rejection or manual-review steps) or an action workflow (post-verification tagging, notes, source-key changes). TRIGGER on requests to create/build/add a workflow or a flowchart-style routing description. Builds, validates, and saves a draft, then publishes it — gated by live traffic — automatically when the workflow's traffic is low, only after explicit confirmation when it's high. Publishing changes LIVE traffic — see the Danger section. SKIP for editing arbitrary fields of an existing revision, or for questionnaires/levels (separate skills).
Macro liquidity monitoring and risk early-warning system. By tracking 4 core indicators (Fed Net Liquidity, SOFR Overnight Financing Rate, MOVE Treasury Volatility Index, Yen Carry Trade Signals), it provides real-time assessment of liquidity conditions in the global financial system, outputting liquidity ratings and risk response recommendations. When users mention topics such as liquidity, Fed balance sheet reduction (QT), TGA account, reverse repo ON RRP, SOFR rate, MOVE index, Treasury volatility, yen carry trade, USDJPY and interest rate differentials, impact of QT on markets, whether money is tight, liquidity inflection points, tightening financial conditions, etc., this skill should be used. Even if users ask broadly "how is liquidity right now" or "is the Fed draining or injecting liquidity," this skill should be triggered to provide a structured analytical framework.
Expert trading partner for Options, Stocks, Crypto, Commodities, Gold, Silver, Oil, VIX, and Forex. Covers technical analysis (Elliott Wave, Wyckoff, Fibonacci, Markov Regime, Turtle), options strategies (25+ including iron condors, credit spreads, naked puts, PMCC, gamma scalping), Greeks analysis, risk management, and sentiment signals. Use when analyzing any market, designing options trades, evaluating positions, calculating Greeks, discussing trading strategies, or asking about price action on any asset class. Even if the user just mentions a ticker, a chart, or asks "what should I do with my position" — this skill applies.
Connect directly to the Amap (Gaode) Web Service API via scripts for geocoding, reverse geocoding, IP location, weather, route planning, distance measurement, and POI queries. Use when the user asks for "Amap queries", "route planning", "geocoding", or "POI search", or when the Amap API needs to be called from a command-line script.
Generates a complete execution plan for a single trade, including entry conditions, position sizing, stop-loss and take-profit, validation checkpoints, and contingency actions. Suitable for pre-order rehearsal, comparing candidate stocks, organizing pre-market plans, and team review scenarios.
A valuation and pricing framework focused on valuation analysis, pricing logic, and investment decisions. This skill is mainly for answering user questions and writing reports or financial articles. Its output is extensive and is not suited to simple conversations. Information and data can be obtained using the wind.financial.data tool with appropriate keywords or keyword combinations. Use when the user wants to know how a company should be valued, its current valuation level, why the market assigns that valuation, or whether there is room for revaluation.
Corporate-structure profile for a single listed company via Longbridge Securities — institutional/major shareholders, executives and key personnel, company overview (founding, employees, IPO, address), corporate actions (splits / dividends / rights / bonus), and parent–subsidiary investment relations. Read-only, one symbol per call. Triggers: "谁是大股东", "股东结构", "管理层", "董事会", "公司简介", "公司基本信息", "拆股", "送股", "派息历史", "配股", "母公司", "子公司", "持股变动", "誰是大股東", "股東結構", "管理層", "公司簡介", "派息歷史", "持股變動", "shareholders", "major shareholders", "ownership structure", "executives", "management team", "board of directors", "company profile", "corporate actions", "splits", "rights issue", "bonus issue", "parent company", "subsidiaries", "AAPL.US shareholders", "700.HK executives".
AI tarot reader that interprets tarot cards from a Jungian psychology perspective. Supports 12 spreads of 1, 3, or 5 cards. Use when the user asks for a tarot reading, card drawing, daily fortune, or mentions keywords such as tarot, divination, drawing cards, fortune telling, luck, or spreads.
Order placement and trading tool for **CEX centralized exchanges** (Binance / OKX / Bybit / Bitget, etc.). Strict rules: (1) All orders must be placed via `node scripts/exchange.mjs create_order`; writing custom code to place orders is prohibited. (2) `create_order` takes two steps: the first call returns a preview that is shown to the user for confirmation; after the user confirms, call it a second time with `confirmed=true`. (3) Automatic confirmation and skipping the preview are prohibited. (4) Closing positions must use `close_position`; building closing orders with `create_order` is prohibited. Trigger keywords: 'buy on okx', 'sell on binance', '在 OKX 买 BTC', '在 Binance 下单', '做多 BTC 永续', '杠杆做空 ETH', '平掉我的 SOL 仓位', 'CEX 下单', '现货买入', '合约开仓', '永续平仓', '止盈止损', 'long', 'short', 'leverage', '买', '卖', '下单', '做多', '做空', '开仓', '平仓', '平掉', '关仓'. **Routing hint**: when the user says "on-chain swap / Uniswap / buy PEPE on DEX / buy on Solana", that is **on-chain DEX trading** and should go to `aicoin-onchain`, not this skill. Order placement on Hyperliquid also goes through aicoin-onchain (HL is an on-chain perp DEX), not here. This skill **only** handles CEX spot + perpetual futures order placement.
Account holdings — stock positions, fund positions, multi-currency assets / cash, margin ratio (initial / maintenance / forced liquidation), and estimated max buy/sell quantity for a symbol. Requires longbridge login. Triggers: "我的持仓", "我有什么股票", "账户余额", "我有多少美金", "基金持仓", "我能买多少股", "保证金率", "杠杆要求", "账户全貌", "我的持倉", "賬戶餘額", "我有多少美金", "基金持倉", "保證金率", "賬戶全貌", "my holdings", "stock positions", "account balance", "how much can I buy", "margin ratio", "max buy qty", "portfolio snapshot".
Value investing stock analysis tool combining the Buffett + Duan Yongping frameworks, with automatically generated five-dimension analysis, valuation, position-building, and options recommendations. Suitable for US/HK stock research, post-earnings reviews, monthly seasonality analysis by year, and scenarios requiring mid-term election cycle/holiday effects and screening for defensive stocks during downtrends.
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.