Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Other
Use when the user wants Google Shopping product search results through Frevana, including product titles, prices, ratings, source merchants, localized country/language results, pagination offsets, device-specific results, or Google Shopping sort order.
Help couples improve their relationship using time-tested principles of healthy partnership. Use when users ask about relationship advice, marriage improvement, couple communication, conflict resolution between partners, or when they mention relationship problems, marriage counseling, or want exercises to strengthen their bond with their partner.
Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure. Use when users ask for かんち式配当投資, dividend screening, dividend growth quality checks, PERxPBR adaptation for US sectors, pullback limit-order planning, or one-page stock memo creation. Covers screening, deep dive, entry planning, and post-purchase monitoring cadence.
Use when translating or localizing UI strings, marketing copy, documentation, or any source text into German (de). Enforces Sie/du consistency, der/die/das gender + 4-case agreement, V2 word order (verb-final in subordinate clauses), German quotation marks „...", compound-word formation, and replaces anglicisms with native German verbs.
MAGMA customer support first-line response knowledge. When a customer inquiry comes in, refer to product, size, restock, exchange/refund, and shipping policies to draft a polite first-line reply. Do not guess at uncertain information; mark it as requiring confirmation by the person in charge. Loaded from a webhook subscription to handle external inquiries.
Mathematics subject expertise for study notes, problem-solving, and explanations. Covers algebra, calculus, statistics, linear algebra, and discrete math. Provides formulas, proof strategies, and step-by-step solutions. Use when studying math topics, creating math notes, solving math problems, or explaining mathematical concepts. Triggers - math help, algebra, calculus, derivatives, integrals, statistics, linear algebra, proofs, equations.
Drive the Morpho lending protocol from the terminal via `npx @morpho-org/cli@latest` — queries vaults/markets/positions and prepares unsigned Morpho transactions with built-in simulation across all supported chains (Ethereum, Base, Arbitrum, Optimism, Polygon, Unichain, World Chain, Katana, HyperEVM, Monad, Stable). Invoke whenever the user asks to explore Morpho vault APYs / TVL / allocations ("best USDC vault on Base"), compare Morpho Blue markets ("ETH/USDC markets on Arbitrum"), inspect positions or health factor ("what are my Morpho positions"), or prepare any Morpho operation — deposit, withdraw, supply, borrow, repay, supply/withdraw collateral — even when the user doesn't explicitly name the CLI. If the user is writing application code that integrates Morpho, prefer the morpho-builder skill instead.
When the user wants to optimize delivery routes, solve vehicle routing problems, or minimize transportation costs. Also use when the user mentions "route planning," "delivery optimization," "VRP," "TSP," "multi-stop routing," "route sequencing," or "dispatch optimization." For fleet sizing and management, see fleet-management. For last-mile specific challenges, see last-mile-delivery.
Build with the Terra API Planned Workouts product (pre-release) – define a structured workout once and Terra API pushes it to users' devices. Use when pushing planned or structured workouts to Garmin, COROS, Wahoo, Suunto, TrainingPeaks, Huawei, Zepp, Hevy, or Apple watches, building training plans or workout templates, working with intervals, warmups, targets (HR, power, pace, cadence, RPE, zones), FTP or threshold-based personalization, athlete parameters, swimming or strength templates, or handling provider coercion warnings when a device cannot represent a feature.
Answer biomedical FACTUAL / recall / multiple-choice questions by querying ToolUniverse database tools instead of answering from memory. Triggers on any 'which gene/drug/variant/disease/pathway/miRNA/TF...' lookup, any question phrased 'according to <database>' (DisGeNet, OMIM, MSigDB, miRDB, GTRD, MGI, Ensembl, ClinVar, ChEMBL, OpenTargets, Reactome, GtoPdb, UniProt...), and multiple-choice biology/medicine knowledge questions where one option must be verified against an authoritative source. NOT for analyzing user-supplied data files (CSV/VCF/h5ad → use the data-analysis router) and NOT for open-ended literature synthesis. Use whenever a single correct answer exists in a public biomedical database and could be looked up rather than guessed.
When the user wants to optimize workforce scheduling, create shift plans, or balance labor demand. Also use when the user mentions "staff scheduling," "labor planning," "shift optimization," "crew scheduling," "roster optimization," or "employee scheduling." For task assignment, see task-assignment-problem. For wave planning labor, see wave-planning-optimization.
Control, organize, diagnose, design, personalize, and answer product knowledge questions for a Yeelight smart home. Use for Yeelight homes, rooms, areas, gateways, devices, groups, scenes, automations, lighting moods, preferences, local memory, recommendations, product manuals, FAQ, SKU lookup, and product pedia consultation. Requires the locally installed yeelight-home CLI runtime and must use only yeelight-home invoke --stdin.
Barry student English listening and speaking assessment + bottleneck diagnosis; in 10-17 minutes it produces three CEFR scores (speaking/listening/overall) + localised listening and speaking bottlenecks, and writes them to Section 2 + 3 of the student profile. All students follow the same flow: standardised test inquiry (reference anchor) → Chinese-to-English promotion system (starting at B1, level up on passing, level down on failure, measuring speaking CEFR + pronunciation question at the end) → 5-question stepped listening (measuring listening CEFR) + stage a/b bottleneck diagnosis → overall level placement → confidence check + write profile. For Chinese-to-English, the basic passing criterion is "getting the meaning across"; complex sentence patterns/advanced vocabulary are a plus. First runs for new students are triggered by barry-onboarding; returning students invoke it directly to reassess. Triggers: 测评, 英语水平测评, 诊断, English assessment, CEFR, 卡点.
Barry's English communication methodology as an always-available Q&A coach. Learners can invoke it at any time to answer 4 types of questions: ① English expression/words/translation/business usage (AI answers directly + 5-column bilingual entries + follow-ups add fancy-vocab); ② methodology concepts (answers via RAG from the corresponding original text in the methodology wiki installed with the toolbox, then expresses it adaptively in Barry's style); ③ training confusion (diagnoses with the methodology framework + gives concrete next steps); ④ changed circumstances (new job/progress/new goals) → guides running /barry-onboarding to re-assess the profile. **Does not edit learners' profiles, does not evaluate, does not keep Q&A logs**. Barry's style (direct, conversational, willing to express, always gives examples). Triggers: ask a question, consult, coach, barry coach, /barry-coach, how to say in English, what does it mean, how to translate, methodology, how to practice X, what level am I, what are A1/A2/B1/B2/C1/C2.
Standalone translation skills training for workplace learners. Two modes: coach mode (Filtering → de-shelling → surfacing the logic → re-expression → cultural adaptation, with coaching at each step) and fast mode (AI produces the translation directly and explains step by step what adjustments were made and why). The de-shelling step adapts to the learner's level — the higher the level, the less needs de-shelling. Triggers: 翻译技巧训练, 翻译训练, 练翻译, translation training.
Design customer service operations including tiered support (L1/L2/L3), response templates, SLA definitions, escalation procedures, and complaint handling. Use this skill when the user needs to set up a CS team, create service standards, design escalation flows, or improve response quality — even if they say 'our CS is a mess', 'how should we handle complaints', 'set up support tiers', or 'create CS SOPs'.
A senior expert assistant for China's college entrance examination (gaokao) question setting, offering professional guidance and review services. Suitable for creating gaokao questions, reviewing question quality, analyzing exam paper structure, and understanding question-setting trends. Combines document tools to extract and unpack files, web search to learn the latest trends, and analysis tools to evaluate question quality and paper structure. Covers the "one core, four layers, four wings" evaluation system, 2025 question-setting trends, question type conventions, scoring standards, and the question-setting process, in line with gaokao question-setting best practices.
Guides the Agent to consolidate case facts, statutes, judgments, issues, parties, evidence, contractual obligation relationships (a three-layer contract → clause → obligation model with risk-rating coloring) and subsumption results for elements (statute → element → fact applicability coloring), producing superset legal relationship graph data compatible with law-powers' index.html/data.js and writing it to data.js. On request, it can also produce a single-file dual-panel "litigation decision tree + causal pathway diagram" as a self-contained SVG (decision branches anchored to statute numbers and judgments, causal evaluations transcribed into a subsumption table), for attachment to pleadings and printing.
Use when translating or localizing UI strings, marketing copy, documentation, or any source text into Spanish (es). Asks the user to choose the variant (es-ES Spain, es-419 Latin American neutral, or es-MX Mexico) on first use, then enforces variant-specific formality (vosotros vs ustedes), vocabulary (ordenador vs computadora), tense system, currency, and idiom rules.
Bandpass, lowpass, bandstop filter design — hairpin, coupled-line, combline, stub, SIW for frequency selection and harmonic rejection. TRIGGER: user asks to design, create, or analyze any RF filter (bandpass, lowpass, highpass, bandstop, hairpin, coupled-line, combline, stub, SIW). Invoke BEFORE writing code — filter class names differ from what you would guess. SKIP: EM simulation/S-parameter extraction of an existing filter (use matlab-analyze-em), general PCB layout assembly (use matlab-assemble-pcb-layout), material/stackup setup only (use matlab-manage-pcb-material), optimization sweeps (use matlab-optimize-pcb-design).
Neta API community skill — browse the interactive recommendation feed, view work details, like and perform other community interactions, and browse content by tags and characters within the community context. Use this skill when the user wants to "just see what everyone is playing", "scroll the recommendation feed", or "interact with works"; it does not handle research at the category/keyword level or complex recommendation filtering (that is neta-suggest's job), nor does it directly generate images/videos/songs (that is neta-creative's job).
Reasoning skill for prior authorization clinical policy evaluation. Use when the user asks about payer clinical criteria, step therapy requirements, medical necessity definitions, CMS LCD/NCD coverage rules, appeals documentation strategy, formulary tier implications, or FHIR Da Vinci PAS implementation guidance. Triggers include "prior auth policy", "step therapy", "medical necessity", "coverage determination", "LCD", "NCD", "formulary tier", "PA appeal", "peer-to-peer review", "Da Vinci PAS", "clinical criteria", "PA denial", "drug authorization", "utilization management".
YC SAFE Agreement review and advisory skill for startup founders and lawyers. Use when user (1) uploads a SAFE agreement for review/comparison, (2) asks questions about how SAFEs work, or (3) requests to draft a standard YC SAFE. Triggers on keywords like SAFE, Simple Agreement for Future Equity, YC SAFE, valuation cap, discount, MFN, pro rata, convertible instrument.
Multi-agent trading analysis for a stock ticker. Runs technical, news, fundamentals, and macro analysts in parallel, then an adversarial bull/bear debate, then Research Manager, Trader, and Portfolio Manager to produce a final BUY/SELL/HOLD decision with entry, stop, and sizing.
The **unified entry point** of the Barry workplace English toolbox. Called when a new learner first encounters the toolbox — it shows a welcome message and guides them through the full 3-step onboarding (profile → assessment → solution); also called when returning learners need to re-run onboarding (because their situation changed). **This is the skill a learner should call on first launch** — it ties together how the whole toolbox is used, so learners don't need to know the name of each atomic skill. Trigger words: 开始、启动、开始学英语、英语训练、barry、barry-onboarding、english onboarding、how do I start、I want to learn english、欢迎、welcome.
Collection and updating of Section 1 (basic personal details) of the Barry student profile. A 10-20 minute guided in-depth interview that digs into the student's work context, pain points, goals, time commitment, and learning history, written to `~/.barry-english/profile.md`. First runs for new students are triggered by barry-onboarding; returning students invoke it directly to update the profile (when changing jobs/changing roles/adjusting goals). Triggers: 基本情况, 更新档案, 更新基本情况, 我换工作了, profile update.
Reasoning skill for healthcare claims billing rules and fraud detection logic. Use when the user asks about CMS billing rules, place of service codes, global surgery periods, modifier usage (25 59 76 77), NCCI edit logic, column 1 column 2 code pairs, mutually exclusive procedures, modifier indicators, fraud waste and abuse patterns, E&M upcoding, unbundling, phantom billing, impossible day detection, coding error versus fraud distinction, FWA investigation methodology, or claims audit logic. Triggers include "CMS billing rules", "NCCI edits", "modifier 25", "modifier 59", "global surgery period", "upcoding", "unbundling", "phantom billing", "impossible day", "FWA", "fraud waste abuse", "coding error vs fraud", "claims audit", "billing compliance", "E&M level selection".
Search products across 8 Chinese e-commerce platforms: Taobao, Tmall, JD, PDD, 1688, AliExpress, Douyin, XHS. Zero-config — no API keys needed. Powered by Shopme unified product database. Use when the user asks to find products, get product info by URL or ID, search Chinese suppliers, or compare prices.
Find roll options for existing short positions OR find best covered call/put to open against long stock. Use when user asks about rolling shorts, finding roll candidates, writing covered calls, or managing option positions. Requires TWS or IB Gateway running locally.
Search the JLCPCB electronic components database (~7 million parts) for hardware/electronics projects. Use when the user needs to: (1) Find electronic components (resistors, capacitors, inductors, ICs, connectors, diodes, transistors, MOSFETs, op-amps, microcontrollers, sensors, LEDs, etc.), (2) Look up specific part numbers, LCSC numbers (C-prefix), or manufacturer part numbers, (3) Find alternatives or equivalents for components, (4) Check component availability and stock at JLCPCB/LCSC, (5) Get component specifications (package type, footprint, description), (6) Search for parts for PCB assembly (PCBA) projects, (7) Find SMD or through-hole components, (8) Look up voltage regulators (LDO, linear, switching), audio jacks, connectors, or any other electronic parts. Keywords: JLCPCB, LCSC, electronic components, PCB parts, SMT assembly, BOM, bill of materials, component sourcing.
When facing a legal dispute, a case consultation, or preparing litigation strategy, this skill clarifies the facts of the case, maps the legal relationships, plans counterarguments, and organizes an evidence list; after the report is complete, it proactively offers a follow-up analysis menu (case law search, judgment analysis, element subsumption, relationship diagram, compliance review, text proofreading) for the user to choose and be referred to.
PDN DC voltage/current analysis, IR drop, design rule checking, and multi-net batch analysis on imported PCB layouts. TRIGGER: user asks about power integrity, PDN analysis, IR drop, voltage distribution, current density, power nets, or design rule checking on a PCB. Invoke BEFORE writing code — the PDN API chain is specialized and non-obvious. SKIP: importing a PCB file (use matlab-read-pcb-layout), EM field/S-parameter extraction (use matlab-analyze-em), material/stackup setup only (use matlab-manage-pcb-material), transmission line design (use matlab-design-pcb-transmission-line).
Use when a wallet wants to create a launch on Realbond (1% tax token; open to any wallet), when an Agent ID holder wants to bind its X account from a website-signed binding.json, buy (needs Agent ID + X binding) or sell a launch on its bonding curve, process tax or claim tax-token dividends (paid in the token), or check its binding or position on BSC. Every transaction goes through the Binance Agentic Wallet (`baw contract-call`) with a human confirmation before execution
Market signals → daily digest delivered before market open. Scans watchlist tickers for regime changes, technical setups, options flow anomalies, and IBKR position health — then delivers a prioritized action list. No IBKR distraction during 50-call BDR days. Use when: 'market digest', 'trading alerts', 'pre-market scan', 'watchlist check', 'what's setting up', 'trading morning brief', 'market open prep'.
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.