Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
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When the user wants to manage co-packing operations, select co-packers, optimize contract manufacturing, or coordinate outsourced production. Also use when the user mentions "contract manufacturing," "third-party manufacturing," "co-man," "toll manufacturing," "private label," "contract packaging," or "outsourced production." For capacity planning, see capacity-planning. For supplier selection, see supplier-selection.
Design progressive learning sequences that build foundational understanding before complexity. Use when breaking complex concepts into steps, managing cognitive load, or validating prerequisite understanding. Applies Bloom's progression and tier-based cognitive limits (CEFR A1-C2).
When the user wants to design CPG (Consumer Packaged Goods) distribution networks, optimize DC locations for retail distribution, or plan omnichannel fulfillment networks. Also use when the user mentions "CPG network," "retail distribution network," "DC strategy," "forward deployment centers," "store replenishment network," or "omnichannel distribution." For general network design, see network-design. For promotional supply chain, see promotional-planning.
Use this skill to answer questions related to the Diamond Sutra (Mahayana Buddhism, Prajna division) and when the user seeks spiritual or psychological advice on letting go of anxiety, workplace stress, and social labels using modern Buddhist interpretations from Master Nan Huai-Jin and Prof. Fei Yong.
Senior FDA consultant and specialist for medical device companies including HIPAA compliance and requirement management. Provides FDA pathway expertise, QSR compliance, cybersecurity guidance, and regulatory submission support. Use for FDA submission planning, QSR compliance assessments, HIPAA evaluations, and FDA regulatory strategy development.
When the user wants to account for property, plant and equipment or intangibles — capitalization, depreciation, disposals, impairment, or the fixed asset register. Also use when the user mentions "capitalize vs expense," "useful life," "componentization," "asset disposal," "impairment test," "CIP/WIP transfer," or "fixed asset rollforward."
Screen and evaluate resumes against criteria using ZhiPu GLM-V multimodal model. Reads multiple resume files (PDF/DOCX/TXT), compares against user-defined screening criteria, and outputs a Markdown table with pass/fail analysis. Use when the user wants to filter resumes, compare candidates, or batch-evaluate job applications.
A skill for retrieving 2026 FIFA World Cup data. It scrapes from Baidu Sports the group configurations, schedules and match details (analysis/lineups/match events/statistics/odds indices) of the 48 participating teams, team details (profile/lineups/historical results/data), player details (profile/updates/data/schedule) and ranking data (standings/player rankings/FIFA rankings), and connects to official sports lottery odds (win-draw-loss/handicap/score/total goals/mixed parlay) from China Sports Lottery. Use this skill when the user needs to look up 2026 World Cup teams, schedules, match data, lineups, historical results, rankings or sports lottery odds. A skill for retrieving 2026 FIFA World Cup data. Scrapes from Baidu Sports and sporttery.cn.
Interact with Home Assistant via the REST API on a NixOS host. Use when adding integrations, querying entities, managing config flows, creating API tokens, or automating HA setup programmatically. Also covers identifying device protocols (Matter, Zigbee, Thread, HomeKit) from the device registry. Trigger phrases: "add HA integration", "configure home assistant", "query HA entities", "create HA token", "HA REST API", "pair homekit", "set up matter in HA", "add spotify to HA", "is this device zigbee or thread", "what protocol is this device", "move devices to ZHA", "identify matter devices".
Monitors Bitflow HODLMM bins to keep LP positions in the active earning range. Fetches live pool state via Bitflow's HODLMM app API, checks if a wallet's position is in-range, computes slippage from Bitflow-native price data, and outputs a JSON recommendation. Read-only — rebalance actions require explicit human approval.
When the user wants to jointly optimize inventory and routing decisions, implement vendor-managed inventory (VMI) systems, or coordinate replenishment and delivery logistics. Also use when the user mentions "IRP," "inventory routing," "vendor-managed inventory," "VMI optimization," "integrated inventory and transportation," "delivery scheduling with inventory," "maritime inventory routing," "petrol station replenishment," or "coordinated inventory-distribution." For pure routing, see vehicle-routing-problem or route-optimization. For pure inventory, see inventory-optimization or multi-echelon-inventory.
JingSwap STX↔sBTC cycle monitor and participation agent. Reads live cycle state and prices directly from the Stacks contract via Hiro API and Pyth oracle — no API key required. Outputs PARTICIPATE / MONITOR / WAIT_FOR_DEPOSIT_PHASE / NO_SBTC_AVAILABLE with oracle-vs-DEX discount analysis.
Discovers connected MATLAB-supported hardware devices, searches by capability, and checks required support packages and add-ons. Use when the user asks what hardware is connected, finds a device that supports a capability (e.g., CAN, analog input), or checks if required support packages or add-ons are installed. Does NOT connect to, configure, or acquire data from devices — defers to device-specific skills for usage workflows.
Analyzes a single MLB game from a fantasy perspective given home team, away team, and date. Emits structured matchup signals -- opp_sp_quality, park_hitter_factor, park_pitcher_factor, weather_risk, bullpen_state -- and a short narrative of platoon implications (handedness matchup for hitters). Use when preparing daily start/sit calls, evaluating a streaming pitcher's environment, sizing weather risk, or when user mentions matchup analysis, park factor, opposing pitcher, weather risk, or platoon.
Review a business plan or product strategy through the eyes of a smart-money seed/Series-A investor. Asks the brutal questions: Is this fundable? What's the moat? What's the exit story? Outputs a verdict with one of four modes — SEED VIABLE / LATER ROUND ONLY / BOOTSTRAP-ONLY / UNFUNDABLE. Use when the user has a business plan and wants to know if it would survive an investor pitch. Triggered by: 'investor review', 'is this fundable', 'VC perspective', '投资人视角'.
Prediction market arbitrage & alpha scout. Searches Polymarket and Kalshi for the same event, runs cross-platform arb math (including fees), and ranks opportunities by profitability. Use when asked to "find arb", "scout markets", "find edge", or scan a specific topic across prediction markets.
Nano (XNO) cryptocurrency wallet operations, transaction analysis, and explorer lookups. Use for send/receive, balances, pending funds, address validation, unit conversion, tx/hash/account lookup, explorer links, and Nano block-lattice questions. Prefer xno-mcp first; use xno-skills CLI as fallback. Configured OWS wallets ARE the assistant's own wallets — never claim you cannot receive or hold Nano.
When the user wants to optimize order batching, group orders for efficient picking, or reduce picker travel distance. Also use when the user mentions "batch picking," "order grouping," "cluster picking," "multi-order picking," "batch-and-sort," or "zone batching." For wave planning, see wave-planning-optimization. For picker routing, see picker-routing-optimization.
Control Plex Media Server - browse libraries, search media, check what's playing, view recently added. Use when the user asks to "check Plex", "search Plex", "what's on Plex", "recently added", "who's watching", "Plex sessions", "Plex library", "browse movies", "browse TV shows", or mentions Plex media server.
Create and manage agentic wallets with Privy. Use for autonomous onchain transactions, wallet creation, policy management, and transaction execution on Ethereum, Solana, and other chains. Triggers on requests involving crypto wallets for AI agents, server-side wallet operations, or autonomous transaction execution.
End-to-end guidance for protein design pipelines. Use this skill when: (1) Starting a new protein design project, (2) Need step-by-step workflow guidance, (3) Understanding the full design pipeline, (4) Planning compute resources and timelines, (5) Integrating multiple design tools. For tool selection, use binder-design. For QC thresholds, use protein-qc.
Design protein sequences using ProteinMPNN inverse folding. Use this skill when: (1) Designing sequences for RFdiffusion backbones, (2) Redesigning existing protein sequences, (3) Fixing specific residues while designing others, (4) Optimizing sequences for expression or stability, (5) Multi-state or negative design. For backbone generation, use rfdiffusion or bindcraft. For ligand-aware design, use ligandmpnn. For solubility optimization, use solublempnn.
End-to-end real estate investment analysis skill. Use when users ask to analyze a property deal, run the numbers on a rental, evaluate real estate investments, build a pro forma, compare markets, calculate cap rate, cash-on-cash return, IRR, NOI, DSCR, equity multiple, or GRM. Also triggers on: BRRRR analysis, house hack evaluation, short-term rental (STR/Airbnb) analysis, commercial underwriting, multifamily deal analysis, syndication waterfall modeling, Monte Carlo simulation, sensitivity analysis, 1031 exchange planning, cost segregation, depreciation, real estate tax strategy, market comparison and scoring, rental property screening, deal screening, investor report generation, real estate financial modeling, rent-to-price analysis, development feasibility, value-add underwriting, API integration for real estate data (Census, Redfin, Rentcast, Mashvisor, AirDNA, ATTOM), or any real estate investment financial analysis task.
Build a RoadRunner Scenario programmatically from an OpenSCENARIO 1.x (.xosc) file using the `roadrunner-scenario-authoring` skill. Use when the user wants to recreate a scenario from a .xosc file, interpret an OpenSCENARIO file and build it programmatically, reconstruct a .xosc as a RoadRunner scenario, generate a MATLAB script from a .xosc file, or convert an OpenSCENARIO file to MATLAB code. Do NOT use when the user says "import" a .xosc file — that means they want RoadRunner's built-in importScenario API, not programmatic reconstruction. Handles position translation (LanePosition and RoadPosition to world coordinates), construct mapping, relative references, trajectory/route handling, parameter expressions, catalog references, and phase logic topology.
Programmatically author RoadRunner scenarios from MATLAB using roadrunnerAPI. Use when adding actors, creating routes, building scenario logic (phases, conditions, actions), placing vehicles/pedestrians, defining cut-in/crossing/ follow scenarios, or any programmatic scenario creation in RoadRunner. Triggers on: roadrunnerAPI, scenario authoring, add actor, create route, phase logic, cut-in scenario, pedestrian crossing, scenario from MATLAB.
Expert guidance for simulating RoadRunner scenarios via the MATLAB programmatic API and Simulink co-simulation. Use when the user wants to run a simulation, step through a simulation, control actors during co-simulation, add observers, attach sensors, retrieve simulation logs, or read/write scenario variables. Covers simulateScenario, createSimulation, ScenarioSimulation set/get, ActorSimulation getAttribute/setAttribute, addObserver, SensorSimulation, Simulink co-sim blocks, and publishActorBehavior. NOT for project setup, scene building, scenario authoring, or trajectory export.
Entry point for the psychology toolkit. Routes to the right psychology skill based on your situation. Use when you say 'psychology', 'what's driving this behavior', 'why is this person doing X', 'what biases are at play', 'how do I change a habit', 'how do I persuade', 'should I trust my gut', 'what motivates them', or want cognitive/behavioral analysis without knowing which specific tool fits.
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.