Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
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Triggered when legally significant facts need to be extracted from unstructured text such as case descriptions, party statements, chat logs, or media reports. Typical trigger scenarios include but are not limited to: - A user provides a case description in everyday language and asks for legal facts to be extracted - A user asks to convert a colloquial, emotional narrative into a fact structure usable for legal analysis - A user asks to distinguish "objective facts", "subjective judgments", and "legal evaluations" in a case narrative - A user asks to map extracted facts to the constituent elements of a specific legal relationship - A user asks to organize a case timeline or produce a fact-summary table - A user asks to convert everyday language into legal language (e.g. "he kept putting off repaying" → "failed to perform after the performance period expired") Core value of this skill: organizing mixed everyday narratives into a fact structure that can enter legal reasoning — a prerequisite step for legal analysis.
Translate market-moving news into investable alpha hypotheses by mapping observed demand changes to revenue lines, supply chains, small-cap financial elasticity, market misclassification, validation metrics, downside risks, and position-sizing conditions. Use when the user shares news, product launches, technology breakthroughs, procurement signals, supply-chain changes, earnings-call clues, or asks for Serenity-style alpha analysis, small-cap beneficiaries, or "news to financial statement" translation.
Read BEFORE writing any code that adds Additive White Gaussian Noise (AWGN) to signals and converts between SNR, Eb/No, Es/No, and per-subcarrier SNR for communications simulations, using awgn(), convertSNR(), berawgn(). The default MATLAB patterns for AWGN (e.g., 'measured' option, manual SNR formulas) produce subtly incorrect results. This skill specifies the correct calling conventions, required function usage, and critical anti-patterns that must be avoided.
Trade swing setups in the style of Mark Minervini, 3x US Investing Champion with 220%+ annual returns. Emphasizes SEPA methodology, trend templates, volatility contraction patterns (VCP), and strict risk management. Use when swing trading momentum stocks, identifying breakout setups, or building systematic trend-following strategies.
PokéAPI as a fully offline Pokédex with SQL, full-text search, type math, and a damage calculator no other Pokémon tool ships as a CLI. Trigger phrases: `look up a pokemon`, `what beats charizard`, `build a pokemon team`, `type matchup`, `evolution chain`, `use pokeapi`, `run pokeapi-pp-cli`.
Use to verify or create a Queue on a Salesforce org for a routable sObject (Case | Incident | MessagingSession | VoiceCall), discovered via its QueueSobject binding rather than by hardcoded name. Reuses whatever queue already routes the target sObject; with --create-if-missing it creates a Queue via the Metadata API (Group + QueueSobject) when none is bound and aligns its QueueRoutingConfigId to a caller-specified QRC. Returns created, reused, updated, or blocked. Triggers: verify or create a queue for Case/Incident/Messaging/Voice routing, align queue routing config, set up an Omni voice queue. Do not use to add users to the queue (service-omni-queue-members-assign) or for sObjects outside Case/Incident/MessagingSession/VoiceCall.
Specialised skill for querying 12306 train ticket schedules, supporting accurate station selection, date specification and train information retrieval. Uses a validated browser-operation SOP and a direct-query strategy with URL parameters to ensure accurate results. Suited to 12306-related queries such as train schedules, remaining ticket availability and train times.
Preview, submit, inspect, and manage Alpaca paper-trading orders using the Alpaca CLI. Supports US equities, options, and crypto. Use this skill when you want your AI agent to take a strategy signal and execute it as a paper trade through the Alpaca command-line interface.
Apply consulting methodologies from McKinsey, BCG, Bain, and Accenture for structured problem-solving and strategic analysis. Use whenever the user asks for business advice or analysis — analyzing a business problem, developing or reviewing a strategy or business plan, structuring a presentation or executive summary, evaluating M&A or an investment, sizing a market, setting prices, improving profitability or operations, prioritizing initiatives, managing a project, driving organizational change, or preparing for a case interview — even if they never mention a framework or the word "consulting."
This skill is triggered when multiple pieces of evidence in a case need to be systematically mapped to legal argument claims. Typical trigger scenarios include: preparing litigation documents (complaint, statement of defense, attorney's argument) and needing to build a complete evidence-to-claim mapping; organizing the evidence list before a hearing and clarifying the purpose of proof of each piece of evidence; reorganizing the chain of evidence to respond after the opposing party raises a rebuttal; a case involving multiple points of dispute, requiring evidence to be grouped and categorized under different argument claims; and assessing whether the existing evidence is sufficient to support all claims and identifying weak links and gaps in the chain of evidence. The core of this skill is establishing a complete mapping of "claim → element → evidence → probative value assessment", ensuring that every legal claim is fully supported by evidence, every piece of evidence has a clear purpose of proof, and the overall chain of argument is logically rigorous and clearly structured.
Draft, analyse, score, and improve IELTS Academic Writing Task 1 responses (150-word minimum reports on graphs, charts, tables, diagrams, maps, or processes). Use this skill when the user shares a Task 1 prompt, wants a model answer, needs band-score feedback on their own response, or asks how to describe trends, compare data, or structure an overview. Also use when the user asks about Task 1 vocabulary, grammar for describing data, or common Task 1 mistakes. Covers all visual types: line graph, bar chart, pie chart, table, map, process diagram, multiple charts.
Amazon External Fulfillment external fulfillment management. Use for per-location inventory queries or updates, fulfillment shipment processing, package and status updates, shipping options, labels, invoices and return queries across programs such as Seller Flex, FBA Onsite, Easy Ship, Self Ship and MFN Self Delivery. Triggered when the user mentions External Fulfillment, SmartConnect, Seller Flex, FBA Onsite, Easy Ship, Self Ship, batchInventory, location inventory, external fulfillment shipments, EF labels, EF invoices or EF returns. Even without explicitly saying "External Fulfillment API", trigger this skill whenever the need concerns inventory, shipments, packages or returns for these external fulfillment programs; use linkfox-amazon-store-orders for regular seller orders and the corresponding fulfillment skill for FBA/MCF.
Comprehensive Amazon FBA management skill. Use to query item inbound eligibility and FBA inventory, adjust inventory, and handle cross-domain processes such as FBA inbound plans, boxing, placement, transportation, shipments, labels, bills of lading, and legacy MCF multi-channel fulfillment orders, returns and tracking. Triggered when the user mentions Amazon FBA, inbound eligibility, Inbound Eligibility, FBA inventory summaries, Send to Amazon, Inbound Plan, FBA shipments, legacy MCF, getItemEligibilityPreview, getInventorySummaries, createInboundPlan, createFulfillmentOrder. If the need specifically concerns the Fulfillment Inbound v2024-03-20 inbound flow, prefer linkfox-amazon-store-fulfillment-inbound; for Fulfillment Outbound v2026-07-04 new MCF, use linkfox-amazon-store-fulfillment-outbound; External Fulfillment and regular seller orders are not covered by this skill.
UK, US, and Canadian shipping, logistics, customs, duties, and tariff expert with automotive commodity code expertise. Covers import/export documentation, HS/HTS codes, rules of origin, FTAs, and landed cost calculations. USE WHEN user says 'shipping', 'customs', 'tariff', 'duty', 'import', 'export', 'HS code', 'HTS code', 'commodity code', 'landed cost', 'incoterms', 'customs broker', 'freight', 'logistics', 'rules of origin', 'CUSMA', 'USMCA', 'TCA', or needs help with international trade compliance.
Sends RCS (Rich Communication Services) messages via the RCS channel of the Sinch Conversation API — rich cards, carousels, suggested replies and actions, media, location, and calendar actions, with automatic SMS fallback. Use when sending an RCS message, rich card, carousel, or suggested-action message; checking device RCS capability; configuring RCS-to-SMS fallback; provisioning an RCS agent; or sending typing indicators.
Sends and receives SMS text messages via the SMS channel of the Sinch Conversation API. Covers sender ID types (long code, short code, alphanumeric, toll-free, 10DLC), GSM 7-bit vs UCS-2 character encoding, concatenated multi-part messages, opt-out (STOP) handling, and SMS channel properties. Use when sending an SMS or text message, handling inbound SMS or STOP keywords, choosing or configuring an SMS sender ID, or debugging encoding and message-part issues.
Analyze career direction, strengths, role fit, work patterns, and Dasha timing from a verified Vedic/Jyotish chart. Use for 'Vedic career reading', 'career direction from my chart', 'what work suits me', 'career timing', D9/D10 or 10th-house career questions; Chinese requests such as '职业分析', '事业方向', or '星盘职业分析'; and Japanese requests such as '適職を知りたい', '仕事運を見て', or 'キャリアを分析して'. / 吠陀占星职业分析引擎。
When the user wants to optimize food and beverage supply chains, manage perishability, ensure food safety, or handle retail distribution. Also use when the user mentions "food supply chain," "beverage distribution," "HACCP," "food safety," "perishable logistics," "shelf life management," "FEFO," "farm to fork," "CPG distribution," "grocery supply chain," or "fresh produce logistics." For retail allocation, see retail-allocation. For promotional planning, see promotional-planning.
Information lookup and online queue-number booking for Jinguyuan Dumpling Restaurant. Query store, queue, and menu information via the official Jinguyuan API; built-in real queue actions are used only for online number booking, checking your own queue progress, and canceling a queue spot.
Use when the user needs to analyze stocks, obtain trading signals, or make quantitative investment decisions with a multi-agent trading framework. Based on the TradingAgents project, it provides professional fundamental analysis, sentiment analysis, technical analysis, and risk management.
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
Calculate a complete Vedic/Jyotish natal chart directly from birth date, exact time, and place, producing the canonical structured_data.md for downstream analysis. Use for requests such as 'calculate my Vedic chart', 'cast my birth chart', 'generate a chart from my birth details'; Chinese triggers including '直接排盘', '计算星盘', '快速排盘', and '算一下'; or Japanese triggers including '出生図を作って', 'ホロスコープを計算して', and 'ヴェーダ占星術で出生図を出して'. Also use when vedic-reader has birth details but no chart file. / 吠陀占星排盘计算引擎。
Use akshare to retrieve real-time and historical data for Chinese financial markets. Use this skill to look up real-time quotes, historical data, and financial statements for financial products such as A-shares, Hong Kong stocks, U.S. stocks, indices, funds, and futures.
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Personalized Binance.US market, portfolio, and watchlist briefings using account balances, recent trading history, watchlists, market data, recent news headlines, market context, and catalyst watch tied to the user's relevant assets. Use when the user asks for a market summary, personalized crypto brief, portfolio update, capital readiness check, watchlist recap, opportunity alert, or weekly reset for Binance.US.
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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.