Total 50,523 skills, Data Processing has 2561 skills
Showing 12 of 2561 skills
When the user wants to optimize markdown strategy, price optimization for clearance, or minimize inventory markdowns. Also use when the user mentions "markdown," "clearance pricing," "price elasticity," "promotional pricing," "discount optimization," "sell-through," "inventory liquidation," or "dynamic pricing." For initial allocation, see retail-allocation. For promotional planning, see promotional-planning.
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.
Run KQL queries against Fabric Eventhouse for real-time intelligence and time-series analytics using `az rest` against the Kusto REST API. Covers KQL operators (where, summarize, join, render), Eventhouse schema discovery (.show tables), time-series patterns with bin(), and ingestion monitoring. Use when the user wants to: 1. Run read-only KQL queries against an Eventhouse or KQL Database 2. Discover Eventhouse table schema and metadata 3. Analyse real-time or time-series data with KQL operators 4. Monitor ingestion health and active KQL queries 5. Export KQL results to JSON Triggers: "kql query", "kusto query", "eventhouse query", "kql database", "real-time intelligence", "time-series kql", "query eventhouse", "explore eventhouse", "show tables kql"
Scrapin.io integration. Manage data, records, and automate workflows. Use when the user wants to interact with Scrapin.io data.
Xata integration. Manage data, records, and automate workflows. Use when the user wants to interact with Xata data.
Create, manage, and deploy Power BI semantic models inside Microsoft Fabric workspaces via `az rest` CLI against Fabric and Power BI REST APIs. Use when the user wants to: (1) create a semantic model from TMDL definition files, (2) retrieve or download semantic model definitions, (3) update a semantic model definition with modified TMDL, (4) trigger or manage dataset refresh operations, (5) configure data sources, parameters, or permissions, (6) deploy semantic models between pipeline stages. Covers Fabric Items API (CRUD) and Power BI Datasets API (refresh, data sources, permissions). For read-only DAX queries, use `powerbi-consumption-cli`. For fine-grained modeling changes, route to `powerbi-modeling-mcp`. Triggers: "create semantic model", "upload TMDL", "download semantic model TMDL", "refresh dataset", "semantic model deployment pipeline", "dataset permissions", "list dataset users", "semantic model authoring".
Calculate ETF premium or discount relative to Net Asset Value (NAV) using Yahoo Finance data. Use this skill whenever the user asks about an ETF's premium or discount, NAV comparison, whether an ETF is trading above or below its fair value, or wants to compare market price vs NAV. Triggers: "ETF premium", "ETF discount", "NAV premium", "is SPY trading at a premium", "AGG premium to NAV", "market price vs NAV", "ETF mispricing", "BITO premium", "IBIT premium", "bond ETF discount", "trading above/below NAV", "ETF premium screener", "which ETFs have biggest discount", "compare ETF NAV", "ETF arbitrage", or any request involving the gap between an ETF's market price and its underlying value. Also triggers when analyzing leveraged, inverse, international, bond, commodity, or crypto ETFs where premium/discount is a known concern.
跨市场股票技术指标服务。支持 A股/港股/美股 27种技术指标，包括 MA/EMA/RSI/MACD/KDJ/布林带/ADX/ATR/CCI/VWAP等。 当用户询问"RSI""MACD""布林带""技术指标""KDJ""OBV"等时触发。 ⚠️ 加密货币技术指标请使用 crypto-indicators skill。
美股实时行情查询。批量获取美股证券实时报价。 当用户询问"苹果实时价格""美股实时行情""AAPL报价""美股现价"时触发。
A股K线数据查询。获取日线、周线、月线行情。 当用户询问"茅台日K""万科周线""A股月线""K线走势"时触发。
港股市场全量数据服务。编排港股所有细粒度 skill：实时行情、K线、基础数据、港股通、技术指标。 当用户提及"港股""HKEX""恒生""腾讯"且未明确指定数据维度时触发。
Captain Data integration. Manage data, records, and automate workflows. Use when the user wants to interact with Captain Data data.