Total 53,790 skills, Data Processing has 2767 skills
Showing 12 of 2767 skills
Design and analyze factorial experiments to identify significant process factors and optimize settings. Use this skill when the user needs to systematically test factor effects, optimize a manufacturing process, or determine which variables matter most — even if they say 'which factors affect quality', 'optimize process settings', or 'design an experiment'.
Apply Hierarchical Linear Modeling (HLM) to analyze nested data structures with random intercepts and slopes, accounting for intra-class correlation and cross-level interactions. Use this skill when the user has students nested in schools, employees in firms, or repeated measures in individuals, needs to partition variance across levels, or when they ask 'how do I handle nested data', 'what is ICC', or 'do group-level factors moderate individual-level relationships'.
Apply the Fama-French three-factor model to decompose asset returns into market, size, and value factors. Use this skill when the user needs to explain cross-sectional return differences, evaluate fund performance beyond CAPM alpha, assess small-cap or value tilts in a portfolio, or when they ask 'why do small caps earn more', 'is value premium real', or 'what factors drive returns'.
Combine multiple forecasting models into ensemble predictions for improved accuracy. Use this skill when the user needs to improve forecast reliability, combine ARIMA/Prophet/ETS outputs, or build a robust forecasting pipeline — even if they say 'combine forecasts', 'model averaging', or 'which forecast should I trust'.
Thena integration. Manage data, records, and automate workflows. Use when the user wants to interact with Thena data.
Scrape e-commerce data for pricing, reviews, bestsellers, and seller discovery across 30+ platforms including Amazon, Walmart, eBay, Shopify, WooCommerce, and more. Use when user asks about product prices, competitor analysis, store scraping, tech stack detection, food delivery, real estate, or marketplace intelligence.
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.
When the user wants to implement shipment tracking, product traceability, or supply chain visibility. Also use when the user mentions "tracking," "traceability," "visibility," "serialization," "lot tracking," "batch tracking," "chain of custody," "provenance," "track and trace," or "shipment monitoring." For control towers, see control-tower-design. For compliance, see compliance-management.
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.
Free, no-auth multi-chain DEX pair data — prices, volume, liquidity, transactions, and token profiles
Scrapin.io integration. Manage data, records, and automate workflows. Use when the user wants to interact with Scrapin.io data.
加密货币市场全量数据服务。覆盖 K线、持仓、爆仓、资金费率、多空比、CVD/买卖、ETF、 市场指标（恐惧贪婪/AHR999等）、新闻、巨鲸追踪、大额订单、排行榜、订单簿、资金流等。 当用户提及"BTC""比特币""以太坊""加密货币""合约""资金费率""爆仓""持仓量""恐惧贪婪指数"时触发。