Total 54,288 skills, Data Processing has 2781 skills
Showing 12 of 2781 skills
Apache Superset integration. Manage data, records, and automate workflows. Use when the user wants to interact with Apache Superset data.
Evaluate investment performance on a risk-adjusted basis using industry-standard ratios and capture analysis. Use when the user asks about Sharpe ratio, Sortino ratio, Information Ratio, Treynor ratio, Calmar ratio, Omega ratio, or upside/downside capture. Also trigger when users mention 'risk-adjusted returns', 'return per unit of risk', 'M-squared', 'is this fund worth the volatility', 'how to compare two managers', 'capture ratio', or ask which investment performed better after accounting for risk.
Build Discounted Cash Flow (DCF) valuation models to estimate intrinsic value. Use this skill when the user needs to value a company, evaluate an investment, estimate fair share price, or build financial projections — even if they say 'what is this company worth', 'should we acquire them', or 'build me a valuation model'.
Implement Elo rating system to rank items or players from pairwise comparison outcomes. Use this skill when the user needs to rank items from head-to-head matchups, build a competitive rating system, or evaluate relative quality from comparison data — even if they say 'player rating', 'ranking from comparisons', or 'competitive scoring system'.
Design and analyze A/B tests with proper statistical methodology including sample size calculation, randomization, frequentist and Bayesian approaches, and sequential testing. Use this skill when the user needs to set up an experiment, calculate required sample size, interpret test results, or decide between testing methodologies — even if they say 'should we A/B test this', 'how many users do we need', 'is the test result conclusive', or 'can we stop the test early'.
Implement BM25 ranking function for e-commerce product search relevance scoring. Use this skill when the user needs to build a text-based product search engine, improve search result relevance, or replace basic TF-IDF with a more robust ranking function — even if they say 'product search ranking', 'search relevance', or 'BM25 implementation'.
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 Bayesian averaging to rank items by combining observed ratings with prior expectations. Use this skill when the user needs to rank items with varying review counts, build a 'top rated' list that handles low-sample items fairly, or implement IMDB-style weighted rating — even if they say 'weighted average rating', 'IMDB formula', or 'ranking with prior'.
Analyze Taiwan-listed stocks using fundamental analysis including EPS, P/E ratio, dividend yield, and financial statement review. Use this skill when the user needs to evaluate a Taiwan stock, compare TWSE/TPEx-listed companies, assess valuation, or review earnings — even if they say 'should I buy this stock', 'analyze 台積電', 'is this stock overvalued', or 'compare these two Taiwan companies'.
ASIN Data API integration. Manage data, records, and automate workflows. Use when the user wants to interact with ASIN Data API data.
When the user wants to solve the Vehicle Routing Problem (VRP), optimize multi-vehicle routes, or plan fleet delivery routes. Also use when the user mentions "VRP," "fleet routing," "multi-vehicle routing," "delivery route planning," "vehicle dispatch," "fleet optimization," or "route assignment." For single vehicle, see traveling-salesman-problem. For time windows, see vrp-time-windows.
When the user wants to design or optimize replenishment strategies, determine replenishment policies, or improve inventory flow between locations. Also use when the user mentions "inventory replenishment," "stock replenishment," "min-max inventory," "DRP," "auto-replenishment," "vendor-managed inventory," "forward pick replenishment," or "retail store replenishment." For safety stock calculations, see inventory-optimization. For multi-echelon networks, see multi-echelon-inventory.