Total 53,839 skills, Data Processing has 2767 skills
Showing 12 of 2767 skills
Get recent news and sentiment for a stock. Use when user asks about news, headlines, sentiment, what's happening with a stock, or recent developments.
Scraper de Finviz: datos fundamentales, técnicos, insider trading, news y screener para acciones US. Sin API oficial.
Screens and selects stocks based on customizable quantitative criteria including value, growth, quality, and momentum factors
Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context. Use when researching stocks, comparing estimates to actuals, analyzing company financials, assessing equity valuations, or building investment cases.
PostGIS-focused SQL tips, tricks and gotchas. Use when in need of dealing with geospatial data in Postgres.
Assist Claude in running PyWGCNA through omicverse—preprocessing expression matrices, constructing co-expression modules, visualising eigengenes, and extracting hub genes.
Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers. Extract, normalize, and standardize financial data into investment committee-ready Excel workbooks with consistent structure, proper formatting, and documented assumptions. Use for M&A due diligence, private equity analysis, investment committee materials, and standardizing financial reporting across portfolio companies. Do not use for simple financial calculations or working with already-completed data packs.
Best practices for developing advanced, interactive, and publication-quality data visualizations using HoloViz HoloViews
Codified expertise for demand forecasting, safety stock optimisation, replenishment planning, and promotional lift estimation at multi-location retailers.
Portfolio risk analysis including Value at Risk (parametric, historical, Monte Carlo), Conditional VaR, stress testing, drawdown analysis, and factor exposure assessment.
Python data analysis with pandas, numpy, and analytics libraries
Parse and explain HL7 v2.5 IHE PAM (Patient Administration Management) messages. Identifies message type, extracts segments (MSH, EVN, PID, PV1, PV2), validates structure, and provides detailed explanations of ADT messages for patient administration workflows.