Total 53,999 skills, Data Processing has 2767 skills
Showing 12 of 2767 skills
Connect to a hospital's FHIR R4 server (Epic, Oracle Health/Cerner, MEDITECH, athenahealth, or any SMART-on-FHIR endpoint), pull a patient's clinical data and notes, and extract structured findings. Use when users say "connect to the EHR", "connect to Epic/Cerner", "pull notes for patient X", "what do the last 6 months of notes say about Y", or any task that starts from a live EHR rather than pasted text.
Asset allocation and portfolio optimisation via Longbridge — efficient frontier (MPT), Black-Litterman model overview, risk parity / risk budgeting, all-weather strategy, and practical allocation recommendations based on the user's Longbridge account data. Triggers: "资产配置", "组合优化", "有效前沿", "Black-Litterman", "风险预算", "风险平价", "全天候策略", "大类资产", "資產配置", "組合優化", "有效前沿", "風險預算", "風險平價", "全天候策略", "大類資產", "asset allocation", "portfolio optimization", "efficient frontier", "Black-Litterman", "risk parity", "all-weather strategy", "mean-variance optimization", "strategic allocation".
Portfolio performance attribution via Longbridge Securities — Brinson industry attribution (allocation / selection / interaction effects), factor alpha/beta decomposition (market β, value, momentum, size), and timing ability (Treynor-Mazuy model). For portfolio review and fund analysis. Requires login with Trade scope. Triggers: "业绩归因", "归因分析", "Brinson归因", "配置效应", "选股效应", "因子归因", "alpha来源", "择时效应", "業績歸因", "歸因分析", "Brinson歸因", "配置效應", "選股效應", "因子歸因", "performance attribution", "Brinson attribution", "allocation effect", "selection effect", "factor attribution", "alpha decomposition", "timing ability", "portfolio attribution", "T-M model", "Jensen alpha".
Pairs trading / statistical-arbitrage strategy via Longbridge Securities — tests cointegration between two correlated assets using the Engle-Granger (ADF) method, computes the optimal hedge ratio via OLS, calculates spread Z-score, half-life of mean reversion, and generates entry/exit signals (long spread when Z > 2, short spread when Z < -2, exit when |Z| < 0.5). Triggers: "配对交易", "统计套利", "协整", "价差交易", "对价交易", "双股套利", "配對交易", "統計套利", "協整", "價差交易", "pairs trading", "statistical arbitrage", "cointegration", "spread trading", "mean reversion pairs", "hedge ratio", "half-life", "ADF test", "Kalman filter", "Z-score spread", "spread mean reversion".
Comprehensive equity research snapshot — integrates analyst consensus estimates, company fundamentals (revenue / profit / valuation), 60-day price history, and recent major news to produce an investment research snapshot similar to a sell-side equity research brief. Triggers: "股票研究", "个股分析", "研究报告", "个股快照", "综合分析", "股票调研", "股票深度", "個股分析", "研究報告", "個股快照", "綜合分析", "股票研究", "stock research", "equity research", "stock analysis", "research snapshot", "investment brief", "stock deep dive", "comprehensive analysis", "NVDA research", "700.HK analysis".
Salesforce Data Cloud Prepare phase. Use this skill when the user creates or manages Data Cloud data streams, DLOs, transforms, or Document AI configurations. TRIGGER when: user creates or manages Data Cloud data streams, DLOs, transforms, or Document AI configurations, or asks about ingestion into Data Cloud. DO NOT TRIGGER when: the task is connection setup only (use connecting-datacloud), DMOs and identity resolution (use harmonizing-datacloud), or query/search work (use retrieving-datacloud).
Best practices for handling Evernote data. Use when implementing data storage, processing notes, handling attachments, or ensuring data integrity. Trigger with phrases like "evernote data", "handle evernote notes", "evernote storage", "process evernote content".
Access atmospheric properties and aerospace fluid data from NASA Earthdata
Subsurface well data analysis toolkit for loading, processing, and analyzing well logs, projects, and formation tops. Built on lasio with enhanced curve processing. Use when Claude needs to: (1) Load wells from LAS files with metadata, (2) Work with multi-well Projects, (3) Process curves (despike, smooth, resample, normalize), (4) Manage formation tops, (5) Export well data to DataFrame/LAS/CSV, (6) Perform cross-well analysis and QC.
Execute DuckDB SQL queries against MotherDuck databases. Use when running analytics, aggregations, transformations, or any SQL operation. Covers query best practices, CTEs, window functions, QUALIFY, and performance optimization.
Produces a margin-by-product table and three pricing-scenario data views so the owner can see the full financial picture before making a pricing decision. Accepts optional product name argument.
Delivers the Friday end-of-week pulse — revenue vs prior week, top sellers, wins and watches. Accepts optional lookback window of 7 or 14 days.