Total 53,839 skills, Data Processing has 2767 skills
Showing 12 of 2767 skills
Analyze Walmart sales data to explore trends between store sales and unemployment rates. Generate insightful visualizations and a beautiful HTML report with deep analysis. Suitable for quick insights into the relationship between sales data and macroeconomic factors.
Search and scrape public web content with headless Chrome and DuckDuckGo using safe practices.
Create multi-criteria comparison charts using traffic lights or Harvey balls. Use for option evaluation, competitive comparison, and executive dashboards.
Historical-volatility (HV) regime strategy via Longbridge Securities — computes 20-day and 60-day HV, ranks the current level as a percentile over the past year, and recommends a vol regime trade: long volatility (buy straddle) when HV percentile < 25%; short volatility (sell straddle / iron condor) when HV percentile > 75%; neutral otherwise. Triggers: "波动率策略", "历史波动率", "低波动率", "高波动率", "波动率分位", "做多波动率", "做空波动率", "波動率策略", "歷史波動率", "低波動率", "高波動率", "波動率分位", "做多波動率", "做空波動率", "volatility strategy", "historical volatility", "low volatility", "high volatility", "volatility percentile", "long volatility", "short volatility", "vol regime", "HV20", "HV60", "buy straddle", "sell straddle", "iron condor".
/cs:cdo-review <plan> — Decision-driven Chief Data Officer interrogation of any plan that touches training data, data architecture, data productization, or data team hiring.
Extract text from images using Tesseract OCR
Handle spreadsheet operations (Excel/CSV) with high-fidelity modeling, financial analysis, and visual verification. Use for budget models, data dashboards, and complex formula-heavy sheets. Use proactively when zero formula errors and professional standards are required. Examples: - user: "Build an LBO model" -> create Excel with banking-standard formatting - user: "Analyze this data and create a dashboard" -> use openpyxl + artifact_tool - user: "Verify formulas in this spreadsheet" -> run recalc.py to check for errors
Compare GWAS studies, perform meta-analyses, and assess replication across cohorts. Integrates NHGRI-EBI GWAS Catalog and Open Targets Genetics to compare study designs, effect sizes, ancestry diversity, and heterogeneity statistics. Use when comparing GWAS studies for a trait, performing meta-analysis of genetic loci, assessing replication across cohorts, or exploring the genetic architecture of complex diseases.
Generate headcount, attrition, diversity, or org health reports. Use when pulling a headcount snapshot for leadership, analyzing turnover trends by team, preparing diversity representation metrics, or assessing span of control and flight risk across the org.
Is SM buying this token on one chain but selling on another? Detect capital rotation.
Analyze family medical history, assess genetic risks, identify family health patterns, and provide personalized prevention recommendations
Quick data freshness check. Use when the user asks if data is up to date, when a table was last updated, if data is stale, or needs to verify data currency before using it.