Total 53,735 skills, Data Processing has 2765 skills
Showing 12 of 2765 skills
Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.
Export a Google Sheets spreadsheet as a CSV file for local backup or processing.
Conduct Pareto Analysis (80/20 Rule) to identify the vital few causes driving the majority of problems. Guides data collection, category definition, chart creation, cumulative percentage calculation, and prioritization. Generates professional Pareto charts (SVG) and HTML reports with quality scoring. Use when prioritizing defects, complaints, failures, or improvement opportunities; when user mentions "Pareto", "80/20 rule", "vital few", "trivial many", "prioritization", or needs to identify which factors contribute most to a problem.
When the user wants to solve strip packing problems, pack items into fixed-width strips, or minimize packing height. Also use when the user mentions "strip packing," "cutting stock with fixed width," "ribbon packing," "shelf packing," "minimize height packing," or "2D strip packing problem." For general 2D packing, see 2d-bin-packing. For 3D packing, see 3d-bin-packing.
Implied volatility analysis for options via Longbridge — IV vs HV comparison, IV percentile rank, volatility smile and skew, options pricing assessment, strategy selection guidance. Triggers: "隐含波动率", "IV", "期权波动率", "波动率偏斜", "波动率微笑", "HV", "历史波动率", "IV百分位", "期权定价", "隱含波動率", "期權波動率", "波動率偏斜", "波動率微笑", "歷史波動率", "IV百分位", "期權定價", "implied volatility", "IV percentile", "volatility smile", "volatility skew", "HV vs IV", "options pricing", "vol surface", "TSLA.US implied vol".
Vendor-neutral skill to check a KPI dictionary for conflicting definitions, grain mismatches, and missing ownership.
Geokeo integration. Manage data, records, and automate workflows. Use when the user wants to interact with Geokeo data.
Analyze non-coding RNAs (miRNAs, lncRNAs, circRNAs) using miRBase, LNCipedia, RNAcentral, Rfam, and target prediction databases. Covers ncRNA identification, target prediction, disease associations, expression profiling, and functional annotation. Use when asked about microRNAs, long non-coding RNAs, RNA interference, miRNA targets, lncRNA function, or ncRNA-disease associations.
Use when asked to parse, normalize, standardize, or convert dates from various formats to consistent ISO 8601 or custom formats.
Manage data programs, governance operations, and data reliability. Cover data roadmaps, stakeholder coordination, metadata stewardship, lifecycle management, monitoring, incident response, capacity planning, and SLA frameworks. Triggers on "manage data team", "data roadmap", "governance review", "data incident", "SLA framework", "data ops", "stewardship", "data product delivery", or "data KPIs". Human annotation/labeling platform PM: product-management-human-data-platform.
End-to-end data engineering pipeline for Harvard Art Museums API with ETL, SQL analytics, and Streamlit visualization
Compare the differences in business quality, growth, profitability, valuation and catalysts of peer candidate companies horizontally, and provide conclusions on relative strengths and weaknesses. It is applicable to scenarios such as choosing between two candidate stocks, selecting the best among peers in an industry, and establishing a priority tracking order.