Total 54,043 skills, Data Processing has 2767 skills
Showing 12 of 2767 skills
Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures. Masters SQL/NoSQL/TimeSeries database selection, normalization strategies, migration planning, and performance-first design. Handles both greenfield architectures and re-architecture of existing systems. Use PROACTIVELY for database architecture, technology selection, or data modeling decisions.
Identifies Oracle-to-PostgreSQL migration risks by cross-referencing code against known behavioral differences (empty strings, refcursors, type coercion, sorting, timestamps, concurrent transactions, etc.). Use when planning a database migration, reviewing migration artifacts, or validating that integration tests cover Oracle/PostgreSQL differences.
Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.
Apply statistical methods to financial data including descriptive statistics, covariance estimation, regression, hypothesis testing, and resampling. Use when the user asks about return distributions, correlation between assets, building a covariance matrix, running a CAPM regression, testing whether alpha is significant, checking if returns are normal, or estimating confidence intervals. Also trigger when users mention 'volatility', 'how correlated are these', 'fat tails', 'skewness', 'R-squared', 'beta of a fund', 'bootstrap a Sharpe ratio', 'shrinkage estimator', 'Ledoit-Wolf', or ask why their optimizer produces unstable weights.
Find or generate a Nimble agent for a task, then run it. Use when the user needs structured web data extraction via Nimble agents/templates.
Apply panel data analysis with fixed effects, random effects, and dynamic GMM to exploit longitudinal variation and control for unobserved heterogeneity. Use this skill when the user has repeated observations over time for multiple entities, needs to choose between FE and RE via Hausman test, or when they ask 'how do I control for firm-specific effects', 'fixed or random effects', or 'how to handle endogeneity in panels'.
Calculate Value at Risk to estimate maximum portfolio loss at a given confidence level. Use this skill when the user needs to quantify downside risk, set risk limits, or report regulatory risk measures — even if they say 'worst case loss', 'portfolio risk', or 'how much could we lose'.
Find papers that cite a given Google Scholar paper. Tracks citation chains using data-cid (cluster ID). Use when user wants to see who cited a specific paper.
通过专利ID或公开号从智慧芽专利数据库获取专利说明书（描述）数据。当用户提到专利说明书、专利全文、专利技术描述、专利实施方式详情、智慧芽说明书数据、patent specification, patent full text, technical description, embodiment details, PatSnap, patent detailed description时触发此技能。即使用户未明确说"智慧芽"，只要其需要查看一项或多项专利的完整说明书/描述内容，也应触发此技能。
从智慧芽（PatSnap）查询专利被引用数据，包括被引用次数和引用专利详情。当用户提到专利被引用、被引分析、专利影响力、引用频次、专利家族被引、前向引用、想了解哪些专利引用了某一专利、patent citations, citation count, patent influence, citation analysis, PatSnap时触发此技能。即使用户未明确提及"智慧芽"或"PatSnap"，只要其需求涉及查询某专利被引用次数或被哪些专利引用，也应触发此技能。
Conduct compensation benchmarking analysis to position salaries against market data. Use this skill when the user needs to assess pay competitiveness, build salary bands, or analyze pay equity — even if they say 'are we paying market rate', 'salary benchmarking', or 'compensation analysis'.
Define reusable Airflow task group templates with Pydantic validation and compose DAGs from YAML. Use when creating blueprint templates, composing DAGs from YAML, validating configurations, or enabling no-code DAG authoring for non-engineers.