Total 53,843 skills, Data Processing has 2767 skills
Showing 12 of 2767 skills
Comprehensive Power BI data model design review prompt for evaluating model architecture, relationships, and optimization opportunities.
Automated data quality and transformation capabilities for Dataform/dbt/BigQuery pipelines. Processes data sourced from BigQuery or Cloud Storage (GCS), applying best practices for data ingestion, movement, schema mapping, and comprehensive data cleaning.
从Eureka专利数据库查询专利著录项目（Bibliography）信息，包括标题、摘要、申请人、发明人、分类号、优先权、引用文献等。当用户提到专利著录项目、专利基本信息、专利标题摘要、专利申请人发明人、专利分类号、IPC分类、CPC分类、专利代理、审查员、优先权、引用文献、关联文件、预估到期日、patent bibliography, patent basic info, patent title and abstract, patent applicant/inventor, patent classification, IPC/CPC, patent agent, patent examiner, priority claims, cited references, related documents, estimated expiry, Eureka patent data时触发此技能。即使用户未明确提及"Eureka"或"著录项目"，只要其需求涉及查询专利的基础著录信息（标题、摘要、申请人、分类号等），也应触发此技能。
Generate a Wren MDL project by exploring a database with available tools (SQLAlchemy, database drivers, MCP connectors, or raw SQL). Guides agents through schema discovery, type normalization, and MDL YAML generation using the wren CLI. Use when: user wants to create or set up a new MDL, onboard a new data source, or scaffold a project from an existing database.
Analyze stocks, ETFs, and crypto using Yahoo Finance and Alpha Vantage. Get real-time quotes, fundamentals (P/E, EPS, margins, balance sheet), technical indicators (RSI, MACD, Bollinger), dividends, earnings, options chains, analyst ratings, institutional holders, sector comparisons, and screening. Use when the user asks about stock prices, company financials, market trends, portfolio analysis, or any investment research.
End-to-end retail ETL pipeline using PySpark, SQL Server, and Medallion Architecture (Bronze/Silver/Gold layers) for data warehousing
Free 9-week data engineering course covering Docker, Terraform, Kestra, BigQuery, dbt, Spark, and Kafka with hands-on projects
Synthesizes themes from PayPal disputes, HubSpot tickets, and review exports into a top-3 fixable issues list with drafted response templates. Accepts optional since-date argument.
Analyze government bonds including US Treasuries, yield curves, duration, convexity, and TIPS. Use when the user asks about Treasury bonds, sovereign debt, yield curve construction, interest rate risk, duration, convexity, TIPS, or breakeven inflation rates. Also trigger when users mention 'T-bills', 'T-notes', 'bond pricing', 'yield to maturity', 'inverted yield curve', 'forward rates', 'spot rates', 'DV01', 'real yields', or ask how bonds react to interest rate changes.
Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing ADF pipelines, mapping data flows, SHIR/SSIS IR, SAP CDC, or CI/CD with ARM/DevOps, and other Azure Data Factory related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics), Azure Data Explorer (use azure-data-explorer).
Has SM been in this token for weeks, or did they just enter? Are they still buying?
基于FastMoss数据搜索和筛选TikTok全球电商商品，支持关键词搜索、多维度筛选（类目、店铺类型、佣金率、销量、达人数等）和排序。当用户提到TikTok选品、TikTok商品搜索、TikTok产品数据、TikTok达人带货、TikTok佣金率、TikTok爆款追踪、TikTok GMV分析、TikTok product search, TikTok product research, TikTok creator sales, TikTok commission rate, TikTok GMV analysis, FastMoss时触发此技能。即使用户未明确提及"FastMoss"，只要其需求涉及在TikTok平台搜索商品数据或分析商品表现，也应触发此技能。