Total 54,631 skills, Data Processing has 2789 skills
Showing 12 of 2789 skills
Guide for querying DeFi yield and APY data using get_yield_pools. Covers pool filtering by token, chain, protocol, category, stablecoin-only mode, and capacity assessment. Explains APY conventions, lending vs borrowing rates, and sort options. Use when users ask about yields, APY, lending rates, borrowing costs, best pools, or DeFi yield strategies.
ClickHouse cluster migration planner. Use when planning data migration between ClickHouse clusters, including cross-cluster migrations, horizontal scaling, disk downgrade, availability zone changes, or migrating from self-built/non-Alibaba Cloud ClickHouse to Alibaba Cloud ClickHouse (Community or Enterprise Edition). Helps analyze migration conditions, select appropriate migration methods, and generate detailed migration plans.
Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.
SQL query patterns, schema design, and optimization. Joins, CTEs, window functions, indexing, and anti-patterns. Use when writing SQL queries, designing schemas, optimizing database performance, or reviewing database code.
Exécute des requêtes SQL en lecture seule sur plusieurs bases de données PostgreSQL. À utiliser pour : (1) interroger des bases PostgreSQL, (2) explorer les schémas/tables, (3) exécuter des requêtes SELECT pour l'analyse de données, (4) vérifier le contenu des bases. Supporte plusieurs connexions avec descriptions pour une sélection automatique intelligente. Bloque toutes les opérations d'écriture (INSERT, UPDATE, DELETE, DROP, etc.) par sécurité.
Implement Syncfusion Windows Forms Pivot Chart control for visualizing multidimensional data with interactive drill-down capabilities. Use this when working with pivot charts, pivot data visualization, drill-down charts, hierarchical chart data, or business intelligence visualizations. Supports 11+ chart types (Line, Spline, Column, Area, Stacking), data binding with IEnumerable/DataTable, drill up/down operations, pivot table field list, grouping bar, legend customization, Excel export, zooming, scrolling, and touch support.
DoltHub integration. Manage data, records, and automate workflows. Use when the user wants to interact with DoltHub data.
OpenWeb Ninja platform help — real-time public data API stack with 30+ APIs for web scraping, enrichment, and business data. Key APIs include Website Contacts Scraper, Email Search, Local Business Data (Google Maps), Real-Time Web Search (SERP), JSearch (job postings), and Product Data. Use when extracting emails/contacts from domains, searching Google Maps for local businesses, running web search via API, aggregating job postings, fetching product data, or working with any OpenWeb Ninja API. Do NOT use for cross-platform enrichment strategy (use /sales-enrich), prospect list building strategy (use /sales-prospect-list), or connecting tools (use /sales-integration).
Search DuckDB and DuckLake documentation and blog posts. Returns relevant doc chunks for a question or keyword using full-text search against a locally cached index.
Explore, interpret, and draw conclusions from football data. Use when the user wants to analyse match events, compare teams or players, understand tactical patterns, build visualisations, or needs guidance on what questions to ask of their data. Adapts to the user's experience level.
Tonic integration. Manage data, records, and automate workflows. Use when the user wants to interact with Tonic data.
Vectorized.io integration. Manage data, records, and automate workflows. Use when the user wants to interact with Vectorized.io data.