发现database management类别的 Claude 技能。浏览 25 个技能,找到适合您 AI 工作流程的完美功能。
Implements optimized PostgreSQL schema designs, indexing strategies, and Row Level Security policies based on industry best practices.
Optimizes ClickHouse database schemas, query performance, and data engineering workflows for high-performance analytical workloads.
Optimizes ClickHouse database schemas and analytical queries for high-performance OLAP workloads.
Optimizes PostgreSQL database schemas, queries, and security using Supabase-inspired best practices and efficient indexing strategies.
Implements high-performance ClickHouse database patterns, query optimizations, and data engineering best practices for large-scale analytical workloads.
Implements safe, zero-downtime database schema changes and data migrations across multiple SQL engines and ORMs.
Optimizes PostgreSQL databases through expert schema design, indexing strategies, and performance patterns based on Supabase best practices.
Architects, optimizes, and migrates complex database schemas using expert-level analysis and performance-driven best practices.
Architects and validates zero-downtime system migrations with comprehensive rollback strategies and compatibility analysis.
Architects and optimizes high-performance database schemas with expert-level normalization, indexing, and migration strategies.
Builds and optimizes scalable data pipelines, ETL/ELT systems, and robust data infrastructure.
Architects and builds production-grade data pipelines, ETL/ELT systems, and scalable data infrastructure using modern tech stacks.
Navigates complex monorepo structures and data schemas to provide instant context for development and database management.
Architects robust relational database schemas complete with migrations, type-safe models, and advanced security policies.
Optimizes database performance through advanced query tuning, strategic indexing, and scalable architecture design for modern data stacks.
Automates data enrichment, cleanup, and migration pipelines with built-in validation for Supabase databases.
Architects relational database schemas and generates migrations, TypeScript/Python types, and RLS policies for robust backend development.
Streamlines SAP HANA database programming with expert guidance on SQLScript procedures, functions, and performance optimization.
Defines and manages complex semantic relationships between Honeydew entities to enable multi-entity data modeling and cross-filtering.
Builds and maintains scalable, well-documented data warehouses using dimensional modeling principles and dbt best practices.
Configures and manages Honeydew domains to govern data visibility, apply mandatory filters, and establish focused business contexts for deep analysis.
Explores semantic layers, discovers data entities, and executes complex data queries within Honeydew workspaces.
Defines and manages calculated dimensions and virtual columns in Honeydew semantic models using SQL and YAML.
Standardizes database entity design and query optimization using proven JPA and Hibernate best practices.
Executes comprehensive platform migrations from legacy data systems to Databricks with automated schema conversion and validation.
Manages Firebase Firestore operations including CRUD actions, batch processing, and query index optimization.
Translates natural language requirements into production-ready Supabase schemas, SQL migrations, and Row Level Security policies.
Optimizes database performance by identifying missing indexes, removing redundant ones, and providing data-driven indexing recommendations.
Enables advanced semantic search, SQL querying, and result ranking for efficient repository exploration.
Diagnoses and resolves common Supabase errors across API, SDK, and database layers to restore application functionality.
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