发现database management类别的 Claude 技能。浏览 23 个技能,找到适合您 AI 工作流程的完美功能。
Transforms flat CSV files into normalized relational database structures by detecting functional dependencies and generating SQL schemas.
Streamlines MongoDB integration across Node.js, Python, and Java with optimized patterns for transactions, connection pooling, and error handling.
Defines and structures database schemas with robust naming conventions, data integrity constraints, and optimized relationship mappings.
Implements high-performance, production-ready database architectures using async patterns and modern ORM best practices.
Designs scalable data lake and lakehouse architectures using optimized partitioning, storage tiers, and high-performance formats like Iceberg and Parquet.
Implements industry-standard database design patterns, indexing strategies, and migration best practices for optimized data persistence.
Manages persistent state and logs for the BAZINGA orchestration system using a concurrent-safe SQLite database.
Generates standardized Repository and Finder interfaces to implement clean, CQRS-compliant data persistence layers.
Manages data flow, Svelte reactive stores, and Firebase Firestore operations for the SikhAid NGO application.
Manages database operations, performance tuning, and high availability configurations through expert guidance and structured analysis.
Implements robust ACID transactions and multi-document operations for MongoDB data consistency.
Facilitates seamless interaction with Google BigQuery via the bq command-line tool for data exploration and analysis.
Standardizes C# database integration across DuckDB, PostgreSQL, MySQL, and legacy ODBC systems using optimized implementation patterns.
Optimizes PostgreSQL database performance through structured analysis, index recommendations, and advanced query refactoring patterns.
Streamlines complex data ingestion from CSV and XLSX files while implementing a robust three-tier history management framework for audit trails.
Implements robust Supabase database patterns, RLS policies, and type-safe TypeScript queries optimized for the PhotoVault ecosystem.
Manages Google Cloud BigQuery table lifecycles, including creation, partitioning, clustering, and security configurations.
Writes secure, performant database queries using parameterization, indexing, and advanced optimization techniques.
Manages Supabase database schemas, migrations, and Row-Level Security (RLS) policies to streamline data operations for the CookMode V2 platform.
Provides standardized C# access patterns and best practices for interacting with DuckDB, PostgreSQL, MySQL, SQL Server, and DBISAM.
Provides standardized RDBMS access patterns and type-safe mapping for DuckDB, PostgreSQL, MySQL, SQL Server, and DBISAM in C#.
Standardizes RDBMS integration in C# for DuckDB, PostgreSQL, MySQL, and legacy systems using optimized drivers and patterns.
Provides standardized RDBMS access patterns and best practices for C# applications across multiple database engines including PostgreSQL, MySQL, and DuckDB.
Manages database schema and data migrations using Alembic through standardized workflows and production-ready best practices.
Manages MongoDB schema changes and repository implementations using Doctrine ODM and Hexagonal Architecture principles.
Eliminates unsafe TypeScript assertions and fixes Drizzle ORM relation type inference issues.
Streamlines database interactions by providing standardized patterns for CRUD operations, session management, and performance optimization.
Optimizes Entity Framework Core implementation for ABP Framework applications using PostgreSQL.
Populates Supabase databases with high-quality seed data, lookup tables, and large datasets using specialized scripts and best practices.
Standardizes PostgreSQL database design for Supabase projects using tight-fit principles and consistent naming patterns.
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