Descubre Habilidades de Claude para database management. Explora 29 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Manages PostgreSQL database operations including Alembic migrations, backups, restorations, and pgvector extension management for development and production environments.
Reviews and optimizes ORM code for efficiency, transaction handling, and N+1 query prevention.
Architects high-performance PostgreSQL schemas using industry best practices for data integrity, indexing, and advanced features.
Manages data lineage, metadata cataloging, access control, and compliance standards for modern data platforms.
Designs optimized database schemas, dimensional models, and normalized structures for efficient data analytics and storage.
Architects robust ETL/ELT data pipelines with standardized patterns for reliability and scalability.
Manages Supabase local development environments, database migrations, and multi-language type generation via comprehensive CLI command guidance.
Infers and generates database schemas, migrations, and ORM models directly from natural language feature descriptions.
Prevents D1/SQLite 'too many SQL variables' errors by automatically batching Drizzle ORM queries with dynamic arrays.
Queries the China Historical GIS Temporal Gazetteer API to retrieve and analyze historical Chinese placenames and administrative structures from 222 BCE to 1911 CE.
Configures high-performance SQLAlchemy async patterns for Supabase, including Row Level Security (RLS) authentication and optimized connection pooling.
Facilitates seamless database schema and data migrations across multiple ORMs with a focus on zero-downtime strategies and safety.
Executes safe SELECT queries against MySQL and MariaDB databases with built-in connection pooling and SQL injection prevention.
Optimizes data warehouse performance through efficient partitioning, query tuning, and cost-effective resource management.
Implements industry-standard dbt patterns for scalable data transformation, automated testing, and comprehensive documentation.
Designs robust, scalable relational database schemas through structured workflows, entity-relationship modeling, and SQL generation.
Optimizes vector database performance and memory efficiency through advanced quantization techniques, HNSW indexing, and intelligent caching strategies.
Optimizes PostgreSQL database performance by analyzing execution plans, identifying bottlenecks, and implementing advanced indexing strategies.
Executes native MongoDB query syntax directly from the command line with built-in safety features and flexible output formatting.
Implements high-performance database architectures, secure Row Level Security policies, and type-safe data services for Supabase environments.
Standardizes Sequelize ORM model definitions and best practices for high-performance PostgreSQL implementations.
Implements high-performance semantic vector search and document retrieval for RAG systems and intelligent knowledge bases.
Provides expert guidance on PostgreSQL schema design, Alembic migrations, SQLAlchemy patterns, and query optimization for high-performance database applications.
Generates robust database migrations following Laravel best practices for reversible schema changes and optimal performance.
Optimizes database performance and security through efficient query patterns, eager loading, and transaction management.
Optimizes MongoDB aggregation pipelines through strategic stage ordering, index utilization, and performance-driven query patterns.
Manages database schema changes through reversible migrations, clear naming conventions, and safe deployment practices for backend services.
Writes secure, optimized database queries and data access logic using industry best practices for performance and scalability.
Configures and manages TinyDB document databases for efficient JSON-based data persistence in Python applications.
Provides battle-tested Sequelize migration patterns and best practices for safe PostgreSQL schema changes.
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