database management向けのClaudeスキルを発見してください。29個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Optimizes database performance and manages schema design, migrations, and complex SQL query generation for relational databases.
Implements structured database queries and repository patterns using Prisma ORM to maintain a robust layered architecture.
Manages PostgreSQL schema changes and Prisma database migrations following a split-architecture pattern and strict coding standards.
Constructs standardized dbt models following Kimball dimensional patterns and modern testing configurations.
Generates comprehensive dbt test suites using modern 1.10+ syntax to ensure data integrity and structural consistency across analytical models.
Optimizes database performance and security through efficient query construction, transaction management, and eager loading patterns.
Manages database model configurations, relationships, and validation logic to ensure robust data structures and ORM integrity.
Defines robust database models and schemas with precise ORM mappings, relationships, and data integrity constraints.
Writes efficient, secure database queries while preventing N+1 problems and SQL injection vulnerabilities.
Manages database schema evolutions and data migrations using industry-standard tools and zero-downtime best practices.
Architects high-performance PostgreSQL databases using industry-standard schema design, indexing strategies, and data integrity patterns.
Provides battle-tested Sequelize migration patterns and best practices for safe PostgreSQL schema changes.
Configures and manages TinyDB document databases for efficient JSON-based data persistence in Python applications.
Writes secure, optimized database queries and data access logic using industry best practices for performance and scalability.
Manages database schema changes through reversible migrations, clear naming conventions, and safe deployment practices for backend services.
Optimizes MongoDB aggregation pipelines through strategic stage ordering, index utilization, and performance-driven query patterns.
Optimizes database performance and security through efficient query patterns, eager loading, and transaction management.
Generates robust database migrations following Laravel best practices for reversible schema changes and optimal performance.
Provides expert guidance on PostgreSQL schema design, Alembic migrations, SQLAlchemy patterns, and query optimization for high-performance database applications.
Implements high-performance semantic vector search and document retrieval for RAG systems and intelligent knowledge bases.
Implements high-performance database architectures, secure Row Level Security policies, and type-safe data services for Supabase environments.
Executes native MongoDB query syntax directly from the command line with built-in safety features and flexible output formatting.
Optimizes vector database performance and memory efficiency through advanced quantization techniques, HNSW indexing, and intelligent caching strategies.
Implements industry-standard dbt patterns for scalable data transformation, automated testing, and comprehensive documentation.
Optimizes data warehouse performance through efficient partitioning, query tuning, and cost-effective resource management.
Facilitates seamless database schema and data migrations across multiple ORMs with a focus on zero-downtime strategies and safety.
Configures high-performance SQLAlchemy async patterns for Supabase, including Row Level Security (RLS) authentication and optimized connection pooling.
Queries the China Historical GIS Temporal Gazetteer API to retrieve and analyze historical Chinese placenames and administrative structures from 222 BCE to 1911 CE.
Infers and generates database schemas, migrations, and ORM models directly from natural language feature descriptions.
Manages Supabase local development environments, database migrations, and multi-language type generation via comprehensive CLI command guidance.
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