database management Claude 스킬을 발견하세요. 25개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Manages Qdrant vector collections for optimized semantic search across PDF, code, and markdown documents.
Generates production-ready Frappe Framework v15 DocTypes with service layers, repository patterns, and full test coverage.
Enforces opinionated, production-ready Django development patterns and project structures.
Implements Domain-Driven Design (DDD) tactical patterns in the Spring Boot 4 data layer using JPA or JDBC.
Streamlines Go database operations using production-ready patterns for SQL, ORMs, transactions, and schema migrations.
Identifies and resolves database lock contention and transaction deadlocks to improve system stability and performance.
Detects, analyzes, and resolves database deadlocks by monitoring lock contention and transaction patterns.
Detects, resolves, and prevents database deadlocks across PostgreSQL, MySQL, and MongoDB environments to ensure system stability.
Automates the creation of optimized, production-ready SQL stored procedures and database functions with built-in best practices.
Automates the transfer of historical database records to archive tables or cold storage to optimize performance and reduce primary storage costs.
Generates production-ready stored procedures, triggers, and functions for PostgreSQL, MySQL, and SQL Server databases.
Implements comprehensive audit logging and change tracking to ensure database security and regulatory compliance.
Generates production-ready ORM models and database schemas across multiple frameworks and programming languages.
Automates PostgreSQL backup and recovery operations using pgBackRest and Wasabi S3 storage for FairDB environments.
Designs and implements horizontal database sharding strategies to scale high-traffic applications beyond single-server limitations.
Architects normalized database schemas, generates Mermaid ERD diagrams, and produces optimized SQL CREATE statements for robust data modeling.
Designs, normalizes, and visualizes efficient database schemas using industry best practices and automated ERD generation.
Automates the creation of ORM models, entity classes, and database schemas with standardized best practices and comprehensive documentation.
Designs high-performance NoSQL schemas and data models optimized for scalability and specific query access patterns.
Generates comprehensive database documentation, ERD diagrams, and data dictionaries automatically from existing schemas.
Automates the configuration and management of database replication, failover, and high availability for robust data consistency.
Designs high-performance NoSQL schemas and data structures for MongoDB, DynamoDB, and other non-relational databases.
Analyzes and optimizes database query performance by interpreting EXPLAIN plans and identifying execution bottlenecks.
Implements production-ready multi-tier caching architectures to optimize database performance and reduce latency.
Architects optimized relational database schemas through normalization, ERD visualization, and automated SQL generation.
Architects efficient NoSQL database schemas and document structures for high-performance applications like MongoDB and DynamoDB.
Architects normalized database schemas, generates visual ERD diagrams, and produces optimized SQL scripts for production environments.
Automates database disaster recovery, point-in-time restoration, and failover orchestration for production systems.
Automates the enforcement of data types, referential integrity, and custom business rules across database schemas to ensure high-quality data storage.
Optimizes database query performance through intelligent index design, implementation, and automated performance validation.
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