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。
Analyzes and optimizes database schemas for normalization, data integrity, and high-performance indexing.
Audits database migrations for schema safety, data integrity, and zero-downtime deployment patterns.
Executes native MongoDB query syntax directly from the command line with built-in safety features and flexible output formatting.
Performs expert-level database schema analysis, query optimization assessments, and architectural reviews to ensure data integrity and performance.
Designs high-performance database schemas and manages migrations for PostgreSQL, MySQL, and NoSQL systems.
Implements type-safe SQLite database workflows using LibSQL and Drizzle ORM for local, Turso, and Cloudflare D1 environments.
Implements high-performance database architectures, secure Row Level Security policies, and type-safe data services for Supabase environments.
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.
Manages database schema changes through reversible migrations, clear naming conventions, and safe deployment practices for backend services.
Optimizes Laravel database interactions using Eloquent ORM patterns, advanced relationships, and query performance techniques.
Configures and manages TinyDB document databases for efficient JSON-based data persistence in Python applications.
Automates the archival of historical database records to cold storage or archive tables to optimize performance and ensure regulatory compliance.
Automates the implementation of database audit trails and change tracking to ensure data integrity and regulatory compliance.
Automates secure database backups and restoration procedures for PostgreSQL, MySQL, MongoDB, and SQLite.
Implements multi-tier caching architectures to optimize database performance and reduce latency using Redis, in-memory layers, and CDNs.
Detects, analyzes, and prevents database deadlocks by monitoring lock contention and identifying problematic transaction patterns.
Automates database schema comparisons and generates safe, production-grade migration scripts with built-in rollback procedures.
Automates the generation of comprehensive database documentation, ERD diagrams, and data dictionaries from existing schemas.
Standardizes C# database integration across DuckDB, PostgreSQL, MySQL, and legacy ODBC systems using optimized implementation patterns.
Automates the creation, application, and rollback of database schema migrations across multiple SQL and NoSQL engines.
Automates the design, implementation, and management of database partitioning strategies to optimize query performance and data archival.
Automates database disaster recovery, point-in-time recovery (PITR), and failover strategies to ensure production system resilience.
Automates the setup and management of database replication, failover, and high availability configurations for PostgreSQL and MySQL.
Designs, normalizes, and visualizes relational database schemas with automated ERD and SQL generation.
Architects and implements horizontal database sharding strategies to scale data storage and performance across multiple servers.
Monitors database transactions in real-time to detect long-running queries, lock contention, and transaction anomalies.
Generates realistic, schema-aware test data and database seed scripts to populate development and testing environments.
Ensures database reliability by automatically implementing data types, ranges, and referential integrity constraints using a specialized validation engine.
Designs high-performance NoSQL schemas and data models optimized for scalability in databases like MongoDB and DynamoDB.
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