database management向けのClaudeスキルを発見してください。25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。
Automates the generation, implementation, and testing of database migrations for the Ghost publishing platform.
Automates Prisma ORM operations, schema management, and database migrations via the Rube MCP server.
Compiles ClickHouse source code with automated configuration detection and intelligent AI-powered error analysis.
Provides expert guidance on ClickHouse database design, query optimization, and high-performance analytical patterns.
Optimizes PostgreSQL performance and schema design through battle-tested indexing, security, and query patterns.
Implements industry-standard JPA and Hibernate patterns for high-performance Spring Boot data layers.
Optimizes PostgreSQL database schemas, queries, and security using battle-tested industry patterns and Supabase best practices.
Automates the generation and management of Django database migrations for Sentry's specialized architecture.
Provides high-performance ClickHouse patterns for analytical workloads, query optimization, and efficient data engineering.
Automates the reduction of complex CockroachDB SQL test failure logs into minimal, reproducible test cases.
Architects high-performance PostgreSQL schemas using industry best practices for data integrity and scalability.
Builds high-performance read models and materialized views from event streams for event-sourced architectures.
Automates database schema and data migrations across multiple ORMs while ensuring zero-downtime and robust rollback procedures.
Implements production-ready dbt patterns for scalable data modeling, automated testing, and analytics engineering workflows.
Designs and implements robust event stores for event-sourced systems using various database backends and architectural patterns.
Optimizes SQL queries and database schemas through advanced indexing strategies and systematic execution plan analysis.
Executes complex database migrations across multiple ORMs and platforms using zero-downtime strategies, data transformation scripts, and reliable rollback procedures.
Designs high-performance, production-ready PostgreSQL schemas using optimized data types, advanced indexing strategies, and industry best practices.
Build high-performance read models and materialized views from event streams using CQRS architectural patterns.
Implements Command Query Responsibility Segregation patterns to build scalable, high-performance backend architectures with separate read and write models.
Optimizes slow database queries through systematic indexing strategies, EXPLAIN plan analysis, and efficient query patterning.
Optimizes vector search performance and resource efficiency through expert guidance on HNSW parameters, quantization strategies, and infrastructure scaling.
Architects and implements robust event persistence layers for event-sourced applications using industry-standard patterns and technologies.
Conducts root-cause-first analysis of Apache ShardingSphere GitHub issues using a standardized, evidence-based workflow.
Streamlines analytics engineering workflows by implementing production-ready dbt model organization, testing, and incremental processing strategies.
Enforces strict correctness rules and efficient Rust patterns for building high-integrity production systems.
Explains and navigates Turso's experimental Multi-Version Concurrency Control (MVCC) architecture and snapshot isolation features.
Unifies multiple memory architectures into a high-performance AgentDB backend with HNSW vector indexing for massive search acceleration.
Optimizes AgentDB vector database performance through quantization, HNSW indexing, and advanced caching strategies to reduce memory footprint and search latency.
Manages high-performance distributed AI database operations with low-latency synchronization, hybrid vector search, and advanced similarity metrics.
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