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。
Integrates Claude Code with Treasure Data to enable natural language querying, database management, and workflow monitoring via the Model Context Protocol.
Implements high-performance database migrations, query optimizations, and transaction management patterns for robust data layers.
Provides expert guidance and implementation patterns for using dbt (data build tool) with the Treasure Data Trino engine.
Provides expert guidance for writing, optimizing, and debugging Trino SQL queries specifically tailored for the Treasure Data ecosystem.
Manages sophisticated vector database operations including QUIC synchronization, hybrid search, and distributed multi-agent coordination.
Streamlines database schema design, query optimization, and administration for both MongoDB and PostgreSQL environments.
Implement best practices for building robust, secure, and cost-optimized backends using the Convex database.
Optimizes Ruby on Rails database interactions using advanced ActiveRecord patterns, query optimization, and PostgreSQL-specific features.
Facilitates advanced temporal versioning and causality tracking within DuckDB using time-travel queries and deterministic interaction coloring.
Accelerates SAP Datasphere development by providing expert guidance on data modeling, ETL orchestration, and BTP integration.
Guides the integration of external databases and services into Claude Code using the Model Context Protocol (MCP).
Standardizes PostgreSQL database initialization with automated schema generation, setup scripts, and high-performance connection drivers.
Optimizes database performance through systematic query tuning, advanced indexing strategies, and detailed execution plan analysis.
Implements robust persistence layers using Spring Data JPA, including repository patterns, entity relationships, and query optimization.
Automates database schema and data migrations with zero-downtime strategies and robust rollback procedures across multiple ORMs.
Designs and implements robust event stores for event-sourced systems using various database technologies and architectural patterns.
Design and implement efficient read models and materialized views from event streams for event-sourced architectures.
Implements robust data validation and quality assurance using Great Expectations, dbt tests, and formal data contracts.
Implements production-ready dbt patterns for scalable data modeling and analytics engineering workflows.
Guides the creation of performant, scalable, and normalized PostgreSQL database schemas using industry best practices.
Streamlines graph database development by implementing Spring Data Neo4j patterns for node entities, relationships, and Cypher queries.
Simplifies Amazon DynamoDB integration in Java applications using the AWS SDK 2.x and Enhanced Client.
Generates production-ready Supabase migrations with idempotent SQL, strict naming conventions, and advanced RLS security patterns.
Implements a unified container model for complex Ruby on Rails content systems with 5 or more distinct types.
Manages database schema changes and versioning through standardized Flyway migration patterns and PostgreSQL best practices.
Provides programmatic guidance for adding fields to PocketBase collection schemas using the JavaScript SDK.
Synchronizes TikTok engagement data and readings from ClickHouse to Supabase to keep web content updated.
Identifies and resolves common database performance bottlenecks and inefficient query patterns in modern ORMs.
Implements robust database strategies for zero-downtime migrations, automated backups, and regulatory data compliance.
Diagnoses and fixes corrupted Notion databases by repairing schemas, cleaning orphan properties, and resolving API validation errors.
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