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。
Design and implement high-performance event stores with robust patterns for event-sourced architectures.
Optimizes SQL queries and database schemas using advanced indexing, execution plan analysis, and performance patterns.
Automates and guides complex database migrations across multiple ORMs with a focus on zero-downtime and data integrity.
Architects high-performance PostgreSQL schemas using industry-standard best practices for data integrity and scalability.
Manages idempotent Supabase database migrations, Row Level Security policies, and SaaS schema patterns via MCP.
Manages serverless PostgreSQL projects and branching workflows using the Neon CLI directly within your development environment.
Manages Supabase database instances, enforces PostgreSQL security best practices, and streamlines migration workflows for the Dashboard project.
Streamlines Go database development with expert patterns for PostgreSQL, ClickHouse, and Redis using pgx and Goose.
Manages basins, streams, and real-time data ingestion for the S2 serverless streaming datastore.
Implements advanced vector database features including QUIC synchronization, hybrid search, and multi-node coordination for distributed AI systems.
Executes complex database migrations and schema transformations across multiple ORMs with zero-downtime strategies.
Manages Galaxy Project database schema changes using Alembic for seamless model updates and version control.
Optimizes SQL queries and database performance through systematic indexing strategies, execution plan analysis, and query restructuring.
Researches and documents database-specific SQL syntax and behaviors to ensure accurate R-to-SQL translations for dbplyr.
Reviews database migrations, query performance, and transaction logic to ensure data integrity and prevent production downtime.
Architects high-performance PostgreSQL database schemas using industry-standard best practices for data integrity and scalability.
Implements end-to-end SaaS features including database migrations, backend logic, and frontend components in a single streamlined workflow.
Guides the implementation of Doover's channel-based architecture, state persistence via tags, and inter-agent communication patterns.
Connects to live PostgreSQL databases to validate schema assumptions, perform system catalog queries, and cross-validate DDL outputs.
Optimizes complex SQL queries and designs high-performance database schemas across all major database platforms.
Streamlines and enforces strict naming conventions and security best practices for Supabase database migrations.
Manages PostgreSQL database schemas, migrations, and queries for the StackeyBackend Supabase project.
Streamlines database architecture, query optimization, and management for both MongoDB and PostgreSQL environments.
Generates and maintains standardized BigQuery SQL and Python ETL scripts following Mozilla's data engineering conventions and partitioning patterns.
Optimizes Ruby on Rails database interactions with production-grade ActiveRecord patterns and performance best practices.
Populates Supabase databases with high-quality seed data, lookup tables, and large datasets using specialized scripts and best practices.
Standardizes PostgreSQL database design for Supabase projects using tight-fit principles and consistent naming patterns.
Streamlines the initialization of Supabase projects by configuring SQL formatting, task automation, and schema access via MCP.
Provides expert guidance on PostgreSQL migrations, including idempotent patterns, index optimization, and resolving complex database errors.
Automatically enforces standardized database naming conventions and terminology across SQL, ORM entities, and migration files.
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