database management Claude 스킬을 발견하세요. 25개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Manages database schema migrations with automated guidance for versioning, deployment, and validation across SQL and NoSQL environments.
Streamlines the creation of type-safe Convex backends with optimized schemas, queries, and serverless functions.
Generates realistic test data and database seed scripts to populate development and testing environments efficiently.
Generates and validates Mermaid.js entity-relationship diagrams to visualize database schemas and data structures.
Implements robust PII detection, data retention policies, and GDPR/CCPA compliance patterns within Supabase environments.
Optimizes data pipeline performance by automating the creation and management of efficient data partitioning strategies.
Optimizes and automates the configuration of Memcached instances for high-performance backend caching.
Architects and optimizes production-grade database schemas for SQL and NoSQL environments.
Constructs modular and maintainable SQL queries using Common Table Expressions to simplify complex data analytics tasks.
Audits Supabase integrations to identify anti-patterns, security risks, and common implementation mistakes.
Enforces best practices and security policies for Supabase integrations through automated linting and CI/CD guardrails.
Generates production-ready dbt models and SQL transformations to streamline data pipeline development.
Optimizes database performance by designing and implementing efficient indexing strategies across SQL and NoSQL systems.
Compares and synchronizes database schemas across environments using automated diffing tools for SQL and NoSQL systems.
Automates multi-phase database schema optimization workflows through structured validation and comprehensive reporting.
Automates the creation and configuration of Google BigQuery tables using gcloud commands and schema best practices.
Automates the migration of historical database records to archive tables or cloud cold storage to optimize database performance.
Automates the creation of production-ready TypeORM entities and data models for Node.js backend applications.
Orchestrates complex data migrations from legacy recruiting platforms into Juicebox using advanced transformation pipelines and rate-limited bulk imports.
Validates and manages data schemas within ETL and data pipeline workflows to ensure structural integrity and reliability.
Simplifies the construction and optimization of intricate SQL joins for advanced data analytics and business intelligence workflows.
Automates the creation and management of Google Cloud Firestore indexes using industry-standard patterns and best practices.
Automates database scaling, replication, and sharding across PostgreSQL, MySQL, and MongoDB environments.
Automates database backup workflows with scheduling, encryption, and multi-database support for robust disaster recovery.
Configures and optimizes incremental data loading patterns for efficient ETL pipelines and data synchronization.
Configures enterprise-grade security controls, including SSO integration and role-based access management for Supabase applications.
Automates the generation and configuration of production-ready Sequelize models for Node.js backend applications.
Generates production-ready ORM models and entity classes across multiple database dialects to streamline backend development.
Generates professional database ER diagrams and visual documentation to simplify the understanding of complex data structures.
Automates the lifecycle management, configuration, and optimization of Elasticsearch indices for production environments.
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