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。
Streamlines Convex backend development, deployment, and MCP integration for AI coding agents.
Provides expert guidance for developing, deploying, and optimizing Azure Database for MySQL Flexible Server workloads.
Provides expert guidance for Azure Cosmos DB development, including architecture design, performance tuning, and troubleshooting across all APIs.
Provides expert guidance for architecting, managing, and troubleshooting Azure SQL Database environments.
Architects optimized Azure Cosmos DB NoSQL data models by analyzing access patterns, partition strategies, and throughput requirements.
Accesses and analyzes the China Biographical Database (CBDB) locally for deep historical research on over 656,000 Chinese figures.
Provides expert guidance and automation patterns for migrating on-premises and cloud databases to Azure using the Database Migration Service.
Provides expert guidance for developing, deploying, and optimizing Azure Database for PostgreSQL solutions.
Provides specialized guidance for architecting, managing, and optimizing Azure Data Explorer clusters and Kusto Query Language development.
Automates database migrations, TypeORM schema management, and GraphQL type generation for Expo and serverless projects.
Enforces standardized TypeORM implementation patterns for NestJS backends to ensure consistent database architecture and observability.
Refactors bloated Ruby on Rails models into clean, maintainable patterns like Service Objects, Concerns, and Query Objects.
Manages database migrations, schema generation, and GraphQL codegen for full-stack Expo and serverless projects.
Enforces standardized TypeORM implementation patterns, migration workflows, and database configurations for NestJS backend projects.
Refactors Ruby on Rails ActiveRecord models into modular, maintainable patterns like services, queries, and concerns.
Orchestrates complex Salesforce record management through intelligent matching, lead conversion, and error-resilient data upsert workflows.
Enforces Salesforce metadata best practices and naming conventions for objects, fields, flows, and validation rules.
Manages high-volume Salesforce data extraction by implementing safe pagination strategies, LIMIT/OFFSET logic, and Bulk API workflows.
Architects type-safe database schemas and high-performance PostgreSQL 18 queries using Drizzle ORM best practices.
Optimizes Postgres database performance and security using Supabase-curated best practices for queries, schemas, and Row-Level Security.
Simplifies database access by implementing robust repository patterns, custom queries, and performance-tuned data modeling for Spring Boot applications.
Automates the creation and management of safe, reversible, and zero-downtime database schema migrations across multiple ORMs and SQL environments.
Simplifies MongoDB database interactions using the Mongoose ODM for schema modeling and advanced querying.
Manages recurring Salesforce data-quality monitoring, field population health, and integration sync integrity.
Implements production-grade Salesforce Apex trigger architectures using the handler pattern and bulkification best practices.
Safeguards Salesforce data operations by validating SOQL queries and jq expressions against dangerous patterns and governor limit risks.
Implements production-grade Redis string operations, atomic counters, and efficient caching patterns for high-performance applications.
Extends Redis capabilities with advanced modules including RedisJSON, RediSearch, RedisTimeSeries, and RedisBloom for complex data modeling.
Configures and manages Redis master-replica architectures and Sentinel high-availability clusters for resilient data scaling.
Optimizes Redis environments through advanced memory analysis, slow log troubleshooting, and high-concurrency benchmarking.
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