Database Management Claudeスキル

Auto-Claude Memory System

Enables persistent, graph-based memory for Claude Code to retain context and learn from previous sessions.

JUDO DAO Core Patterns

Guides the implementation of standardized data access patterns, payload processing, and entity lifecycle management within the JUDO framework.

Next.js Firestore Integration

Streamlines Next.js development with Firebase Firestore by providing type-safe patterns for data operations, real-time synchronization, and authentication.

JUDO RDBMS Query Debugger

Troubleshoots and traces JUDO DAO SQL generation to resolve performance bottlenecks and query inaccuracies.

Database Design Architect

Optimizes database architecture by providing expert guidance on schema design, ORM selection, and performance indexing.

Event Store Design & Implementation

Designs and implements robust event store architectures for event-sourced systems and microservices.

Database Migration

Facilitates seamless database schema and data migrations across multiple ORMs with zero-downtime strategies and robust rollback procedures.

Projection Patterns for Event Sourcing

Build efficient read models and materialized views from event streams to optimize query performance and implement CQRS architectures.

Database Design & Strategy

Architects high-performance database schemas and provides strategic guidance on database and ORM selection.

ClickHouse Analytics & Data Engineering

Optimizes ClickHouse database performance through high-performance schema design, analytical query patterns, and efficient data engineering practices.

Data Access Layer Architect

Builds and manages robust, repository-based data access layers for TypeScript and Node.js applications.

NoSQL Expert Patterns

Optimizes distributed database architecture for Cassandra and DynamoDB using query-first modeling and high-scale design patterns.

Hoardinator Session Ingest

Automates the synchronization of local Claude Code session transcripts to a Supabase database for centralized tracking and analysis.

PostgreSQL Optimization & Patterns

Provides production-ready PostgreSQL patterns for query optimization, schema design, and database security based on Supabase best practices.

PostgreSQL Database Patterns

Optimizes PostgreSQL database schemas, queries, and security through expert-level performance patterns and implementation best practices.

Spring Data JPA & Hibernate Patterns

Optimizes Spring Boot data layers with expert JPA/Hibernate patterns for entity design, relationship mapping, and query performance.

Database Migrations

Implements safe, reversible database schema changes and zero-downtime deployment strategies across major ORMs and SQL dialects.

Database Migrations

Standardize and automate safe, zero-downtime database schema changes and data migrations across multiple platforms and ORMs.

Database Migrations

Implements safe, zero-downtime database schema changes and data migrations using industry-standard patterns.

Zero-Downtime Migration Planner

Generates comprehensive, phased migration strategies for databases, services, and infrastructure using proven industry patterns to minimize risk.

MongoDB & Mongoose Schema Designer

Architects high-performance MongoDB schemas using Mongoose for robust Node.js data modeling.

MongoDB Schema & Mongoose Architect

Architects high-performance MongoDB schemas using Mongoose with optimized indexing, validation, and data relationship patterns.

Data Modeling & Schema Design

Designs optimized database schemas and indexing strategies tailored to specific application access patterns.

Database Selection & Architecture

Guides developers through choosing the optimal database architecture based on access patterns, scalability needs, and consistency requirements.

SQLModel ORM Database Helper

Designs and implements production-grade database layers using SQLModel and SQLAlchemy 2.0 patterns for Python projects.

SQLModel ORM Helper

Designs and implements production-grade database layers for Python applications using SQLModel and SQLAlchemy 2.0 patterns.

EF Core Data Persistence for .NET

Implements a robust data persistence layer using Entity Framework Core and Hexagonal Architecture for .NET applications.

Prisma ORM Setup & Patterns

Configures and optimizes Prisma ORM for type-safe database access and streamlined schema management in Node.js applications.

Node.js Database Query Optimization

Optimizes database performance in Node.js applications by implementing indexing, pagination, and N+1 query prevention strategies.

Database Implementer

Generates robust database schemas, versioned migrations, and optimized data access layers for efficient application development.