Database Management Claudeスキル

Supabase Database Design

Enforces lean PostgreSQL conventions and a tight-fit design philosophy for optimized Supabase database schemas.

Supabase Project Bootstrapper

Bootstraps new Supabase projects with professional tooling for task management, SQL formatting, and schema introspection.

DB Schema Designer

Designs scalable, optimized database schemas and generates production-ready migrations across SQL and NoSQL platforms.

InstantDB

Provides expert guidance and best practices for building, debugging, and querying with the InstantDB real-time database.

Understanding Data

Performs systematic data profiling and exploratory analysis to reveal the structure, quality, and relationships within relational databases.

BigQuery ETL Core

Establishes foundational project structures, naming conventions, and privacy standards for managing large-scale BigQuery ETL workflows.

Query Writer

Generates and maintains standardized BigQuery SQL and Python ETL scripts following Mozilla's data engineering conventions and partitioning patterns.

Backend Models

Defines and structures database schemas, entities, and relationships while ensuring data integrity and performance through constraints and indexing.

Database Migration & ORM Tools

Executes and manages database schema migrations, data transformations, and rollback procedures across multiple ORMs and platforms.

SQL Optimization Patterns

Optimizes SQL queries and database schemas using advanced indexing, EXPLAIN analysis, and performance-tuning patterns.

SQL Optimization Patterns

Optimizes SQL query performance through systematic execution plan analysis, advanced indexing strategies, and proven query restructuring patterns.

SQL Optimization Patterns

Optimizes database performance through advanced indexing strategies, query plan analysis, and efficient SQL patterns.

PostgreSQL Table Design

Architects high-performance, production-ready PostgreSQL schemas using modern best practices and advanced indexing patterns.

DuckDB SQL

Generates and refines DuckDB SQL queries for data analysis using local database, CSV, and Parquet files.

AgentDB Performance Optimization

Optimizes AgentDB vector database performance through quantization, HNSW indexing, and advanced caching strategies.

Supabase Migration Toolkit

Manages Supabase database migrations using standardized naming conventions, automated linting, and security-first SQL templates.

SQLAlchemy Conversion

Converts asyncpg database code to SQLAlchemy 2.0+ asynchronous patterns while preserving performance and transaction integrity.

Supabase Database Seeding Toolkit

Streamlines the population of Supabase databases with automated seed data generation, bulk loading, and lookup table management.

Backend Migrations

Manages database schema evolutions through reversible migrations, zero-downtime deployment strategies, and standardized version control practices.

AgentDB Advanced Features

Implements advanced vector database capabilities including QUIC synchronization, hybrid search, and distributed multi-agent coordination.

Backend Models

Defines robust database schemas and ORM entities with precise data types, relationships, and validation constraints.

Backend Models

Defines and optimizes database models and ORM entities with robust relationships, data validation, and integrity constraints.

DynamoDB Single-Table Designer

Architects high-performance, production-ready AWS DynamoDB schemas using single-table design principles to optimize scalability and cost.

Database Schema Management

Manages PostgreSQL database schemas and Prisma ORM migrations within the ClaudeCode Sentiment Monitor project.

AsyncPG Database Detection

Scans Python and FastAPI projects to identify asyncpg imports, connection patterns, and query logic for migration to SQLAlchemy.

Supabase Expert

Manages Supabase database operations, security policies, and edge functions following project-specific standards and real-time state verification.

PostgreSQL Schema Architect

Designs high-performance, production-grade PostgreSQL schemas optimized for durability, scalability, and modern data standards.

SQL Optimization Patterns

Optimizes database performance through advanced SQL query patterns, indexing strategies, and execution plan analysis.

PostgreSQL Schema Architect

Architects optimized PostgreSQL schemas using industry best practices for data integrity, performance, and scalability.

PostgreSQL Table Design

Architects production-grade PostgreSQL schemas using expert-level best practices for data integrity, performance, and scalability.