Database Management Claudeスキル

Treasure Data MCP

Integrates Claude Code with Treasure Data to enable natural language querying, database management, and workflow monitoring via the Model Context Protocol.

SQL Optimization Patterns

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

PostgreSQL Table Design

Designs optimized, high-performance PostgreSQL schemas using industry-standard best practices for data integrity and scalability.

Dataverse Queries

Simplifies retrieving and filtering data from Microsoft Dataverse using optimized OData and SQL syntax.

dbt for Treasure Data

Provides expert guidance and implementation patterns for using dbt (data build tool) with the Treasure Data Trino engine.

Supabase Agentic Platform Schema

Deploys standardized Supabase database schemas for tracking AI agent runs, events, artifacts, and tool calls.

LangGraph State Persistence

Implements robust state persistence and checkpointing patterns for LangGraph agents using Memory, SQLite, and Postgres backends.

Managed Databases (DigitalOcean)

Provision and connect to DigitalOcean managed database clusters including PostgreSQL, Redis, MongoDB, and Kafka.

Dataverse Schema Design

Designs robust Microsoft Dataverse table schemas and data models following enterprise best practices.

Trino SQL for Treasure Data

Provides expert guidance for writing, optimizing, and debugging Trino SQL queries specifically tailored for the Treasure Data ecosystem.

Safe Migration Deployer

Deploys database migrations safely across multiple environments with automated health checks and production backups.

Bazinga DB Context

Manages cross-agent knowledge sharing, persistent learning patterns, and context consumption for multi-agent AI teams.

SQL Optimization Patterns

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

Trino CLI for Treasure Data

Provides expert guidance on using the Trino command-line interface to interactively query and explore Treasure Data environments.

PostgreSQL Table Design

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

Railway Postgres Manager

Manages PostgreSQL databases on Railway with support for ORM migrations, connection pooling, and automated backups.

Koan Entity Relationships

Optimizes data entity navigation and prevents N+1 query issues through efficient batch loading and relationship patterns.

Railway Qdrant Manager

Manages Qdrant vector database deployments on Railway for high-performance AI applications and semantic search systems.

Koan Entity-First Data Access

Simplifies data persistence by replacing traditional repository patterns with self-aware, self-persisting entities.

Database Design

Designs efficient database schemas, plans safe migrations, and optimizes queries for relational and document databases using industry-best practices.

Trino to Hive Migration

Guides the conversion of memory-intensive Trino queries to Hive syntax and execution patterns to resolve resource constraints and performance issues.

AgentDB Performance Optimization

Optimizes AgentDB vector databases through quantization, HNSW indexing, and advanced caching to maximize search speed and minimize memory overhead.

ACSets Hatchery

Implements category-theoretic data structures and algebraic databases using attributed C-sets for advanced technical computing.

Conceptual Data Modeling

Defines core system entities and relationships using a minimal, plain-language conceptual approach.

CRDT State Management

Manages local-first data synchronization and state persistence using Loro CRDTs and draft-style mutations.

Data Engineering & Analytics Assistant

Architects, optimizes, and manages end-to-end data pipelines, warehouse schemas, and analytics workflows using industry-standard frameworks.

Systematic Data Import

Standardizes the CSV import process through automated discovery, schema design, and data normalization for relational databases.

Analytical SQL Writing

Guides systematic SQL query development for data analysis, ensuring accuracy and reproducibility through a structured five-phase process.

Database Migration Guide

Provides expert guidance and automated workflows for migrating databases across engines, versions, and cloud platforms with minimal downtime.

Data Profiler & Explorer

Automates systematic data profiling and exploration across multiple SQL database dialects.