Database Management Claudeスキル
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。
Database Schema Documentation
Generates comprehensive database schema documentation, ERD diagrams, and technical data dictionaries for clear data modeling.
Data Migration Script Generator
Generates robust, reversible, and production-grade database migration scripts for schema changes and data transformations.
Data Modeling Patterns
Designs optimized database schemas and data models using normalization, denormalization, and advanced relationship patterns.
SQL Query Optimization
Optimizes database performance through advanced query rewriting, index design strategies, and EXPLAIN plan analysis.
Litestream for Rails
Configures continuous SQLite backups for Rails 8+ applications using Litestream and S3-compatible storage.
SQL Patterns & Optimization
Provides advanced SQL design patterns and optimization techniques for efficient data engineering and complex query construction.
Production ETL Patterns
Orchestrates production-grade Extract-Transform-Load (ETL) pipelines using reliability patterns and incremental load strategies.
Parquet Data Engineering
Optimizes columnar data storage using Parquet patterns for partitioning, predicate pushdown, and schema evolution.
Event Sourcing
Implements event sourcing and CQRS patterns to maintain a full history of state changes through immutable event streams.
Pre-Dev Data Modeling
Defines technology-agnostic data entities, relationships, and ownership to ensure robust system architecture before database selection.
SQLAlchemy ORM Expert
Implements professional-grade SQLAlchemy ORM patterns and database optimizations for modern Python applications.
Alembic Database Migration
Manages complex database schema evolutions and data migrations using Alembic and SQLAlchemy with a focus on production stability.
PostgreSQL Database Administration
Manages and optimizes PostgreSQL databases for customer support environments, including schema design, performance tuning, and advanced query implementation.
Psycopg PostgreSQL Adapter
Simplifies PostgreSQL database operations in Python with specialized support for connection pooling, asynchronous I/O, and secure query execution.
SQL
Writes and optimizes SQLite queries, schemas, and migrations using standardized best practices and specific implementation patterns.
Redis State Management
Implements high-performance Redis patterns for caching, session management, and distributed state coordination.
PostgreSQL Database Engineering
Optimizes and manages professional PostgreSQL environments through advanced indexing strategies, query tuning, and high-availability architecture patterns.
Neon Serverless Postgres
Streamlines database development by providing expert guidance on Neon's serverless architecture, branching features, and driver integrations.
Kafka Stream Processing
Architects and implements scalable event-driven systems using Apache Kafka for real-time data processing and high-throughput messaging.
dbt Data Transformation
Streamlines analytics engineering workflows by implementing modular SQL transformations, automated testing, and comprehensive data documentation using dbt.
Database Management Patterns
Optimizes data architecture and performance across SQL and NoSQL systems through comprehensive schema design, indexing strategies, and scaling patterns.
Vector Database Management
Manages and optimizes vector databases like Pinecone, Weaviate, and Chroma for semantic search, RAG systems, and similarity-based AI applications.
SQL Query Optimization
Optimizes SQL queries for maximum performance by identifying bottlenecks, rewriting inefficient subqueries, and implementing high-performance patterns like window functions and CTEs.
Database WAL Recovery
Recovers data from SQLite Write-Ahead Log (WAL) files by identifying, analyzing, and decrypting corrupted or inaccessible database components.
Firebase Firestore Specialist
Optimizes Firebase Firestore implementation with expert NoSQL modeling, real-time synchronization, and advanced Security Rules configuration.
SQLite DB Truncation Recovery
Recovers data from corrupted or truncated SQLite databases by manually parsing binary structures when standard tools fail.
Query Optimization
Optimizes SQL queries through systematic performance benchmarking, execution plan analysis, and iterative refinement across multiple database engines.
SQLite Truncated Database Recovery
Recovers data from corrupted or truncated SQLite database files through manual binary analysis and custom parsing when standard tools fail.
SPARQL University
Constructs and verifies complex SPARQL queries for RDF datasets with a focus on academic ontologies and graph pattern matching.
Database WAL Recovery
Provides technical procedures and systematic workflows for recovering data from corrupted, encrypted, or inaccessible SQLite Write-Ahead Log (WAL) files.
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