发现database management类别的 Claude 技能。浏览 33 个技能,找到适合您 AI 工作流程的完美功能。
Queries and manages integrated connector configurations and API metadata within the v3_openapi database.
Simplifies querying and managing the v3_e-report database for data analysis alert configurations and tenant statistics.
Provides specialized SQL query templates for managing and exploring v3_metadata database structures, including business objects and custom fields.
Optimizes Apache DataFusion SQL queries and DataFrame operations through advanced performance analysis and best practices.
Optimizes Parquet file operations in Rust to improve query performance, reduce storage costs, and prevent memory issues.
Manages database schema changes through reversible, version-controlled migration files while ensuring zero-downtime deployment compatibility.
Constructs optimized and secure database queries using parameterized statements, eager loading, and efficient indexing strategies.
Implements robust search capabilities for task management applications, including keyword matching, relevance ranking, and multi-criteria filtering.
Writes, reviews, and optimizes performant SQL queries while applying PostgreSQL-specific best practices for schema design and performance tuning.
Implement high-performance distributed vector databases with sub-millisecond synchronization, hybrid search, and advanced distance metrics.
Optimizes AgentDB vector database performance using quantization, HNSW indexing, and advanced caching strategies to reduce memory footprint and accelerate search speeds.
Analyzes and converts legacy Thai accounting DBF databases into efficient Parquet format for high-performance SQL querying with DuckDB.
Optimizes database performance and reliability by configuring robust connection pools for SQLAlchemy across traditional and serverless architectures.
Designs robust, scalable relational database schemas through structured workflows, entity-relationship modeling, and SQL generation.
Executes safe SELECT queries against MySQL and MariaDB databases with built-in connection pooling and SQL injection prevention.
Implements industry-standard database design patterns, indexing strategies, and migration best practices for optimized data persistence.
Prevents D1/SQLite 'too many SQL variables' errors by automatically batching Drizzle ORM queries with dynamic arrays.
Implements high-performance semantic vector search and document retrieval with sub-millisecond latency for intelligent RAG systems.
Generates and refines DuckDB SQL queries for data analysis using local database, CSV, and Parquet files.
Architects and maintains robust data pipelines, analytics infrastructure, and integration workflows.
Simplifies complex SQL query writing, database schema design, and performance optimization across major relational database systems.
Optimizes database performance through advanced indexing strategies, query plan analysis, and efficient data retrieval patterns.
Optimizes Supabase PostgreSQL database performance by analyzing execution plans and implementing advanced indexing and RLS strategies.
Implements secure, atomic PostgreSQL transactions in Supabase using PL/pgSQL RPC functions to ensure data consistency.
Generates production-ready CRUD operations for Supabase tables with built-in error handling, type safety, and RLS awareness.
Configures production-ready Row Level Security policies for Supabase tables to ensure secure, role-based data access.
Designs production-ready, normalized database schemas with relationships, constraints, and Row Level Security specifically for Supabase.
Manages Supabase database operations, security policies, and edge functions following project-specific standards and real-time state verification.
Scans Python and FastAPI projects to identify asyncpg imports, connection patterns, and query logic for migration to SQLAlchemy.
Converts asyncpg database code to SQLAlchemy 2.0+ asynchronous patterns while preserving performance and transaction integrity.
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