database management Claude 스킬을 발견하세요. 25개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Implements scalable data lakehouse patterns using Bronze, Silver, and Gold layer design principles and templates.
Automates data classification and tagging within Databricks Unity Catalog to ensure regulatory compliance and data governance.
Implements robust data mesh architectures with standardized contracts, SLAs, and governance frameworks on Databricks.
Optimizes AgentDB vector databases through quantization, HNSW indexing, and advanced caching to drastically reduce memory usage and increase search speed.
Architects scalable database schemas, optimizes SQL queries, and manages complex data migrations using industry best practices.
Implements high-performance semantic vector search for intelligent document retrieval and context-aware RAG systems.
Optimizes AgentDB vector database performance through quantization, HNSW indexing, and efficient batch operations.
Manages Supabase projects, optimizes Postgres performance, and automates database migrations and Row-Level Security (RLS) policies using the Supabase CLI.
Automates secure database backup creation, verification, and metadata tracking across development and production environments.
Manages sophisticated vector database operations including QUIC synchronization, hybrid search, and distributed multi-agent coordination.
Automates the process of encoding, hashing, and uploading files to a CRM database while linking them to specific business entities.
Manages database operations, schema definitions, and migrations using Drizzle ORM and Neon PostgreSQL for robust data layers.
Analyzes database migrations for destructive operations and enforces production safety rules to prevent accidental data loss.
Manages Treasure Data resources and executes SQL queries using the tdx CLI directly within Claude.
Simplifies interaction with the Microsoft PowerPlatform Dataverse Client SDK for building robust Python integrations.
Implements high-performance similarity search and vector retrieval patterns for AI-driven applications.
Identifies and validates foreign key relationships in relational databases using naming heuristics and deep value overlap analysis.
Optimizes Frappe Framework applications by generating efficient database queries, implementing caching strategies, and managing database indexes.
Simplifies data transformation and analytics engineering by providing standardized dbt patterns, model structures, and testing frameworks.
Facilitates advanced distributed state management using Conflict-free Replicated Data Types (CRDTs) and reversible computing patterns.
Discovers and cross-references communication threads with DuckDB data sources using XOR-deterministic parallel operations.
Performs ergodic random walk exploration of DuckDB and DuckLake schemas using concurrent, triadic agent coordination.
Optimizes graph rewriting and incremental query updates using category-theoretic adhesive patterns.
Implements advanced data transformation patterns using SQLMesh for efficient incremental processing and column-level lineage.
Implement best practices for building robust, secure, and cost-optimized backends using the Convex database.
Implements high-performance database migrations, query optimizations, and transaction management patterns for robust data layers.
Optimizes Postgres performance and schema design for Gleam-based backend stacks using Squirrel, POG, and Cigogne.
Orchestrates database lifecycle operations across development phases from requirement detection to production release.
Automates data consistency and recovery between external services and local databases by handling webhook failures and event drift.
Queries MySQL and PostgreSQL databases safely with read-only protection and structured JSON output for AI agents.
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