发现database management类别的 Claude 技能。浏览 25 个技能,找到适合您 AI 工作流程的完美功能。
Provides expert guidance for writing, optimizing, and debugging Trino SQL queries specifically tailored for the Treasure Data ecosystem.
Deploys database migrations safely across multiple environments with automated health checks and production backups.
Optimizes AgentDB vector databases through quantization, HNSW indexing, and advanced caching to maximize search speed and minimize memory overhead.
Manages cross-agent knowledge sharing, persistent learning patterns, and context consumption for multi-agent AI teams.
Provides expert guidance on using the Trino command-line interface to interactively query and explore Treasure Data environments.
Designs efficient database schemas, plans safe migrations, and optimizes queries for relational and document databases using industry-best practices.
Optimizes database performance through advanced indexing strategies, query plan analysis, and efficient SQL design patterns.
Designs optimized PostgreSQL schemas using industry best practices for performance, data integrity, and scalability.
Manages PostgreSQL databases on Railway with support for ORM migrations, connection pooling, and automated backups.
Manages Qdrant vector database deployments on Railway for high-performance AI applications and semantic search systems.
Optimizes data entity navigation and prevents N+1 query issues through efficient batch loading and relationship patterns.
Guides the conversion of memory-intensive Trino queries to Hive syntax and execution patterns to resolve resource constraints and performance issues.
Simplifies data persistence by replacing traditional repository patterns with self-aware, self-persisting entities.
Provides expert guidance and automated workflows for migrating databases across engines, versions, and cloud platforms with minimal downtime.
Manages local-first data synchronization and state persistence using Loro CRDTs and draft-style mutations.
Implements category-theoretic data structures and algebraic databases using attributed C-sets for advanced technical computing.
Builds reactive, local-first applications with sub-millisecond live queries and seamless background data synchronization.
Defines core system entities and relationships using a minimal, plain-language conceptual approach.
Guides systematic SQL query development for data analysis, ensuring accuracy and reproducibility through a structured five-phase process.
Standardizes the CSV import process through automated discovery, schema design, and data normalization for relational databases.
Automates systematic data profiling and exploration across multiple SQL database dialects.
Generates safe, reversible database migrations and schema transformations for multiple ORMs and raw SQL.
Architects, optimizes, and manages end-to-end data pipelines, warehouse schemas, and analytics workflows using industry-standard frameworks.
Analyzes and compares DuckDB and LanceDB schemas using algebraic databases and category theory to identify structural differences and data loss.
Architects robust PostgreSQL schemas using expert normalization, indexing strategies, and zero-downtime migration patterns.
Manages Google Drive using an algebraic database schema and triadic logic to ensure high-order file organization and permission stability.
Generates DBeaver database client configurations from Pydantic models using mise as a single source of truth.
Facilitates seamless migrations from Prisma, KeystoneJS, and Next.js projects to the OpenSaaS Stack with expert guidance.
Automates and guides the Drizzle Kit database migration workflow for the Hyper Forge platform.
Streamlines the discovery, access, and querying of local DuckDB databases and associated Python utility libraries.
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