DBHub skill teaches agents a progressive, token-efficient workflow for interacting with databases via DBHub MCP tools. It formalises an explore-then-query pattern: discover schemas, list tables, inspect columns, then execute precise SQL. This reduces failed queries and speeds up successful data retrieval.
Use when asked to inspect database schemas, find tables or columns, or run SQL through an MCP-connected DBHub server. It triggers on generic requests like "check the database" or explicit SQL tasks; it also applies whenever multiple databases are registered to ensure the correct tool variant is called.
search_objects and execute_sql usage, recommended detail_level values, error recovery patterns, and examples for multi-database setups.Compatible with agents that can call MCP tools (search_objects, execute_sql) such as Claude/Anthropic-based agents, Cursor, Codex/Code-Aligned agents, and other MCP-capable LLM connectors.
This skill has not been reviewed by our automated audit pipeline yet.
