Does it support specific application databases?

While it handles general SQL, it is designed to redirect users to specialized skills like op-db-user or op-db-metadata for domain-specific database tasks.

How are query results displayed to the user?

Results are automatically structured into tables or lists with explicit record counts, avoiding raw JSON clutter for better readability.

Does it support schema exploration?

Yes, it includes built-in methods for describing tables, showing columns, listing databases, and viewing table creation statements.

Is there a safety check for SQL execution?

The skill requires the AI to print the full SQL statement for the user to see before the exec_sql tool is actually triggered.

How does the op-db skill execute queries?

It utilizes the exec_sql MCP tool to run queries against your connected databases, ensuring a standardized execution environment.

Universal Database Query Tool

Name: Universal Database Query Tool
Author: SeSiTing

bySeSiTing

Database Management

Executes and manages SQL queries while providing structured schema insights and formatted data results via MCP tools.

About

The op-db skill serves as a foundational interface for database interactions within Claude Code, enabling developers to perform standard SQL operations and explore database architectures. It provides a standardized framework for querying table structures, listing databases, and retrieving records using the exec_sql tool. By enforcing a workflow that includes SQL previews and structured result presentation (such as tables and record counts), it ensures transparency and readability. Additionally, it acts as a routing hub that directs users toward more specialized skills for user management, API configurations, and metadata audits.

Key Features

0 GitHub stars
Comprehensive schema discovery including table structures and creation statements
Mandatory SQL statement previewing for better debugging and safety
Seamless routing to specialized database sub-skills for domain-specific tasks
Standardized SQL execution via the integrated exec_sql MCP tool
Structured data output with automatic table formatting and record counts

Use Cases

Performing quick data audits and record counts for debugging purposes
Exploring and documenting unfamiliar database schemas and table relationships
Generating and testing complex SQL queries with immediate structured feedback

About

Key Features

0 GitHub stars
Comprehensive schema discovery including table structures and creation statements
Mandatory SQL statement previewing for better debugging and safety
Seamless routing to specialized database sub-skills for domain-specific tasks
Standardized SQL execution via the integrated exec_sql MCP tool
Structured data output with automatic table formatting and record counts

Use Cases

Performing quick data audits and record counts for debugging purposes
Exploring and documenting unfamiliar database schemas and table relationships
Generating and testing complex SQL queries with immediate structured feedback