How can I implement complex queries with this skill?

The skill supports multiple operators (like $eq, $gt, $in) and allows combining them using AND/OR filters along with sorting and pagination.

Does bkend.ai automatically track record metadata?

Yes, it automatically manages system fields including 'id', 'createdBy', 'createdAt', and 'updatedAt' for all records.

Can I use this skill for authentication or file storage?

No, this skill is strictly for database operations. You should use 'bkend-auth' for authentication and 'bkend-storage' for file management.

How does the skill handle query optimization?

The skill includes specialized tools for index management, allowing you to create and manage single or compound indices to improve query performance.

What data types does the bkend-data skill support?

It supports seven distinct types: String, Number, Boolean, Date, Array, Object, and Mixed types for flexible data modeling.

Bkend Database Management

Name: Bkend Database Management
Author: applewave

byapplewave

0•

Database Management

Manages bkend.ai database operations including table creation, schema versioning, and complex CRUD queries through MCP and REST APIs.

The bkend-data skill empowers Claude to act as a specialized database administrator for the bkend.ai platform. It facilitates comprehensive data lifecycle management, allowing for the creation and modification of tables, field definition with seven distinct data types, and sophisticated data querying using advanced filtering and sorting. By integrating MCP tools and REST API patterns, it streamlines backend development tasks like schema versioning, index management for performance optimization, and relational data handling, ensuring production-ready database implementations with built-in system fields and constraints.

Key Features

01Built-in support for relational data, joins, and automated system field tracking

02Schema version control with the ability to list, view, and apply rollbacks

030 GitHub stars

04Comprehensive CRUD operations with advanced filtering (AND/OR) and pagination

05Dynamic table and field management with support for 7 distinct data types

06Performance optimization through single and compound index management

Use Cases

01Implementing high-performance search queries with custom indexing on the bkend.ai platform

02Building a scalable product catalog with complex filtering and relational data structures

03Managing database schema migrations and versioning for evolving backend services

Key Features

01Built-in support for relational data, joins, and automated system field tracking

02Schema version control with the ability to list, view, and apply rollbacks

030 GitHub stars

04Comprehensive CRUD operations with advanced filtering (AND/OR) and pagination

05Dynamic table and field management with support for 7 distinct data types

06Performance optimization through single and compound index management

Use Cases

01Implementing high-performance search queries with custom indexing on the bkend.ai platform

02Building a scalable product catalog with complex filtering and relational data structures

03Managing database schema migrations and versioning for evolving backend services