Manages bkend.ai database schemas, CRUD operations, and complex data queries via MCP and REST APIs.
The bkend-data skill enables Claude to function as a specialized database expert for the bkend.ai ecosystem, streamlining the entire lifecycle of data management. It provides a robust framework for defining schemas with seven distinct data types, managing constraints, and executing complex CRUD operations using advanced filtering, sorting, and pagination. Beyond basic data handling, it empowers developers to optimize performance through index management and ensure reliability with schema versioning and rollback capabilities, making it essential for building scalable, AI-native backends.
Key Features
01312 GitHub stars
02Multi-language trigger support for global developer workflows
03Comprehensive schema management with version control and rollbacks
04Automated performance optimization through single and compound indexing
05Full CRUD support for String, Number, Boolean, Date, and complex types
06Advanced data filtering using 8+ operators and AND/OR logic
Use Cases
01Architecting and deploying relational data models for AI applications
02Automating complex data migrations and schema updates via MCP tools
03Implementing high-performance search and filtering interfaces
