Guide BeepDM developers in implementing IDataSource and configuring data sources.
npx skills add https://github.com/The-Tech-Idea/BeepDM --skill beepdm
Please help me install this Agent Skill. Skill: beepdm Source: https://github.com/The-Tech-Idea/BeepDM/tree/main/.cursor/skills/beepdm Command: npx skills add https://github.com/The-Tech-Idea/BeepDM --skill beepdm
This skill provides expert guidance for Beep Data Management Engine (BeepDM) development, including implementing IDataSource, IDataSourceHelper usage, config orchestration, and migration patterns to accelerate building extensible data connectors.
Ask BeepDM for a guided walkthrough on adding a new data source by following the patterns described in this guide. Then implement a new IDataSource with AddinAttribute, register it in the configuration, and obtain a data source helper via GetDataSourceHelper to generate and execute SQL operations for schema or data tasks.
High-intent search queries and answers about installing and using this skill.
BeepDM schema discovery involves obtaining a data source helper via GetDataSourceHelper to generate and execute SQL operations. This pattern allows developers to perform schema discovery, migrations, and defaults across 287+ datasource types.
Configuring BeepDM drivers for REST APIs requires using the IConfigEditor to orchestrate driver settings and capabilities-driven operation patterns. This approach supports multi-datasource workflows across SQL, NoSQL, and REST API integrations.
Yes, BeepDM helpers support ETL tasks across both NoSQL and SQL databases. By obtaining a helper via GetDataSourceHelper, you generate tuple-based helper results that execute schema and data operations for multi-datasource workflows.
AddinAttribute discovery is required whenever creating new IDataSource implementations for BeepDM. It ensures your custom data source is automatically recognized by the IDMEEditor for schema migrations and ETL integration tasks.
BeepDM data source helpers return tuple-based results to enforce a standardized capabilities-driven operation pattern. This design ensures consistent execution and error handling when generating SQL operations for schema and data tasks.
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