add_platform.implement

Platform integration scaffolding generates adapters, templates, tests, and documentation from a single specification to standardize adding new AI platforms. This ensures alignment with existing job schemas, adapters registry, and CLI configuration for ready-to-use integrations.

Generating platform-specific command templates requires using an integration workflow that aligns with existing CLI configuration and job schemas. This produces ready-to-use templates that standardize command execution across newly introduced AI platforms.

Yes, the platform integration workflow enforces 100% test coverage by providing a complete test suite alongside adapter scaffolding. This ensures that newly integrated AI platforms meet established testing standards before deployment within DeepWork.

Yes, you can use this scaffolding to add support for a tool like Cursor by running the integration workflow on a feature branch. It enables a full integration flow from design to tested implementation, including adapters, templates, and documentation.

The best way to standardize documentation is using an integration workflow that automatically updates the project README during adapter scaffolding. This ensures all new platform integrations maintain consistent documentation alongside their generated tests and templates.