routines-discover

Discovering automation use cases for GitHub events and API triggers involves analyzing your codebase to surface high-value Routine candidates. This process identifies actionable triggers and produces structured cards detailing input, output, and value for downstream automation planning.

Routine discovery cards are structured metadata outputs that describe trigger type, input, output, and value for identified use cases. They streamline automation planning by enabling quick prioritization and providing structured data suitable for integration with downstream tooling.

Identifying high-value scheduled tasks and API triggers across a large codebase requires analyzing varying project configurations to surface actionable Routine candidates. This approach enables quick experimentation by generating structured cards that map each trigger to its specific value.

Yes, you can analyze codebases of varying sizes and configurations for trigger-based automation. The discovery process applies to diverse project setups, enabling quick experimentation and returning structured metadata cards for each identified Routine use case.

The best way to prioritize Routine use cases for schedule and GitHub-triggered events is generating structured discovery cards. These cards outline the trigger, input, output, and value, allowing teams to aid quick prioritization and experimentation during automation planning.

To start discovering Routine use cases at the root of your project, run the discovery command to generate Routine discovery cards. This Quick Start approach scans the codebase and returns structured metadata for schedule, API, and GitHub-triggered events.